Advances of Spectrometric Techniques in Food Analysis and Authentication

Dear Colleagues,

The food industry and consumers demand for tools that can assure the quality (e.g., composition) and origin of foods (e.g., authenticity, fraud, provenance) in both the supply and value chains, have increased during the past decades.  Although there have been advances and improvements in instrumentation, and techniques that have excellent analytical capabilities, some of these methods are considered time consuming and expensive.  These issues have encouraged developments in the utilization of a wide range of spectrometric techniques, such as vibrational spectroscopy and data analytics. 

This Special Issue seeks articles (e.g., short reviews, reviews, case studies) demonstrating recent progress in spectrometry techniques, including NIR, MIR, hyperspectral, Raman, UV-VIS, machine learning in food analytics and authentication applications (e.g., fraud, provenance, traceability).  Articles focusing on novel device technologies, miniaturization, machine learning or the application of these technologies for the characterization of food products are also welcomed.

Dr. Daniel Cozzolino
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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.