Spectroscopy, Imaging and Chemometric Modelling for Quality Analysis in Food and Drug Research
A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Analytical Methods, Instrumentation and Miniaturization".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 39
Special Issue Editors
Interests: chemometric modelling and multivariate/multi-way analysis (PLS-DA, N-PLS, MCR-ALS, data fusion); spectroscopy and imaging techniques (NIR, MIR, UV-Vis, fluorescence EEMs, Raman, hyperspectral imaging); development of portable/handheld analytical platforms; authentication and traceability of agro-food products; environmental monitoring and risk assessment (hydrocarbons, heavy metals, emerging contaminants); green and sustainable analytical chemistry and quality by design (QbD); integration of machine learning and multi-instrumental data in complex matrix analysis
Interests: chemometric modeling and multivariate/multi-way data analysis; higher-order data analysis; Spectroscopy and imaging techniques: NIR, MIR, UV–Vis, fluorescence EEMs, Raman, hyperspectral imaging; chromatographic separations (HPLC, UHPLC, LC×LC); analytical method development and instrumentation design; quantitative and descriptive data analysis; environmental and food monitoring and authentication; green and sustainable analytical chemistry; design of experiments (DoE) and multivariate optimization; algorithm and software development for analytical applications; data-driven approaches for quality control and non-targeted profiling
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Special Issue Information
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Chemosensors is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- spectroscopy
- imaging techniques
- non-destructive analysis
- portable/handheld devices
- green analytical chemistry
- chemometrics
- multivariate data analysis
- multi-way analysis
- data fusion
- machine learning
- pattern recognition
- quantitative/qualitative analysis
- food quality
- authentication
- drug quality control
- quality control and assurance
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