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Efficient filter-in-centrifuge separation of low-concentration bacteria from blood
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Micro and Nanosystems.ORCID iD: 0000-0001-8248-6670
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Micro and Nanosystems.ORCID iD: 0000-0003-0477-6300
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Micro and Nanosystems.
2023 (English)In: Lab on a Chip, ISSN 1473-0197, E-ISSN 1473-0189, Vol. 23, no 19, p. 4334-4342Article in journal (Refereed) Published
Abstract [en]

Separating bacteria from infected blood is an important step in preparing samples for downstream bacteria detection and analysis. However, the extremely low bacteria concentration and extremely high blood cell count make efficient separation challenging. In this study, we introduce a method for separating bacteria from blood in a single centrifugation step, which involves sedimentation velocity-based differentiation followed by size-based cross-flow filtration over an inclined filter. Starting from 1 mL spiked whole blood, we recovered 32 ± 4% of the bacteria (Escherichia coli, Klebsiella pneumonia, or Staphylococcus aureus) within one hour while removing 99.4 ± 0.1% of the red blood cells, 98.4 ± 1.4% of the white blood cells, and 90.0 ± 2.6% of the platelets. Changing the device material could further increase bacteria recovery to >50%. We demonstrated bacterial recovery from blood spiked with 10 CFU mL−1. Our simple hands-off efficient separation of low-abundant bacteria approaches clinical expectations, making the new method a promising candidate for future clinical use.

Place, publisher, year, edition, pages
Royal Society of Chemistry, 2023. Vol. 23, no 19, p. 4334-4342
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-336628DOI: 10.1039/D3LC00594AISI: 001069191800001PubMedID: 37712252Scopus ID: 2-s2.0-85172200692OAI: oai:DiVA.org:kth-336628DiVA, id: diva2:1797648
Note

QC 20231031

Available from: 2023-09-15 Created: 2023-09-15 Last updated: 2023-11-15Bibliographically approved

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van der Wijngaart, WouterOsaid, MohammadZeng, Kaiyang

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