Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables-Reference-Cited by-同舟云学术

Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables

Published:2023-03 Issue: Volume:17 Page:100539
ISSN:2590-1575
Container-title:Food Chemistry: X
language:en
Short-container-title:Food Chemistry: X

Author:

Li Zhanming,Song Jiahui,Ma Yinxing,Yu Yue,He Xueming,Guo Yuanxin,Dou Jinxin,Dong Hao

Publisher

Elsevier BV

Subject

Food Science,Analytical Chemistry

Reference40 articles.

1. Classification of tea varieties based on fluorescence hyperspectral image technology and ABC-SVM algorithm;Ahmad;Journal of Food Processing and Preservation,2021

2. A visual titration method for the determination of the acid number of oils and fats: A green alternative;Aricetti;Journal of the American Oil Chemists' Society,2012

3. Quantifying several adulterants of notoginseng powder by near-infrared spectroscopy and multivariate calibration;Chen;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2019

4. China National Standard, GB/T 20569-2006. Guidelines for evaluation of paddy storage character. 2006.

5. Feasibility of application of near infrared reflectance (NIR) spectroscopy for the prediction of the chemical composition of traditional sausages;Eleni;Applied Sciences,2021

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