title: [Adopting the method of principal components analysis combined with correlation coefficient to increase the predicted concentration's accuracy of benzene and its homology mixture].
abstract: The concentrations of benzene and its homology mixture were measured by near infrared spectra, and the emphasis was put on the character of the principal component and its physical significance. It is pointed out that the anterior principal components are very similar to the correlation coefficient of the multi-component solution and the theoretical proof for the right condition is given. The high frequency noise of the system can be checked out by principal component combined with the correlation coefficient. Removing the noise can greatly increase the accuracy of the prediction model.
authors.affiliation: The Photonics Center of the Physics Institute, Nankai University, Tianjin 300071, China.
authors.forename: Zhong-chen
authors.initials: ZC
authors.lastname: Wu
authors.forename: Xiao-xuan
authors.initials: XX
authors.lastname: Xu
authors.forename: Ren-jie
authors.initials: RJ
authors.lastname: Yang
authors.forename: Gang
authors.initials: G
authors.lastname: Yu
authors.forename: Cun-zhou
authors.initials: CZ
authors.lastname: Zhang
mesh_terms: D001554:Benzene / Q000032:analysis / Q000737:chemistry* / Q000494:pharmacology; D002626:Chemistry, Pharmaceutical; D025341:Principal Component Analysis / Q000379:methods*; D013055:Spectrophotometry, Infrared / Q000379:methods*
chemical_list: D001554:Benzene