Application of Spectroscopy and Chemometrics in Food Analysis
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".
Deadline for manuscript submissions: 14 September 2026 | Viewed by 712
Editor
Special Issue Information
Dear Colleagues,
The increasing complexity of modern food systems, driven by globalized supply chains, authenticity challenges, and heightened consumer expectations for safety and sustainability, demands rapid, reliable, and non-destructive analytical approaches. Conventional laboratory-based methods, although accurate, are often time-consuming, labor-intensive, and unsuitable for real-time or on-site applications. In this context, spectroscopic technologies have emerged as powerful alternatives, enabling fast, environmentally friendly, and cost-effective assessment of food quality and composition with minimal sample preparation.
Vibrational spectroscopy techniques, including FTIR, NIR, MIR, Raman spectroscopy, and hyperspectral imaging, when integrated with chemometric modeling, multivariate analysis machine learning and artificial intelligence algorithms provide advanced solutions for interpreting complex food matrices. These approaches facilitate authentication, adulteration detection, traceability, process monitoring, and shelf-life prediction while supporting sustainable and digitalized food production systems. Portable and handheld spectroscopic devices further expand the potential for in-field and at-line applications across the farm-to-fork chain.
This Special Issue aims to gather high-quality original research articles, reviews, and methodological papers that present recent advances, innovative applications, and data-driven strategies combining spectroscopy, chemometrics and artificial intelligence models for food analysis. Contributions addressing both fundamental developments and practical industrial implementations are particularly welcome.
Topics of interest include, but are not limited to, the following:
- FTIR, NIR, MIR, and Raman spectroscopy in food analysis
- Hyperspectral and multispectral imaging
- Chemometrics and multivariate data analysis
- Machine learning and artificial intelligence for spectral data
- Food authenticity, fraud, and adulteration detection
- Quality control and process analytical technology (PAT)
- Shelf-life prediction and freshness monitoring
- Portable/handheld and on-site sensing technologies
- Non-destructive and green analytical methods
- Traceability and food integrity assessment
- Applications in agricultural products and sustainable food systems
Dr. Nur Çebi
Guest Editor
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Keywords
- chemometrics
- vibrational spectroscopy
- FTIR
- NIR
- Raman
- hyperspectral imaging
- food authenticity
- food integrity
- non-destructive analysis
- machine learning
- multivariate analysis
- rapid screening
- portable sensors
- process monitoring
- sustainable food systems
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