Pandit, Bibhas
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INVESTIGATION OF OXIDATIVE POTENTIAL OF MAHASUDARSHAN CHURNA USING GOAT LIVER AS IN-VITRO EXPERIMENTAL MODEL Pandit, Bibhas; Satapathy, Trilochan; Bahadur, Sanjib; Dewangan, Jyoti
Journal of Applied Pharmaceutical Research Vol 7 No 2 (2019)
Publisher : Creative Pharma Assent

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18231/j.joapr.2019.002

Abstract

The American Medical Research Community sounded a heavy metal warning against some herbo-mineral Ayurvedic formulations from Indian System of Medicine sold in United States of America. The products were rejected by Unites States Food and Drug Administration due to the presence of high level of lead, mercury and arsenic as impurities, marked as toxicity inducers. This work has been design to investigate whether the toxicity produced by Mahasudarshan churna is due to the results of lipid peroxidation, as oxidative degradation of phospholipids is one of the causes of drug-induced toxicity. The level of malondialdehyde, reduced glutathione and nitric oxide were estimated in control, drug-treated, drug-antioxidant treated and only antioxidant-treated group at two hours and six hours of incubation time in goat liver homogenates. Ascorbic acid was used to compare the oxidative potentials of Mahasudarshan churna. The level of malondialdehyde was found to be decreased in the drug-treated, drug-antioxidant treated and only antioxidant treated group where as the level of reduced glutathione and nitric oxide increased when compared to control. Above all the Drug-antioxidant treated group showed maximum anti-oxidant properties when compared to other groups. The study was designed to investigate the lipid peroxidation induction capacity of Mahasudarshan churna as consequences of its toxicity and found that lipid peroxidation is not the contributing factor.
Investigation of oxidative potential of mahasudarshan churna using goat liver as in-vitro experimental model Pandit, Bibhas; Satapathy, Trilochan; Bahadur, Sanjib; Dewangan, Jyoti
Journal of Applied Pharmaceutical Research Vol. 7 No. 2 (2019)
Publisher : Creative Pharma Assent

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (312.452 KB) | DOI: 10.18231/j.joapr.2019.002

Abstract

The American Medical Research Community sounded a heavy metal warning against some herbo-mineral Ayurvedic formulations from Indian System of Medicine sold in United States of America. The products were rejected by Unites States Food and Drug Administration due to the presence of high level of lead, mercury and arsenic as impurities, marked as toxicity inducers. This work has been design to investigate whether the toxicity produced by Mahasudarshan churna is due to the results of lipid peroxidation, as oxidative degradation of phospholipids is one of the causes of drug-induced toxicity. The level of malondialdehyde, reduced glutathione and nitric oxide were estimated in control, drug-treated, drug-antioxidant treated and only antioxidant-treated group at two hours and six hours of incubation time in goat liver homogenates. Ascorbic acid was used to compare the oxidative potentials of Mahasudarshan churna. The level of malondialdehyde was found to be decreased in the drug-treated, drug-antioxidant treated and only antioxidant treated group where as the level of reduced glutathione and nitric oxide increased when compared to control. Above all the Drug-antioxidant treated group showed maximum anti-oxidant properties when compared to other groups. The study was designed to investigate the lipid peroxidation induction capacity of Mahasudarshan churna as consequences of its toxicity and found that lipid peroxidation is not the contributing factor
A comprehensive review on the applications of chemometrics in analytical chemistry Saha, Projesh; Pandit, Bibhas; Pramanik, Soma; Shrestha, Bhupendra
Journal of Applied Pharmaceutical Research Vol. 13 No. 3 (2025)
Publisher : Creative Pharma Assent

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69857/joapr.v13i3.861

Abstract

Background: This article presents a review of the various applications of chemometrics in analytical chemistry. Chemometrics is essential to analytical chemistry because it provides sophisticated methods for extracting, analyzing, and interpreting chemical data. To maximize analytical procedures, enhance data reliability, and extract insights, this field combines statistical and mathematical techniques with chemical research. Chemometrics provides analytical chemists with the means to manage the massive datasets generated by contemporary analytical methods, such as spectroscopy and chromatography. Methodology: This review combines data from previous research articles that have elaborated and described the various applications of chemometrics in the analytical chemistry sector. Results and Discussion: The combination of chemometrics with artificial intelligence and machine learning offers more advanced analytical and predictive modelling possibilities. It is anticipated that these developments will transform analytical chemistry by enhancing researchers' ability to manage complex datasets and gain deeper insights from their investigations. This is especially important in industries where precise data interpretation is critical, such as pharmaceuticals, ecological surveillance, and food safety. Conclusion: Chemometrics is essential to contemporary analytical chemistry because it provides methods and instruments that enhance quality control, facilitate innovative research advancements, and improve data analysis capabilities. The accuracy and efficacy of chemical analyses are expected to continue to improve as this sector develops.