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An Investigative Review for Pharmaceutical Analysis of Fenofibrate.
Saha, Moumita; Dhiman, Shubham; Gupta, G D; Asati, Vivek.
  • Saha M; Department of Pharmaceutical Analysis, ISF College of Pharmacy, GT Road, Moga, 142001, Punjab, India.
  • Dhiman S; Department of Pharmaceutical Analysis, ISF College of Pharmacy, GT Road, Moga, 142001, Punjab, India.
  • Gupta GD; Department of Pharmaceutics, ISF College of Pharmacy, GT Road, Moga, 142001, Punjab, India.
  • Asati V; Department of Pharmaceutical Chemistry, ISF College of Pharmacy, GT Road, Moga, 142001, Punjab, India.
J Chromatogr Sci ; 2022 Sep 11.
Article in English | MEDLINE | ID: covidwho-20242287
ABSTRACT
HMG-CoA reductase inhibitors (statins), lipoprotein lipase activators (PPARα agonists) or fibrates are commonly used for controlling increased lipid levels in hyperlipidemia. Fenofibrate (FEN) belongs to the second generation prodrug fibric acid (isobutyric acid) derivative belonging to lipoprotein lipase activator class of drug. Results of clinical studies suggest that FEN can substantially reduce severe acute respiratory syndrome coronavirus 2. alpha and beta variant infection in human cell efficiently. This review article provides an in-depth examination of critical analytical methodologies used in the pharmaceutical analysis of FEN in pure forms, biological samples and pharmaceuticals. According to literature study reports several analytical techniques have been used for determination of FEN alone or in the combined dosage forms. Based on the literature, it was determined that high-performance liquid chromatography and UV/vis-spectrophotometry are the most widely used methods for FEN analysis. Sahoo et al. have developed the best HPLC method in bulk and pharmaceutical dosage form with the retention time of 19.268 min using phosphate buffer (pH 3.0) acetonitrile in the ratio of 3070 (% v/v) as mobile phase. The information presented here may provide a solid foundation for future research on FEN in the field of drug analysis.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Variants Language: English Year: 2022 Document Type: Article Affiliation country: Chromsci

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Variants Language: English Year: 2022 Document Type: Article Affiliation country: Chromsci