Xiao-Nan Du
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Xiao-Nan Du has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Xianfu Wu
National Institutes for Food and Drug Control, Beijing 102629, China; State Key Laboratory of Drug Regulatory Science, Beijing 102629, China
2 shared publications - Yong Lu
National Institutes for Food and Drug Control, Beijing 102629, China
2 shared publications - Youwen Chen
National Institutes for Food and Drug Control, Beijing, China
2 shared publications - Huimin Sun
National Institutes for Food and Drug Control, Beijing 100050, China
1 shared publication - Huiying Yang
National Institutes for Food and Drug Control, Beijing 102629, China
1 shared publication - Lei Sun
National Institutes for Food and Drug Control/NMPA Key Laboratory for Research and Evaluation of Cosmetics, Beijing 100050, China
1 shared publication
Latest Publications
- 23 October 2024
- Published by Springer Nature in Phytochemistry Reviews
- Vol. 24 (4) , 2833-2868
Exploring AI-enhanced NMR dereplication analysis for complex mixtures and its potential use in adulterant detection
- 23 October 2024
- Published by Springer Nature in Phytochemistry Reviews
- Vol. 24 (4) , 2833-2868
Exploring AI-enhanced NMR dereplication analysis for complex mixtures and its potential use in adulterant detection
- Open Access
Decoding Cosmetic Complexities: A Comprehensive Guide to Matrix Composition and Pretreatment Technology
Despite advancements in analytical technologies, the complex nature of cosmetic matrices, coupled with the presence of diverse and trace unauthorized additives, hinders the application of these technologies in cosmetics analysis. This not only impedes effective regulation of cosmetics but also leads to the continual infiltration of illegal products into the market, posing serious health risks to consumers. The establishment of cosmetic regulations is often based on extensive scientific experiments, resulting in a certain degree of latency. Therefore, timely advancement in laboratory research is crucial to ensure the timely update and adaptability of regulations. A comprehensive understanding of the composition of cosmetic matrices and their pretreatment technologies is vital for enhancing the efficiency and accuracy of cosmetic detection. Drawing upon the China National Medical Products Administration’s 2021 Cosmetic Classification Rules and Classification Catalogue, we streamline the wide array of cosmetics into four principal categories based on the following compositions: emulsified, liquid, powdered, and wax-based cosmetics. In this review, the characteristics, compositional elements, and physicochemical properties inherent to each category, as well as an extensive overview of the evolution of pretreatment methods for different categories, will be explored. Our objective is to provide a clear and comprehensive guide, equipping researchers with profound insights into the core compositions and pretreatment methods of cosmetics, which will in turn advance cosmetic analysis and improve detection and regulatory approaches in the industry.
Open AccessDecoding Cosmetic Complexities: A Comprehensive Guide to Matrix Composition and Pretreatment Technology
Despite advancements in analytical technologies, the complex nature of cosmetic matrices, coupled with the presence of diverse and trace unauthorized additives, hinders the application of these technologies in cosmetics analysis. This not only impedes effective regulation of cosmetics but also leads to the continual infiltration of illegal products into the market, posing serious health risks to consumers. The establishment of cosmetic regulations is often based on extensive scientific experiments, resulting in a certain degree of latency. Therefore, timely advancement in laboratory research is crucial to ensure the timely update and adaptability of regulations. A comprehensive understanding of the composition of cosmetic matrices and their pretreatment technologies is vital for enhancing the efficiency and accuracy of cosmetic detection. Drawing upon the China National Medical Products Administration’s 2021 Cosmetic Classification Rules and Classification Catalogue, we streamline the wide array of cosmetics into four principal categories based on the following compositions: emulsified, liquid, powdered, and wax-based cosmetics. In this review, the characteristics, compositional elements, and physicochemical properties inherent to each category, as well as an extensive overview of the evolution of pretreatment methods for different categories, will be explored. Our objective is to provide a clear and comprehensive guide, equipping researchers with profound insights into the core compositions and pretreatment methods of cosmetics, which will in turn advance cosmetic analysis and improve detection and regulatory approaches in the industry.