Spectroscopy and Chemometrics Applied in Food Authentication and Quality Evaluation
A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Analytical Methods".
Deadline for manuscript submissions: 15 May 2025 | Viewed by 4364
Special Issue Editors
Interests: food authenticity; food traceability; VOCs; heavy isotopes; data analysis; chemometrics; analytical chemistry
Special Issues, Collections and Topics in MDPI journals
Interests: food process monitoring; VOCs; chemometrics; process analytical technology (PAT); sensing techniques; multivariate statistical process control (MSPC)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, the importance of analytical tools that can objectively guarantee the quality and authenticity of food products cannot be underestimated. In this context, the use of chemometrics and spectroscopy plays a fundamental role. While spectroscopic techniques allow for obtaining signals rich in information on the chemical composition of a food product, and therefore related to its quality, they also provide a real digital fingerprint, which can be used to univocally identify a sample. However, the use of chemometrics in processing spectroscopic data cannot be overlooked. Indeed, handling, fusing, and interpreting data is difficult, as it is not possible to rapidly extract useful information from spectra without proper statistical tools. Furthermore, authenticity models require optimized analytical methodologies, significant sampling, and validation of the built model. All these aspects can only be correctly handled with the use of chemometrics techniques.
We are pleased to invite you to contribute your valuable work to this Special Issue on “Spectroscopy and Chemometrics Applied in Food Authentication and Quality Evaluation”.
This Special Issue aims to collect papers focused on developing novel analytical methodologies able to guarantee the quality and authenticity of food. In this context, the synergistic use of the spectroscopic characterization of food and chemometrics analysis could provide significant support for the development of these methodologies, given the multivariate nature of spectroscopic fingerprints. In this Special Issue, original research articles and reviews are welcome. In the field of food analysis, research areas may include spectroscopy, chemometrics, experimental design, hyphenated methods, food quality, fraud detection, authentication/characterization, and deep learning.
We look forward to receiving your contributions.
Dr. Caterina Durante
Guest Editor
Dr. Lorenzo Strani
Guest Editor Assistant
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. Foods is an international peer-reviewed open access semimonthly 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 2900 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
- chemometrics
- experimental design
- hyphenated methods
- food quality
- fraud detection
- authentication/characterization
- deep learning
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