Determination of vitamin C in red globe grape based on visible/near-infrared diffuse reflectance spectroscopy

Authors

CHEN Chen, College of Biotechnology and Food Science, Tianjin University of Commerce Tianjin, Tianjin 300134, China; Key Laboratory of Food Biotechnology, Tianjin 300134, China
LU Xiaoxiang, College of Biotechnology and Food Science, Tianjin University of Commerce Tianjin, Tianjin 300134, China; Key Laboratory of Food Biotechnology, Tianjin 300134, China
ZHANG Peng, Tianjin Key Laboratory of Postharvest Physiology and Storage of Agricultural Products, Tianjin 300134, China; National Engineering and Technology Research Center for Preservation of Agricultural Products, Tianjin 300384, China
CHEN Shaohui, Tianjin Key Laboratory of Postharvest Physiology and Storage of Agricultural Products, Tianjin 300134, China; National Engineering and Technology Research Center for Preservation of Agricultural Products, Tianjin 300384, China
LI Jiangkuo, Tianjin Key Laboratory of Postharvest Physiology and Storage of Agricultural Products, Tianjin 300134, China; National Engineering and Technology Research Center for Preservation of Agricultural Products, Tianjin 300384, China

Abstract

For establishing the determination model of vitamin C content of Red Globe Grape using visible / near infrared diffuse reflectance spectroscopy, and evaluating its application value, effects on scaling model results of different chemometry modeling methods, different spectra pretreatment methods and different effective wavelength intervals were discussed, and the samples in prediction set were used to verified the accuracy of the optimal model. The results showed that in the whole spectral range, application of modified partial least squares (MPLS) combined with first derivative, 5 points smoothing, weighted multivariate discrete correction (WMSC) could obtain the optimal calibration models, the cross validation error (SECV) was 0.054 3, the calibration determination coefficient (R²_cv )was 0.920 2, the prediction determination coefficient (R²p) was 0.931 8 and the standard error of prediction （SEP）was 0.050 0, the sum of squared residuals (PRESS) was 0.188 0, the relative analysis of the forecast error (RPD) was 3.640 0. Therefore, applying visible / near infrared diffuse reflectance technique to quick and nondestructive detection of vitamin C in Red Globe grape is feasible, the model is stable and with high precision.

Publication Date

10-28-2015

First Page

70

Last Page

74

DOI

10.13652/j.issn.1003-5788.2015.05.017

Recommended Citation

Chen, CHEN; Xiaoxiang, LU; Peng, ZHANG; Shaohui, CHEN; and Jiangkuo, LI (2015) "Determination of vitamin C in red globe grape based on visible/near-infrared diffuse reflectance spectroscopy," Food and Machinery: Vol. 31: Iss. 5, Article 17.
DOI: 10.13652/j.issn.1003-5788.2015.05.017
Available at: https://www.ifoodmm.cn/journal/vol31/iss5/17

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