Spectroscopy and Spectral Analysis, Volume. 31, Issue 9, 2386(2011)
Determination of Acidity and Vitamin C in Apples Using Portable NIR Analyzer
Near infrared (NIR) spectroscopy technology based on a portable NIR analyzer, combined with kernel Isomap algorithm and generalized regression neural network (GRNN) has been applied to establishing quantitative models for prediction of acidity and vitamin C in six kinds of apple samples. The obtained results demonstrated that the fitting and the predictive accuracy of the models with kernel Isomap algorithm were satisfactory. The correlation between actual and predicted values of calibration samples (Rc) obtained by the acidity model was 0.999 4, and for prediction samples (Rp) was 0.979 9. The root mean square error of prediction set (RMSEP) was 0.055 8. For the vitamin C model, Rc was 0.989 1, Rp was 0.927 2, and RMSEP was 4.043 1. Results proved that the portable NIR analyzer can be a feasible tool for the determination of acidity and vitamin C in apples.
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YANG Fan, LI Ya-ting, GU Xuan, MA Jiang, FAN Xing, WANG Xiao-xuan, ZHANG Zhuo-yong. Determination of Acidity and Vitamin C in Apples Using Portable NIR Analyzer[J]. Spectroscopy and Spectral Analysis, 2011, 31(9): 2386
Received: Nov. 10, 2010
Accepted: --
Published Online: Nov. 9, 2011
The Author Email: Fan YANG (lynettef@126.com)