Analytical Methods for Food Quality and Safety Analysis

A special issue of Separations (ISSN 2297-8739). This special issue belongs to the section "Analysis of Food and Beverages".

Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 539

Special Issue Editor


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Guest Editor
Department of Analytical Chemistry, Faculty of Sciences, University of Granada, Campus Fuentenueva s/n, E-18071 Granada, Spain
Interests: food safety; risk analysis; metabolomics; mass spectrometry; ion mobility spectrometry
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Special Issue Information

Dear Colleagues,

Food analysis represents a very challenging task, not only because of the wide range of complex combinations of macronutrients, water, and additives that make up different food products, but also because of the numerous objectives that it covers. From a general perspective, food analysis aims to 1) provide information on the nutritional content of foods to understand their benefits and risks to promote human health through a balanced diet; 2) ensure the reliable quality control of food processing to meet consumer demands; 3) protect the consumer from food fraud; and 4) guarantee food safety and traceability by complying with food and trade laws.

Nowadays, food analysis is gaining traction as it aims to understand the interactions of food with the environment and their consequences (i.e. large-scale production, organic production, environmental contamination, etc.). It can also provide information on how to improve health by incorporating functional foods, functional ingredients, and/or nutraceuticals into the diet.

In this framework, food analysis continuously demands appropriate methods to determine a wide range of compounds with different physico-chemical properties, but these must also provide robustness, high sensitivity, precision, specificity, and speed of analysis.

It is my pleasure to invite you to participate in the next Special Issue of Separations titled “Analytical Methods for Food Quality and Safety Analysis”, which covers the development and application of analytical methods in food analysis for achieving one or several of the abovementioned objectives.

Dr. Maykel Hernández-Mesa
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 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. Separations 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 2600 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

  • food analysis
  • food safety
  • food authentication
  • nutritional quality
  • food processing
  • functional food
  • nutraceuticals
  • mass spectrometry
  • sensors
  • sample preparation

Published Papers (1 paper)

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Research

16 pages, 3444 KiB  
Article
A Study of the Elemental Profiles of Wines from the North-Eastern Coast of the Black Sea
by Lev A. Oganesyants, Alexandr L. Panasyuk, Dmitriy A. Sviridov, Olesya S. Egorova, Dilyara R. Akbulatova, Mikhail Y. Ganin, Aleksey A. Shilkin and Alexandr A. Il’in
Separations 2024, 11(5), 148; https://doi.org/10.3390/separations11050148 - 11 May 2024
Viewed by 330
Abstract
Due to the increasing consumer interest in wines with a controlled place of origin, PGI (Protected Geographical Indication) and PDO (Protected Designation of Origin), the most acute question is how to identify them. One of the most effective ways to confirm the place [...] Read more.
Due to the increasing consumer interest in wines with a controlled place of origin, PGI (Protected Geographical Indication) and PDO (Protected Designation of Origin), the most acute question is how to identify them. One of the most effective ways to confirm the place of origin of wine in global practice is a comprehensive study of the elemental profile using statistical analysis methods. In the period from 2020 to 2023, 152 grape samples of grapes were collected from various wineries in Crimea and Kuban. The grape must that was obtained from them was fermented in laboratory conditions. The elemental profile was determined in the prepared wines, which included 71 indicators. In the conducted work, it was revealed that wines from Crimea and Kuban differ statistically significantly in the concentration of the elements B, Ca, Cu, Mn, Na, Ni, Re, Si, Sn and U. At the same time, the contents of the elements U, Sn and Re prevail in wines from Crimea, and those of B, Ca, Cu, Mn, Na, Ni and Si prevail in wines from Kuban. At the same time, methods of univariate and multivariate statistics do not allow us to reliably classify wine samples from Crimea and Kuban by their place of origin. In order to reveal the non-linear dependence of the studied indicators in wines on the geographical place of grape growing, the method of a supervised learning Random Forest was used. After training the model on the dataset, the proportion of its correct predictions was 96%. The model used 61 parameters, among which the most important were Ni, Re, Ba, Rb, Na, U, Sb, Zn, Bi, Ag and Ti. Full article
(This article belongs to the Special Issue Analytical Methods for Food Quality and Safety Analysis)
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