Rapid determination of reducing sugar content in sweet potatoes using NIR spectra

被引：45

作者：

He, Hong-Ju ^{[1
]}

Wang, Yangyang ^{[1
]}

Zhang, Mian ^{[2
]}

Wang, Yuling ^{[2
]}

Ou, Xingqi ^{[2
]}

Guo, Jingli ^{[3
]}

机构：

[1] Henan Inst Sci & Technol, Sch Food Sci, Xinxiang 453003, Peoples R China

[2] Henan Inst Sci & Technol, Sch Life Sci & Technol, Xinxiang 453003, Peoples R China

[3] Henan Xinlianxin Chem Ind Co Ltd, Xinxiang 453700, Peoples R China

来源：

JOURNAL OF FOOD COMPOSITION AND ANALYSIS | 2022年 / 111卷

关键词：

Near-infrared (NIR); Partial least squares (PLS); Sweet potatoes; Reducing sugar; F-test; t-test; NEAR-INFRARED-SPECTROSCOPY; IPOMOEA-BATATAS L; QUALITY; REGRESSION;

D O I：

10.1016/j.jfca.2022.104641

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

Reducing sugar plays a vital role in edible quality and processing properties of sweet potatoes. This study was aimed to quantitatively predict the reducing sugar content of sweet potatoes through mining near-infrared (NIR) reflectance, Kubelka-Munk (KM) and absorbance spectra in the 900-1700 nm range, respectively, by using partial least squares (PLS) algorithm. Stepwise regression combined with the regression coefficient (SRRC) method was applied to select optimal wavelengths to optimize original full band PLS models. It was found that SRRC-KM-PLS model built with 14 optimal wavelengths selected from KM spectra had better performance with a regression coefficient of prediction (r(P)) of 0.952 and root mean square error of prediction (RMSEP) of 0.264 g/100 g. Two-sample F-test and t-test (P > 0.05) results indicated the statistical soundness and predictive validity. In conclusion, it is reasonable and feasible to detect reducing sugar content in sweet potatoes via NIR spectra in a rapid way.

引用

页数：10

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