超高效液相色谱-四级杆飞行时间质谱结合Progenesis QI鉴别葛根粉掺假

Identification of Pueraria Powder adulteration Based on Ultra Performance Liquid Chromatography Coupled with Quadrupole Time-of-Flight Mass Spectrometry and Progenesis QI

摘要:

本研究基于超高效液相色谱-四极杆飞行时间质谱联用技术(UPLC-Q-TOF),构建了葛根粉及其常见掺假物(木薯淀粉、玉米淀粉)的高分辨质谱数据库,并建立基于特征成分的掺假鉴别方法。样品经甲醇-水(7:3, v/v)超声提取后,采用BEH C18色谱柱(2.1 mm×100 mm, 1.7 μm)分离,通过电喷雾电离(ESI)源在正离子模式下采集质谱数据。根据Progenesis QI软件对质谱数据进行多维度分析(主成分分析、火山图差异分析、偏最小二乘判别分析及变化趋势图分析),筛选出葛根粉与掺假物间的差异代谢物。结合精准分子量、同位素分布及碎片离子信息,并匹配在线数据库与文献数据,最终鉴定出10个特征差异化合物。主成分分析显示葛根粉与两种掺假物呈现显著分离,表明其化学成分具有明显差异。本研究建立的鉴别方法具有高通量、高准确度特点,操作流程简便快捷,方法稳定性良好,为葛根粉中木薯/玉米淀粉掺假的快速检测提供了可靠的技术方案,对规范市场秩序具有重要应用价值。

Abstract:

To establish a high-resolution mass spectrometry database for Pueraria powder and its common adulterants (cassava starch and corn starch) by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF), and establish an adulteration identification method based on characteristic components. Samples were extracted by methanol-water (7:3, V:V) ultrasonic wave, separated by BEH C18 column (2.1 mm×100 mm, 1.7 μm), the mass spectrometry data were collected in positive ion mode through an electrospray ionization (ESI) source. To screen differential metabolites between Pueraria powder and adulterants, the UPLC-Q-Tof data were analyzed by multidimensional analysis (principal component analysis, volcano plot differential analysis, partial least squares-discriminant analysis, and trend analysis) with Progenesis QI omics software. According to the precise molecular weight, isotopic distribution, fragment ion information, the online databases and literature data were matched, 10 characteristic differential compounds were identified. Principal component analysis showed that Pueraria powder was obviously separated from the two adulterants,which indicated that the composition of the compounds was significantly different. The established identification method demonstrates high-throughput and high-accuracy characteristics, with simplified operational procedures and good method stability. This approach provides a reliable technical solution for rapid detection of cassava/corn starch adulteration in Pueraria powder, offering significant application value for regulating market standards.