Research Progress on Honey Adulteration and Classification
A special issue of Foods (ISSN 2304-8158).
Deadline for manuscript submissions: 31 July 2025 | Viewed by 604
Special Issue Editors
Interests: food analysis and authentication; honey analytics; mass spectrometry; liquid chromatography; gas chromatography; vibrational spectroscopy; chemometrics
Special Issues, Collections and Topics in MDPI journals
Interests: food chemistry; food analysis; electroanalysis; material science; environmental analysis; ICP-MS
Special Issues, Collections and Topics in MDPI journals
Interests: food authentication; beverage; IRMS; vibrational spectroscopy; metabolomics; AI-based omics
Special Issues, Collections and Topics in MDPI journals
Interests: bioactive compounds; functional ingredients; circular economy; green extraction techniques; high-performance liquid chromatography; mass spectrometry; digestion; absorption; bioavailability; metabolomics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The honey market is one of the most affected markets by the illegal practices of adulteration and counterfeiting. In fact, the number of reported cases concerning the presence of honeys adulterated with exogenous sugars in the market and the falsification of botanical and/or geographical origin continues to increase. This trend, which somehow reveals a risk for the consumers, is also strongly affecting beekeepers who are unable to compete with the presence of cheap and poor-quality honey in the market. All these considerations underpin the urgent need for a rapid change in strategy in the analytical control of honeys in order to monitor the large number of samples on the market in terms of authenticity and traceability.
This Special Issue aims at collecting original papers regarding the development and the application of original analytical methods for the detection and quantification of adulterants in honeys, together with strategies for the classification of botanical and geographical origin. Special attention will be devoted to the combination of untargeted approaches with data science-based methods and the identification of markers of origin and characterizations of poorly studied honey varieties.
Dr. Marco Ciulu
Dr. Gavino Sanna
Dr. Dana-Alina Magdas
Dr. Isabel Borrás-Linares
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. 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
- honey authentication
- honey classification
- mass spectrometry
- vibrational spectroscopy
- NMR
- chromatography
- electroanalysis
- AI
- AI-based omics
- chemometrics
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