Spectroscopy, Imaging and Chemometric Modelling for Quality Analysis in Food and Drug Research

Dear Colleagues,

The integration of spectroscopic and imaging techniques with advanced chemometric modelling is reshaping strategies for quality analysis in food and drug research. These approaches enable the rapid, non-destructive, and reliable characterization of complex matrices, supporting the verification of authenticity, detection of adulterants, monitoring of processing conditions, and assessment of bioactive compounds and stability.

This Special Issue aims to present cutting-edge research on methodological developments and practical applications of spectroscopy (e.g., NIR, MIR, UV–Vis, fluorescence, Raman, and hyperspectral spectroscopy) combined with multivariate analysis, machine learning, and multi-way approaches. We welcome original research and reviews that address fundamental chemometric innovations, data fusion strategies, and novel workflows designed to enhance the accuracy, interpretability, and robustness of models.

Particular emphasis will be given on studies demonstrating real-world applications in food authentication, functional food development, drug quality assurance, and pharmaceutical analysis. By fostering interdisciplinary dialogue, this Special Issue will provide a platform for researchers to showcase sustainable and accessible analytical solutions, bridging the gap between laboratory research and industrial implementation.

Dr. Silvana Mariela Azcarate
Dr. Mirta Raquel Alcaraz
Guest Editors

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