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METHODS AND OBJECTS OF CHEMICAL ANALYSIS
An international journal devoted to all aspects of analytical chemistry ISSN 2413-6166 (Online), ISSN 1991-0290 (Print) |
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Development and Validation of a Novel HPLC-UV Method for the Quantification of Hyaluronic Acid in Anti-Aging Creams |
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* Corresponding authors Department of Pharmacognosy, Faculty of Pharmacy, Harran University, 63300, Haliliye-Sanlıurfa, Turkey |
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Methods Objects Chem. Anal., 2025, 20(1), p. 72-76 https://doi.org/10.17721/moca.2025.72-76 The article is distributed under open access Creative Commons Attribution License CC BY 4.0. |
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Abstract
This study introduces a novel, rapid, and cost-effective high-performance liquid chromatography (HPLC-UV) method for the direct quantification of HA in anti-aging creams without requiring derivatization. Chromatographic separation was performed on a reversed-phase C18 (5 μm × 4.6 mm × 150 mm) column, using an acetonitrile-acetate buffer (80:20, v/v) mobile phase at 0.9 mL/min flow rate. UV detection at 230 nm provided high selectivity. The method demonstrated excellent linearity (R² = 0.9997) across 0.1–30 μg/mL, with limits of detection (LOD) and quantification (LOQ) of 0.03 and 0.1 μg/mL, respectively. Validation was conducted per ICH guidelines, confirming high accuracy, precision (RSD < 1.88%), robustness, and repeatability, with minimal matrix interference. Compared to existing HA quantification methods, this optimized HPLC-UV technique offers superior sensitivity, speed, and simplicity, making it an ideal tool for routine analysis in cosmetic formulations.
Keywords: hyaluronic acid, anti-aging creams, HPLC-UV, method validation, cosmetic analysis
Article language: En
Publisher: Taras Shevchenko National University, Kiev Ukraine
(Analytical chemistry department at Taras Shevchenko
National University, 64 Vladimirskaya STR., Kiev, 01601 UKRAINE)
analysis@univ.kiev.ua,
www.univ.kiev.ua,
+380 (44) 2393444
The journal is indexed in SCOPUS and Web of Science
The journal website: www.moca.net.ua
The articles in this journal are licensed under
CC BY 4.0

