title: Chinese vinegar classification via volatiles using long-optical-path infrared spectroscopy and chemometrics.
abstract: Different brands of Chinese vinegar are similar in appearance, color and aroma, making their discrimination difficult. The compositions and concentrations of the volatiles released from different vinegars vary by raw material and brewing process and thus offer a means to discriminate vinegars. In this study, we enhanced the detection sensitivity of the infrared spectrometer by extending its optical path. We measured the infrared spectra of the volatiles from 5 brands of Chinese vinegar and observed the spectral characteristics corresponding to alcohols, esters, acids, furfural, etc. Different brands of Chinese vinegar had obviously different infrared spectra and could be classified through chemometrics analysis. Furthermore, we established classification models and demonstrated their effectiveness for classifying different brands of vinegar. This study demonstrates that long-optical-path infrared spectroscopy has the ability to discriminate Chinese vinegars with the advantages that it is fast and non-destructive and eliminates the need for sampling.
authors.affiliation: National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China. Electronic address: damingdong@hotmail.com.
authors.forename: D
authors.initials: D
authors.lastname: Dong
authors.affiliation: National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
authors.forename: W
authors.initials: W
authors.lastname: Zheng
authors.affiliation: National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
authors.forename: L
authors.initials: L
authors.lastname: Jiao
authors.affiliation: National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
authors.forename: Y
authors.initials: Y
authors.lastname: Lang
authors.affiliation: National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
authors.forename: X
authors.initials: X
authors.lastname: Zhao
mesh_terms: D019342:Acetic Acid / Q000737:chemistry*; D044466:Asian People; D006801:Humans; D013055:Spectrophotometry, Infrared / Q000379:methods*; D014835:Volatilization
chemical_list: D019342:Acetic Acid
keywords: Chemometrics; Chinese vinegar; Infrared spectroscopy; Volatiles