![]() |
METHODS AND OBJECTS OF CHEMICAL ANALYSIS
An international journal devoted to all aspects of analytical chemistry ISSN 2413-6166 (Online), ISSN 1991-0290 (Print) |
![]() |
| Ukr | En | ||
|
|
||
|
Optimization of Conditions for GC-HS Determination of 1,4-Dioxane in Children's Cosmetic Products |
|
|
† Bohomolets National Medical University, Taras Shevchenko blvd. 13, 01601 Kyiv, Ukraine; * Corresponding authors *e-mail: syrotchuk@gmail.com |
||
|
Methods Objects Chem. Anal., 2024, 19(4), p. 187-193 |
||
|
Buy Article: 5 EUR plus tax |
||
Abstract
This article explores the influence of various factors on the intensity of the chromatographic peak of 1,4-dioxane using gas chromatography with headspace analysis (GC-HS). The effects of adding water and sodium chloride to shampoo samples and the impact of headspace vial filling on peak height were examined. Experimental results showed that reducing the volume of vial filling significantly enhances the dioxane signal. Adding water to shampoo samples decreases the peak height while adding sodium chloride increases both peak height and area. Furthermore, increasing the amount of shampoo in the vial was observed to have minimal impact on peak height. A methodology for determining 1,4-dioxane in shampoo samples was validated, including checks for specificity, linearity, accuracy, and method convergence. The calculated data demonstrate that the methodology meets the requirements for precision and accuracy, with an analysis uncertainty of 8.9% and an average deviation of 3.7%, respectively. This confirms the reliability and accuracy of the method for determining dioxane in shampoo samples. The findings of this study are important for the quality control of 1,4-dioxane in cosmetic products. The data can also improve shampoo manufacturing processes and enhance product quality control.
Keywords: 1,4-dioxane, shampoo, gas chromatography, headspace attachment
Article language: Ukr.
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

