分析测试学报2024，Vol.43Issue(7)：971-977,7.DOI:10.12452/j.fxcsxb.24032505
基于多谱学技术剖析"白转黑"发用产品功效成分
Analysis of the Functional Components in"White to Black"Hair Products Based on Multispectral Technology
摘要
Abstract
The combination of chromatography,mass spectrometry,spectroscopy,and energy spectrum analysis techniques is used to screen,identify,and confirm the potential functional compo-nents in the"white to black"hair products.High-performance liquid chromatography was used for targeted screening of common hair dyes using.Gas chromatography-mass spectrometry(GC-MS),and ultra-high performance liquid chromatography-high-resolution mass spectrometry(UHPLC-HRMS)were used to screen for potential hair dye and melanogenic components.Under optimized screening conditions,UHPLC-HRMS identified a significant decrease in m/z 147.930 9 after 72 hours of sample placement.Based on accurate mass number,isotope distribution,and retention time,it is inferred that the component is silver ions.The content of silver element and nitrate ion was determined by inductively coupled plasma mass spectrometry and ion chromatography,and its source was analyzed based on the properties of the raw materials.At the same time,the blackening compo-nent of the product was confirmed by low vacuum thermal field emission scanning electron microsco-py,and it was speculated that silver nitrate may be an important reason for the efficacy of the"white to black"product.The"white to black"hair products based on silver nitrate as the active ingredi-ent have significant compliance and safety risks,and there is an urgent need to strengthen supervi-sion of such products.The combination analysis model established in this article will provide techni-cal reference for further in-depth analysis of cosmetic safety risks.关键词
"白转黑"发用产品/多谱学技术/功效成分/安全风险Key words
"white to black"hair products/multispectral techniques/functional components/safety risk分类
化学化工引用本文复制引用
夏泽敏,梁文耀,黄敏涵,贾芳,陈彦君,孙剑,聂明霞,席绍峰,谭建华..基于多谱学技术剖析"白转黑"发用产品功效成分[J].分析测试学报,2024,43(7):971-977,7.基金项目
广东省市场监督管理局科技项目(2022CZ06) （2022CZ06）
广州市NQI-质量安全科技协同创新中心(2023B04J0407) （2023B04J0407）
