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Quantitative assessment of automated purification and concentration of E. coli bacteria.

Nina Sara Fraticelli GuzmánMohamed W BadawyMax A StockslagerMichael L FarrellCaitlin van ZylSeth StewartDavid L HuCraig R Forest
Published in: SLAS technology (2023)
Automated methods for rapidly purifying and concentrating bacteria from environmental interferents are needed in next-generation applications for anything from water purification to biological weapons detection. Though previous work has been performed by other researchers in this area, there is still a need to create an automated system that can both purify and concentrate target pathogens in a timely manner with readily available and replaceable components that could be easily integrated with a detection mechanism. Thus, the objective of this work was to design, build, and demonstrate the effectiveness of an automated system, the Automated Dual-filter method for Applied Recovery, or aDARE. aDARE uses a custom LABVIEW program that guides the flow of bacterial samples through a pair of size-based separation membranes to capture and elute the target bacteria. Using aDARE, we eliminated 95% of the interfering beads of a 5 mL-sample volume containing 10 7 CFU/mL of E. coli contaminated with 2 µm and 10 µm polystyrene beads at 10 6 beads/mL concentration., The target bacteria were concentrated to more than twice the initial concentration in 900 µL of eluent, resulting in an enrichment ratio for the target bacteria of 42 ± 13 in 5.5 min. These results show the feasibility and effectiveness of using size-based filtration membranes to purify and concentrate a target bacterium, in this case E. coli, in an automated system.
Keyphrases
  • escherichia coli
  • machine learning
  • deep learning
  • randomized controlled trial
  • systematic review
  • high throughput
  • heavy metals
  • single cell