发现用于质量控制和识别毒的质标记物的发现,使用LC-MS/MS和无标签方法
Juan Chen1, Fei Xue2, Yingying Xie2
1Shandong Engineering Laboratory for Standard Innovation and Quality Evaluation of TCM, Shangdong Engineering Research Center for Generic Technologies of Traditional Chinese Medicine Formula Granules, NMPA Key Laboratory for Quality Evaluation of Gelatin Products, Shandong Institute for Food and Drug Control, Jinan 250101, China; College of Pharmacy, Shandong University Of Tradional Chinese Medicine, Jinan 250355, China.
概括
这项研究引入了一种新的基于的方法,使用纳米液体色谱-并联质谱测量来检测青毒中的杂物. 它建立了一个可靠的质量控制策略,用于验证传统中医药的真实性.
科学领域:
- 药理学 药理学是指药理学的学科.
- 分析化学 分析化学
- 传统中国医药 传统中国医药
背景情况:
- 青毒是一种具有治疗功能的传统中医药.
- 将毒与皮肤,肉或骨头混合,会损害它的质量和有效性.
- 现有的质量控制方法不足以同时检测这些杂质.
研究的目的:
- 开发一种全面的方法,用于同时识别和量化青毒中伪造物.
- 建立一个可靠的质量控制战略,用于真实的青毒.
- 确保基于毒的传统药物的质量和真实性.
主要方法:
- 使用了纳米液体染色学-并联质谱法 (纳米LC-MS/MS).
- 用多变量统计分析来解释数据.
- 使用生物信息学和HPLC-Triple Quadrupole MS.识别和验证了基于的标记物.
主要成果:
- 确定了27个质量标记物,这些标记物特定于毒,皮肤,肉和骨.
- 一种标记物NNAYDINEER被验证用于量化毒含量.
- 开发的方法表现出高的特异性,线性和灵敏度 (LOQ为1 ng/mL).
结论:
- 这项研究介绍了第一个基于的方法,用于同时检测青毒中的杂物.
- 这些发现为毒物提供了一种新可靠的质量控制策略.
- 这种方法支持来自毒的传统中医药的真实性和治疗效果.
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