• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

推进微生物风险评估:检测技术演变的视角

Advancing microbial risk assessment: perspectives from the evolution of detection technologies.

作者信息

Xiao Linlin, Li Zhao, Dou Xin, Long Yulin, Li Zhuosi, Liu Yangtai, Dong Qingli

机构信息

Department of Laboratory Medicine, Affiliated Sixth People's Hospital South Campus, Shanghai Jiaotong University, Shanghai, China.

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.

出版信息

NPJ Sci Food. 2025 Jul 28;9(1):157. doi: 10.1038/s41538-025-00527-3.

DOI:10.1038/s41538-025-00527-3
PMID:40721600
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12304167/
Abstract

Microbial contamination threatens food safety, and traditional microbial risk assessment methods struggle with complex supply chains and microbial diversity. This paper reviews emerging detection technologies' applications in food safety, highlighting their role in advancing risk assessment and future research directions.

摘要

微生物污染威胁食品安全,而传统的微生物风险评估方法在面对复杂的供应链和微生物多样性时存在困难。本文综述了新兴检测技术在食品安全中的应用,强调了它们在推进风险评估方面的作用以及未来的研究方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feb2/12304167/5bda64e08da3/41538_2025_527_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feb2/12304167/48a7e3049fbb/41538_2025_527_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feb2/12304167/7175ccbb53a7/41538_2025_527_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feb2/12304167/5bda64e08da3/41538_2025_527_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feb2/12304167/48a7e3049fbb/41538_2025_527_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feb2/12304167/7175ccbb53a7/41538_2025_527_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feb2/12304167/5bda64e08da3/41538_2025_527_Fig3_HTML.jpg

相似文献

1
Advancing microbial risk assessment: perspectives from the evolution of detection technologies.推进微生物风险评估:检测技术演变的视角
NPJ Sci Food. 2025 Jul 28;9(1):157. doi: 10.1038/s41538-025-00527-3.
2
Recent Advancements in Wearable Hydration-Monitoring Technologies: Scoping Review of Sensors, Trends, and Future Directions.可穿戴式水合监测技术的最新进展:传感器、趋势及未来方向的范围综述
JMIR Mhealth Uhealth. 2025 Jun 13;13:e60569. doi: 10.2196/60569.
3
Microplastic contamination in agricultural soils from mulch films and organic amendments: Transformation mechanism, soil-Biota toxicity, and future perspectives.地膜和有机改良剂导致农业土壤中的微塑料污染:转化机制、土壤生物毒性及未来展望
Waste Manag. 2025 Aug;205:115032. doi: 10.1016/j.wasman.2025.115032. Epub 2025 Jul 21.
4
Application of protein modeling and molecular simulation techniques in the field of food microbial contamination: principles, research status and future prospects.
Crit Rev Food Sci Nutr. 2025 Jul 2:1-16. doi: 10.1080/10408398.2025.2519709.
5
Future perspectives of GMO detection in agriculture: strategies for electrochemical nucleic acid detection.农业中转基因生物检测的未来展望:电化学核酸检测策略
Mikrochim Acta. 2025 Jun 26;192(7):457. doi: 10.1007/s00604-025-07267-x.
6
Innovations in cancer treatment: evaluating drug resistance with lab-on-a-chip technologies.癌症治疗的创新:使用芯片实验室技术评估耐药性。
Int J Pharm. 2025 Jul 5:125936. doi: 10.1016/j.ijpharm.2025.125936.
7
Quantum dots as advanced nanomaterials for food quality and safety applications: A comprehensive review and future perspectives.量子点作为先进的纳米材料在食品质量与安全应用中的研究进展:全面综述及未来展望
Compr Rev Food Sci Food Saf. 2024 May;23(3):e13339. doi: 10.1111/1541-4337.13339.
8
Do you like my voice? Stakeholder perspectives about the acceptability of synthetic child voices in three South African languages.你喜欢我的声音吗?利益相关者对三种南非语言中合成儿童声音可接受性的看法。
Int J Lang Commun Disord. 2025 Jan-Feb;60(1):e13152. doi: 10.1111/1460-6984.13152.
9
Advances in Microbubble Technologies for Food Sanitization: A Comprehensive Review.用于食品消毒的微泡技术进展:全面综述
Compr Rev Food Sci Food Saf. 2025 Jul;24(4):e70230. doi: 10.1111/1541-4337.70230.
10
Dual-lanthanide functionalized hydrogen-bonded organic frameworks for fluorescent detection of quinolone antibiotics in multi-media.用于多介质中喹诺酮类抗生素荧光检测的双镧系元素功能化氢键有机框架
J Hazard Mater. 2025 Sep 15;496:139335. doi: 10.1016/j.jhazmat.2025.139335. Epub 2025 Jul 21.

本文引用的文献

1
Bacterial genome-wide association studies: exploring the genetic variation underlying bacterial phenotypes.细菌全基因组关联研究:探索细菌表型背后的遗传变异
Appl Environ Microbiol. 2025 Jun 18;91(6):e0251224. doi: 10.1128/aem.02512-24. Epub 2025 May 16.
2
Hierarchical Bayesian linear mixed model to estimate variability in the thermal inactivation parameters for Listeria species.
Food Microbiol. 2025 Jun;128:104731. doi: 10.1016/j.fm.2025.104731. Epub 2025 Jan 10.
3
Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain.基于机器学习的易腐食品供应链安全与质量控制的最优温度管理模型。
Sci Rep. 2024 Nov 8;14(1):27228. doi: 10.1038/s41598-024-70638-6.
4
Using GWAS and Machine Learning to Identify and Predict Genetic Variants Associated with Foodborne Bacteria Phenotypic Traits.利用 GWAS 和机器学习识别和预测与食源性病原体表型特征相关的遗传变异。
Methods Mol Biol. 2025;2852:223-253. doi: 10.1007/978-1-0716-4100-2_16.
5
Framework for evaluation of food safety in the circular food system.循环食品系统中食品安全评估框架。
NPJ Sci Food. 2024 Jun 19;8(1):36. doi: 10.1038/s41538-024-00276-9.
6
Foodborne bacterial pathogens: genome-based approaches for enduring and emerging threats in a complex and changing world.食源性病原体细菌:基于基因组的方法应对复杂和不断变化世界中的持久和新兴威胁。
Nat Rev Microbiol. 2024 Sep;22(9):543-555. doi: 10.1038/s41579-024-01051-z. Epub 2024 May 24.
7
Research gaps and priorities for quantitative microbial risk assessment (QMRA).定量微生物风险评估(QMRA)的研究空白和重点。
Risk Anal. 2024 Nov;44(11):2521-2536. doi: 10.1111/risa.14318. Epub 2024 May 21.
8
Exploring the association of weather variability on Campylobacter - A systematic review.探讨天气变化对弯曲杆菌的影响:系统综述。
Environ Res. 2024 Jul 1;252(Pt 1):118796. doi: 10.1016/j.envres.2024.118796. Epub 2024 Apr 4.
9
Quantitative microbial risk assessment of Salmonella in fresh chicken patties.鲜鸡肉饼中沙门氏菌的定量微生物风险评估。
Food Res Int. 2024 Feb;178:113960. doi: 10.1016/j.foodres.2024.113960. Epub 2024 Jan 4.
10
Machine learning assisted biosensing technology: An emerging powerful tool for improving the intelligence of food safety detection.机器学习辅助生物传感技术:一种用于提升食品安全检测智能化水平的新兴强大工具。
Curr Res Food Sci. 2024 Jan 12;8:100679. doi: 10.1016/j.crfs.2024.100679. eCollection 2024.