Applications of Hyperspectral Imaging and Chemometrics in Food Analysis
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Food Science and Technology".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 43
Special Issue Editors
Interests: chemometrics; vibrational spectroscopy; analytical chemistry; food characterization; food authentication; hyperspectral imaging; data fusion; process monitoring; liquid chromatography
Special Issue Information
Dear Colleagues,
In recent years, the combination of hyperspectral imaging and chemometrics has emerged as a powerful analytical approach that profoundly enhances food analysis. Hyperspectral imaging offers a non-destructive means of capturing detailed spatial and spectral information, providing comprehensive chemical and physical signatures of food products. The resulting rich dataset includes hundreds of contiguous wavelengths, enabling precise assessment of food quality, safety and authenticity. However, the complexity and high dimensionality of hyperspectral data present significant challenges in extracting meaningful information without advanced statistical and multivariate analysis techniques. Here, chemometrics plays a crucial role by enabling data preprocessing, feature extraction, pattern recognition and predictive modeling, transforming raw spectral data into actionable insights.
This Special Issue aims to bring together innovative research that exploits this synergy to develop robust methodologies for food quality evaluation, fraud detection, authentication and characterization. Contributions that explore novel algorithms, experimental designs, data fusion strategies or applications in diverse food matrices are particularly welcome. Both original research articles and comprehensive reviews addressing theoretical, methodological or applied aspects of this multidisciplinary field are encouraged.
We look forward to receiving your valuable submissions that advance the frontiers of food analysis through the integrated use of hyperspectral imaging and chemometrics.
Dr. Lorenzo Strani
Dr. Nicola Cavallini
Guest Editors
Manuscript Submission Information
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Keywords
- hyperspectral imaging
- chemometrics
- non-destructive detection
- food adulteration detection
- origin traceability
- quality monitoring
- spectral preprocessing
- feature wavelength selection
- deep learning
- hyperspectral image reconstruction
- spatial–spectral analysis
- freshness assessment
- grain drying monitoring
- liquid food authentication
- predictive modeling
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