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Enhanced Molecular Diagnosis of Bloodstream CandidaInfection with Size-Based Inertial Sorting at Submicron Resolution

Authors :
Lu, Xiaoguang
Chow, Joycelyn Jia Ming
Koo, Seok Hwee
Tan, Thean Yen
Jiang, Boran
Ai, Ye
Source :
Analytical Chemistry; December 2020, Vol. 92 Issue: 23 p15579-15586, 8p
Publication Year :
2020

Abstract

Inertial microfluidics has been proven to be a powerful tool for high-throughput, size-based cell sorting in diverse biomedical applications. In the case of Candida-related sepsis, Candidaspecies and major blood cells (i.e., red blood cells and white blood cells) have a size distribution of 3–5 and 6–30 μm, respectively. To effectively retrieve a majority of Candidaspecies and remove most of the interfering blood cells for accurate molecular analysis, inertial sorting of micron-sized biological particles with submicron size difference is highly desired, but far unexplored till now. In this work, we present a new channel design for an inertial microfluidic sorting device by embedding microsquares to construct periodic contractions along a series of repeating curved units. This unique channel design allows us to enhance inertial lift force at the microsquare zone and produce localized secondary Dean flow drag force in addition to global Dean flow drag force. This inertial sorting device has successfully separated 5.5 μm particles from 6.0 μm particles with a recovery ratio higher than 80% and a purity higher than 92%, demonstrating a size-based inertial sorting at submicron resolution (i.e., 0.5 μm). We further applied this inertial sorting device to purify Candidaspecies from whole blood sample for enhanced molecular diagnosis of bloodstream Candidainfection and especially compared it with the commonly used lysis-centrifugation-based purification method (STEM method) by recovering two species of Candida(Cornus glabrataand Candida albicans) from Candida-spiked blood samples. Through quantitative polymerase chain reaction (qPCR) analysis, we found that our inertial sorting approach has nearly 3-fold improvement on the pathogen recovery than the STEM method at pathogen abundances of 103cfu/mL and 102cfu/mL. The present inertial sorting at submicron resolution provides a simple, rapid, and efficient pathogen purification method for significantly improved molecular diagnosis of bloodstream Candidainfection.

Details

Language :
English
ISSN :
00032700 and 15206882
Volume :
92
Issue :
23
Database :
Supplemental Index
Journal :
Analytical Chemistry
Publication Type :
Periodical
Accession number :
ejs54637988
Full Text :
https://doi.org/10.1021/acs.analchem.0c03718