title: [Quality analysis of olive oil and quantification detection of adulteration in olive oil by near-infrared spectrometry and chemometrics].
abstract: Discriminant analysis was used to classify 20 olive oil samples based on their near-infrared (NIR) spectra. The samples were successfully classified into two categories which are consistent with extra virgin olive oil and ordinary olive oil defined in the products. The NIR spectra of olive-oil mixtures containing colza oil, corn oil, peanut oil, camellia oil, sunflower oil, and poppy seed oil were collected, respectively. The volume percent of adulterants ranged from 0 to 100%. The best spectrum bands for analysis were selected before developing partial least-squares (PLS) calibration models. The relative errors of prediction ranged from -5.67% to 5.61%. Results showed that the method combined with chemometrics methods and near-infrared spectrometry is simple, fast and credible for qualitative and quantitative analyses of olive oil samples.
authors.affiliation: Department of Chemistry, Capital Normal University, Beijing 100048, China. hxzxl2005@126.com
authors.forename: Xiao-Li
authors.initials: XL
authors.lastname: Zhuang
authors.forename: Yu-Hong
authors.initials: YH
authors.lastname: Xiang
authors.forename: Hong
authors.initials: H
authors.lastname: Qiang
authors.forename: Zhuo-Yong
authors.initials: ZY
authors.lastname: Zhang
authors.forename: Ming-Qiang
authors.initials: MQ
authors.lastname: Zou
authors.forename: Xiao-Fang
authors.initials: XF
authors.lastname: Zhang
mesh_terms: D005506:Food Contamination / Q000032:analysis*; D000069463:Olive Oil; D010938:Plant Oils / Q000032:analysis*; D019265:Spectroscopy, Near-Infrared
chemical_list: D000069463:Olive Oil; D010938:Plant Oils