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Stability Indicating Planar Chromatographic method for Estimation of Minoxidil and Finasteride Combination used in the treatment of Hair loss

Journal: Journal of Medicinal and Chemical Sciences (Vol.4, No. 1)

Publication Date:

Authors : ; ; ; ;

Page : 17-28

Keywords : Alopecia areata; Finasteride; HPTLC; Minoxidil; stability indicating method; Validation;

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Alopecia areata is a typical non-scarring alopecia that happens in 0.1-0.2% of everybody and records for 0.7-3% of all cases found in dermatology practice. A vital quantitative examination of Minoxidil and Finasteride was created in Bulk and pharmaceutical measurement structure with precise, and sensitive stability indicating high performance thin layer chromatographic (HPTLC) technique. The chromatographic improvement was done on the HPTLC plates precoated with silica gel 60 F254 utilizing a mobile phase of n-butanol: TEA (10:0.1v/v) as versatile stage. Detection was completed densitometrically at 223 nm. The Rf estimation of medication was seen as 0.22 ± 0.24 for Minoxidil and 0.63 ± 0.65 for Finasteride. The technique was approved according to the ICH rule concerning linearity, accuracy, precision and robustness. The calibration curve was seen as straight over a scope of 6000-24000 ng/band for Minoxidil and 200-800 ng/band for Finasteride with a regression coefficient of 0.9972 For Minoxidil and 0.998 for finasteride. The % recovery was found 98-101.92% for Minoxidil and 98.42-101.68% for Finasteride. Forced degradation studies like acid hydrolysis, base hydrolysis, oxidation, dry heat and photolytic degradation were performed. The degradation products obtained were well resolved from the pure drugs with significantly different Rf values. The proposed technique could viably isolate the medications from its degradation products just as from excipients. The proposed TLC technique has expected subjective just as quantitative applications for synchronous estimation of minoxidil and finasteride in bulk and pharmaceutical dosage form.

Last modified: 2020-12-31 22:02:29