Posted by admin on Apr 30, 2025 in |
The use of biosensors and devices as instruments for health, education, and prevention has garnered a lot of attention in recent years. Personalized therapy depends on accurate and timely monitoring of biological markers and drug effectiveness, which is made feasible by biosensing devices in medications. The creation of the first real biosensor for oxygen sensing touches on the idea of biosensors. The “Web of Science” database had over 84,000 articles regarding “biosensors” between 2005 and 2015. Today, the field of research connects the foundations of electronics, micro/nanotechnology, applied medicine, and the basic sciences (physics, chemistry, and biology). The three primary components of a biosensor a bioreceptor, a transducer, and a signal processing system as well as the principles behind the various biosensor types are the main topics of the review. Additionally, the paper outlines several instances of biosensors being utilized to treat a range of illnesses, including infectious infections, diabetes mellitus, cardiovascular disease, and Alzheimer’s disease. Biosensors have several uses, many of which are intended to improve people’s quality...
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Posted by admin on Apr 30, 2025 in |
Medicinal plants play pivotal roles in novel drug discovery or combinatorial drug surveillance against emerging infectious diseases. This study aims to explore and compare the bactericidal and antibiotic modulating activities of stem barks of Gmelina arborea Roxb. and Oroxylum indicum (L.) Kurz against two pathogenic bacterial strains, i.e., Escherichia coli and Staphylococcus aureus. Methanolic stem bark extracts of G. arborea and O. indicum were subjected to phytochemical analysis, DPPH antioxidant assay, and varieties of antibacterial assays (disc diffusion, agar well diffusion, modified agar well diffusion, and bacterial cell viability), and the results were compared. Phytochemical analysis revealed that both plants had major bioactive compounds like alkaloids, terpenoids, phenol & tannins, steroids, glycosides, etc. G. arborea had a total phenol content (TPC) of 27.33±8.60 mg/g of Gallic Acid Equivalent (GAE) and a total flavonoid content (TFC) of 72.33±4.90mg/g of Rutin Equivalent (RE). At the same time, O. Indicum was calculated to have a TPC of 48.58±1.80 mg/g of GAE and TFC of 269±0.88mg/g of RE. Though both stem barks exhibited...
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Posted by admin on Apr 30, 2025 in |
Water is an essential ingredient for all living things to exist on earth. Ancient Siddha texts suggest that soaking some therapeutic plants may purify water. The current study aims to assess the water quality after being soaked with Terminalia chebula (Kadukkai) and Terminalia bellerica (Thantrikkai). Three distinct pots containing two liters of drinking water each were taken from Chembaramapakkam Lake and designated as samples A, B, and C. As a control group, Sample A was left behind. In the same setting, 50g of Terminalia chebula is soaked for 6 hours in the sample B container, and 50g of Terminalia bellerica is soaked for 6 hours in the sample C container. All filtered samples were then subjected to elemental analysis, microbiological testing, and physical inspection as per the drinking water standard methodology. The water treated with Terminalia chebula and Terminalia bellerica had improved color, odor, pH, hardness, alkalinity, and conductivity within allowable bounds. Elemental analysis showed elevated calcium levels, NO2 below the detection limit, and Cl, SO4, and Fe within...
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Posted by admin on Apr 30, 2025 in |
Artificial intelligence (AI) is rapidly transforming the drug development process, offering innovative solutions to streamline and accelerate the discovery of new therapeutics. Traditionally, drug development has been a time-consuming and costly endeavor, often taking over a decade and billions of dollars to bring a drug to market. AI, with its ability to analyze vast amounts of complex data, has the potential to significantly reduce both time and costs while improving the success rate of new drugs. AI techniques, including machine learning (ML), deep learning (DL), and natural language processing (NLP), are being integrated at various stages of the drug development pipeline. In the early stages, AI is used to analyze large datasets, such as chemical, genomic, and proteomic data, to identify potential therapeutic targets and biomarkers. Machine learning algorithms can also predict a compound’s biological activity, optimizing lead compounds and enhancing virtual screening compared to traditional methods. Advanced AI methods, such as generative models and reinforcement learning, are being applied to design new molecules with desired properties, improving drug...
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Posted by admin on Apr 30, 2025 in |
The research rigorously investigates the bioactive potential of Cynodon dactylon, specifically focusing on its antipyretic properties attributed to quercetin, a flavonoid compound. Cynodon dactylon, a perennial grass, has been traditionally used in various medicinal practices, prompting scientific inquiry into its pharmacological benefits. The study involved meticulous extraction and isolation of quercetin from Cynodon dactylon using advanced solvent extraction and chromatographic techniques. The purity and structure of the isolated compound were unequivocally confirmed through rigorous spectroscopic methods, including UV and NMR analyses, ensuring the absolute reliability of the isolated quercetin for subsequent pharmacological evaluations. An in vivo experimental model using pyrexia-induced rodents was employed to robustly assess the antipyretic activity of Cynodon dactylon extract and isolated quercetin, comparing their efficacy with standard antipyretic drugs. The results unequivocally indicated a significant reduction in elevated body temperature in the treated groups, conclusively demonstrating the remarkable effectiveness of Cynodon dactylon and its quercetin component in reducing fever. The study concludes that quercetin isolated from Cynodon dactylon exhibits notable antipyretic activity, unequivocally validating its...
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