Nondestructive quantification of the soluble-solids content and the available acidity of apples by fourier-transform near-infrared spectroscopy.
This research evaluated the feasibility of using Fourier-transform near-infrared (FT-NIR) spectroscopy to quantify the soluble-solids content (SSC) and the available acidity (VA) in intact apples. Partial least-squares calibration models, obtained from several preprocessing techniques (smoothing, derivative, etc.) in several wave-number ranges were compared. The best models were obtained with the high coefficient determination (r2) 0.940 for the SSC and a moderate r2 of 0.801 for the VA, root-mean-square errors of prediction of 0.272% and 0.053%, and root-mean-square errors of calibration of 0.261% and 0.046%, respectively. The results indicate that the FT-NIR spectroscopy yields good predictions of the SSC and also showed the feasibility of using it to predict the VA of apples.
Ying
Yibin
Y
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China. ybying@zju.edu.cn
Liu
Yande
Y
Tao
Yang
Y