Xu Jian, Xu Qing-Song, Chan Chi-On, Mok Daniel Kam-Wah, Yi Lun-Zhao, Chau Foo-Tim
School of Mathematics and Statistics, Central South University, Changsha 410083, PR China.
School of Mathematics and Statistics, Central South University, Changsha 410083, PR China.
Anal Chim Acta. 2015 Apr 22;870:45-55. doi: 10.1016/j.aca.2015.02.030. Epub 2015 Feb 26.
Bioactive component identification is a crucial issue in search for new drug leads. We provide a new strategy to search for bioactive components based on Sure Independence Screening (SIS) and interval PLS (iPLS). The method, which is termed as SIS-iPLS, is not only able to find out the chief bioactive components, but also able to judge how many components should be there responsible for the total bioactivity. The method is totally "data-driven" with no need for prior knowledge about the unknown mixture analyzed, therefore especially suitable for effect-directed work like bioassay-guided fractionation. Two data sets, a synthetic mixture system of twelve components and a suite of Radix Puerariae Lobatae extracts samples, are used to test the identification ability of the SIS-iPLS method.