Building kinetic models for apple crispness to determine the optimal freshness preservation time during shelf life based on spectroscopy-Reference-Cited by-同舟云学术

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Building kinetic models for apple crispness to determine the optimal freshness preservation time during shelf life based on spectroscopy

Published:2020-03-02 Issue:5 Volume:44 Page:
ISSN:0145-8892
Container-title:Journal of Food Processing and Preservation
language:en
Short-container-title:J Food Process Preserv

Author:

Ni Fupeng¹^ORCID,Meng Qingkui¹,Gu Fang¹,Hu Yaohua¹²³

Affiliation:

1. College of Mechanical and Electronic Engineering Northwest A&F University Yangling China

2. Key Laboratory of Agricultural Internet of Things Ministry of Agriculture Yangling China

3. Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service Northwest A&F University Yangling China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemical Engineering,General Chemistry,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpp.14422

Reference33 articles.

1. Importance of fruit variability in the assessment of apple quality by sensory evaluation

2. Principal component analysis of chewing sounds to detect differences in apple crispness

3. Non-destructive evaluation of ripening and quality traits in apples using a multiparametric fluorescence sensor

4. Consumer eating quality acceptance of new apple varieties in different European countries

5. Food Texture and Viscosity: Concept and Measurement

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Building models to evaluate internal comprehensive quality of apples and predict storage time;Infrared Physics & Technology;2024-01

2. Changes in Cell Wall Sugar Neutral Composition Contribute to Apple Texture Loss during Storage among Cultivars;Horticulturae;2023-02-21

3. Building kinetic models to determine moisture content in apples and predicting shelf life based on spectroscopy;Journal of Food Process Engineering;2021-10-27

4. Feasibility of nondestructive detection of apple crispness based on spectroscopy and machine vision;Journal of Food Process Engineering;2021-07-07

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