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学术动态:Recent Advances in Bacterial Separation and Enrichment from Blood for the Diagnosis of Bloodstream Infections

MDPI Sensors 论文摘要:In this paper, recent advances (2016–2026) in bacterial separation and enrichment from blood for diagnosis of bloodstream infection (BSIs) through pathogen identification and antimicrobial susceptibilit

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论文标题:Recent Advances in Bacterial Separation and Enrichment from Blood for the Diagnosis of Bloodstream Infections

发布日期:2026-05-26

作者:Hai-Bo Wang, Zhen-Zheng Zhang, Qing Liu, Hang-Bo Lu, Jian-Hui Jiang

DOI:10.3390/s26113371

论文摘要:In this paper, recent advances (2016–2026) in bacterial separation and enrichment from blood for diagnosis of bloodstream infection (BSIs) through pathogen identification and antimicrobial susceptibility testing (AST) are reviewed. The review centers on sample processing as an indispensable front-end of biosensor and lab-on-chip platforms, since most sensors cannot operate directly in whole blood. Efficient separation and enrichment concentrate extremely low bacterial burdens, remove blood components that interfere with detection, and deliver bacteria in a sensor-compatible format; consequently, diagnostic sensitivity, specificity, turnaround time, and robustness are strongly determined by this step. We first summarize the clinical impact of BSIs and the value of rapid AST for guiding timely, targeted therapy, emphasizing that efficient bacterial isolation from blood is a prerequisite for accurate testing. We then discuss key challenges and recent progress in bacterial separation and enrichment from blood with major approaches, including filtration, centrifugation, functionalized magnetic beads, and microfluidic technologies. These strategies serve as core building blocks that interface with downstream identification and AST methods, supporting integrated biosensors and point-of-care devices. Finally, we outline future directions of bacterial separation and enrichment approaches to improve recovery, purity, integration, standardization, and overall diagnostic performance for BSI workflows.

元数据:Crossref 收录的 MDPI Sensors 论文。 DOI: 10.3390/s26113371. Vol. 26, Issue 11. Authors: Hai-Bo Wang, Zhen-Zheng Zhang, Qing Liu, Hang-Bo Lu, Jian-Hui Jiang.

开放许可: https://creativecommons.org/licenses/by/4.0/

原文链接: https://doi.org/10.3390/s26113371

PDF 链接: https://www.mdpi.com/1424-8220/26/11/3371/pdf

来源: MDPI Sensors via Crossref

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