Rapid analysis model of apple sugar degree using portable near-infrared spectrometer

被引：3

作者：

Lei, Ying ^{[1
]}

Liu, Cuiling ^{[1
]}

Zhou, Ziyan ^{[1
]}

机构：

[1] School of Computer and Information Engineering, Beijing Technology and Business University, Beijing,100048, China

来源：

Journal of Food Science and Technology (China) | 2018年 / 36卷 / 06期

关键词：

Spectrometers - Fruits - Infrared devices;

D O I：

10.3969/j.issn.2095-6002.2018.06.014

中图分类号：

学科分类号：

摘要：

In order to realize the fast lossless field detection of apple sugar by portable near infrared spectrometer, the K-S algorithm was used to divide the sample set. The partial least square and the interval partial least square algorithm was used to determine the optimal wavelength range of apple sugar. After compared and analyzed 9 pretreatment combinations, apple sugar's near-infrared prediction model was set up. The results showed that the optimal sugar range was 1 198 -670 cm-1 using the partial least square method, and the model with first-order derivation, S-G convolution smoothing, and standard normalization was the best predictor. The correlation coefficients and RMSEC of the correction set were 0.922 3 and 0.423, and the correlation coefficients and RMSEP of the prediction set were 0.918 9 and 0.237. The results showed that the apple sugar could be detected quickly and lossless by using the portable spectrometer with low accuracy. © 2018 Beijing Technology and Business University, Department of Science and Technology. All rights reserved.

引用

页码：95 / 100