Posted by admin on Mar 31, 2026 in |
The present study investigates the GC–MS profiling of stem, root, and in-vitro–derived callus cultures of Caralluma stalagmifera C.E.C. Fisch., an Apocynaceae succulent endemic to Southern India, commonly known as the “dark purple Caralluma,” and traditionally valued for its anti-obesity, antimicrobial, antidiabetic, antioxidant, and anti-inflammatory properties. The major bioactive constituents reported from the genus are pregnane glycosides and aglycone steroids. Methanolic extracts of stem and root from field-grown plants and in-vitro callus cultures were prepared and each extract was analysed using GC–MS to identify its phytochemical constituents. Compounds were identified based on retention times and mass spectral data, and comparative profiling was performed to assess variations in chemical composition among the stem, root and in-vitro callus culture extracts. The stem extract exhibited the highest phytochemical diversity with 27 compounds, including 10 major constituents. The root extract contained 17 compounds, of which 6 were major bioactive molecules. The callus extract comprised 20 compounds, including 10 major constituents, demonstrating its ability to synthesize diverse secondary metabolites under controlled in-vitro conditions. Overall, the...
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Posted by admin on Mar 31, 2026 in |
Objective: Curcuma longa and Boswellia serrata are traditional medicinal plants that have antiarthritic activity. The present research is intended to formulate a novel antiarthritic topical gel from the extract of Curcuma longa and Boswellia serrata which will increase patient compliance and stability as compared to the conventional dosage form. Material and Method: In this investigation, we created an antiarthritic herbal topical gel by combining carbopol 934 and other excipients with the methanolic extracts of Curcuma longa and Boswellia serrata in varying concentrations. For compatibility study, FTIR study would be done. Evaluation of antiarthritic gel performed by using different tests likes, pH, viscosity, spreadability, extrudability, stability, inhibition of albumin denaturation and in-vitro drug diffusion study. Result and Discussion: As a result, the formulation’s physiochemical characteristics, in-vitro antiarthritic efficacy, and stability analysis (stable even after 30 days) were assessed. Every herbal gel formulation with a pH of 5–7 had favorable outcomes for physiochemical measures. Out of all the formulations, batch no 2 exhibited superior release characteristics (79.8%) in comparison to the...
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Posted by admin on Mar 31, 2025 in |
Herbal medicines have gained recognition for their potential in treating various skin disorders, driven by both traditional practices and modern scientific research. The efficacy of these natural remedies can be attributed to their diverse chemical compositions, which often include bioactive compounds with antimicrobial, anti-inflammatory, and antioxidant properties. The skin is the body’s largest organ which serves essential functions which include protection, temperature regulation, and sensory perception. This systematic review evaluates the effectiveness of herbal medicinal plants and their formulations in treating various skin disorders, leveraging India’s rich botanical diversity. Herbal remedies have gained traction in modern healthcare due to their adaptability, reduced side effects, and efficacy in managing conditions such as acne, eczema, psoriasis, vitiligo, and skin infections (microbial, fungal, and bacterial). This review highlights the therapeutic potential of plant-based treatments and their benefits over conventional options. It underscores the role of traditional herbal medicine in providing viable, less invasive solutions for skin health, and supports its integration into contemporary treatment...
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Posted by admin on Mar 31, 2025 in |
Levocetirizine Dihydrochloride is an orally active, non-sedative antihistamine drug. To determine the assay content of Levocetirizine Dihydrochloride drug substance, a very simple, accurate, specific, and precise UV-Spectrophotometric method has been built up as well as evaluated. The suggested method comprises dissolving Levocetirizine Dihydrochloride in distilled water and subjecting the consequential solution to UV Spectroscopic measurement. An absorption maximum was found to lie at about 230 nm and the measurements were carried out at this wavelength. Beer’s law was followed in the concentration range of 4 to 32 μg/ml. The linearity showed on the calibration curve between concentration and absorbance by the line equation of y = 0.0304x + 0.0002 (R² = 0.9997). Reproducibility by repeating methods as %RSD was found to be less than 2%. The results of the accuracy and precision were found very satisfactory and here the suggested method was statistically validated as per the ICH guidelines in terms of specificity, linearity, accuracy, precision and robustness. Validation studies have discovered that the method is simple, specific, rapid,...
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Posted by admin on Mar 31, 2025 in |
The practice of Pharmacovigilance focuses on identifying, evaluating and preventing drug-related adverse events, also referred to as ADRs, which ensure the safety of pharmaceuticals. Regarding these changes in healthcare systems, it is becoming very important to implement new technologies, such as artificial intelligence, in pharmacovigilance operations that promise to enhance drug safety monitoring. Such AI devices as Natural Language Processing (NLP), Machine Learning (ML), Deep Learning and Big Data Analysis are changing the landscape of Primary Adverse Drug Reactions (ADRs): detection, analysis, and reporting. These technologies allow for faster processing, attention and early response to signals, and other problems that have always been creating barriers such as late signal detection, and low levels of reporting. This paper highlights the impact of AI in the process of modernizing the steps of pharmacovigilance, including data analysis and making predictions about involved cases. Also, we elaborate on the ways AI strengthens regulatory reporting, stakeholder engagement, and risk minimization through superior signal detection. However, employing AI for pharmacovigilance also creates some ethical and...
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