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Title: Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water

Abstract

We report an all-in-one platform – ScanDrop – for the rapid and specific capture, detection, and identification of bacteria in drinking water. The ScanDrop platform integrates droplet microfluidics, a portable imaging system, and cloud-based control software and data storage. The cloud-based control software and data storage enables robotic image acquisition, remote image processing, and rapid data sharing. These features form a “cloud” network for water quality monitoring. We have demonstrated the capability of ScanDrop to perform water quality monitoring via the detection of an indicator coliform bacterium, Escherichia coli, in drinking water contaminated with feces. Magnetic beads conjugated with antibodies to E. coli antigen were used to selectively capture and isolate specific bacteria from water samples. The bead-captured bacteria were co-encapsulated in pico-liter droplets with fluorescently-labeled anti-E. coli antibodies, and imaged with an automated custom designed fluorescence microscope. The entire water quality diagnostic process required 8 hours from sample collection to online-accessible results compared with 2–4 days for other currently available standard detection methods.

Authors:
 [1];  [2];  [3];  [4];  [2];  [5];  [6];  [7]
  1. Harvard Medical School, Boston, MA (United States). Shriners Burns Inst. Massachusetts General Hospital. Centre for Engineering in Medicine
  2. Joint BioEnergy Inst. (JBEI), Emeryville, CA (United States). Fuels Synthesis Division; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physical BioSciences Division; USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
  3. Technion-Israel Inst. of Technology, Haifa (Israel). Dept. of Computer Science
  4. Joint BioEnergy Inst. (JBEI), Emeryville, CA (United States). Fuels Synthesis Division; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physical BioSciences Division
  5. Harvard Medical School, Boston, MA (United States). Shriners Burns Inst. Massachusetts General Hospital. Centre for Engineering in Medicine; Rutgers Univ., New Brunswick, NJ (United States). Dept. of Biomedical Engineering
  6. Ben-Gurion Univ. of the Negev, Beer-Sheva (Israel). The National Inst. of Biotechnology in Negev. Dept. of Biotechnology Engineering; Nanyang Technological Univ. (Singapore). School of Materials Science and Engineering; NRF CREATE program for Nanomaterials in Energy and Water Management (Singapore)
  7. Northeastern Univ., Boston, MA (United States). Dept. of Pharmaceutical Sciences. School of Pharmacy. Bouvé College of Health Sciences
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); Shriners Foundation; Singapore National Research Foundation
OSTI Identifier:
1511391
Grant/Contract Number:  
AC02-05CH11231; 85120-BOS
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
PLoS ONE
Additional Journal Information:
Journal Volume: 9; Journal Issue: 1; Journal ID: ISSN 1932-6203
Publisher:
Public Library of Science
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; microfluidics; water resources; polymerase chain reaction; water pollution; water quality; fluorescence microscopy; fluorescence imaging; water management

Citation Formats

Golberg, Alexander, Linshiz, Gregory, Kravets, Ilia, Stawski, Nina, Hillson, Nathan J., Yarmush, Martin L., Marks, Robert S., and Konry, Tania. Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water. United States: N. p., 2014. Web. doi:10.1371/journal.pone.0086341.
Golberg, Alexander, Linshiz, Gregory, Kravets, Ilia, Stawski, Nina, Hillson, Nathan J., Yarmush, Martin L., Marks, Robert S., & Konry, Tania. Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water. United States. doi:10.1371/journal.pone.0086341.
Golberg, Alexander, Linshiz, Gregory, Kravets, Ilia, Stawski, Nina, Hillson, Nathan J., Yarmush, Martin L., Marks, Robert S., and Konry, Tania. Mon . "Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water". United States. doi:10.1371/journal.pone.0086341. https://www.osti.gov/servlets/purl/1511391.
@article{osti_1511391,
title = {Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water},
author = {Golberg, Alexander and Linshiz, Gregory and Kravets, Ilia and Stawski, Nina and Hillson, Nathan J. and Yarmush, Martin L. and Marks, Robert S. and Konry, Tania},
abstractNote = {We report an all-in-one platform – ScanDrop – for the rapid and specific capture, detection, and identification of bacteria in drinking water. The ScanDrop platform integrates droplet microfluidics, a portable imaging system, and cloud-based control software and data storage. The cloud-based control software and data storage enables robotic image acquisition, remote image processing, and rapid data sharing. These features form a “cloud” network for water quality monitoring. We have demonstrated the capability of ScanDrop to perform water quality monitoring via the detection of an indicator coliform bacterium, Escherichia coli, in drinking water contaminated with feces. Magnetic beads conjugated with antibodies to E. coli antigen were used to selectively capture and isolate specific bacteria from water samples. The bead-captured bacteria were co-encapsulated in pico-liter droplets with fluorescently-labeled anti-E. coli antibodies, and imaged with an automated custom designed fluorescence microscope. The entire water quality diagnostic process required 8 hours from sample collection to online-accessible results compared with 2–4 days for other currently available standard detection methods.},
doi = {10.1371/journal.pone.0086341},
journal = {PLoS ONE},
issn = {1932-6203},
number = 1,
volume = 9,
place = {United States},
year = {2014},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
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Cited by: 23 works
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Figures / Tables:

Figure 1 Figure 1: Bacteria capturing and detection assay. Magnetic bead capture of E. coli from enriched water samples, and downstream chip encapsulation for fluorescent labeling and detection. 1L of water is passed through a 0.22 mm filter, which is then incubated for 6 hr in LB media. Dynabeads® MAX anti-E. colimore » O157 are added to the resulting cell culture (‘‘sample’’), incubated for 20 min, and concentrated via magnet. The beads (potentially conjugated with bacteria) are then co-encapsulated with secondary fluorescently labeled anti-E. coli antibodies in the chip and incubated up to 1 hour before imaging. doi:10.1371/journal.pone.0086341.g001« less

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    Works referencing / citing this record:

      Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.