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UPLC-Q-TOF/MS characterization, HPLC fingerprint analysis and species differentiation for quality control of Nigella glandulifera Freyn et Sint seeds and Nigella sativa L. seeds

机译:UPLC-Q-TOF / MS表征,HPLC指纹图谱分析和物种区分,可用于控制黑夜蛾(Nigella glandulifera Freyn et Sint)种子和黑夜蛾(Nigella sativa L.)种子的质量

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Nigella glandulifera Freyn et Sint seeds (NG) as well as Nigella sativa L. seeds (NS) have been employed as folk remedies for centuries. However, little work has been done on their quality control. In order to assess the quality and guarantee therapeutic effects, the chemical constituents of the two herbs were extensively characterized by ultra-performance liquid chromatography coupled with electrospray time-of-flight mass spectrometry (UPLC-Q-TOF/MS), and a simple, practical, and reliable HPLC fingerprinting method was established and applied to determination of 20 batches of samples. With their chromatographic fingerprints, the two species were successfully differentiated by pattern recognition methods, namely, principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA). Results from this study show that the proposed analytical methods can be applied to the quality control of the seeds and have high potential to ensure their safety and efficacy.
机译:几个世纪以来,黑麦草Negella glandulifera Freyn et Sint种子(NG)和黑麦草Nigella sativa L.种子(NS)被用作民间疗法。但是,他们的质量控制工作还很少。为了评估质量并保证治疗效果,通过超高效液相色谱结合电喷雾飞行时间质谱(UPLC-Q-TOF / MS)和简单的方法对两种草药的化学成分进行了广泛表征。建立了实用,可靠的高效液相色谱指纹图谱方法,并将其用于20批次样品的测定。凭借其色谱指纹图谱,通过模式识别方法,即主成分分析(PCA)和偏最小二乘判别分析(PLS-DA),成功地区分了这两种物质。这项研究的结果表明,所提出的分析方法可用于种子的质量控制,并具有确保其安全性和有效性的巨大潜力。

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