A near‐infrared spectroscopy method for the detection of texture profile analysis of <i>Litopeneo vannamei</i> based on partial least squares regression-Reference-Cited by-同舟云学术

A near‐infrared spectroscopy method for the detection of texture profile analysis of Litopeneo vannamei based on partial least squares regression

Published:2022-08-05 Issue:10 Volume:45 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Engineering

Author:

Wei Changhui¹,Li Xinxing¹²^ORCID

Affiliation:

1. College of Information and Electrical Engineering, China Agricultural University Beijing China

2. Nanchang Institute of Technology Nanchang China

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.14140

Reference33 articles.

1. Detection of minced beef adulteration with turkey meat by UV–vis, NIR and MIR spectroscopy

2. Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra

3. Feasibility Study for the Use of Near-Infrared Spectroscopy in the Quantitative Analysis of TVB-N Content in Pork

4. PCA combined with martensite distance method to reject near‐infrared anomalous samples;Chen B.;Journal of Jiangsu University (Natural Science Edition),2008

5. Study on the change of fish texture of East China Sea horse mackerel under different storage conditions;Chen T.;Food Science and Technology,2012

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