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Foods
Special Issues
Climate Change and Emerging Food Safety Challenges
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Climate Change and Emerging Food Safety Challenges

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

Deadline for manuscript submissions: 15 August 2025 | Viewed by 1308

Special Issue Editors

Dr. Jovana Kos

E-Mail Website
Guest Editor
Institute of Food Technology in Novi Sad, University of Novi Sad, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia
Interests: food and feed safety; mycotoxins; analytical methods; climate change; risk assessment
Dr. Jovanov Pavle

E-Mail Website
Guest Editor
Institute of Food Technology, University of Novi Sad, 21000 Novi Sad, Serbia
Interests: food safety; food contaminants; antinutrients; pesticides; mycotoxins; liquid chromatography; mass spectrometry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Over recent decades, climate change has emerged as a global concern, impacting various aspects of life, including agriculture, public health, and food safety. Altered climate patterns, extreme weather events, and rising global temperatures—including projections that 2024 may be the hottest year on record—pose significant risks to the food supply chain. These changes influence the occurrence and behavior of various biological and chemical contaminants, including pathogenic microorganisms, pesticides, and mycotoxins. Warmer temperatures and variations in humidity create favorable conditions for toxigenic fungi and pests, driving an increased reliance on pesticides and raising contamination risks. Additionally, climate change fosters the emergence of new or adapted pathogenic species, further challenging food safety and security. This Special Issue, Climate Change and Emerging Food Safety Challenges, will focus on the complex impacts of climate change on food safety, highlighting risks and proposing strategies to address these challenges. We encourage researchers to contribute original articles, reviews, and case studies to this crucial discussion.

Dr. Jovana Kos
Dr. Jovanov Pavle
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

  • food safety
  • climate change
  • pathogenic microorganisms
  • pesticides
  • mycotoxins
  • food supply chain
  • risk assessment
  • mitigation and adaptation approaches

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Published Papers (2 papers)

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Research

21 pages, 1369 KiB  
Article
Optimizing Cold Food Supply Chains for Enhanced Food Availability Under Climate Variability
by David Hernandez-Cuellar, Krystel K. Castillo-Villar and Fernando Rey Castillo-Villar
Foods 2025, 14(15), 2725; https://doi.org/10.3390/foods14152725 - 4 Aug 2025
Viewed by 359
Abstract
Produce supply chains play a critical role in ensuring fruits and vegetables reach consumers efficiently, affordably, and at optimal freshness. In recent decades, hub-and-spoke network models have emerged as valuable tools for optimizing sustainable cold food supply chains. Traditional optimization efforts typically focus [...] Read more.
Produce supply chains play a critical role in ensuring fruits and vegetables reach consumers efficiently, affordably, and at optimal freshness. In recent decades, hub-and-spoke network models have emerged as valuable tools for optimizing sustainable cold food supply chains. Traditional optimization efforts typically focus on removing inefficiencies, minimizing lead times, refining inventory management, strengthening supplier relationships, and leveraging technological advancements for better visibility and control. However, the majority of models rely on deterministic approaches that overlook the inherent uncertainties of crop yields, which are further intensified by climate variability. Rising atmospheric CO2 concentrations, along with shifting temperature patterns and extreme weather events, have a substantial effect on crop productivity and availability. Such uncertainties can prompt distributors to seek alternative sources, increasing costs due to supply chain reconfiguration. This research introduces a stochastic hub-and-spoke network optimization model specifically designed to minimize transportation expenses by determining optimal distribution routes that explicitly account for climate variability effects on crop yields. A use case involving a cold food supply chain (CFSC) was carried out using several weather scenarios based on climate models and real soil data for California. Strawberries were selected as a representative crop, given California’s leading role in strawberry production. Simulation results show that scenarios characterized by increased rainfall during growing seasons result in increased yields, allowing distributors to reduce transportation costs by sourcing from nearby farms. Conversely, scenarios with reduced rainfall and lower yields require sourcing from more distant locations, thereby increasing transportation costs. Nonetheless, supply chain configurations may vary depending on the choice of climate models or weather prediction sources, highlighting the importance of regularly updating scenario inputs to ensure robust planning. This tool aids decision-making by planning climate-resilient supply chains, enhancing preparedness and responsiveness to future climate-related disruptions. Full article
(This article belongs to the Special Issue Climate Change and Emerging Food Safety Challenges)
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16 pages, 2549 KiB  
Article
Development of an Integrated Multifunctional Column for Rapid Pretreatment and Determination of Trichothecenes in Cereals and Feeds with HPLC-MS/MS
by Sisi Liu, Yu Wu, Tongtong Liu, Jin Ye, Li Li, Xiao Guan and Songxue Wang
Foods 2025, 14(9), 1466; https://doi.org/10.3390/foods14091466 - 23 Apr 2025
Viewed by 573
Abstract
The frequent detection of trichothecenes in grains highlights critical health risks to humans and animals. Based on the hybrid sorbent strategies, this study developed an innovative multifunctional column (ASAG563) integrating extraction, purification, and filtration to address limitations of existing methods, including cumbersome process, [...] Read more.
The frequent detection of trichothecenes in grains highlights critical health risks to humans and animals. Based on the hybrid sorbent strategies, this study developed an innovative multifunctional column (ASAG563) integrating extraction, purification, and filtration to address limitations of existing methods, including cumbersome process, protracted duration, harmful to the environment, and significant matrix interference. Coupled with high-performance liquid chromatography–tandem mass spectrometry (HPLC-MS/MS), the ASAG563 column demonstrated superior recoveries (80.8–117.8%) and quantification limits (2.02~48.41 µg/kg) across cereals and feeds, with low relative standard deviations (<6.8%). Compared to commercial MFCs, the ASAG563 column simplified the process, reduced material consumption, saved 50% of analysis time, and effectively eliminated matrix effects. Analysis of 512 maize for feedstuff samples from Northeast China revealed significant contaminations with deoxynivalenol (DON) and its derivatives, emphasizing the necessity for enhanced regulatory measures. This novel integrated multifunctional pretreatment column presents a convenient, cost-effective, and eco-friendly solution for accurate TCT detection, significantly advancing analytical capabilities. Full article
(This article belongs to the Special Issue Climate Change and Emerging Food Safety Challenges)
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