Literature DB >> 31425635

Factors affecting sedimentational separation of bacteria from blood.

William G Pitt1, Mahsa Alizadeh1, Rae Blanco1, Alex K Hunter1, Colin G Bledsoe1, Daniel S McClellan1, Madison E Wood2, Ryan L Wood1, Tanner V Ravsten1, Caroline L Hickey1, William Cameron Beard3, Jacob R Stepan3, Alexandra Carter1, Ghaleb A Husseini4, Richard A Robison2, Evelyn Welling1, Rebekah N Torgesen1, Clifton M Anderson1.   

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 measured. Data were correlated by a parameter of characteristic sedimentation length, which is the distance that an idealized RBC would travel during the entire spin. Results show that characteristic sedimentation length of 20 to 25 mm produces an optimal separation and collection of bacteria in plasma. This corresponds to spinning a 12-cm-diameter disk at 3,000 rpm for 13 s. Following the spin, a careful deceleration preserves the separation of cells from plasma and provides a bacterial recovery of about 61 ± 5%.
© 2019 American Institute of Chemical Engineers.

Entities:  

Keywords:  zzm321990E. coli; bacterial bloodstream infection; bacterial separation; centrifugation; disk design; human blood; sedimentation

Mesh:

Year:  2019        PMID: 31425635     DOI: 10.1002/btpr.2892

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  3 in total

1.  3× multiplexed detection of antibiotic resistant plasmids with single molecule sensitivity.

Authors:  G G Meena; R L Hanson; R L Wood; O T Brown; M A Stott; R A Robison; W G Pitt; A T Woolley; A R Hawkins; H Schmidt
Journal:  Lab Chip       Date:  2020-09-07       Impact factor: 6.799

2.  Multilabel hybridization probes for sequence-specific detection of sepsis-related drug resistance genes in plasmids.

Authors:  Robert L Hanson; Elaine Lazalde; Radim Knob; David H Harris; Yesman Akuoko; Jacob B Nielsen; Adam T Woolley
Journal:  Talanta Open       Date:  2021-02-16

3.  Analysis of Identification Method for Bacterial Species and Antibiotic Resistance Genes Using Optical Data From DNA Oligomers.

Authors:  Ryan L Wood; Tanner Jensen; Cindi Wadsworth; Mark Clement; Prashant Nagpal; William G Pitt
Journal:  Front Microbiol       Date:  2020-02-20       Impact factor: 5.640

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.