Abstract
Meat products are particularly plagued by safety problems because of their complicated structure, various production processes and complex supply chains. Rapid and non-invasive analytical methods to evaluate meat quality have become a priority for the industry over the conventional chemical methods. To achieve rapid analysis of safety and quality parameters of meat products, hyperspectral imaging (HSI) is now widely applied in research studies for detecting the various components of different meat products, but its application in meat production and supply chain integrity as a quality control (QC) solution is still ambiguous. This review presents the fresh look at the current states of HSI research as both the scope and the applicability of the HSI in the meat quality evaluation expanded. The future application scenarios of HSI in the supply chain and the future development of HSI hardware and software are also discussed, by which HSI technology has the potential to enable large scale meat product testing. With a fully adapted for factory setting HSI, the inspection coverage can reliably identify the chemical properties of meat products. With the introduction of Food Industry 4.0, HSI advances can change the meat industry to become from reactive to predictive when facing meat safety issues.
Original language | English |
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Pages (from-to) | 1017-1027 |
Number of pages | 11 |
Journal | Current Research in Food Science |
Volume | 5 |
DOIs | |
Publication status | Published - 18 Jun 2022 |
Bibliographical note
Funding Information:The authors would like to acknowledge Queen's University Belfast (QUB) and China Scholarship Council (CSC, China) for financial support to this research under the QUB-CSC (QUEEN’S UNIVERSITY/CHINA SCHOLARSHIP COUNCIL).
Publisher Copyright:
© 2022
Keywords
- Hyperspectral imaging
- Meat products
- Meat supply chain
- Safety and quality evaluation
ASJC Scopus subject areas
- Biotechnology
- Food Science
- Applied Microbiology and Biotechnology
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Novel AI-informed spectroscopy and spectrometry methodologies for meat authenticity: meat identification and meat evaluation
Jia, W. (Author), Koidis, A. (Supervisor), van Ruth, S. (Supervisor) & Scollan, N. (Supervisor), Jul 2024Student thesis: Doctoral Thesis › Doctor of Philosophy