首页|期刊导航|中国食物与营养|2010-2025年国内外细菌与病毒性食源性疾病溯源技术研究进展:基于文献计量学的分析

2010-2025年国内外细菌与病毒性食源性疾病溯源技术研究进展:基于文献计量学的分析OA

Research Progress on Traceability Technology of Bacterial and Viral Foodborne Diseases at Home and Abroad from 2010 to 2025:An Analysis Based on Bibliometrics

中文摘要英文摘要

目的:分析国内外2010-2025年细菌与病毒性食源性疾病溯源技术研究发展进程、研究热点和趋势.方法:以中国知网(CNKI)和Web of Science核心合集(WoS)数据库为检索源,检索2010-2025年文献,采用CiteSpace 6.3.R1对文献进行关键词共线与突现可视化分析.结果:共纳入中文文献238篇、英文文献251篇.15年间中英文文献发文量总体呈上升趋势.关键词共现分析显示,国内研究聚焦脉冲场凝胶电泳、毒力基因、耐药分析、沙门氏菌、食物中毒、溯源等;国外研究侧重 Whole Genome Sequencing、PFGE、Food supply chain、Foodborne disease等.关键词突现分析显示,国内2023-2025年热点是全基因组测序、耐药分析、流行病学调查和耐药基因,国外为Antimicrobial resistance.结论:2010-2025年国内外细菌与病毒性食源性疾病溯源技术已经历表型、基因、基因组、数据融合四个阶段,预计未来高通量测序+多组学+AI的协同创新将成为食源性疾病溯源技术突破口和主要研究方向.

[Objective]To analyze the research and development process,research hotspots,and trends of bacterial and viral foodborne disease traceability technology in 2010-2025 at home and abroad.[Method]Us-ing China National Knowledge Infrastructure(CNKI)and Web of Science Core Collection(WoS)databases as search sources,literature from 2010 to 2025 was retrieved.CiteSpace 6.3.R1 was used to conduct visual analysis of keyword collinearity and emergence.[Result]A total of 238 Chinese literature and 251 English literatures were included in the results.The overall number of publications in both Chinese and English has been on the rise over the past 15 years.Keywords co-occurrence analysis showed that domestic research focused on pulsed field gel electrophoresis,virulence genes,drug resistance analysis,salmonella,food poisoning,traceability,etc.Foreign research focused on Whole Genome Sequencing,PFGE,Food Supply Chain,Foodborne Disease,etc.The burst detection of keywords showed that the hot topics in China from 2023 to 2025 were whole genome sequencing,drug resistance analysis,epidemiological investigation,and drug resistance genes,while in foreign countries it was antimicrobial resistance.[Conclusion]From 2010 to 2025,the traceability technology of bacte-rial and viral foodborne diseases at home and abroad has gone through four stages including phenotype,gene,genome,and data fusion.It is expected that the collaborative innovation of high-throughput sequencing,multi omics,and AI will become the breakthrough and main research direction of foodborne disease traceability technology in the future.

宋晓昀;刘晓婷;张玫;陈玉凤;国琳;郑晓南;华夏;刘熙媛;王明月

大连市疾病预防控制中心(大连市卫生监督所),辽宁 大连 116035大连市疾病预防控制中心(大连市卫生监督所),辽宁 大连 116035大连市疾病预防控制中心(大连市卫生监督所),辽宁 大连 116035大连市疾病预防控制中心(大连市卫生监督所),辽宁 大连 116035大连市疾病预防控制中心(大连市卫生监督所),辽宁 大连 116035大连市疾病预防控制中心(大连市卫生监督所),辽宁 大连 116035大连医科大学,辽宁 大连 116000大连医科大学,辽宁 大连 116000大连医科大学,辽宁 大连 116000

食源性疾病溯源技术文献计量CiteSpace

foodborne diseasestraceabilitybibliometricsCitespace

《中国食物与营养》 2026 (9)

80-89,10

大连市公共安全领域指导计划项目(项目编号:2024AQ11GX008).

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