2026-05-26T07:13:19Z https://ijmsi.in/index.php/files/oai

oai:ojs2.ijmsi.in:article/1 2026-04-22T05:48:37Z files:ART

Development and Characterization of Albumin-Based Nanoparticles for Sustained Release of Repaglinide Rajat Saxena Purohit Rangavitala Soumik Chatterjee Shumpenthung Ezung Uriti Sri Venkatesh Albumin nanoparticles, sustained release, repaglinide, drug delivery system, biocompatibility, controlled release, pharmacokinetics, bioavailability The study focuses on the development and characterization of repaglinide-loaded albumin nanoparticles for sustained drug release, aimed at improving the management of Type 2 diabetes. The nanoparticles were synthesized using a solvent evaporation method, resulting in uniform particle size (150 ± 5 nm) with a low polydispersity index (PDI) of 0.23, and a negative zeta potential of -20 ± 1 mV, ensuring colloidal stability. The drug loading capacity and encapsulation efficiency were 4.5 ± 0.2% and 75 ± 3%, respectively. In vitro release studies demonstrated a controlled drug release profile, with 80 ± 8% of repaglinide released over 48 hours, suggesting potential for reducing dosing frequency and enhancing patient compliance. Kinetic analysis revealed that the release followed a Fickian diffusion mechanism (R² = 0.982). The nanoparticles showed good stability over 30 days, with only slight increases in particle size and PDI. Additionally, cytotoxicity studies confirmed the biocompatibility of the nanoparticles. Comparative analysis with other drug delivery systems showed that albumin nanoparticles offer superior controlled release and drug encapsulation efficiency, making them a promising alternative for repaglinide delivery in diabetes management. Further clinical validation is required for realworld applications. Sujata Publication 2025-04-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/1 10.62896/ijmsi.v1.i1.01 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 1, April 2025; 1-9 3107-5754 eng https://ijmsi.in/index.php/files/article/view/1/1 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/2 2026-04-22T05:49:09Z files:ART

Design and Optimization of Thymoquinone-Loaded Nanosponges for Rheumatoid Arthritis Therapy Nisha Deepak Garg Soumik Chatterjee Roshani Khetan Pavan Sonule Shilpi Sharma Thymoquinone, Nanosponges, Rheumatoid Arthritis, Drug Delivery System, Inflammation, Bioavailability, Solubility, Antioxidant, Anti-inflammatory, Optimization. Rheumatoid arthritis (RA) is a chronic autoimmune disorder that leads to joint inflammation, pain, and deformities. Current treatments, including NSAIDs and DMARDs, offer symptom relief but do not address the disease's root causes and come with side effects. Thymoquinone (TQ), a compound derived from Nigella sativa, has shown potent anti-inflammatory and antioxidant properties but suffers from low solubility and bioavailability. To enhance the therapeutic efficacy of TQ, we developed thymoquinone-loaded nanosponges (TQNS) as a drug delivery system. TQ-NS were characterized for particle size, zeta potential, drug loading, and release profiles. In vitro studies demonstrated that TQ-NS significantly enhanced drug solubility and provided sustained release. Cytotoxicity tests revealed that the formulations were biocompatible, with high cell viability. Antiinflammatory assays showed a significant reduction in TNF-α and IL-6 levels, and in vivo studies in collagen-induced arthritis rats demonstrated reduced joint swelling and inflammation. The statistical analysis confirmed the effectiveness of TQ-NS in RA therapy. TQ-NS offer a promising approach for improving the bioavailability, targeting, and therapeutic efficacy of thymoquinone in the treatment of RA. Further studies are warranted to evaluate their potential in clinical settings. Sujata Publication 2025-04-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/2 10.62896/ijmsi.v1.i1.02 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 1, April 2025; 10-18 3107-5754 eng https://ijmsi.in/index.php/files/article/view/2/2 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/3 2026-04-22T05:49:33Z files:ART

Topical Delivery of Sulfasalazine via Nanosponges-Loaded Hydrogels: A Novel Approach for Enhanced Psoriasis Management Subham Mandal Suraj Mandal Sulfasalazine, Nanosponges, Hydrogel, Topical Delivery, Psoriasis Management, Controlled Release, Drug Delivery Systems, Skin Permeation, Anti-inflammatory. The treatment of psoriasis, a chronic skin condition, remains a significant clinical challenge. Traditional therapies often come with limitations such as systemic side effects and inadequate localized treatment. In this study, we propose the development of sulfasalazineloaded nanosponges incorporated into hydrogel matrices to enhance topical psoriasis management. The nanosponges, known for their ability to encapsulate and release drugs in a controlled manner, were synthesized using a simple method to improve the solubility and bioavailability of sulfasalazine. The hydrogel system was optimized for skin compatibility and ease of application. The in vitro release studies demonstrated sustained drug release, while ex vivo permeation studies indicated effective drug delivery across the skin layers. The formulation showed promising anti-inflammatory properties, and its ability to reduce psoriatic symptoms was evaluated through cell culture models. This novel nanosponges-hydrogel combination offers a promising approach to enhance the topical treatment of psoriasis, minimizing systemic exposure and maximizing localized therapeutic efficacy. Sujata Publication 2025-04-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/3 10.62896/ijmsi.v1.i1.03 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 1, April 2025; 19-23 3107-5754 eng https://ijmsi.in/index.php/files/article/view/3/3 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/4 2026-04-22T05:49:57Z files:ART

Bioadhesive Self-Nanoemulsifying Drug Delivery Systems (BSNEDDS): A Novel Strategy to Enhance Mucosal Drug Absorption and Bioavailability Soumik Chatterjee I. Niyas Ahamed Mansi Aggarwal Subham Mandal Suraj Mandal Bioadhesive, Self-Nanoemulsifying Drug Delivery System (SNEDDS), Mucosal Absorption, Drug Bioavailability, Nanoemulsion, Mucoadhesion, Drug Delivery, Pharmaceutical Formulation. The development of bioadhesive self-nanoemulsifying drug delivery systems (B-SNEDDS) represents a promising approach to enhance mucosal absorption and improve drug bioavailability. This study focuses on designing and evaluating a B-SNEDDS for effective mucosal drug delivery by combining the advantages of self-nanoemulsifying drug delivery systems (SNEDDS) with bioadhesive properties. The formulation was optimized using a blend of oil, surfactant, and cosurfactant, ensuring spontaneous nanoemulsion formation upon contact with physiological fluids. Bioadhesive polymers were incorporated to enhance retention time and improve drug absorption at the mucosal site. The prepared B-SNEDDS was characterized based on droplet size, zeta potential, drug loading efficiency, and bioadhesion strength. In vitro and ex vivo studies demonstrated improved mucosal permeability and prolonged retention time compared to conventional formulations. The results suggest that B-SNEDDS can significantly enhance mucosal drug delivery, providing an effective strategy for improving the therapeutic efficacy of poorly absorbed drugs Sujata Publication 2025-04-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/4 10.62896/ijmsi.v1.i1.04 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 1, April 2025; 24-27 3107-5754 eng https://ijmsi.in/index.php/files/article/view/4/4 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/5 2026-04-22T05:50:37Z files:ART

Stimuli-Responsive Injectable Polymeric Implants (SIPI) for Sustained Drug Delivery in Chronic Disease Management Dritan Topi Chandan Kumar Dubey Shital Sharma Rohit Bushra Fasiha Stimuli-Responsive Injectable Polymeric Implants (SIPI), Chronic Disease Management, Sustained Drug Release, Biodegradable Polymers, Drug Delivery System, Controlled Release, Polymer Characterization, In-vitro Drug Release. Chronic diseases require sustained drug release systems to ensure therapeutic efficacy and patient compliance. This study focuses on the formulation and characterization of SIPI-based (StimuliResponsive Injectable Polymeric Implants) for long-term drug release in chronic disease management. SIPI implants, designed using biocompatible and biodegradable polymers, respond to physiological stimuli to achieve controlled and prolonged drug delivery. The formulation process involves polymer selection, drug loading optimization, and in-vitro release kinetics evaluation. Characterization techniques, including Fourier Transform Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC), Scanning Electron Microscopy (SEM), and in-vitro biodegradation studies, are utilized to assess the physicochemical properties, stability, and release profile of the implants. The developed system demonstrates sustained drug release over extended periods, minimizing dosing frequency and improving therapeutic outcomes. The findings suggest that SIPI-based implants hold significant potential in managing chronic diseases, offering an innovative approach to enhancing patient adherence and treatment efficacy Sujata Publication 2025-04-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/5 10.62896/ijmsi.v1.i1.05 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 1, April 2025; 28-32 3107-5754 eng https://ijmsi.in/index.php/files/article/view/5/5 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/6 2026-04-22T05:51:25Z files:ART

Probiotic–Nanocurcumin Combination Therapy: A Novel Strategy for Colorectal Cancer Rajat Saxena Purohit Rangavitala Soumik Chatterjee Shumpenthung Ezung Uriti Sri Venkatesh Suraj Mandal Colorectal cancer, Probiotics, Nanocurcumin, Gut microbiota, Cancer therapy, Bioavailability, Nanoparticles, Inflammation, Immune modulation, Novel treatment strategies. Colorectal cancer (CRC) remains one of the leading causes of cancerrelated morbidity and mortality worldwide. The growing body of evidence suggests that gut microbiota plays a critical role in CRC development and progression, thereby opening avenues for novel therapeutic strategies. Probiotics and curcumin have separately demonstrated beneficial effects in cancer prevention and treatment, but their combined potential remains underexplored. This paper explores the synergistic effects of probiotic–nanocurcumin combination therapy in CRC treatment. Probiotics, through modulation of the gut microbiome, enhance immune function and reduce inflammation, while nanocurcumin, a nanoparticle-based formulation of curcumin, improves the bioavailability and targeted delivery of curcumin to cancerous tissues. The combination of these therapies may offer a multi-targeted approach, reducing the side effects of traditional therapies, enhancing therapeutic outcomes, and promoting gut health. This review critically examines the underlying mechanisms of action, preclinical and clinical studies, and potential applications of probiotic–nanocurcumin therapy as a novel and effective adjunct in colorectal cancer management. Future research directions and clinical trials will be essential to validate the therapeutic potential of this combination approach. Sujata Publication 2025-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/6 10.62896/ijmsi.v1.i2.01 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 2, July-Dec 2025; 1-11 3107-5754 eng https://ijmsi.in/index.php/files/article/view/6/6 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/7 2026-04-22T05:54:55Z files:ART

Nanoparticle-Based Targeted Therapies in Cancer: Opportunities and Challenges Subham Mandal Suraj Mandal Nanoparticles, targeted therapy, cancer treatment, drug delivery, biocompatibility, therapeutic efficacy, cancer cells, immunotoxicity, drug solubility, clinical translation. Nanoparticle-based targeted therapies have emerged as a promising strategy for the treatment of cancer, offering significant advantages over traditional therapeutic approaches. These therapies leverage the unique properties of nanoparticles, such as their size, surface characteristics, and ability to be functionalized with specific ligands, to deliver drugs directly to tumor cells, minimizing systemic toxicity and enhancing therapeutic efficacy. This paper explores the opportunities provided by nanoparticlebased therapies, including their ability to overcome biological barriers, improve drug solubility, and enable precise targeting of cancer cells. Additionally, we discuss the challenges involved in the development of nanoparticle-based cancer treatments, including issues related to biocompatibility, potential immune responses, and manufacturing scalability. The future of this technology is promising, with ongoing research aimed at overcoming these hurdles and optimizing the clinical translation of nanoparticle-based therapies in oncology Sujata Publication 2025-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/7 10.62896/ijmsi.v1.i2.04 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 2, July-Dec 2025; 32-40 3107-5754 eng https://ijmsi.in/index.php/files/article/view/7/7 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/8 2026-04-22T05:52:27Z files:ART

Ion-Sensitive Gellan Gum–Arabinogalactan Hydrogels for Ocular Delivery in Dry Eye Disease Nisha Suraj Mandal Shilpi Sharma Dry Eye Disease, Ion-sensitive hydrogels, Gellan gum, Ocular drug delivery, Controlled drug release, Cytotoxicity, Ocular retention. Dry eye disease (DED) is a multifactorial disorder that affects a significant portion of the population, leading to discomfort, visual disturbances, and potential damage to the ocular surface. The need for effective drug delivery systems to treat DED has driven the development of novel formulations that can enhance therapeutic efficacy while minimizing side effects. In this study, we explore the potential of ionsensitive gellan gum (GG) and arabinogalactan (AG) hydrogels as a promising ocular delivery system for dry eye disease. The combination of GG and AG forms a biocompatible, biodegradable hydrogel that responds to changes in ionic strength, allowing for controlled drug release at the ocular site. The hydrogel formulation was evaluated for its physical properties, including gelation time, viscosity, and swelling behavior, as well as its drug release kinetics using model drugs commonly used in DED therapy. In vitro cytotoxicity studies confirmed the non-toxic nature of the hydrogels to human corneal epithelial cells. In vivo studies demonstrated enhanced ocular retention time and improved therapeutic outcomes in DED models compared to conventional eye drops. The results of this study suggest that ionsensitive GG-AG hydrogels may offer a novel, effective, and patientfriendly approach for the treatment of dry eye disease, providing prolonged drug delivery and improved ocular comfort. Sujata Publication 2025-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/8 10.62896/ijmsi.v1.i2.02 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 2, July-Dec 2025; 12-21 3107-5754 eng https://ijmsi.in/index.php/files/article/view/8/8 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/10 2026-04-22T05:53:42Z files:ART

Posaconazole-Loaded Chitosan Transdermal Films: A Microemulsion-Based Strategy for Aspergillosis Subham Mandal Suraj Mandal Posaconazole, Chitosan, Transdermal Films, Microemulsion, Aspergillosis, Drug Delivery, Bioavailability, Controlled Release, Skin Permeation. Posaconazole, a broad-spectrum antifungal agent, has gained prominence in the treatment of Aspergillosis. However, its clinical efficacy is often limited due to poor bioavailability and the need for frequent administration. To overcome these limitations, this study proposes the development of Posaconazole-loaded chitosan transdermal films using a microemulsion-based strategy. The microemulsion system serves as a potential carrier for enhanced drug penetration, facilitating controlled release and increasing the bioavailability of Posaconazole. Chitosan, a biocompatible and biodegradable polymer, was utilized to prepare transdermal films that exhibit favorable mechanical properties and skin permeability. The films were optimized for their drug-loading capacity, in vitro release behavior, and skin permeation profile, with the goal of improving the therapeutic efficacy of Posaconazole in the treatment of Aspergillosis. The results demonstrate that the microemulsion-based strategy significantly enhances the transdermal delivery of Posaconazole, providing a promising alternative to conventional oral or intravenous formulations. This approach holds potential for improving patient compliance and treatment outcomes for Aspergillosis. Sujata Publication 2025-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/10 10.62896/ijmsi.v1.i2.03 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 2, July-Dec 2025; 22-31 3107-5754 eng https://ijmsi.in/index.php/files/article/view/10/9 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/11 2026-04-22T05:55:16Z files:ART

Phytochemicals as Epigenetic Modulators in Cancer Therapy Mukesh Kumar Subham Mandal Suraj Mandal Phytochemicals, Epigenetics, Cancer Therapy, DNA Methylation, Histone Modification, Flavonoids, Polyphenols, Terpenoids, Epigenetic Modulators, Cancer Prevention. Phytochemicals, the bioactive compounds found in plants, have garnered significant attention for their potential role in cancer prevention and therapy. Emerging evidence suggests that these natural compounds can modulate epigenetic mechanisms, which play a critical role in gene expression regulation, chromatin remodeling, and cell differentiation. By influencing epigenetic modifications such as DNA methylation, histone modification, and non-coding RNA expression, phytochemicals can potentially reverse aberrant epigenetic changes that drive cancer initiation and progression. This paper explores the diverse classes of phytochemicals, including flavonoids, polyphenols, terpenoids, and alkaloids, and their mechanisms of action as epigenetic modulators in cancer cells. Additionally, we discuss the challenges and opportunities for integrating phytochemicals into current cancer therapy regimens, highlighting the need for further research to understand their therapeutic potential and clinical applicability. Ultimately, the incorporation of epigenetic-modulating phytochemicals could offer a novel, non-toxic adjunct to conventional cancer treatments, with the promise of improved patient outcomes and reduced side effects. Sujata Publication 2025-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/11 10.62896/ijmsi.v1.i2.05 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 2, July-Dec 2025; 41-51 3107-5754 eng https://ijmsi.in/index.php/files/article/view/11/10 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/12 2026-04-22T05:55:39Z files:ART

Smart Prepaid Energy Meter Rajendra Bjimraj Madake Manoj Dhondiram Patil Prepaid Meter, Theft detection, Power theft, smart meter, GSM. The goal of this study is to create a smart prepaid energy meter that can address some of the problems India's present metering system is now facing. The majority of energy meters in India are electrochemical in design, although digital and electronics metros are progressively taking their position as more reliable and accurate energy meters. Power theft, inaccurate meter reading and invoicing, and consumers who are reluctant to pay their electricity bills on time all contribute to the loss of a significant amount of money from the sale of electricity. Delivering the same amount that was paid before consumption will generate significant revenue from customers. This study recommends a smart prepaid energy meter that offers services including prepaid billing and electricity theft. For a prepaid system, our suggested design model includes an Arduino UNO and GSM technology. For the purpose of detecting electricity theft, the model uses CT and PT to detect the current and voltage differential, respectively. Over the proteus platform, the proposed model is tested and simulated. Sujata Publication 2025-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/12 10.62896/ijmsi.v1.i2.06 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 2, July-Dec 2025; 52-58 3107-5754 eng https://ijmsi.in/index.php/files/article/view/12/11 Copyright (c) 2025 International Journal of Multidisciplinary Science and Innovation https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/13 2026-04-22T05:56:24Z files:ART

Microcontroller based wireless turn light indication system for trolley of tractor Rajendra Bjimraj Madake Manoj Dhondiram Patil Steering, Tractor., IR Sensor, RF Module, Receiver, Transmitter. In the 21st century engineering teaching learning process of interdisciplinary courses like microcontroller and its applications, there is need to avail the state-of-the-art learning techniques to enhance the student understanding, along with advanced electronic instrumentation which has become affordable to be used for routine academic demonstration. This paper discusses the concept of a Microcontroller based wireless turn light indication system for trolley of tractor. This methodology avails the advanced technology; people try to make use of wireless technologies in different role. In this system uses the IR sensor, transmitter, receiver and micro controller. Main heart of the system is RF Module. It has two parts RF transmitter and RF receiver. The IR sensors use to detect steering wheel movement and gives signal to Encoder. HT12E are used for encoding and HT12D used for decoding the data. The 4-bit data is converted via HT12E encoder IC. Assign serial data to RF transmitter. At the Receiver side, receiver receive the serial data and this data is sent to HT12D decoder IC which converts into parallel data. Use a micro controller and relay channel to control the indicator signal. The proposed paper aimed to detect the steering direction by IR sensors and turn on/off the left and right. vehicle indicators based on the position of the steering wheel read. This switching is done wireless, avoiding bulky wiring in the vehicle. Automatic turn signal control protects users from accidents and driving safety. Sujata Publication 2025-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/13 10.62896/ijmsi.v1.i2.07 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 2, July-Dec 2025; 59-65 3107-5754 eng https://ijmsi.in/index.php/files/article/view/13/12 Copyright (c) 2025 International Journal of Multidisciplinary Science and Innovation https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/14 2026-04-22T05:56:48Z files:ART

Mobile Solar Photovoltaic Water Pumping System Rajendra Bjimraj Madake Manoj Dhondiram Patil Photovoltaic system, Mobile water pumping System, modelling, simulation, MATLAB, pumps, MPPT Solar photovoltaic (PV) water pumping systems are a good alternative to traditional water pumps powered by electricity or diesel because of their low cost and environmental friendliness. These gadgets are suitable for remote places where there is no access to the power grid. Sun PV system output varies with environmental factors such as solar irradiation and temperature. This paper presents a low-cost photovoltaic water pumping system with maximum power point tracking for water harvesting in distant areas. To extract the greatest available power from PV panels, the MPPT P & O algorithm is employed. MPPT charge controller technology boosts efficiency. To increase the PV module voltages for the needed load, an MPPT DC-DC boost converter is used. Sujata Publication 2025-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/14 10.62896/ijmsi.v1.i2.08 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 2, July-Dec 2025; 66-74 3107-5754 eng https://ijmsi.in/index.php/files/article/view/14/13 Copyright (c) 2025 International Journal of Multidisciplinary Science and Innovation https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/15 2026-04-22T05:57:10Z files:ART

Synthesis and Characterization of Composite Eco-Bricks from Waste Plastic, Foundry Sand, and Boiler Ash: A Novel Approach to Sustainable Construction Materials S. B. Hivarekar P. A. Pisal waste plastic, foundry sand, boiler ash, eco-bricks, compressive strength, sustainability, waste management, circular economy. The exponential generation of plastic waste, foundry waste sand (WFS), and coal boiler ash presents a dual challenge of environmental degradation and resource management. This study investigates the feasibility of manufacturing composite eco-bricks by integrating these three industrial waste streams as primary constituents. Bricks were synthesized using a waste material proportion of 46:46:8 (plastic waste: foundry sand: boiler ash) and subjected to comprehensive laboratory characterization including compressive strength testing, water absorption analysis, melting point assessment, and mortar bonding evaluation. Results demonstrated a compressive strength of 8.66 N/mm², representing a 148% improvement over conventional bricks and exceeding the minimum threshold of 3.5 N/mm² specified by Indian Standards (IS 1077:1992). Water absorption was significantly lower than conventional burnt clay bricks, indicating superior durability characteristics. The bricks exhibited successful adhesion with specialized AAC (Autoclaved Aerated Concrete) block bonding agents, confirming structural viability. This research demonstrates that waste-derived composite bricks represent a technically sound and environmentally sustainable alternative to conventional construction materials, simultaneously addressing waste management challenges and reducing landfill burden. The economic and environmental benefits of this approach have substantial implications for circular economy practices in the construction industry. Sujata Publication 2025-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/15 10.62896/ijmsi.v1.i2.09 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 2, July-Dec 2025; 70-90 3107-5754 eng https://ijmsi.in/index.php/files/article/view/15/14 Copyright (c) 2025 International Journal of Multidisciplinary Science and Innovation https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/16 2026-04-22T05:57:36Z files:ART

Assessment of Leachate Impact on Ground Water and Soil Quality Near Kasabe Digraj Dumping Site, Sangli, Maharashtra, India S. B. Hivarekar P. A. Pisal Solid Waste, Landfill, Kasabe Digraj Dumping site, Leachate percolation, Water Quality. Based on population Maharashtra ranks first in urbanization among the all-major states in the country. Sangli city ranks in top 20 major cities in Maharashtra in urbanization. As compare to rural population the requirement of urban population is also a wide range of needs like clean water supply, sewerage and solid waste management etc. In most urban areas, the strong waste is dumped in open dumps without appropriate coating which influences the ecological media, for example, air, water and land. Along these lines, the present examination was centered around the effect of leachate permeation on ground water quality and soil quality. Leachate, soil and ground water samples were collected from Kasabe Digraj site and the surrounding areas of within 1.5 Km radius. The concentration of pH, EC, TDS, TH, Cl- , SO42-, NO3- and heavy metals is high in the sampling site near to the dumping yard. The high concentration of these chemical parameters and heavy metals reveals that there is a ground water and soil contamination from leachate percolation in the study area. Sujata Publication 2025-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/16 10.62896/ijmsi.v1.i2.10 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 2, July-Dec 2025; 91-104 3107-5754 eng https://ijmsi.in/index.php/files/article/view/16/15 Copyright (c) 2025 International Journal of Multidisciplinary Science and Innovation https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/17 2026-04-22T05:58:00Z files:ART

Performance Evaluation of Locally Fabricated Point-of-Use (PoU) Clay Filters with Organic Additives for Turbidity Removal in Rural Household Water Treatment S. B. Hivarekar P. A. Pisal Point-of-Use (PoU) clay filter, turbidity, drinking water, water treatment, flow rate This paper evaluates, tests, and economically evaluates a Point-of-Use (PoU) clay filter, impregnated with natural materials, for turbidity removal from rural drinking water in Maharashtra, India. The work emphasizes use of locally available resources and real household operating conditions to produce an affordable, field-validated treatment option. The Point-of-Use (PoU) clay filter was fabricated from clay blended with combustible organics (sawdust or groundnut shell powder) that burn out during firing to create a porous module, assembled in a PVC-based housing with copper piping and a brass outlet nozzle. Source water was taken from Warna River supply to Haripur village, which, after sand filtration, still failed to meet IS 10500:2012 turbidity limits, and was treated in 20 L batch runs under dayto-day household usage. Flow rate was determined by the time–volume method, while turbidity of influent and filtrate was monitored using a calibrated turbidity meter; modules were periodically backwashed and their hydraulic and removal performance tracked over cumulative throughput. Two module formulations were evaluated: Module 1 (sawdust-based) and Module 2 (groundnut shell-based), enabling assessment of the influence of organic additive on porosity, flow, and longevity. Module 1 achieved an average turbidity removal efficiency of 90.14 ± 0.37%, reducing raw water from 6.02 ± 2.69 NTU (up to 13.40 NTU) to 0.58 ± 0.27 NTU, consistently satisfying IS 10500:2012 turbidity standards, with mean flow rate of 67.77± 52.00 LPH and about 80% flow restoration after backwashing. Module 8 showed lower performance, with 74.58 ± 0.58% removal, residual turbidity of 1.46 ± 0.52 NTU, lower flow (23.21 ± 21.11 LPH), and weaker hydraulic recovery and shorter predicted lifespan. Performance was consistent between laboratory and PoU operation across turbidity ranges, confirming the robustness of the design. A detailed cost analysis gave a unit cost of about INR 620, less than half that of comparable commercial candle filters (~INR 1400), while delivering similar or better turbidity removal. The study demonstrates that sawdust-based Point-of-Use (PoU) clay filter can provide a technically effective, low-cost, and locally manufacturable solution for rural household water treatment in developing regions. Sujata Publication 2025-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/17 10.62896/ijmsi.v1.i2.11 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 1 , Issue 2, July-Dec 2025; 105-112 3107-5754 eng https://ijmsi.in/index.php/files/article/view/17/16 Copyright (c) 2025 International Journal of Multidisciplinary Science and Innovation https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/23 2026-03-13T13:22:26Z files:ART

Histopathology Image Analysis Tool: Revolutionizing Digital Pathology Through Automated Tissue Intelligence Pravin Badhe Supriyo Acharya Shanta Adak Histopathology image analysis; Digital pathology; Automated tissue intelligence; Artificial intelligence; Image processing; Biomedical engineering; Precision medicine; Diagnostic automation The rapid advancement of digital pathology has created unprecedented opportunities for enhancing diagnostic accuracy, efficiency, and reproducibility in histopathological evaluation. The Histopathology Image Analysis Tool (HIAT) represents a transformative approach that integrates automated tissue intelligence with advanced image processing and computational algorithms to support pathologists in routine and complex diagnostic workflows. This tool enables high-resolution analysis of whole-slide images, facilitating automated tissue segmentation, cellular feature extraction, and quantitative assessment of morphological patterns associated with disease progression. By minimizing inter-observer variability and reducing manual workload, HIAT enhances diagnostic consistency while enabling scalable analysis of large histopathological datasets. Furthermore, the integration of artificial intelligence–driven analytics allows real-time decision support, predictive modeling, and data-driven insights that bridge pathology with precision medicine. The implementation of automated tissue intelligence not only accelerates diagnostic turnaround time but also supports translational research by enabling objective biomarker discovery and standardized tissue assessment. Overall, the Histopathology Image Analysis Tool signifies a paradigm shift in digital pathology, offering a robust platform that aligns medical diagnostics with emerging trends in artificial intelligence, biomedical engineering, and computational healthcare. Sujata Publication 2026-01-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/23 10.62896/ijmsi.2.1.01 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 1-5 3107-5754 eng https://ijmsi.in/index.php/files/article/view/23/20 Copyright (c) 2026 International Journal of Multidisciplinary Science and Innovation

oai:ojs2.ijmsi.in:article/24 2026-04-13T06:58:08Z files:ART

Effect of Visual Training on Balance Ability and Peripheral Vision of Volleyball Players Vasanthanaik P. Gajanana Prabhu B. Balance ability, Peripheral vision, Inter-collegiate, Visual training, Training protocol and Players. Since volleyball is a team sport, players must communicate well with one another and work well together to win. It takes skill to lift and hit the ball in a volleyball match. Because of the fast-paced nature of the game and its constantly-evolving scoring structure, volleyball players must possess exceptional agility, coordination, peripheral vision, reaction time, and balancing skills. The purpose of the study was to determine the effect of twelve weeks visual training on balance ability and peripheral vision. Thirty male inter-collegiate level players were selected randomly for this study. Their age ranged from 24 to 27 years. The current study consisted of the Peripheral vision test (Perimetry) and ‘Y’ balance ability test during pre-test and post-test situations for the Volleyball visual training group. A total of nine training modules were selected by the researcher in consultation with experts in the field of volleyball. The modules were targeted to improve the vision ability and overall performance of selected subjects for the present investigation. A single group pre-test and post-test research design was used in this study to assess the effectiveness of treatment protocol. Tests for normalcy and descriptive statistics were also used in this investigation. Additionally, the paired sample 't' test was applied to investigate the existence of significant difference between pre-test and post-test situations for the Volleyball visual training group. The balance ability and peripheral vision of inter-collegiate level volleyball players significantly improved due to participation in specialized target oriented visual training protocol for twelve weeks used in the present investigation. Sujata Publication 2026-01-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/24 10.62896/ijmsi.2.1.02 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 6-13 3107-5754 eng https://ijmsi.in/index.php/files/article/view/24/21 Copyright (c) 2026 International Journal of Multidisciplinary Science and Innovation https://creativecommons.org/licenses/by-nc/4.0

oai:ojs2.ijmsi.in:article/25 2026-03-13T13:22:26Z files:ART

How Moisture Level Impact MRI Room performance and Patient Safety: A Comprehensive Analysis Imroj Khan Deepak Kumar Singhania Sajjad Ali Md Saddam Ansari Magnetic resonance imaging (MRI); relative humidity; moisture control; MRI environmental conditions; HVAC systems; RF coil performance; image quality; signal-to-noise ratio; patient safety; electrostatic discharge; infection control; MRI hardware reliability; clinical quality assurance; environmental monitoring. Magnetic Resonance Imaging (MRI) is a highly sensitive imaging modality that requires strict environmental control to ensure optimal performance and patient safety. Among environmental factors, moisture level—commonly expressed as relative humidity—plays a critical yet often underrecognized role in influencing MRI hardware reliability, image quality, and clinical safety. This study examines the impact of high and low moisture conditions in MRI suites, focusing on their effects on image quality, superconducting magnet systems, radiofrequency (RF) coils, electronic components, and patient comfort and safety. Elevated humidity levels are associated with increased RF noise, image artifacts, corrosion of coils and electronic components, condensation-related equipment malfunction, and heightened infection and slip hazards. Conversely, excessively low humidity increases the risk of electrostatic discharge, electronic instability, and patient discomfort. The findings are discussed in the context of existing standards and guidelines, including recommendations from the American College of Radiology (ACR), ASTM, engineering-based MRI facility practices, and controlled-environment principles outlined in ISO 14644. Although current guidelines emphasize environmental stability, explicit humidity thresholds for MRI rooms remain limited. The study highlights the need for continuous environmental monitoring, dedicated HVAC systems, and improved reporting of moisture-related incidents. Future research should focus on quantitative, multi-center studies to establish stronger correlations between humidity control and MRI performance outcomes. Overall, this work underscores moisture management as a fundamental component of MRI quality assurance and patient safety. Sujata Publication 2026-01-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/25 10.62896/ijmsi.2.1.03 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 14-22 3107-5754 eng https://ijmsi.in/index.php/files/article/view/25/22 Copyright (c) 2026 International Journal of Multidisciplinary Science and Innovation https://creativecommons.org/licenses/by-nc/4.0

oai:ojs2.ijmsi.in:article/29 2026-03-13T13:22:26Z files:ART

Digital Intimacy and the Law: A Study on Consent, Privacy, and Punishment under the Bharatiya Nyaya Sanhita Preeti Digital intimacy, Consent, Privacy, Accountability, Bharatiya Nyaya Sanhita, Feminist legal theory, Digital consent theory, Expressive punishment theory, Non-consensual dissemination of intimate images, Voyeurism, Cyberstalking, Sextortion, Deepfakes, Victim-blaming, Social stigma, Platform governance The Bharatiya Nyaya Sanhita (BNS), 2023, is a significant legal development in India's approach to digital-mediated intimacy-related offenses. Nonetheless, the fluid nature of the digital consent, as well as the development of new/novel technologies, including deepfakes and AIgenerated content, makes the BNS less effective in its fight against digital sexual harms. This paper is a synthesis of the recent research works as it aims to explore the response of the BNS to its changing conceptualisation of consent, privacy and accountability in the digital intimacy. It highlights the weaknesses of the BNS gender-specific problems, lacking implementation procedures, and gaps in the evidence that fail to capture the relationship and contextual nature of digital violations of consent. The paper suggests legal changes, which include a dedicated offence of digital intimacy harms, which is not gender-based, the positive elements of consent, and the responsibility of platforms. It further reiterates the necessity of specialised training in cyber forensics, victim-oriented enforcement practices, and judicial training on a relational-based consent model. These reforms are expected to develop a culturally sensitive legal ecosystem that supports individual autonomy, privacy and dignity online and to respond to the gendered power imbalance and technological incomprehensiveness of digital sexual violence. Sujata Publication 2026-01-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/29 10.62896/ijmsi.2.1.04 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 23-32 3107-5754 eng https://ijmsi.in/index.php/files/article/view/29/25 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/30 2026-03-13T13:22:26Z files:ART

Advances in Digital Histopathology: A Comparative Review of Automated Tissue Analysis Tools and the Innovation Behind the Histopathology Image Analysis Platform Pravin Badhe Vidya Patil Digital pathology, histopathology image analysis, biomarker scoring, H&E stain deconvolution, automated diagnosis, computational pathology, immunohistochemistry quantification, diagnostic interpretation, precision medicine, healthcare informatics The integration of computational methods into histopathology represents a paradigm shift in diagnostic accuracy and laboratory efficiency. Despite the proliferation of digital pathology tools, the field lacks integrated platforms that seamlessly combine morphometric analysis, H&E stain quantification, and standardized biomarker scoring in an accessible format. This review examines the capabilities and limitations of existing digital pathology solutions including QuPath, HALO, ImageJ, and CellProfiler and introduces the Histopathology Image Analysis Tool, a web-based platform engineered to address critical gaps in the current market. The tool integrates automated cell counting, stain deconvolution algorithms, nuclear-to-cytoplasmic ratio calculation, and standardized biomarker scoring (ER, PR, HER2, Ki-67) with built-in diagnostic interpretation modules. By synthesizing quantitative analysis with clinical rulebased interpretation, the platform accelerates tissue evaluation, reduces inter-observer variability, and enhances reporting consistency without requiring whole-slide imaging infrastructure. This review demonstrates that unified, accessible digital pathology platforms bridge the gap between high-cost commercial solutions and basic open-source tools, positioning them as essential assets for clinical diagnostics, translational research, and medical education. Sujata Publication 2026-02-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/30 10.62896/ijmsi.2.1.05 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 33-42 3107-5754 eng https://ijmsi.in/index.php/files/article/view/30/26 https://creativecommons.org/licenses/by/4.0

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oai:ojs2.ijmsi.in:article/33 2026-03-13T13:22:26Z files:ART

Challenging Gender Norms: The Role of Feminism in Redefining Femininity and Empowering Personal Narratives Ranjana Kumari Feminism, Gender Norms, Femininity, Personal Empowerment, Gender Equality, Feminist Movements, Identity, Intersectionality, Empowerment, Social Change, Patriarchy, Women's Autonomy, Cultural Contexts This paper explores the role of feminism in challenging traditional gender norms and redefining femininity, particularly focusing on how these shifts contribute to personal empowerment. It critically examines how feminist movements have reshaped societal expectations of women, offering alternative narratives to conventional notions of femininity that often limit women's roles and identities. The research investigates the impact of feminism on empowering individuals by promoting autonomy, equality, and self-expression. It further analyzes how feminist ideologies encourage women to reclaim and reconstruct their sense of self beyond patriarchal standards. By highlighting the intersectionality within feminist discourse, the paper also examines how race, class, and other social factors influence the way femininity is redefined in different cultural contexts. Ultimately, the study emphasizes the transformative power of feminism in fostering an inclusive, empowered, and more diverse understanding of womanhood. Sujata Publication 2026-02-24 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/33 10.62896/ijmsi.2.1.06 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 43-46 3107-5754 eng https://ijmsi.in/index.php/files/article/view/33/28 Copyright (c) 2026 International Journal of Multidisciplinary Science and Innovation https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/36 2026-03-13T13:17:38Z files:ART

oai:ojs2.ijmsi.in:article/37 2026-03-13T13:22:26Z files:ART

Evaluating AI-Based Methods for Sugarcane Leaf Disease Detection and Classification using Image Processing Techniques Sumit Bharti Umar Badr Shafeeque Artificial Intelligence, Machine Learning, Deep Learning, Plant Leaf Disease Detection, Precision Agriculture, Crop Management The health of sugarcane crops is fundamentally significant for the rural economy, yet they are habitually compromised by different leaf illnesses that can altogether decrease yield and quality. Powerful and opportune location and arrangement of these sicknesses are fundamental for carrying out suitable administration methodologies. A comprehensive comparison of various artificial intelligence (AI) methods for identifying and classifying sugarcane leaf diseases is presented in this study. Leaf diseases impact food security and profitability by lowering agricultural output and quality. In most country India, agribusiness is the principal kind of revenue. Consequently, farming plant infections should be naturally analyzed and arranged utilizing exceptional and exact man-made intelligence (Computerized reasoning) strategies. This permits ideal preventive counsel. Image processing, Machine Learning, and Deep Learning are utilized in AI strategies. The most recent studies on sugarcane leaf disease detection and classification were thoroughly examined. The investigation centers around DL or ML calculations, explore datasets, execution pointers, and model precision. SVM (Support Vector Machine) was used in 45 percent of sugarcane leaf image classification studies, while KNN (K-Nearest Neighbors) was used in 22%. In 22% of queries, K-means clustering and ANN (Artificial Neural Network) classifiers were utilized. Pre-trained models were used in 44% of studies, while CNN (Convolutional Neural Network) models were used in 56%. When compared to controlled laboratory images, the performance of machine learning and deep learning models on realworld image datasets is subpar. Deep learning models, on the other hand, were 98.84 percent more accurate than machine learning models. Image categorization with ML models is inferior. Prior research's detection and classification techniques had significant flaws. New crop disease diagnosis and plant leaf disease detection and classification methods will be discovered thanks to this study. Sujata Publication 2026-03-11 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/37 10.62896/ijmsi.2.1.08 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 55-70 3107-5754 eng https://ijmsi.in/index.php/files/article/view/37/30 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/38 2026-03-11T06:45:27Z files:ART

oai:ojs2.ijmsi.in:article/41 2026-03-13T13:22:26Z files:ART

Design and Implementation of a Real-Time Fraud Detection System Leveraging Machine Learning Nimisha Pandey Umar Badr Shafeeque Machine learning, Minimum losses, E-commerce, Real-time fraud, AWS (Amazon Web Services), FDS The threat of fraud has emerged as a pressing concern for financial institutions, e-commerce platforms, and a wide range of online service providers in an era when digital transactions and online interactions have become commonplace. Businesses and consumers alike face significant risks from fraudulent activities like account takeovers, identity theft, and credit card fraud, which can result in substantial financial losses and compromised personal information. In the steadily advancing scene of computerized exchanges and online co-operations, the predominance of fake activities has required the advancement of hearty extortion discovery systems. This paper presents a clever way to deal with planning an effective Fraud Detection System (FDS) for constant applications, utilizing progressed Machine Learning calculations. To improve the accuracy and effectiveness of fraud detection, the proposed system combines a number of machine learning (ML) methods, such as supervised learning algorithms like Random Forests, Gradient Boosting Machines, and Support Vector Machines, and unsupervised learning methods like Auto encoders and Clustering algorithms. In order to deal with the diverse and imbalanced nature of transaction data, the system makes use of feature engineering and data preprocessing strategies. Continuous handling abilities are accomplished using streaming information systems and adaptable ML models, guaranteeing convenient ID and alleviation of deceitful exercises. Metrics like precision, recall, and F1-score are used for performance evaluation. The results show that compared to traditional methods, there are significant improvements in detection rates and fewer false positives. The proposed FDS framework not just works on the unwavering quality of misrepresentation recognition continuously situations yet in addition offers bits of knowledge into the versatile idea of misrepresentation designs, preparing for stronger and proactive safety efforts in monetary and web based business spaces. Future research could investigate the incorporation of cutting edge profound learning models and further advancement of the framework design to deal with considerably bigger datasets and more mind boggling extortion designs. Sujata Publication 2026-03-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/41 10.62896/ijmsi.2.1.09 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 71-79 3107-5754 eng https://ijmsi.in/index.php/files/article/view/41/32 Copyright (c) 2026 International Journal of Multidisciplinary Science and Innovation https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/43 2026-03-13T13:22:26Z files:ART

AI-Powered Smart Irrigation Systems for Sustainable Agriculture Divya Verma Umar Badr Shafeeque Artificial Intelligence, Smart Irrigation, IoT, Precision Agriculture, Sustainable Farming, Water Management. Agriculture is the backbone of the global economy, but it faces critical challenges, including water scarcity, inefficient irrigation practices, and the need for sustainable resource management. Traditional irrigation systems often lead to overuse of water, resulting in wastage and reduced crop productivity. To address these issues, this dissertation focuses on the development and implementation of an AI-Powered Smart Irrigation System. The proposed system integrates Artificial Intelligence (AI) with Internet of Things (IoT) technologies to automate and optimize irrigation processes. Real-time data, including soil moisture levels, weather conditions, and crop-specific requirements, are collected through IoT sensors. Machine learning algorithms analyze this data to predict water needs accurately, ensuring precise and timely irrigation. The system also incorporates user-friendly interfaces for remote monitoring and control, enabling farmers to make informed decisions. This research employs a comprehensive methodology, including a detailed system design, simulation, and field trials in diverse agricultural conditions. The anticipated outcomes include significant water savings, increased crop yield, and reduced environmental impact, offering a sustainable and scalable solution for modern farming. By addressing the intersection of technology and agriculture, the study contributes to solving critical global challenges such as food security, water management, and climate resilience. Sujata Publication 2026-03-10 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/43 10.62896/ijmsi.2.1.07 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 47-54 3107-5754 eng https://ijmsi.in/index.php/files/article/view/43/33 Copyright (c) 2026 International Journal of Multidisciplinary Science and Innovation https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/45 2026-04-10T11:10:27Z files:ART

Integrating Indian Knowledge Systems and Artificial Intelligence for Sustainable Heritage Tourism Development in Pune City Nachiket Aradhye Artificial intelligence, Indian knowledge systems, heritage tourism, cultural sustainability, authenticity, digital interpretation Technological innovation and traditional knowledge frameworks are increasingly recognized as complementary approaches in sustainable heritage tourism development. This study explores the integration of Artificial Intelligence (AI) and Indian Knowledge Systems (IKS) as a multidimensional framework for improving visitor engagement, accessibility, authenticity, and sustainability. Using an exploratory qualitative research design, the study synthesizes interdisciplinary literature from tourism studies, technology research, cultural heritage scholarship, and indigenous knowledge research. Findings indicate that AI enhances interpretation, accessibility, and personalization, while IKS contributes cultural depth, ethical grounding, and sustainability orientation. The analysis suggests that heritage tourism strategies are most effective when technological tools are guided by culturally rooted knowledge systems. The study proposes an integrated conceptual approach that combines digital innovation with traditional knowledge to support inclusive, authentic, and sustainable heritage tourism development. Sujata Publication 2026-04-02 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/45 10.62896/ijmsi.2.1.10 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 80-84 3107-5754 eng https://ijmsi.in/index.php/files/article/view/45/34 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/47 2026-04-10T11:10:36Z files:ART

Management of Glaucoma: Effective Drug Delivery via Niosomes Tulsi Bisht Anu Singh Rawat Niosomes, Glaucoma, novel drug delivery. Glaucoma is a term used for a group of diseases; associated with optic nerve damage which leads to loss of retinal ganglionic cells. Niosomes which are nano-sized, non-ionic surfactant vesicles, offer a superior drug delivery system for glaucoma by overcoming traditional eye drop limitations like rapid drainage and poor penetration, leading to sustained drug release, prolonged ocular residence, better patient compliance, and reduced side effects by encapsulating drugs like latanoprost or brimonidine within their bilayers, enhancing drug availability at the target site to effectively lower intraocular pressure (IOP) and prevent blindness. Sujata Publication 2026-04-10 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/47 10.62896/ijmsi.2.1.11 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 85-88 3107-5754 eng https://ijmsi.in/index.php/files/article/view/47/35 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/48 2026-04-10T11:10:44Z files:ART

Impact of postpartum hypothyroidism on menstrual patterns and quality of life: A Longitudinal Study Shipra Shrivastava Devesh Kumar Joshi Ruchir Jain Parag Kumar Shrivastava Postpartum hypothyroidism, Menstrual irregularities, Quality of life (QoL), Thyroid profile, Women’s health Introduction: Postpartum hypothyroidism is a common condition affecting women's health and quality of life. This study aimed to evaluate its impact on menstrual patterns and QoL in postpartum women. Objective: To evaluate the impact of postpartum hypothyroidism on menstrual patterns and quality of life (QoL) in women. Methods: This longitudinal study included 470 postpartum women, of whom 122 had hypothyroidism (cases). The study included 120 women aged 18-45 who presented with menstrual abnormalities. All these subjects were evaluated clinically and the data recorded as per the proforma. This study aims to comprehensively analyze the association between hypothyroidism and menstrual irregularities in women attending Rajeev Gandhi College and General Hospital, Bhopal (MP). Menstrual patterns and QoL scores were assessed at 6 weeks, 3 months, 6 months, and 1 year postpartum. Results: Women with postpartum hypothyroidism (n=122, 25.9%) had higher rates of menstrual irregularities (e.g., irregular cycles in 53.3%) and lower QoL scores (52.3±10.5) compared to women without hypothyroidism. TSH levels correlated negatively with QoL scores (r=-0.35, p<0.01). Conclusion: Postpartum hypothyroidism is associated with significant menstrual irregularities and impaired QoL. Early detection and management may improve outcomes. Hypothyroidism is known to affect a wide range of physiological systems, including menstrual function, in women of reproductive age. Sujata Publication 2026-04-10 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/48 10.62896/ijmsi.2.1.12 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 89-95 3107-5754 eng https://ijmsi.in/index.php/files/article/view/48/36 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/50 2026-04-14T05:44:14Z files:ART

Garlic Oil and Manuka Honey-Based Nanoemulsion Systems for Antimicrobial Therapy: Current Insights and Future Perspectives Ritu Bharti Tulsi Bisht Garlic oil, Manuka honey, Nanoemulsion, Antimicrobial therapy, Polyherbal formulation Garlic oil and Manuka honey are natural antimicrobial agents widely recognized for their therapeutic potential. Garlic oil contains sulfur-based compounds responsible for antimicrobial activity, while Manuka honey exhibits unique antibacterial properties due to methylglyoxal content. However, their pharmaceutical application is limited by poor solubility, instability, and formulation challenges. Nanoemulsion-based drug delivery systems provide an effective approach to enhance stability, bioavailability, and antimicrobial efficacy. This review focuses on formulation strategies, characterization, antimicrobial mechanisms, applications, challenges, and future perspectives of garlic oil and Manuka honey-based nanoemulsion systems. The synergistic effect of these natural components makes them promising candidates for topical antimicrobial therapy, especially in acne management. Sujata Publication 2026-04-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/50 10.62896/ijmsi.2.1.13 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 96-102 3107-5754 eng https://ijmsi.in/index.php/files/article/view/50/37 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/51 2026-04-14T05:44:20Z files:ART

Application of Deep Learning and Machine Learning Algorithms in Predicting Drug Stability and Bioavailability Lubna Nousheen Mohammad Shamim Qureshi Sameera Fatima Deep learning; Machine learning; Drug stability; Bioavailability prediction; Molecular descriptors; Convolutional Neural Network; Gradient Boosting; SHAP; Pharmaceutical development; QSAR Predicting the shelf life and oral absorption of drug candidates during the early phases of pharmaceutical development remains a formidable challenge, frequently contributing to expensive late-stage failures. In this investigation, deep learning (DL) and machine learning (ML) techniques were employed to forecast two pivotal pharmaceutical parameters chemical stability and oral bioavailability using a carefully assembled dataset of 450 small-molecule compounds with experimentally validated profiles. Five distinct computational architectures were constructed and systematically benchmarked: Random Forest (RF), Support Vector Machine (SVM), Gradient Boosting Machine (GBM), Artificial Neural Network (ANN), and Convolutional Neural Network (CNN). Molecular descriptors and extended-connectivity fingerprints served as input representations, and model performance was assessed through root mean square error (RMSE), coefficient of determination (R²), and mean absolute error (MAE). For bioavailability estimation, the CNN architecture produced the strongest predictive capability (R² = 0.91, RMSE = 8.34%), whereas the GBM model outperformed all others in stability forecasting (R² = 0.89, RMSE = 4.21 months). Interpretability analysis using SHapley Additive exPlanations (SHAP) identified lipophilicity, molecular weight, hydrogen bond donor count, and topological polar surface area as the descriptors with the greatest influence on prediction outcomes. These results illustrate the capacity of DL and ML methodologies to meaningfully accelerate pharmaceutical screening by providing early-stage estimates of stability and bioavailability, thereby supporting more informed decision-making throughout the drug development pipeline. Sujata Publication 2026-04-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/51 10.62896/ijmsi.2.1.14 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 103-110 3107-5754 eng https://ijmsi.in/index.php/files/article/view/51/38 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/53 2026-04-14T05:44:27Z files:ART

Formulation and In-Vitro Evaluation of Celecoxib Sustained Release Tablets Using Hydrophilic and Hydrophobic Polymer Matrices Mehreen Saba Lubna Nousheen Mohammad Shamim Qureshi Carbopol 934P, Celecoxib, direct compression, HPMC K4M, HPMC K15M, in vitro dissolution, Korsmeyer-Peppas model, sustained release tablet Background: Celecoxib is a selective cyclooxygenase-2 (COX-2) inhibitor widely prescribed for management of osteoarthritis, rheumatoid arthritis, and acute pain. Its short biological half-life and poor aqueous solubility (BCS Class II) necessitate frequent dosing, which compromises patient compliance. Objective: This study aimed to formulate sustained-release (SR) tablets of celecoxib using hydrophilic (HPMC K4M, HPMC K15M, Carbopol 934P) and hydrophobic (ethyl cellulose) polymers by direct compression and evaluate them through comprehensive physicochemical and in vitro dissolution testing. Methods: Six formulations (F1–F6) were prepared at varying polymer concentrations. Pre- and post-compression parameters were assessed per Indian Pharmacopoeia (IP) and USP standards. Dissolution was studied in phosphate buffer pH 6.8 over 12 hours using USP Apparatus II. Release kinetics were modelled using zero-order, first-order, Higuchi,and Korsmeyer-Peppas models. Results: All formulations exhibited acceptable hardness (7.8–8.5 kg/cm²), friability (<1%), and drug content 97.6–99.1%). Formulation F6 (Carbopol 934P) demonstrated optimum cumulative drug release of 75.4% at 12 hours with best kinetic fit to the Korsmeyer-Peppas model (R² = 0.996, n = 0.728), indicating non-Fickian anomalous diffusion. Conclusion: Celecoxib SR tablets with satisfactory physicochemical characteristics and sustained drug release suitable for twice-daily dosing were successfully formulated using Carbopol 934P as the matrix polymer. Sujata Publication 2026-04-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/53 10.62896/ijmsi.2.1.15 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 111-120 3107-5754 eng https://ijmsi.in/index.php/files/article/view/53/39 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/54 2026-04-22T17:04:57Z files:ART

Transdermal Herbal Patch using Ocimum Gratissimum: A Review Tulsi Bisht Dipesh Sharma TDDS, Ocimum gratissimum, Herbal patch, Controlled release, matrix patch, Biocompatible polymers, Antifungal therapy, Patient compliance, Bypassing First-pass metabolism This research explores the development and evaluation of a herbal transdermal drug delivery system (TDDS) patch incorporating Ocimum gratissimum extract for antifungal therapy. Ocimum Gratissimum, rich in bioactive compounds such as eugenol and flavonoids, is extracted and uniformly blended into a biocompatible polymer matrix to create a medicated adhesive patch. This matrix-type. TDDS ensures the controlled, sustained release of antifungal phytochemicals through the skin, achieving therapeutic levels at the site of infection while bypassing gastrointestinal metabolism. The advantages of this approach include improved patient compliance, reduced systemic side effects, and steady plasma drug levels, making it particularly valuable for chronic or recurrent skin infections. Ultimately, this study demonstrates the potential of Ocimum gratissimum-loaded herbal patches as a safe, natural, and effective alternative in antifungal transdermal therapy, aligned with modern controlled drug delivery principles and patientcentered care. Sujata Publication 2026-04-20 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/54 10.62896/ijmsi.2.1.16 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 121-130 3107-5754 eng https://ijmsi.in/index.php/files/article/view/54/40 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/56 2026-04-25T10:26:11Z files:ART

Review Article on Investigating the use of Medicinal Plants in Protecting Against Neurodegenerative Disease and Mental Disorder Ananya Anand Priya Kumari Seema Yadav Shefali Singh Anjali Sharma Bhavya Kumari Ayushi Maloo Sarila Khan Alzheimer's disease, neurodegenerative, curcuma longa, neuronal Neurodegeneration, the word describing the condition of neuronal death brought on by a chronic, degenerative disease, is one of the most significant health concerns of the twenty-first century. Parkinson's, Alzheimer's, epilepsy, and other neurodegenerative illnesses (NDs) and Huntington's, which affect millions of people globally, represent a serious danger to global health. The potential therapeutic effects of traditional herbal therapy in controlling and preventing certain disorders have drawn attention. Six herbal plants, including Curcuma longa (turmeric), Lavandula angustifolia (lavender), Rosmarinus officinalis (rosemary), Cardiospermum halicacabum (balloon vine), Careya arborea (wild guava), and Withania somnifera (ashwagandha), are highlighted in this review for their neuroprotective qualities. These plants have antiinflammatory, anti-apoptotic, and antioxidant properties that prevent neurodegeneration and increase neuronal survival. Their bioactive substances, including linalool, curcumin, and Withanolides show promise in reducing oxidative stress, neuroinflammation, and cognitive loss. An overview of various well-known neuroprotective plants and their therapeutic applications in the treatment of NDs is given in this review, which also highlights the pharmacological characteristics, modes of action, and current knowledge of their effectiveness. Sujata Publication 2026-04-24 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/56 10.62896/ijmsi.2.1.17 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 131-136 3107-5754 eng https://ijmsi.in/index.php/files/article/view/56/41 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/58 2026-04-24T07:16:19Z files:ART

AI Code Reviewer: Real-Time Code Analysis with GitHub Integration Mohd Danish Mohmmad Kashif Al Zaid Saman Khan AI code review, real-time analysis, GitHub integration, MCP server, Cerebras, Groq , dual model architecture, automated programming. This paper presents an AI Code Reviewer system designed to enhance software development workflows through real-time code analysis and automated GitHub integration. The system provides an interactive coding environment where developers receive immediate AI-powered feedback on syntax errors, security vulnerabilities, and optimisation opportunities. As users write code, artificial intelligence continuously reviews the content, offering suggestions to improve code quality and adherence to best practices. The system in- corporates an MCP (Model Context Protocol) server that enables natural language interaction, allowing developers to query the AI model for specific improvements. Our implementation utilises a dual-model architecture combining the Cerebras and Groq models to enhance response accuracy through iterative refinement. Upon completion, the AI agent automatically pushes reviewed code to GitHub repositories using secure access tokens. This end-to-end automation bridges the gap between code development and version control, reducing manual steps and deployment errors. Experimental evaluation demonstrates significant improvements in code quality and development efficiency compared to traditional review methods. Sujata Publication 2026-04-24 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/58 10.62896/ijmsi.2.1.18 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 137-144 3107-5754 eng https://ijmsi.in/index.php/files/article/view/58/42 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/59 2026-04-29T11:20:44Z files:ART

Review Article on in-vitro Assessment of Antidiabetic Potential of Selected Medicinal Plants with an Antioxidant Correction Anjali Sharma Seema Yadav Shefali Singh Priya Kumari Ananya Anand Bhavya Kumari Ayushi Maloo Sarila Khan Diabetes Mellitus , Moringa oliefera, Fenugreek, Insulin Diabetes mellitus is a chronic metabolic disorder characterized by persistent hyperglycaemia resulting from defects in insulin secretion, insulin action, or both. The prevalence of diabetes is increasing globally, leading to serious long-term complications such as cardiovascular diseases, neuropathy, nephropathy, and retinopathy. Although conventional antidiabetic drugs are effective, they are frequently associated with adverse effects such as hypoglycaemia, gastrointestinal disturbances, weight gain, and organ toxicity. Therefore, medicinal plants are increasingly investigated as complementary or alternative therapeutic agents due to their affordability and multi-target mechanisms. This review focuses on the in vitro assessment of antidiabetic potential of selected medicinal plants through enzyme inhibition assays such as α-amylase and α-glucosidase inhibition, antiglycation studies, glucose uptake assays, aldose reductase inhibition, and antioxidant screening [6–8]. The role of oxidative stress in diabetes progression is discussed, along with the significance of antioxidant correction using plant-derived phytochemicals. Plants including Momordica charantia, Gymnema sylvestre, Trigonella foenum-graecum, Azadirachta indica, Ocimum sanctum, Syzygium cumini, Curcuma longa, Cinnamomum verum, Allium sativum, and Aloe vera are reviewed for their phytochemical constituents and mechanisms of action. Sujata Publication 2026-04-29 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/59 10.62896/ijmsi.2.1.19 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 145-150 3107-5754 eng https://ijmsi.in/index.php/files/article/view/59/43 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/60 2026-05-02T05:55:25Z files:ART

Synthetic Corrosion Inhibitors for Mild Steel in Hydrochloric Acid Medium: A Comprehensive Review of Advances Arjun G. Kalkhambkar Avadhut P. Manage Sandeep M. Deshpande corrosion inhibitors, mild steel, hydrochloric acid, Schiff bases, Langmuir adsorption, electrochemical impedance. Mild steel undergoes aggressive dissolution when exposed to hydrochloric acid solutions, a problem of enormous practical consequence in industrial operations ranging from acid descaling and pickling to oil-well stimulation. Over the fifteen-year span from 2010 to 2025, a remarkable body of experimental and computational work has accumulated on the development, characterization, and mechanistic understanding of synthetic organic corrosion inhibitors for this metal-medium combination. The present review examines that body of work, organized around the principal experimental and theoretical tools employed by researchers. Beginning with the effect of inhibitor concentration on protection efficiency, the discussion proceeds through the thermodynamic activation parameters derived from temperature-dependent gravimetric studies, the adsorption isotherms and associated free-energy parameters that characterize inhibitor-surface binding, and the electrochemical methods—Tafel polarization and electrochemical impedance spectroscopy— that reveal the mode and kinetics of inhibitor action at the electrode-electrolyte interface. Density functional theory calculations and their principal descriptors, including frontier orbital energies, energy gap, electron-transfer fraction, and Fukui functions, are reviewed in the context of structure-property correlations. Surface characterization data from scanning electron microscopy, atomic force microscopy, FT-IR spectroscopy, contact angle measurements, and UV-visible spectrophotometry are assessed as independent confirmation of film formation. Throughout, special attention is given to the contributions of Kalkhambkar and Rajappa from D.M.S. Mandal's Bhaurao Kakatkar College, Belgaum, whose multi-technique investigations of quinazoline Schiff bases and amino acidderived compounds in hydrochloric acid medium constitute notable contributions to the field. Four consolidated data tables covering 28 inhibitor systems are provided, enabling direct comparison of inhibition efficiencies, activation parameters, DFT descriptors, and adsorption thermodynamics across structurally diverse compound classes. Sujata Publication 2026-05-02 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/60 10.62896/ijmsi.2.1.20 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 151-169 3107-5754 eng https://ijmsi.in/index.php/files/article/view/60/44 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/61 2026-05-08T08:02:52Z files:ART

Neurobiological Correlates of Schizophrenia and Implications for Psychotherapy Raja Roy Choudhury Isha Joshi Mayur Phatak Schizophrenia, Neurobiology, Dopaminergic Dysregulation, Cognitive Remediation, Neuroplasticity, Psychotherapy Integration, Brain Connectivity, Synaptic Pruning The nature of schizophrenia makes it a complex mental disorder that is associated with severe problems in perception, emotion, behaviour and cognition. The neurological causes of this disorder were clarified with the help of recent decades in terms of molecular genetics, neurochemistry, neuroimaging. In conjunction with impairments in the functionality of corporal connections within the fronto-temporal and fronto-limbic loops, structural changes in the brain, such as the depletion of gray mass in the prefrontal premises and hippocampus, are often found. Neurochemical researches point to the problem that positive and negative symptomatology are both caused by the malfunction of the dopaminergic, glutamatergic, and GABAergic systems. Moreover, recent evidence also highlights the importance of oxidative stress and neuroinflammation as well as abnormal synaptic pruning in neurodevelopment as pathological processes. These discoveries will have an enormous effect on psychotherapy, which gradually incorporates neurobiological theories to achieve more accurate treatment. Cognitive remediation therapy, metacognitive training, and neurofeedback are some of the treatments used to improve functional recovery based on brain plasticity and cognitive deficits knowledge. Given the way neurobiology and psychosocial determinants interact, customized treatment preconditioned by the neurophysiological and experience aspects of the schizophrenic condition can be developed. Such a combined approach to the issue supports a better long-term recovery and the creation of a universal treatment plan as it relates clinical practice to the brain research. Sujata Publication 2026-05-06 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/61 10.62896/ijmsi.2.1.21 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 170-195 3107-5754 eng https://ijmsi.in/index.php/files/article/view/61/45 https://creativecommons.org/licenses/by/4.0

oai:ojs2.ijmsi.in:article/62 2026-05-13T09:32:16Z files:ART

Synthesis and Pharmacological Activities of Schiff Base Derivatives: An Overview Bhawana Belwal Praveen Kumar Schiff bases, azomethines, medicinal chemistry, antimicrobial activity, anticancer activity, metal complexes, pharmacological activity, synthesis, hydrazones. Schiff bases are an important class of organic compounds characterized by the presence of an azomethine group (–C=N–), generally synthesized by condensation reactions between primary amines and aldehydes or ketones. Due to their structural diversity, ease of synthesis, and remarkable pharmacological properties, Schiff base derivatives have emerged as promising candidates in medicinal chemistry and pharmaceutical research. The present review highlights recent advances in the synthesis, physicochemical characteristics, metal complex formation, and pharmacological activities of Schiff base derivatives. Various synthetic approaches including conventional heating, microwave-assisted synthesis, solvent-free synthesis, and green chemistry methods have been discussed. Schiff bases and their metal complexes exhibit broad-spectrum biological activities such as antimicrobial, antifungal, antiviral, anti-inflammatory, antioxidant, anticonvulsant, antitubercular, antidepressant, antidiabetic, antihypertensive, and anticancer activities. Their ability to chelate transition metal ions significantly enhances their biological potential and therapeutic applications. The review also focuses on structure–activity relationship studies, mechanisms of action, analytical characterization techniques, and future perspectives for the development of novel Schiff base derivatives as therapeutic agents. Owing to their excellent pharmacological profile and synthetic versatility, Schiff bases continue to attract substantial attention in modern drug discovery and development research. Sujata Publication 2026-05-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://ijmsi.in/index.php/files/article/view/62 10.62896/ijmsi.2.1.22 International Journal of Multidisciplinary Science and Innovation; IJMSI: Volume 2 , Issue 1, January-June 2026; 196-202 3107-5754 eng https://ijmsi.in/index.php/files/article/view/62/46 https://creativecommons.org/licenses/by/4.0