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Identification and Quantitative Estimation of Niacinamide and Neolone 950 in an Oil/Water Cream by HPTLC Method


K. Arpan Mahanty, Kabita Banik, Md Abdullah Al Maruf, Farhana Sultana Mitu, Nripendra Nath Bala, Bijan Kumar Gupta, Seemanchala Rath

Article (PDF)

Keywords

HPTLC, Niacinamide, Neolone 950, Precision, Statistical Parameters, Quantitative Estimation.

Abstract

Niacinamide, a derivative of niacin, also known as vitamin B3 (C6H6N2O) has ability to treat some skin conditions including aging. It is also beneficial for treating different inflammatory skin conditions such as psoriasis and rosacea. Neolone 950 is a broad spectrum bactericide, compatible with a variety of fungicides and bactericides. It is widely used as a preservative in different cosmetic preparations, and exhibits outstanding antimicrobial activity, inhibiting against a wide variety of Gram-positive and negative bacteria. The present study involves separation and quantitative estimation of Niacinamide and Neolone 950 by High performance thin layer chromatography using two different solvent systems, to illustrate, acetic acid: acetone: methanol: benzene (5:5:20:70) for Niacinamide and was chloroform: methanol (90:10) for Neolone 950. Retention factor for Niacinamide and Neolone were found to be 0.52 and 0.72 respectively. The chromatograms were analysed by scanning through densitometer for quantitative estimation of samples. Linearity of the analytical method was supported by R2 values greater than 0.9 in each case. Percentage recovery results were found to be more than 90 %, both according to area and height of the standard curves. Statistical parameters like root mean square error of prediction (RMSEP) and relative standard error of prediction (RSEP) were less than one, therefore, indicated good precision of the method.