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Innovative Methods for the Detection of Food Contaminants

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Toxicology and Public Health".

Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 11453

Special Issue Editors


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Guest Editor
Istituto Zooprofilattico Sperimentale della Sicilia, 90129 Palermo, Italy
Interests: food chemistry; analytical methods
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Assistant Guest Editor
Department of Analytical Chemistry, Nutrition and Bromatology, Faculty of Veterinary Science, University of Santiago de Compostela, 27002 Lugo, Spain
Interests: food safety; analytical chemistry; food microbiology; antimicrobial resistant bacteria; food-borne pathogens; transcriptomics; genotyping; chromatography; mass spectrometry; biofilms; antimicrobial detection; microbiome
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Assistant Guest Editor
Department of Life Sciences, University of Modena and Reggio Emilia, 41121 Modena, Italy
Interests: food safety; food security; parasitology
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Assistant Guest Editor
Istituto Zooprofilattico Sperimentale della Sicilia, 90129 Palermo, Italy
Interests: seafood analysis; shelf life; parasitology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The worldwide increase in food demand has simultaneously led to an increase in consumer attention towards their toxicological characterization. However, there are currently critical issues related to the obsolescence of analytical methods in the field of food chemistry and toxicology.

Therefore, this Special Issue focuses on recent advances in food analysis regarding the optimization and validation of rapid and innovative analytical methodologies, which include the extraction, isolation, and quantification of contaminants in different food matrices.

Manuscripts devoted to procedures that can determine various analytes simultaneously are especially welcome. Detailed reviews on analytical methods for the detection of food contaminants are also welcome. This Special Issue also encourages the submission of research papers on the use of 1H NMR for the detection of food contaminants. We welcome different types of manuscript submissions, including original research articles and up-to-date reviews.

Dr. Vincenzo Ferrantelli
Prof. Dr. Carlos M. Franco
Dr. Nicola Cicero
Prof. Dr. Andrea Pulvirenti
Dr. Gaetano Cammilleri
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. International Journal of Environmental Research and Public Health 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 2500 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

  • analytical chemistry
  • toxic substances
  • food contaminants

Published Papers (3 papers)

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Research

17 pages, 1215 KiB  
Article
QuEChERS LC–MS/MS Screening Method for Mycotoxin Detection in Cereal Products and Spices
by Licia Pantano, Ladislao La Scala, Francesco Olibrio, Francesco Giuseppe Galluzzo, Carmelo Bongiorno, Maria Drussilla Buscemi, Andrea Macaluso and Antonio Vella
Int. J. Environ. Res. Public Health 2021, 18(7), 3774; https://doi.org/10.3390/ijerph18073774 - 4 Apr 2021
Cited by 41 | Viewed by 4533
Abstract
We developed and validated a screening method for mycotoxin analysis in cereal products and spices. Ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC–MS/MS) was used for the analysis. Dispersive solid-phase extractions (d-SPEs) were used for the extraction of samples. Ochratoxin A (OTA), [...] Read more.
We developed and validated a screening method for mycotoxin analysis in cereal products and spices. Ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC–MS/MS) was used for the analysis. Dispersive solid-phase extractions (d-SPEs) were used for the extraction of samples. Ochratoxin A (OTA), zearalenone (ZEA), aflatoxins (AFLA; AFB1, AFB2, AFG1, AFG2), deoxynivalenol (DON), fumonisin (FUMO; FB1, FB2, FB3), T2, and HT2 were validated in maize. AFLA and DON were validated in black pepper. The method satisfies the requirements of Commission Regulation (EC) no. 401/2006 and (EC) no. 1881/2006. The screening target concentration (STC) was under maximum permitted levels (MLs) for all mycotoxins validated. The method’s performance was assessed by two different proficiencies and tested with 100 real samples. Full article
(This article belongs to the Special Issue Innovative Methods for the Detection of Food Contaminants)
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12 pages, 2187 KiB  
Communication
Determination of Colistin B in Chicken Muscle and Egg Using Ultra-High-Performance Liquid Chromatography–Tandem Mass Spectrometry
by Harsh Kumar, Dinesh Kumar, Eugenie Nepovimova, Dasharath Oulkar, Anil Kumar, Ramiz Mohammad Rafi Azad, Subodh Kumar Budakoti, Navneet Kumar Upadhyay, Rachna Verma and Kamil Kuča
Int. J. Environ. Res. Public Health 2021, 18(5), 2651; https://doi.org/10.3390/ijerph18052651 - 6 Mar 2021
Cited by 13 | Viewed by 3076
Abstract
Colistin, an imperative member of the polymyxin group, is a cationic peptide antibiotic. Itis also known as polymyxin E, but this peptide antibiotic has been forbidden for human consumption due to its high toxicity. Regrettably, this antibiotic is utilized as a feed additive [...] Read more.
Colistin, an imperative member of the polymyxin group, is a cationic peptide antibiotic. Itis also known as polymyxin E, but this peptide antibiotic has been forbidden for human consumption due to its high toxicity. Regrettably, this antibiotic is utilized as a feed additive and veterinary drug for animals. Due to the toxicity of colistin, the presence of its residue in the animal system represents a threat to human health regarding the consumption of meat, especially chicken. A novel method was proposed for quantifying colistin B in chicken muscles and eggs using ultra-high-performance liquid chromatography–tandem mass spectrometry (UHPLC–MS/MS). In this method, extraction of colistin B from samples was achieved by mixing the sample with acidified methanol:water (1/1, v/v), followed by centrifugation and filtration by a membrane filter excluding solid-phase extraction (SPE) clean up, as well as evaporation steps. The analysis was conducted by optimized liquid chromatography–tandem mass spectrometry (LC–MS/MS), and method performance was assessed in terms of the limit of quantitation, specificity, selectivity, precision, linearity and recovery in coherence with the guidelines of SANTE and the Commission Decision 2002/657/EC. The result obtained from the study showed the limit of quantitation (LOQ) as 10 µg Kg−1 for muscles and 5 µg Kg−1 for eggs, with acceptable recoveries along with precision. The linearity was plotted in the range of 5–25 µg L−1 (solvent) for egg and 10–50 µg Kg−1 (matrix-matched) for muscles. The result of average recoveries showed the value of 70–94% (3.3–12% relative standard deviation (RSD)) for chicken muscles and 88–107% (2.5–18.6% RSD) for egg samples, which meets the criteria for acceptability of method according to both SANTE and 2002/657/EC guidelines. This proposed protocol provides a cost-effective solution for food testing labs by reducing the cost of the sample preparation by 60% along with the time required for SPE cleanup. Further, the optimized method was also tested on real samples collected from nearby provinces in Solan city, Himachal Pradesh, India, and three out of 20 muscles were found to have colistin B in the range of 50–560 µg Kg−1. Full article
(This article belongs to the Special Issue Innovative Methods for the Detection of Food Contaminants)
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11 pages, 1090 KiB  
Article
Development of a Rapid and Eco-Friendly UHPLC Analytical Method for the Detection of Histamine in Fish Products
by Antonello Cicero, Francesco Giuseppe Galluzzo, Gaetano Cammilleri, Andrea Pulvirenti, Giuseppe Giangrosso, Andrea Macaluso, Antonio Vella and Vincenzo Ferrantelli
Int. J. Environ. Res. Public Health 2020, 17(20), 7453; https://doi.org/10.3390/ijerph17207453 - 13 Oct 2020
Cited by 12 | Viewed by 3088
Abstract
We developed, validated, and confirmed with proficiency tests a fast ultra-high-performance liquid chromatography with diode array detector (UHPLC-DAD) method to determine histamine in fish and fishery products. The proposed method consists of two successive solid–liquid extractions: one with a dilute solution of perchloric [...] Read more.
We developed, validated, and confirmed with proficiency tests a fast ultra-high-performance liquid chromatography with diode array detector (UHPLC-DAD) method to determine histamine in fish and fishery products. The proposed method consists of two successive solid–liquid extractions: one with a dilute solution of perchloric acid (6%) and the second only with water. The instrumental analysis with UHPLC provides a very fast run time (only 6 min) with a retention time of approximately 4 min, a limit of quantification (LOQ) of 7.2 mg kg−1, a limit of detection (LOD) of 2.2 mg kg−1, a recovery around 100%, a relative standard deviation (RSD%) between 0.5 and 1.4, and an r2 of calibration curve equal to 0.9995. The method detected optimal values of the validation parameters and required a limited number of reagents in comparison to other methods reported in the literature. Furthermore, the method could detect histamine in a very short time compared with other methods. This method, in addition to being validated, precise, specific, and accurate, avoids wasting time, money, and resources, and limits the use of organic solvents. Full article
(This article belongs to the Special Issue Innovative Methods for the Detection of Food Contaminants)
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