title: [Quantitative determination of soluble solid content in bayberry juice using near-infrared spectroscopy technique].
abstract: Near-infrared transmittance spectra of bayberry juice of different varieties in Zhejiang province were obtained and a quantitative analysis was carried out. Leverage value, studentized residue and sample's Mahalanobis distance were applied to detect the outlier sample, and different wave number ranges and resolutions were chosen for partial least squares (PLS) regression to abstract spectral information effectively. The best factor, resolution and optimum wave number range were determined. Analysis results show that one sample was an outlier and deleted, and the best model gave the relative high correlation coefficient of 0.957 85, RMSEC, RMSEP and RMSECV of 0.431, 0.925 and 1.07 degrees Brix, respectively, when the best wave number range was 4 000-12 267.46 cm(-1), and the best factor and resolution were 8 and 4 cm(-1), respectively. The results indicate that it is feasible to use NIR spectroscopy technique for quantitative analysis of bayberry juice soluble solid content.
authors.affiliation: College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.
authors.forename: Li-Juan
authors.initials: LJ
authors.lastname: Xie
authors.forename: Dong-Hong
authors.initials: DH
authors.lastname: Liu
authors.forename: Yu-Huan
authors.initials: YH
authors.lastname: Zhang
authors.forename: Hui-Rong
authors.initials: HR
authors.lastname: Xu
authors.forename: Xing-Qian
authors.initials: XQ
authors.lastname: Ye
authors.forename: Yi-Bin
authors.initials: YB
authors.lastname: Ying
mesh_terms: D001628:Beverages / Q000032:analysis*; D005240:Feasibility Studies; D016018:Least-Squares Analysis; D031641:Myrica / Q000737:chemistry* / Q000145:classification; D012044:Regression Analysis; D015203:Reproducibility of Results; D012995:Solubility; D013045:Species Specificity; D019265:Spectroscopy, Near-Infrared / Q000379:methods*