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Novel Detection Approaches of Biological and Non-Biological Risk Factors in...
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Novel Detection Approaches of Biological and Non-Biological Risk Factors in Foods—2nd Edition

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

Deadline for manuscript submissions: 30 November 2025 | Viewed by 1720

Special Issue Editors

Dr. Xiangfeng Zheng

E-Mail Website
Guest Editor
School of Food Science and Engineering, Yangzhou university, Yangzhou 225127, China
Interests: agricultural pathogens; mycotoxins; biocontrol
Special Issues, Collections and Topics in MDPI journals
Dr. Bo Wang

E-Mail Website
Guest Editor
Department of Food Science & Engineering, Yangzhou University, Yangzhou, China
Interests: food safety; rapid detection technology; animal-derived food; veterinary residues; foodborne pathogens
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Food contaminants include biological and non-biological risk factors, such as foodborne pathogens, mycotoxins, heavy metals, pesticides, veterinary drugs, and illegal additives, which pose serious threats to public health and food safety. Developing quick and sensitive detection methods to determine food contaminants is necessary. Instrumental techniques, such as liquid chromatography (LC), gas chromatography (GC), LC–tandem mass spectrometry (MS/MS), and GC–MS/MS, have become well established in food analysis. Additionally, instrument analysis usually requires a combination of sample preparation methods, including solid-phase extraction, QuEChERS, and accelerated solvent extraction. Meanwhile, polymerase chain reaction (PCR), enzyme-linked immunosorbent assay (ELISA), and biosensors supplement the instruments, providing new methods for rapidly detecting food contaminants. Establishing a novel, quick, and sensitive detection method provides new technical support and theoretical basis for detecting food contaminants, which is significant in ensuring food safety. Therefore, this Special Issue aims to publish the latest research on novel detection approaches for biological and non-biological risk factors in foods, which involve instrument methods, PCR, ELISA, and biosensors to detect food contaminants. Additionally, reviews of different detection methods for food contaminants are also welcome.

Dr. Xiangfeng Zheng
Dr. Bo Wang
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

  • pesticides
  • veterinary drugs
  • mycotoxins
  • foodborne pathogens
  • illegal additives
  • instrumental analysis methods
  • biosensor
  • ELISA
  • PCR

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Published Papers (3 papers)

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Research

16 pages, 11917 KB  
Article
Untargeted Metabolomics Uncovers Food Safety Risks: Polystyrene Nanoplastics Induce Metabolic Disorders in Chicken Liver
by Xuan Hu, Yinyin Liu, Yinpeng Ma, Jing Zhang, Lina Ma, Wanqiang Chen, Xiujun Tang, Junxian Lu, Lingzhi Chen, Guodong Cai, Jianchun Bian and Yushi Gao
Foods 2025, 14(16), 2781; https://doi.org/10.3390/foods14162781 - 10 Aug 2025
Viewed by 472
Abstract
Polystyrene nanoplastics (NPs) threaten agricultural ecosystems and the food chain; however, their hepatotoxicity in chickens, a key poultry species, remains unclear. This study investigated the effects of chronic NP exposure on hepatic metabolism to evaluate food safety risks in poultry products. Chickens were [...] Read more.
Polystyrene nanoplastics (NPs) threaten agricultural ecosystems and the food chain; however, their hepatotoxicity in chickens, a key poultry species, remains unclear. This study investigated the effects of chronic NP exposure on hepatic metabolism to evaluate food safety risks in poultry products. Chickens were orally exposed to 100 nm polystyrene NPs via feed for 120 days. Histopathological evaluation, serum biochemical analysis revealed hepatotoxicity in NP-exposed poultry, characterized by histopathological liver injury, elevated lipid droplet accumulation, significantly increased alanine aminotransferase (ALT) activity, and elevated triglyceride (TG) levels (p < 0.05). Untargeted LC-MS/MS Metabolomics profiling identified 193 differentially abundant metabolites—predominantly organic acids and lipids—with L-leucine and NADH emerging as pivotal metabolic hubs. A KEGG pathway analysis demonstrated significant enrichment in purine metabolism and oxidative phosphorylation, while a gene set enrichment analysis (GSEA) confirmed the suppression of ABC transporters. Notably, the key biomarkers 9-cis-retinal and phenylalanyl phenylalanine were significantly altered, reflecting metabolic disturbances linked to NPs exposure. Overall, this study characterized exposure-associated metabolic signatures and established NP-induced hepatic injury phenotypes in poultry production systems. Full article
(This article belongs to the Special Issue Novel Detection Approaches of Biological and Non-Biological Risk Factors in Foods—2nd Edition)
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18 pages, 8882 KB  
Article
Development and Validation of QuEChERS Extraction Coupled with Ultrahigh-Performance Liquid Chromatography–Tandem Mass Spectrometry for the Detection of Nine Macrolides in Fish Products
by Changhua Sun, Yue Ma, Jia Yang, Xubin Lu, Shuai Wang, Xiangfeng Zheng, Zhenquan Yang, Li Xu and Bo Wang
Foods 2025, 14(16), 2768; https://doi.org/10.3390/foods14162768 - 8 Aug 2025
Viewed by 585
Abstract
Veterinary drug residues in aquatic products are often overlooked, yet they pose significant environmental risks and potential threats to human health. In this study, a rapid and sensitive analytical method was developed for the simultaneous determination of nine commonly used macrolide antibiotics in [...] Read more.
Veterinary drug residues in aquatic products are often overlooked, yet they pose significant environmental risks and potential threats to human health. In this study, a rapid and sensitive analytical method was developed for the simultaneous determination of nine commonly used macrolide antibiotics in largemouth bass (Micropterus salmoides) muscle using ultrahigh-performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS). Sample extraction was performed using 80% acetonitrile in water, followed by purification with Cleanert MAS-Q cartridges. Chromatographic separation was achieved on a Waters ACQUITY UPLC BEH C18 column (50 mm × 2.1 mm; 1.7 μm), equipped with a Waters VanGuardTM BEH C18 guard column (1.7 μm), using a mobile phase consisting of 0.1% formic acid in water and 0.1% formic acid in acetonitrile. Mass spectrometric detection was conducted in positive electrospray ionization mode (ESI+) using multiple reaction monitoring (MRM). The method demonstrated excellent linearity in the concentration range of 0.2–30 ng/mL, with determination coefficients (R2) exceeding 0.9980 for all analytes. Average recoveries ranged from 89.3% to 108.4%, with intraday and interday relative standard deviations (RSDs) of 2.9–11.6% and 4.1–12.5%, respectively. The limits of detection (LOD) and quantification (LOQ) for largemouth bass muscle were determined to be 0.4 μg/kg and 2.0 μg/kg, respectively. The decision limits (CCα) and detection capabilities (CCβ) ranged from 2.13 to 215.71 μg/kg and 2.22 to 231.42 μg/kg, respectively. The developed method was successfully applied to the quantitative analysis of macrolide residues in 20 largemouth bass samples collected from local markets. Full article
(This article belongs to the Special Issue Novel Detection Approaches of Biological and Non-Biological Risk Factors in Foods—2nd Edition)
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22 pages, 3291 KB  
Article
Matrix Interference Removal Using Fe3O4@SiO2-PSA-Based Magnetic Dispersive Solid-Phase Extraction for UPLC-MS/MS Analysis of Diazepam in Aquatic Products
by Mengqiong Yang, Guangming Mei, Daoxiang Huang, Xiaojun Zhang, Pengfei He and Si Chen
Foods 2025, 14(14), 2421; https://doi.org/10.3390/foods14142421 - 9 Jul 2025
Viewed by 453
Abstract
A sensitive method was developed for detecting diazepam residues in aquatic products using magnetic dispersive solid-phase extraction (MDSPE) coupled with ultra-performance liquid chromatography–tandem mass spectrometry (UPLC-MS/MS). Samples extracted with 1% ammonia–acetonitrile were purified using synthesized Fe3O4@SiO2-PSA nanoparticles [...] Read more.
A sensitive method was developed for detecting diazepam residues in aquatic products using magnetic dispersive solid-phase extraction (MDSPE) coupled with ultra-performance liquid chromatography–tandem mass spectrometry (UPLC-MS/MS). Samples extracted with 1% ammonia–acetonitrile were purified using synthesized Fe3O4@SiO2-PSA nanoparticles via MDSPE before UPLC-MS/MS analysis. Separation was performed on a C18 column with gradient elution using 0.1% formic acid–2 mM ammonium acetate/methanol. Detection employed positive electrospray ionization (ESI+) in multiple reaction monitoring (MRM) mode. Characterization confirmed Fe3O4@SiO2-PSA’s mesoporous structure with excellent adsorption capacity and magnetic properties. The method showed good linearity (0.1–10 μg/L, r > 0.99) with an LOD and LOQ of 0.20 μg/kg and 0.50 μg/kg, respectively. Recoveries at 0.5–15.0 µg/kg spiking levels were 74.9–109% (RSDs 1.24–11.6%). This approach provides rapid, accurate, and high-precision analysis of diazepam in aquatic products, meeting regulatory requirements. Full article
(This article belongs to the Special Issue Novel Detection Approaches of Biological and Non-Biological Risk Factors in Foods—2nd Edition)
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