Food Contaminant Detection, Analysis and Risk Assessment

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Toxicology".

Deadline for manuscript submissions: 6 July 2024 | Viewed by 2029

Special Issue Editor


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Guest Editor
Institute of Quality Standardization & Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, China
Interests: food safety; food contaminant detection; rapid testing method; food quality control

Special Issue Information

Dear Colleagues,

Chemical contaminants, such as pesticides, veterinary drugs, mycotoxins, persistent organic pollutants (POPs), dioxins, and heavy metal ions, pollute foods and pose serious risks to humans.

Therefore, developing methods to detect chemical hazards and to evaluate their adverse effect on human health is crucial. In recent years, various analysis methods, such as high-performance liquid chromatography, chromatography–mass spectrometry, biological detection, electrochemical and optical sensors, and enzyme and immunological assays, have been developed successively for food contaminants testing. Additionally, risk assessments for food contaminants, based on the identification of potential food hazards; the evaluation of population exposure; and the determination of safe levels are methods that have also received increasing attention due to their potential to prevent any impacts on citizen health.

This Special Issue welcomes original scientific articles and quality reviews that explore topics such as novel methods for contaminant rapid detection, food safety analysis, as well as risk assessments for classical and emerging chemical hazards. 

Dr. Miao Wang
Guest Editor

Manuscript Submission Information

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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

  • food safety 
  • food contaminant detection 
  • pesticides 
  • veterinary drugs 
  • mycotoxins 
  • persistent organic pollutants (POPs) 
  • heavy metals 
  • food analysis 
  • chemical hazards 
  • risk assessment

Published Papers (1 paper)

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Research

12 pages, 4310 KiB  
Article
A Colorimetric Sensor Enabled with Heterogeneous Nanozymes with Phosphatase-like Activity for the Residue Analysis of Methyl Parathion
by Fengnian Zhao, Mengyue Li, Li Wang and Min Wang
Foods 2023, 12(15), 2980; https://doi.org/10.3390/foods12152980 - 7 Aug 2023
Cited by 4 | Viewed by 1366
Abstract
In this study, a colorimetric sensor was developed for the detection of organophosphorus pesticides (OPs) using a heterogeneous nanozyme with phosphatase-like activity. Herein, this heterogeneous nanozyme (Au-pCeO2) was obtained by the modification of gold nanoparticles on porous cerium oxide nanorods, resulting [...] Read more.
In this study, a colorimetric sensor was developed for the detection of organophosphorus pesticides (OPs) using a heterogeneous nanozyme with phosphatase-like activity. Herein, this heterogeneous nanozyme (Au-pCeO2) was obtained by the modification of gold nanoparticles on porous cerium oxide nanorods, resulting in synergistic hydrolysis performance for OPs. Taking methyl parathion (MP) as the target pesticide, the catalytic performance and mechanism of Au-pCeO2 were investigated. Based on the phosphatase-like Au-pCeO2, a dual-mode colorimetric sensor for MP was put forward by the analysis of the hydrolysis product via a UV-visible spectrophotometer and a smartphone. Under optimum conditions, this dual-mode strategy can be used for the on-site analysis of MP with concentrations of 5 to 200 μM. Additionally, it can be applied for MP detection in pear and lettuce samples with recoveries ranging from 85.27% to 115.87% and relative standard deviations (RSDs) not exceeding 6.20%, which can provide a simple and convenient method for OP detection in agricultural products. Full article
(This article belongs to the Special Issue Food Contaminant Detection, Analysis and Risk Assessment)
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