NIR hyperspectral imaging with multivariate analysis for measurement of oil and protein contents in peanut varieties-Reference-Cited by-同舟云学术

NIR hyperspectral imaging with multivariate analysis for measurement of oil and protein contents in peanut varieties

Published:2017 Issue:43 Volume:9 Page:6148-6154
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Cheng Jun-Hu¹²³⁴⁵^ORCID,Jin Huali¹²³⁴,Xu Zhongyue⁶²³⁴,Zheng Fuping⁵⁷⁸⁴

Affiliation:

1. School of Food Science and Engineering

2. South China University of Technology

3. Guangzhou

4. China

5. Beijing Laboratory for Food Quality and Safety

6. School of Business Administration

7. Beijing Technology and Business University

8. Beijing 100048

Abstract

The potential of hyperspectral imaging in the spectral range of 1000–2500 nm with multivariate analysis for the prediction of oil and protein concentrations in five peanut cultivars was investigated.

Funder

Natural Science Foundation of Guangdong Province

China Postdoctoral Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2017/AY/C7AY02115A

Reference22 articles.

1. Evidence for a Second RKN Resistance Gene in Peanut

2. Physicochemical Characteristics, Functional Properties, and Nutritional Benefits of Peanut Oil: A Review

3. Hyperspectral imaging as an effective tool for quality analysis and control of fish and other seafoods: Current research and potential applications

4. NIR Reflectance Spectroscopy for Nondestructive Moisture Content Determination in Peanut Kernels

5. Feasibility of estimating peanut essential minerals by near infrared reflectance spectroscopy

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