2019
DOI: 10.1002/btpr.2892
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Factors affecting sedimentational separation of bacteria from blood

Abstract: Rapid diagnosis of blood infections requires fast and efficient separation of bacteria from blood. We have developed spinning hollow disks that separate bacteria from blood cells via the differences in sedimentation velocities of these particles. Factors affecting separation included the spinning speed and duration, and disk size. These factors were varied in dozens of experiments for which the volume of separated plasma, and the concentration of bacteria and red blood cells (RBCs) in separated plasma were mea… Show more

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Cited by 8 publications
(17 citation statements)
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“…In these experiments, disk trough volumes and V input were controlled such that the disk trough contained all the red cells upon deceleration and the red cell sediment thickness not exceed 3 mm 22 for red cells packed to 85%. 21 As a result, V flowdown $ (1 -ϕ 0 /0.85)V input , and the volume ratio Table S4 for regression details. The y-intercept at BR = 0.68 is consistent with previous experiments that measured BRs of 69%.…”
Section: Overall Bacteria Recoverymentioning
confidence: 99%
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“…In these experiments, disk trough volumes and V input were controlled such that the disk trough contained all the red cells upon deceleration and the red cell sediment thickness not exceed 3 mm 22 for red cells packed to 85%. 21 As a result, V flowdown $ (1 -ϕ 0 /0.85)V input , and the volume ratio Table S4 for regression details. The y-intercept at BR = 0.68 is consistent with previous experiments that measured BRs of 69%.…”
Section: Overall Bacteria Recoverymentioning
confidence: 99%
“…The y-intercept at BR = 0.68 is consistent with previous experiments that measured BRs of 69%. 21 5 | DISCUSSION…”
Section: Overall Bacteria Recoverymentioning
confidence: 99%
See 2 more Smart Citations
“…Thus a 10 mL sample of blood would provide 100-fold more DNA than needed to place a 10-mer on each pyramid. Bacteria (and their DNA) can be collected from blood in minutes (Pitt et al, 2016;Alizadeh et al, 2017;Pitt et al, 2019), and the SERS analysis can commence immediately, followed by computations for identification of species and antibiotic resistance.…”
Section: Introductionmentioning
confidence: 99%