Literature DB >> 34850601

Biosensors and Point-of-Care Devices for Bacterial Detection: Rapid Diagnostics Informing Antibiotic Therapy.

Ashna Gopal1, Li Yan2, Saima Kashif1, Tasnim Munshi3, Vellaisamy A L Roy4, Nicolas H Voelcker5,6,7, Xianfeng Chen1.   

Abstract

With an exponential rise in antimicrobial resistance and stagnant antibiotic development pipeline, there is, more than ever, a crucial need to optimize current infection therapy approaches. One of the most important stages in this process requires rapid and effective identification of pathogenic bacteria responsible for diseases. Current gold standard techniques of bacterial detection include culture methods, polymerase chain reactions, and immunoassays. However, their use is fraught with downsides with high turnaround time and low accuracy being the most prominent. This imposes great limitations on their eventual application as point-of-care devices. Over time, innovative detection techniques have been proposed and developed to curb these drawbacks. In this review, a systematic summary of a range of biosensing platforms is provided with a strong focus on technologies conferring high detection sensitivity and specificity. A thorough analysis is performed and the benefits and drawbacks of each type of biosensor are highlighted, the factors influencing their potential as point-of-care devices are discussed, and the authors' insights for their translation from proof-of-concept systems into commercial medical devices are provided.
© 2021 Wiley-VCH GmbH.

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Keywords:  antibiotic therapy; bacteria detection; biosensors; point-of-care; rapid diagnostics

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Year:  2021        PMID: 34850601     DOI: 10.1002/adhm.202101546

Source DB:  PubMed          Journal:  Adv Healthc Mater        ISSN: 2192-2640            Impact factor:   9.933


  1 in total

1.  Differentiation and classification of bacterial endotoxins based on surface enhanced Raman scattering and advanced machine learning.

Authors:  Yanjun Yang; Beibei Xu; James Haverstick; Nabil Ibtehaz; Artur Muszyński; Xianyan Chen; Muhammad E H Chowdhury; Susu M Zughaier; Yiping Zhao
Journal:  Nanoscale       Date:  2022-06-23       Impact factor: 8.307

  1 in total

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