Detection of adulterants and authenticity discrimination for coarse grain flours using NIR hyperspectral imaging-Reference-Cited by-同舟云学术

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Detection of adulterants and authenticity discrimination for coarse grain flours using NIR hyperspectral imaging

Published:2019-09-29 Issue:7 Volume:42 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Eng

Author:

Shao Yuanyuan¹²,Xuan Guantao¹³^ORCID,Hu Zhichao²,Wang Yongxian¹

Affiliation:

1. College of Mechanical and Electrical EngineeringShandong Agricultural University Tai'an China

2. Nanjing Research Institute for Agricultural MechanizationMinistry of Agriculture Nanjing China

3. College of Agriculture, Food and Natural ResourcesUniversity of Missouri Columbia Missouri

Funder

China Scholarship Council

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.13265

Reference30 articles.

1. Determination of starch content in adulterated fresh cheese using hyperspectral imaging

2. Influence of puroindoline alleles on milling performance and qualities of Chinese noodles, steamed bread and pan bread in spring wheats

3. Detection of melamine in milk powders based on NIR hyperspectral imaging and spectral similarity analyses

4. Nondestructive Measurement of Soluble Solids Content of Kiwifruits Using Near-Infrared Hyperspectral Imaging

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