Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review
Terahertz spectroscopy (0.1~10 THz), as a new type of non-destructive testing method with both microwave and infrared characteristics, has shown remarkable potential in the field of food quality testing in recent years. Its unique penetration, high sensitivity, and low photon energy characteristics,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/14/13/2199 |
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| author | Jie Yang Xue Bai Mingji Wei Hui Jiang Leijun Xu |
| author_facet | Jie Yang Xue Bai Mingji Wei Hui Jiang Leijun Xu |
| author_sort | Jie Yang |
| collection | DOAJ |
| description | Terahertz spectroscopy (0.1~10 THz), as a new type of non-destructive testing method with both microwave and infrared characteristics, has shown remarkable potential in the field of food quality testing in recent years. Its unique penetration, high sensitivity, and low photon energy characteristics, combined with chemometrics and machine learning methods, provide an efficient solution for the qualitative and quantitative analysis of complex food ingredients. In this paper, we systematically review the principles of terahertz spectroscopy and its key applications in food testing, focusing on its research progress in pesticide residues, additives, biotoxins, and mold, adulteration identification, variety identification, and nutrient content detection. By integrating spectral data preprocessing, reconstruction algorithms, and machine learning model optimization strategies, this paper further analyzes the advantages and challenges of this technology in enhancing detection accuracy and efficiency. In addition, combined with the urgent demand for fast and nondestructive technology in the field of food detection, the future development direction of the deep integration of terahertz spectroscopy technology and artificial intelligence is envisioned, with a view to providing theoretical support and technical reference for food safety assurance and nutritional health research. |
| format | Article |
| id | doaj-art-d7f15b54a32e4efe831ace221032b1e1 |
| institution | Kabale University |
| issn | 2304-8158 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj-art-d7f15b54a32e4efe831ace221032b1e12025-08-20T03:50:20ZengMDPI AGFoods2304-81582025-06-011413219910.3390/foods14132199Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive ReviewJie Yang0Xue Bai1Mingji Wei2Hui Jiang3Leijun Xu4School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaTerahertz spectroscopy (0.1~10 THz), as a new type of non-destructive testing method with both microwave and infrared characteristics, has shown remarkable potential in the field of food quality testing in recent years. Its unique penetration, high sensitivity, and low photon energy characteristics, combined with chemometrics and machine learning methods, provide an efficient solution for the qualitative and quantitative analysis of complex food ingredients. In this paper, we systematically review the principles of terahertz spectroscopy and its key applications in food testing, focusing on its research progress in pesticide residues, additives, biotoxins, and mold, adulteration identification, variety identification, and nutrient content detection. By integrating spectral data preprocessing, reconstruction algorithms, and machine learning model optimization strategies, this paper further analyzes the advantages and challenges of this technology in enhancing detection accuracy and efficiency. In addition, combined with the urgent demand for fast and nondestructive technology in the field of food detection, the future development direction of the deep integration of terahertz spectroscopy technology and artificial intelligence is envisioned, with a view to providing theoretical support and technical reference for food safety assurance and nutritional health research.https://www.mdpi.com/2304-8158/14/13/2199terahertz spectroscopyfood safety and qualitynon-destructive testingchemometricsmachine learning |
| spellingShingle | Jie Yang Xue Bai Mingji Wei Hui Jiang Leijun Xu Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review Foods terahertz spectroscopy food safety and quality non-destructive testing chemometrics machine learning |
| title | Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review |
| title_full | Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review |
| title_fullStr | Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review |
| title_full_unstemmed | Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review |
| title_short | Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review |
| title_sort | terahertz spectroscopy for food quality assessment a comprehensive review |
| topic | terahertz spectroscopy food safety and quality non-destructive testing chemometrics machine learning |
| url | https://www.mdpi.com/2304-8158/14/13/2199 |
| work_keys_str_mv | AT jieyang terahertzspectroscopyforfoodqualityassessmentacomprehensivereview AT xuebai terahertzspectroscopyforfoodqualityassessmentacomprehensivereview AT mingjiwei terahertzspectroscopyforfoodqualityassessmentacomprehensivereview AT huijiang terahertzspectroscopyforfoodqualityassessmentacomprehensivereview AT leijunxu terahertzspectroscopyforfoodqualityassessmentacomprehensivereview |