Automated microbial detection and quantification
Abstract
A method for automated microbial detection includes collecting air particles into a solid-state sampler, the air particles including microbes, charging the air particles using a plasma field generated by propulsion electrodes, focusing the charged air particles toward a sample well of a microfluidic testing cartridge, tagging the charged air particles with a fluorescence marker, and detecting a quantity of the microbes using a fluorescence detector.
- Inventors:
- Issue Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1805570
- Patent Number(s):
- 10934596
- Application Number:
- 15/949,516
- Assignee:
- UChicago Argonne, LLC (Chicago, IL)
- DOE Contract Number:
- AC02-06CH11357
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 04/10/2018
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Gilbert, James H., Catlett, Charles, and Beckman, Peter C. Automated microbial detection and quantification. United States: N. p., 2021.
Web.
Gilbert, James H., Catlett, Charles, & Beckman, Peter C. Automated microbial detection and quantification. United States.
Gilbert, James H., Catlett, Charles, and Beckman, Peter C. Tue .
"Automated microbial detection and quantification". United States. https://www.osti.gov/servlets/purl/1805570.
@article{osti_1805570,
title = {Automated microbial detection and quantification},
author = {Gilbert, James H. and Catlett, Charles and Beckman, Peter C.},
abstractNote = {A method for automated microbial detection includes collecting air particles into a solid-state sampler, the air particles including microbes, charging the air particles using a plasma field generated by propulsion electrodes, focusing the charged air particles toward a sample well of a microfluidic testing cartridge, tagging the charged air particles with a fluorescence marker, and detecting a quantity of the microbes using a fluorescence detector.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {3}
}