دورية أكاديمية
أعرض في EDS

A web-based microbiological hazard identification tool for infant foods.

التفاصيل البيبلوغرافية
العنوان: A web-based microbiological hazard identification tool for infant foods.
المؤلفون: Yeak KYC; Food Microbiology, Wageningen University & Research, Wageningen, The Netherlands., Dank A; Food Microbiology, Wageningen University & Research, Wageningen, The Netherlands., den Besten HMW; Food Microbiology, Wageningen University & Research, Wageningen, The Netherlands., Zwietering MH; Food Microbiology, Wageningen University & Research, Wageningen, The Netherlands. Electronic address: Marcel.Zwietering@wur.nl.
المصدر: Food research international (Ottawa, Ont.) [Food Res Int] 2024 Feb; Vol. 178, pp. 113940. Date of Electronic Publication: 2024 Jan 03.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Published on behalf of the Canadian Institute of Food Science and Technology by Elsevier Applied Science Country of Publication: Canada NLM ID: 9210143 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7145 (Electronic) Linking ISSN: 09639969 NLM ISO Abbreviation: Food Res Int Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Ottawa, Ontario, Canada : Published on behalf of the Canadian Institute of Food Science and Technology by Elsevier Applied Science, c1992-
مواضيع طبية MeSH: Food Handling*/methods , Food Safety*, Infant ; Child ; Humans ; Child, Preschool ; Infant Formula ; Edible Grain ; Internet
مستخلص: An integrated approach to identify and assess Microbiological Hazards (MHs) and mitigate risks in infant food chains is crucial to ensure safe foods for infants and young children. A systematic procedure was developed to identify MHs in specific infant foods. This includes five major steps: 1) relevant hazard-food pairing, 2) process inactivation efficiency, 3) recontamination possibility after processing, 4) MHs growth opportunity, and 5) MHs-food association level. These steps were integrated into an online tool called the Microbiological Hazards IDentification (MiID) decision support system (DSS), targeting food companies, governmental agencies and academia users, and is accessible at https://foodmicrobiologywur.shinyapps.io/Microbial_hazards_ID/. The MiID DSS was validated in four case studies, focussing on infant formula, fruit puree, cereal-based meals, and fresh fruits, each representing distinct products and processing characteristics. The results obtained through the application of the MiID DSS, compared with identification by food safety experts, consistently identified the top MHs in these food products. This process affirms its effectiveness in systematic hazard identification. The introduction of the MiID DSS helps to structure the first steps in HACCP (hazard analysis) and in risk assessment (hazard identification) to follow a structured and well-documented procedure, balancing the risk of overlooking relevant MHs or including too many irrelevant MHs. It is a valuable addition to risk analysis/assessment in infant food chains and has the potential for future extension. This includes the incorporation of newly acquired data related to infant foods via a semi-publicly hosted platform, or it can be adapted for hazard identification in general food products using a similar framework.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
فهرسة مساهمة: Keywords: Bacteria; Decision support system (DSS); Foodborne pathogen; Parasite; Risk analysis; Risk assessment; Virus; Young children
تواريخ الأحداث: Date Created: 20240203 Date Completed: 20240205 Latest Revision: 20240205
رمز التحديث: 20240205
DOI: 10.1016/j.foodres.2024.113940
PMID: 38309868
قاعدة البيانات: MEDLINE
الوصف
تدمد:1873-7145
DOI:10.1016/j.foodres.2024.113940