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A microfluidic biosensor for online and sensitive detection of Salmonella typhimurium using fluorescence labeling and smartphone video processing.
- Source :
-
Biosensors & bioelectronics [Biosens Bioelectron] 2019 Sep 01; Vol. 140, pp. 111333. Date of Electronic Publication: 2019 May 22. - Publication Year :
- 2019
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Abstract
- Early screening of foodborne pathogens is a key to ensure food safety. In this study, we developed a microfluidic biosensor for online and sensitive detection of Salmonella based on immunomagnetic separation, fluorescence labeling and smartphone video processing. First, the immune magnetic nanoparticles were used to specifically separate and efficiently concentrate the target bacteria and the magnetic bacteria were formed. Then, the magnetic bacteria were labeled with the immune fluorescent microspheres and the fluorescent bacteria were formed. Finally, the fluorescent bacteria were continuously injected into the microfluidic chip on the smartphone-based fluorescent microscopic system, and the fluorescent spots were online counted using the smartphone App based on inter-frame difference algorithm to obtain the amount of the target bacteria. Under the optimal conditions, this proposed biosensor was able to quantitatively detect Salmonella typhimurium ranging from 1.4 × 10 <superscript>2</superscript> to 1.4 × 10 <superscript>6</superscript> CFU/mL, and its lower detection limit was 58 CFU/mL. This biosensor could be extended for detection of multiple foodborne pathogens using different fluorescent materials.<br /> (Copyright © 2019 Elsevier B.V. All rights reserved.)
- Subjects :
- Equipment Design
Fluorescence
Food Contamination analysis
Food Microbiology
Food Safety
Humans
Immunomagnetic Separation
Limit of Detection
Mobile Applications
Salmonella Infections microbiology
Bacterial Load instrumentation
Biosensing Techniques instrumentation
Lab-On-A-Chip Devices
Salmonella typhimurium isolation & purification
Smartphone instrumentation
Subjects
Details
- Language :
- English
- ISSN :
- 1873-4235
- Volume :
- 140
- Database :
- MEDLINE
- Journal :
- Biosensors & bioelectronics
- Publication Type :
- Academic Journal
- Accession number :
- 31153017
- Full Text :
- https://doi.org/10.1016/j.bios.2019.111333