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化品中被禁止的染料的表征:一种基于质量的分子网络的协同方法

In Suk Woo¹, You Kyung Kim¹, Hyung Il Kim¹

¹Center for Advanced Analysis, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Osong Health Technology Administration Complex, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.

Journal of chromatography. A

|April 25, 2024

概括

这项研究引入了一种新方法,结合液态染色学-质谱学 (LC-MS/MS) 和分子网络来检测被禁止的化品染料. 这种方法增强了化品中潜在有害物质的同时识别和选.

科学领域:

分析化学分析化学
化品科学化品科学
法医化学法医化学

背景情况:

化品中被禁止的染料对健康构成风险,需要可靠的检测方法.
使用传统的LC-MS/MS同时检测多种被禁止的色素,会带来重大的分析挑战.
分子网络提供了一种有前途的方法来分析复杂的混合物,并根据MS/MS光谱数据推断结构关系.

研究的目的:

开发和验证使用LC-MS/MS的26种禁止的化品染料的同时定量分析方法.
提出和评估一种结合LC-Q-TOF-MS和分子网络的新方法,用于检测化品中禁止的染料.
建立一个强大的选方法,用于表征化品中禁止的染料.

主要方法:

通过LC-MS/MS开发26种禁止色素的同时定量方法.
应用分子网络使用LC-Q-TOF-MS数据来分析光谱相似性和预测结构.
通过分析具有结构相似的禁止染料的刺化品样本 (眉毛纹身,口红纹身,头发染色) 来验证该方法.

主要成果:

建立了一种经过验证的LC-MS/MS方法,用于同时量化26种被禁止的色素.
基于LC-TOF-MS数据,成功地应用了分子网络来表征禁止色素.
综合方法在对真实化品基质中选非向的,结构相似的禁止色素的证明有效性.

结论:

分子网络与LC-MS/MS的整合提供了一个强大的工具,用于快速表征和选化品中被禁止的染料.
这种新的方法解决了同时检测和识别多种禁止物质的挑战.
开发的方法为确保化品产品的安全性和合规性提供了显著的优势.

关键词:

禁止使用的染料.化品化品化品液体染色学串联质谱学质谱学分子网络是分子网络.定量分析是一种量化分析.

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