EFFICIENT SYNTHESIS OF LOSARTAN POTASSIUM: AN IMPROVED TWO-STEP METHOD.
Bio Inspired Supramolecular Chemistry Insights from Quantum Chemical Bonding Analyses
Exploring the Stability and Synthetic Applications of Chiral Methylmetals in Asymmetric Organic Reactions
Optimisation of Microfabricated Devices for Neural Circuit Modelling
The Role of Educational Software in Chemistry Teaching a Case Study on Interactive Learning
Microwave Assisted Vacuum Drying of Thompson Seedless Grapes: Analysis of Characteristics And Kinetic Modelling
Adsorption and Characterization of Anisaldehyde as Corrosion Inhibitor for Aluminium Corrosion in Hydrochloric Acidic Environment
The Repercussion of Leachate from Industries on Water Quality in Jeedimetla Village and its Surroundings, Medchal-Malkajgiri District, Telangana
Yeast Recovery in Batch Ethanol Fermentation
Studies on Solubility Enhancement of Telmisartan by Adsorption Method
A Review on Cardiovascular Disease Treatment using Nano Drug Technology
Investigating the Effect of Autoclave Steam Sterilization on Anodized Implants for Color Fed Issue
Production of Modified Carboxymethyl Cellulose from Sawdust and Wheat Straw
Yeast Recovery in Batch Ethanol Fermentation
Modeling of Chromium (VI) Adsorption on Limonia Acidissima Hull Powder Using Artificial Neural Network (ANN) Approach
An efficient and high-yielding synthetic method for the preparation of Losartan Potassium via two steps is reported. The process Starts from Trityl Losartan and involves a successful reaction with potassium tertiary butoxide in tetrahydrofuran to afford Losartan Potassium, followed by a purification with isopropyl alcohol Give pure Losartan Potassium.
Bio-inspired supramolecular chemistry harnesses the principles of non-covalent interactions, particularly hydrogen bonding, to design novel molecular assemblies with enhanced structural and functional properties. This study employs quantum-chemical approaches based on Kohn-Sham density functional theory (KS-DFT) to elucidate the nature of hydrogen bonding in both biological and synthetic supramolecular systems. By analyzing hydrogen-bonded base pairs, DNA duplex stability, guanine-quadruplex structures, and hydrogen-bonded amides, we establish how electronic interactions govern molecular stability and reactivity. Our findings demonstrate that the charge transfer component of hydrogen bonding, rather than electrostatics alone, plays a critical role in dictating molecular behavior. The results provide theoretical insights for the rational design of novel materials, biomimetic structures, and potential applications in catalysis and molecular electronics.
Chiral methylmetals play a crucial role in modern synthetic chemistry, particularly in asymmetric synthesis. This paper explores the configurational stability of organolithium compounds and their applications in stereoselective reactions. We discuss the configurational retention of chiral methyllithium derivatives and their transformations via Stille coupling. Experimental observations highlight the stability of various chiral metal-methyl complexes under different reaction conditions. Comparisons with existing literature suggest that these complexes are potential candidates for selective organic transformations. The study contributes to the understanding of organolithium behavior and extends its applicability in industrial and pharmaceutical chemistry.
The increasing prevalence of neurodegenerative diseases such as Parkinson’s and Alzheimer’s necessitate more advanced neural circuit models for research and drug development. Traditional rodent models fail to replicate human brain complexity, leading to high late-stage clinical trial failure rates. This study presents the development and optimisation of a humanised microfluidic in vitro neuronal model using compartmentalised microfabricated devices to culture SH-SY5Y neurons. The differentiation protocol was refined to promote long, functional neurons suitable for forming unidirectional circuits. Electrophysiological assessment through calcium imaging and multi-electrode array (MEA) recordings confirmed neuronal activity. The successful integration of SH-SY5Y neurons into PDMS devices demonstrates the potential of this model for long-term studies of neural circuit behaviour. Further developments will enhance neuronal connectivity and disease modelling capabilities.
The integration of educational software in chemistry teaching has revolutionized learning by enhancing student engagement and conceptual understanding. This study examines the impact of interactive computational tools, such as Mathematica and other educational software, on chemistry education. A comparative analysis between traditional teaching methods and software-supported learning reveals significant improvements in student performance, engagement, and knowledge retention. The study highlights the potential of interactive tools in modernizing chemistry education and suggests strategies for effective implementation in academic settings.
