Non‐destructive beef adulteration detection using hyperspectral imaging and independent component analysis
This tissue surface feature-based approach provides a rapid, accurate and non-destructive method for meat adulteration detection, offering significant potential for industrial implementation, particularly suited for high-throughput screening in meat processing facilities and quality assurance operations. © 2025 Society of Chemical Industry.
Authors
- xinai zhang
- Xiaowei Huang (ORCID: https://orcid.org/0009-0004-8545-0904)
- Jiyong Shi (ORCID: https://orcid.org/0000-0002-8808-7256)
- Wenlong Li (ORCID: https://orcid.org/0009-0004-2766-8817)
- Peipei Gao
- Xiaobo Zou
- Xiangyu Shi
Institutions
- Jiangsu University (CN)
- Fujian Research Institute of Light Industry (CN)
Publication Details
- Journal
- Journal of the Science of Food and Agriculture
- Published
- 2025-12-23
- DOI
- https://doi.org/10.1002/jsfa.70397
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province
- Priority Academic Program Development of Jiangsu Higher Education Institutions