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Research and Publications
My research interests lie at the intersection of chemical engineering, environmental science, and nanotechnology. I started out by initiating a project to recycle plastic into bitumen through thermo-catalytic depolymerization, highlighting the potential of waste conversion.
Growing from there, my interests grew and currently lie in nanotechnology and computation. I novelly synthesized zinc oxide nanoparticles and explored their antibacterial properties. I have also explored chitosan nanoparticles in drug delivery systems. Additionally, I authored papers on machine learning applications in protein engineering, addressing both optimization techniques and ethical considerations.
My analytical chemistry experience includes utilizing High Performance Liquid Chromatography, Gas Chromatography, X-Ray crystallography, Polarimeter, UV-vis Spectrophotometer, Agar Diffusion, and Transition & Field Emission Scanning Electron Microscopes in industrial and research settings. Beyond this I also got proficient in Vernier Spectral Analysis, Vernier Instrumental Analysis and Vernier Graphical Analysis.
Overall, I aspire to leverage my chemistry expertise to develop innovative, sustainable solutions in pharmaceuticals and healthcare, and actively collaborate with my peers from around the world.
Additionally, I am an active contributor, previously ranked #1 in the world out of 110,000+ active users, on Chemistry Stack Exchange. My work on the site has impacted over 21000 academics, researchers, and students. I also received a gold 'Fanatic' badge (received by only 188 users out of 110,000+) for logging in and contributing for over 100 consecutive days.
Find me on Google Scholar and ORCID
Published Papers:
1. 'The green synthesis of Zinc Oxide nanoparticles utilizing Camellia Sinensis var. Assamica found in commercial tea dust, and their broad spectrum antibacterial activity.’
The antibacterial activity of biosynthesized Zinc Oxide (ZnO) nanofluid was tested against three gram-positive (Enterococcus faecalis, Methicillin-resistant Staphylococcus aureus, Staphylococcus saprophyticus) and two gram-negative bacteria (Escherichia coli, Pseudomonas aeruginosa). Using tea extract from Lipton® black tea and distilled water, ZnO nanoparticles were synthesized with zinc acetate and sodium hydroxide as precursors. The particles, sized 40-60 nm, some as small as 18 nm, were characterized by EDX, TEM, and UV-VIS spectroscopy. Although slightly less effective than Ciprofloxacin, Meropenem, and Vancomycin, the ZnO nanofluid showed significant antibacterial activity.
Also available/accepted on the following:
2. 'Chitosan Nanoparticles in Oral Drug Delivery: A Comprehensive and Equivocal Review.’
Oral medications are popular due to their convenience and cost-effectiveness, but issues like poor solubility and gastrointestinal degradation limit their effectiveness. Nanotechnology advancements, particularly Chitosan Nanoparticles (CSNPs), offer solutions for improving drug delivery. CSNPs, derived from biodegradable chitosan, are synthesized using methods like emulsion cross-linking, ionic gelation, and biosynthesis, with novel approaches such as magnetic core incorporation. These methods enhance particle stability, solubility, and targeted delivery, though challenges like aggregation remain. CSNPs hold promise for improving oral drug delivery and advancing healthcare solutions.
Also available/accepted on the following:
3. 'Expanding Role of AI in Healthcare and Protein Engineering.’
The primary objective of this study was to analyse the current influence of Artificial Intelligence (AI) in the healthcare and protein engineering industry and to project its potential future implications. To accomplish this, the project delved into the expanding role of AI, examining its economic and ethical dimensions. The specific focus was on drug design and protein engineering, evaluating the benefits and areas of concern within these domains.
Also available/accepted on the following:
4. ‘The Socio-Ethical Dynamics of Artificial Intelligence in Healthcare.’
The study explores how advanced AI, including quantum AI, is revolutionising healthcare, yet raises concerns about data privacy and potential military applications. It stresses the importance of regulations, ethics, and global cooperation to guide responsible AI development, citing the European Union’s AI Act as a model. Advocating for a values-driven approach, the article aims to foster ethical AI advancements in healthcare.
Also available/accepted on the following:
5. Rotavirus multi-epitope vaccine: An in-silico pursuit
My research focused on developing an in-silico designed multi-epitope vaccine for rotavirus detection and vaccination. The study proposes using bioinformatics tools to select B-cell and T-cell epitopes from VP4 and VP7 rotavirus proteins. These epitopes are then linked with suitable linkers and adjuvants to enhance immune response. Protein modelling and structural analysis ensure vaccine stability and efficacy, while in-silico optimization improves effectiveness and safety. This approach aims to create a broadly protective rotavirus vaccine, minimising initial laboratory experimentation in the design phase.
6. Internship Research at Sudarshan Chemicals, Pune
I collaborated on developing formulations for Red 48:2 pigment, enhancing its product range and quality. I used HPLC to analyse blue pigment batches at Sudarshan Chemicals, ensuring consistency by measuring the different sulfonated derivatives of Cu-Phthalocyanine (CuPc) and also worked on another report detecting banned aromatic amine compounds in Pigment Red 146. Additionally, I employed Gas Chromatography to assess the composition of various chemical mixtures, including Dimethyl Succinate and Toluene, by determining the percentages of key components and residual solvents, which was essential for industrial reports. I also supported senior technicians in ink testing laboratory operations by conducting panelling and opacity testing using drawdown paper, and learned testing methodologies and quality control processes.
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