Chemometric discrimination of unfractionated plant extracts analyzed by electrospray mass spectrometry
Chemometric discrimination of unfractionated plant extracts analyzed by electrospray mass spectrometry
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DOI：
10.1016/s0031-9422(02)00718-5
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发表时间：
2003-03-01
期刊：
影响因子：
3.8
通讯作者：
Scott, IM
中科院分区：
文献类型：
--
作者：
Goodacre, R;York, EV;Scott, IM
通过直接注入电喷雾电离质谱仪，从未分级牵牛叶汁液样品中获得代谢指纹。每个样品的分析时间少于30秒，并产生复杂的质谱。各种化学计量学方法，包括判别函数分析和人工神经网络和遗传编程的机器学习方法，可以区分不同光周期处理的植物的代谢指纹。这种快速自动化分析程序可以用于各种需要高样本通量的植物化学应用。(C)2003爱思唯尔科技有限公司版权所有。
Metabolic fingerprints were obtained from unfractionated Pharbitis nil leaf sap samples by direct infusion into an electrospray ionization mass spectrometer. Analyses took less than 30 s per sample and yielded complex mass spectra. Various chemometric methods, including discriminant function analysis and the machine-learning methods of artificial neural networks and genetic programming, could discriminate the metabolic fingerprints of plants subjected to different photoperiod treatments. This rapid automated analytical procedure could find use in a variety of phytochemical applications requiring high sample throughput. (C) 2003 Elsevier Science Ltd. All rights reserved.