液相色谱-高分辨率串联质谱(MS2)和多级质谱(MS3)筛选有毒天然产物的比较

IF 3.1 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Ruben Yiqi Luo , Kate Comstock , Caroline Ding , Alan H.B. Wu , Kara L. Lynch
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引用次数: 0

摘要

背景液相色谱-高分辨率质谱(LC-HR-MS)是一种用于临床毒理学化合物筛选的强大分析技术。为了评估LC-HR-MS3在检测有毒天然产物方面的潜力,构建了一个包含MS2和MS3质谱的85种天然产物(79种生物碱)的光谱库,并用于鉴定天然产物。使用LC-HR-MS3方法分析样品,并将生成的数据与光谱库相匹配,以鉴定天然产物。方法为了测试LC-HR-MS3方法在不同样品基质中的性能,将85种天然产物标准品分为三组,以分离结构异构体,避免多种分析物共同洗脱引起的离子抑制作用。将分组分析物掺入无药物血清和无药物尿液中,以产生人工临床样品。结果对尿样和血清样品中的85种天然产物进行了化合物鉴定。在10种不同的分析物浓度下,比较使用MS2和MS3质谱的匹配分数和仅使用MS2质谱的匹配得分。这两种类型的数据分析为大多数分析物(96%在血清中,92%在尿液中)提供了相同的鉴定结果,而对于剩余的分析物,MS2-MS3树数据分析在较低浓度下具有更好的鉴定性能。结论与LC-HR-MS(MS2)相比,LC-HR-MS3能够提高在血清和尿液样品中检测的一小群有毒天然产物的鉴定性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of liquid chromatography-high-resolution tandem mass spectrometry (MS2) and multi-stage mass spectrometry (MS3) for screening toxic natural products

Background

Liquid chromatography-high-resolution mass spectrometry (LC-HR-MS) has emerged as a powerful analytical technology for compound screening in clinical toxicology. To evaluate the potential of LC-HR-MS3 in detecting toxic natural products, a spectral library of 85 natural products (79 alkaloids) that contains both MS2 and MS3 mass spectra was constructed and used to identify the natural products. Samples were analyzed using an LC-HR-MS3 method and the generated data were matched to the spectral library to identify the natural products.

Methods

To test the performance of the LC-HR-MS3 method in different sample matrices, the 85 natural product standards were divided into three groups to separate structural isomers and avoid ion suppression effects caused by co-elution of multiple analytes. The grouped analytes were spiked into drug-free serum and drug-free urine to produce contrived clinical samples.

Results

The compound identification results of the 85 natural products in urine and serum samples were obtained. The match scores using both MS2 and MS3 mass spectra and those using only MS2 mass spectra were compared at 10 different analyte concentrations. The two types of data analysis provided identical identification results for the majority of the analytes (96% in serum, 92% in urine), whereas, for the remaining analytes, the MS2-MS3 tree data analysis had better performance in identifying them at lower concentrations.

Conclusion

This study shows that in comparison to LC-HR-MS (MS2), LC-HR-MS3 can increase the performance in identification of a small group of the toxic natural products tested in serum and urine specimens.

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来源期刊
Journal of Mass Spectrometry and Advances in the Clinical Lab
Journal of Mass Spectrometry and Advances in the Clinical Lab Health Professions-Medical Laboratory Technology
CiteScore
4.30
自引率
18.20%
发文量
41
审稿时长
81 days
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