Maargavi Singh , Sreelakshmi C․S․ , Chiranjay Mukhopadhyay , Sajan D. George , Pooja Nag , Kapil Sadani
{"title":"光学生物传感器作为临床检测ESKAPE细菌替代诊断方法的研究进展","authors":"Maargavi Singh , Sreelakshmi C․S․ , Chiranjay Mukhopadhyay , Sajan D. George , Pooja Nag , Kapil Sadani","doi":"10.1016/j.snr.2025.100365","DOIUrl":null,"url":null,"abstract":"<div><div>The global rise of antimicrobial resistance (AMR), manifesting as multidrug-resistant, extremely drug-resistant, and pandrug-resistant pathogens, is causing morbidities which are alarmingly translating to mortalities. The issue is pertinent to low and middle-income countries, which rely heavily on their primary and secondary healthcare setups with severely constrained infrastructure and diagnostics. Traditional and molecular diagnostic methods are effective, but have long turnaround times, are expensive, and require specialized facilities. Due to these constraints, these facilities are usually not present at the primary healthcare centers. This review explores the urgent need for alternative diagnostic strategies beyond conventional pathogen identification and antibiotic susceptibility testing, emphasizing the detection of bacterial metabolites and virulence factors as innovative biomarkers for AMR. This article provides critical insight into tailoring optical biosensor technologies as alternate diagnostics for ESKAPE pathogens in resource-limited settings. It highlights the integration of these biosensing platforms with emerging metabolomics and biomarker profiling technologies, offering a promising route toward point-of-care diagnostics. In addition, incorporating artificial intelligence and machine learning algorithms in signal processing and feature extraction enhances biosensor performance and accelerates diagnostic accuracy. The review critiques the current state of the art in AMR diagnostics and provides strategic inroads for developing robust and deployable diagnostics to help better bacterial infection control.</div></div>","PeriodicalId":426,"journal":{"name":"Sensors and Actuators Reports","volume":"10 ","pages":"Article 100365"},"PeriodicalIF":7.6000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advances in optical biosensors as alternative diagnostics for clinical determination of ESKAPE bacteria\",\"authors\":\"Maargavi Singh , Sreelakshmi C․S․ , Chiranjay Mukhopadhyay , Sajan D. George , Pooja Nag , Kapil Sadani\",\"doi\":\"10.1016/j.snr.2025.100365\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The global rise of antimicrobial resistance (AMR), manifesting as multidrug-resistant, extremely drug-resistant, and pandrug-resistant pathogens, is causing morbidities which are alarmingly translating to mortalities. The issue is pertinent to low and middle-income countries, which rely heavily on their primary and secondary healthcare setups with severely constrained infrastructure and diagnostics. Traditional and molecular diagnostic methods are effective, but have long turnaround times, are expensive, and require specialized facilities. Due to these constraints, these facilities are usually not present at the primary healthcare centers. This review explores the urgent need for alternative diagnostic strategies beyond conventional pathogen identification and antibiotic susceptibility testing, emphasizing the detection of bacterial metabolites and virulence factors as innovative biomarkers for AMR. This article provides critical insight into tailoring optical biosensor technologies as alternate diagnostics for ESKAPE pathogens in resource-limited settings. It highlights the integration of these biosensing platforms with emerging metabolomics and biomarker profiling technologies, offering a promising route toward point-of-care diagnostics. In addition, incorporating artificial intelligence and machine learning algorithms in signal processing and feature extraction enhances biosensor performance and accelerates diagnostic accuracy. The review critiques the current state of the art in AMR diagnostics and provides strategic inroads for developing robust and deployable diagnostics to help better bacterial infection control.</div></div>\",\"PeriodicalId\":426,\"journal\":{\"name\":\"Sensors and Actuators Reports\",\"volume\":\"10 \",\"pages\":\"Article 100365\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2025-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sensors and Actuators Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666053925000839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors and Actuators Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666053925000839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Advances in optical biosensors as alternative diagnostics for clinical determination of ESKAPE bacteria
The global rise of antimicrobial resistance (AMR), manifesting as multidrug-resistant, extremely drug-resistant, and pandrug-resistant pathogens, is causing morbidities which are alarmingly translating to mortalities. The issue is pertinent to low and middle-income countries, which rely heavily on their primary and secondary healthcare setups with severely constrained infrastructure and diagnostics. Traditional and molecular diagnostic methods are effective, but have long turnaround times, are expensive, and require specialized facilities. Due to these constraints, these facilities are usually not present at the primary healthcare centers. This review explores the urgent need for alternative diagnostic strategies beyond conventional pathogen identification and antibiotic susceptibility testing, emphasizing the detection of bacterial metabolites and virulence factors as innovative biomarkers for AMR. This article provides critical insight into tailoring optical biosensor technologies as alternate diagnostics for ESKAPE pathogens in resource-limited settings. It highlights the integration of these biosensing platforms with emerging metabolomics and biomarker profiling technologies, offering a promising route toward point-of-care diagnostics. In addition, incorporating artificial intelligence and machine learning algorithms in signal processing and feature extraction enhances biosensor performance and accelerates diagnostic accuracy. The review critiques the current state of the art in AMR diagnostics and provides strategic inroads for developing robust and deployable diagnostics to help better bacterial infection control.
期刊介绍:
Sensors and Actuators Reports is a peer-reviewed open access journal launched out from the Sensors and Actuators journal family. Sensors and Actuators Reports is dedicated to publishing new and original works in the field of all type of sensors and actuators, including bio-, chemical-, physical-, and nano- sensors and actuators, which demonstrates significant progress beyond the current state of the art. The journal regularly publishes original research papers, reviews, and short communications.
For research papers and short communications, the journal aims to publish the new and original work supported by experimental results and as such purely theoretical works are not accepted.