Identification of the apple spoilage causative fungi and prediction of the spoilage degree using electronic nose-Reference-Cited by-同舟云学术

Identification of the apple spoilage causative fungi and prediction of the spoilage degree using electronic nose

Published:2021-07-21 Issue:10 Volume:44 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Eng

Author:

Guo Zhiming¹^ORCID,Guo Chuang¹,Sun Li¹^ORCID,Zuo Min²,Chen Quansheng¹^ORCID,El‐Seedi Hesham R.³⁴^ORCID,Zou Xiaobo¹⁴^ORCID

Affiliation:

1. School of Food and Biological Engineering Jiangsu University Zhenjiang China

2. National Engineering Laboratory for Agri‐product Quality Traceability Beijing Technology and Business University Beijing China

3. Pharmacognosy Group, Department of Pharmaceutical Biosciences, BMC Uppsala University Uppsala Sweden

4. International Research Center for Food Nutrition and Safety Jiangsu University Zhenjiang China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.13816

Reference40 articles.

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3. Correlation between electronic nose signals and fruit quality indicators on shelf-life measurements with pinklady apples

4. Different lactic acid bacteria strains affecting the flavor profile of fermented jujube juice

5. Colorni A. Dorigo M. Maniezzo V. Manner R. &Manderick B.(1992).An investigation of some properties of an ant algorithm. Paper presented at the Parallel Problem Solving from Nature.

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