Fast Nondestructive Detection Technology and Equipment for Food Quality and Safety-Reference-Cited by-同舟云学术

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Fast Nondestructive Detection Technology and Equipment for Food Quality and Safety

Published:2023-10-12 Issue:20 Volume:12 Page:3744
ISSN:2304-8158
Container-title:Foods
language:en
Short-container-title:Foods

Author:

Guo Zhiming¹²³^ORCID,Jayan Heera¹²^ORCID

Affiliation:

1. School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China

2. International Joint Research Laboratory of Intelligent Agriculture and Agri-Products Processing, Jiangsu University, Zhenjiang 212013, China

3. China Light Industry Key Laboratory of Food Intelligent Detection & Processing, Jiangsu University, Zhenjiang 212013, China

Abstract

Fast nondestructive detection technology in food quality and safety evaluation is a powerful support tool that fosters informatization and intelligence in the food industry, characterized by its rapid processing, convenient operation, and seamless online inspection [...]

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Outstanding Young Teachers of Blue Project in Jiangsu province, Key R&D Project of Jiangsu Province

Jiangsu Agriculture Science and Technology Innovation Fund

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

Link

https://www.mdpi.com/2304-8158/12/20/3744/pdf

Reference22 articles.

1. Yin, L., Jayan, H., Cai, J., El-Seedi, H.R., Guo, Z., and Zou, X. (2023). Development of a Sensitive SERS Method for Label-Free Detection of Hexavalent Chromium in Tea Using Carbimazole Redox Reaction. Foods, 12.

2. Qiu, M., Tang, L., Wang, J., Xu, Q., Zheng, S., and Weng, S. (2023). SERS with Flexible β-CD@AuNP/PTFE Substrates for In Situ Detection and Identification of PAH Residues on Fruit and Vegetable Surfaces Combined with Lightweight Network. Foods, 12.

3. Zhang, X., Bian, F., Wang, Y., Hu, L., Yang, N., and Mao, H. (2022). A Method for Capture and Detection of Crop Airborne Disease Spores Based on Microfluidic Chips and Micro Raman Spectroscopy. Foods, 11.

4. Sun, T., Wang, Y., Li, M., and Hu, D. (2023). Raman Spectroscopic Study of Five Typical Plasticizers Based on DFT and HF Theoretical Calculation. Foods, 12.

5. Sun, H., Zhang, S., Ren, R., Xue, J., and Zhao, H. (2022). Detection of Soluble Solids Content in Different Cultivated Fresh Jujubes Based on Variable Optimization and Model Update. Foods, 11.

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1. Several Feature Extraction Methods Combined with Near-Infrared Spectroscopy for Identifying the Geographical Origins of Milk;Foods;2024-06-06

2. Disambiguity and Alignment: An Effective Multi-Modal Alignment Method for Cross-Modal Recipe Retrieval;Foods;2024-05-23

3. Integrating Criss-Cross Attention Mechanism for Origin Traceability of Peanuts Using Electronic Nose Technology;2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07

4. Computer vision and deep learning-based approaches for detection of food nutrients/nutrition: New insights and advances;Trends in Food Science & Technology;2024-04

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