微生物抗生素耐药性快速评价方法

IF 2.3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Nikita G. Yabbarov, Elena D. Nikolskaya, Sergei B. Bibikov, Aleksandr A. Maltsev, Margarita V. Chirkina, Mariia R. Mollaeva, Maria B. Sokol, Ekaterina Yu. Epova, Ruslan O. Aliev, Ilya N. Kurochkin
{"title":"微生物抗生素耐药性快速评价方法","authors":"Nikita G. Yabbarov,&nbsp;Elena D. Nikolskaya,&nbsp;Sergei B. Bibikov,&nbsp;Aleksandr A. Maltsev,&nbsp;Margarita V. Chirkina,&nbsp;Mariia R. Mollaeva,&nbsp;Maria B. Sokol,&nbsp;Ekaterina Yu. Epova,&nbsp;Ruslan O. Aliev,&nbsp;Ilya N. Kurochkin","doi":"10.1134/S0006297924603678","DOIUrl":null,"url":null,"abstract":"<p>Antibiotic resistance is a major challenge for public health systems worldwide. Rapid and effective identification of bacterial strains is critical for reducing the use of antibiotics and restricting the spread of antibiotic-resistant microorganisms. Various approaches have been developed in recent years for rapid bacterial identification and antibiotic susceptibility testing (AST), such as Raman spectroscopy, single cell image analysis, microfluidic techniques, mass spectrometry analysis, use of high-sensitive luminescent and fluorescent tags, impedance-based detection, and others. This review describes the methods developed for rapid bacterial identification and assessment of their antibiotic susceptibility, including general principles, specific problems, and future prospects.</p>","PeriodicalId":483,"journal":{"name":"Biochemistry (Moscow)","volume":"90 1 supplement","pages":"S312 - S341"},"PeriodicalIF":2.3000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Methods for Rapid Evaluation of Microbial Antibiotics Resistance\",\"authors\":\"Nikita G. Yabbarov,&nbsp;Elena D. Nikolskaya,&nbsp;Sergei B. Bibikov,&nbsp;Aleksandr A. Maltsev,&nbsp;Margarita V. Chirkina,&nbsp;Mariia R. Mollaeva,&nbsp;Maria B. Sokol,&nbsp;Ekaterina Yu. Epova,&nbsp;Ruslan O. Aliev,&nbsp;Ilya N. Kurochkin\",\"doi\":\"10.1134/S0006297924603678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Antibiotic resistance is a major challenge for public health systems worldwide. Rapid and effective identification of bacterial strains is critical for reducing the use of antibiotics and restricting the spread of antibiotic-resistant microorganisms. Various approaches have been developed in recent years for rapid bacterial identification and antibiotic susceptibility testing (AST), such as Raman spectroscopy, single cell image analysis, microfluidic techniques, mass spectrometry analysis, use of high-sensitive luminescent and fluorescent tags, impedance-based detection, and others. This review describes the methods developed for rapid bacterial identification and assessment of their antibiotic susceptibility, including general principles, specific problems, and future prospects.</p>\",\"PeriodicalId\":483,\"journal\":{\"name\":\"Biochemistry (Moscow)\",\"volume\":\"90 1 supplement\",\"pages\":\"S312 - S341\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biochemistry (Moscow)\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://link.springer.com/article/10.1134/S0006297924603678\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemistry (Moscow)","FirstCategoryId":"99","ListUrlMain":"https://link.springer.com/article/10.1134/S0006297924603678","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

抗生素耐药性是全球公共卫生系统面临的一项重大挑战。快速有效地鉴定细菌菌株对于减少抗生素的使用和限制耐抗生素微生物的传播至关重要。近年来,各种快速细菌鉴定和抗生素敏感性试验(AST)的方法得到了发展,如拉曼光谱、单细胞图像分析、微流体技术、质谱分析、高灵敏度发光和荧光标签的使用、基于阻抗的检测等。本文综述了快速细菌鉴定和抗生素敏感性评估的方法,包括一般原理、具体问题和未来展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods for Rapid Evaluation of Microbial Antibiotics Resistance

Antibiotic resistance is a major challenge for public health systems worldwide. Rapid and effective identification of bacterial strains is critical for reducing the use of antibiotics and restricting the spread of antibiotic-resistant microorganisms. Various approaches have been developed in recent years for rapid bacterial identification and antibiotic susceptibility testing (AST), such as Raman spectroscopy, single cell image analysis, microfluidic techniques, mass spectrometry analysis, use of high-sensitive luminescent and fluorescent tags, impedance-based detection, and others. This review describes the methods developed for rapid bacterial identification and assessment of their antibiotic susceptibility, including general principles, specific problems, and future prospects.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Biochemistry (Moscow)
Biochemistry (Moscow) 生物-生化与分子生物学
CiteScore
4.70
自引率
3.60%
发文量
139
审稿时长
2 months
期刊介绍: Biochemistry (Moscow) is the journal that includes research papers in all fields of biochemistry as well as biochemical aspects of molecular biology, bioorganic chemistry, microbiology, immunology, physiology, and biomedical sciences. Coverage also extends to new experimental methods in biochemistry, theoretical contributions of biochemical importance, reviews of contemporary biochemical topics, and mini-reviews (News in Biochemistry).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信