Applications of optical property measurement for quality evaluation of agri-food products: a review-Reference-Cited by-同舟云学术

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Applications of optical property measurement for quality evaluation of agri-food products: a review

Published:2023-09-10 Issue: Volume: Page:1-21
ISSN:1040-8398
Container-title:Critical Reviews in Food Science and Nutrition
language:en
Short-container-title:Critical Reviews in Food Science and Nutrition

Author:

Hu Dong¹,Jia Tianze¹,Sun Xiaolin¹,Zhou Tongtong¹,Huang Yuping²,Sun Zhizhong³,Zhang Chang⁴,Sun Tong¹,Zhou Guoquan¹

Affiliation:

1. College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China

2. College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China

3. College of Chemistry and Materials Engineering, Zhejiang A&F University, Hangzhou, China

4. Office of Educational Administration, Zhejiang A&F University, Hangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,General Medicine,Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10408398.2023.2255260

Reference161 articles.

1. Prediction of quality attributes and ripeness classification of bananas using optical properties

2. Using absorption and reduced scattering coefficients for non-destructive analyses of fruit flesh firmness and soluble solids content in pear ( Pyrus communis ‘Conference’)—An update when using diffusion theory

3. Effect of ultrasonic homogenization on the Vis/NIR bulk optical properties of milk

4. Visible and near-infrared bulk optical properties of raw milk

5. Flexible tool for simulating the bulk optical properties of polydisperse spherical particles in an absorbing host: experimental validation

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1. Quality detection of watermelons and muskmelons using innovative nondestructive techniques: A comprehensive review of novel trends and applications;Food Control;2024-11

2. Binocular structured light-based 3D reconstruction for morphological measurements of apples;Postharvest Biology and Technology;2024-07

3. Classification of Apple Color and Deformity Using Machine Vision Combined with CNN;Agriculture;2024-06-23

4. Spatial frequency domain imaging combining profile correction enables accurate real-time quantitative mapping of optical properties of apples;Postharvest Biology and Technology;2024-06

5. Internal quality evaluation of ‘Fuji’ apples during storage based on bulk optical properties or diffuse reflection and transmission spectra;LWT;2024-05

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