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Updated: Jul 21, 2026
09:04
Foodborne Pathogen Screening Using Magneto-fluorescent Nanosensor: Rapid Detection of E. Coli O157:H7
Published on: September 17, 2017
7.8K
Advances in Portable Visual Detection of Pathogenic Bacteria
Kuiyu Wang1, Zhenhao Wang1, Hui Zeng1
1School of Chemical Engineering and Technology, Sun Yat-sen University, Southern Laboratory of Ocean Science and Engineering (Guangdong, Zhuhai), Zhuhai 519082, China.
ACS Applied Bio Materials
|January 12, 2022
Summary
Rapid detection of pathogenic bacteria is crucial for food safety. Portable biosensors integrated with devices like smartphones offer a promising, lab-free solution for quick, ultrasensitive pathogen identification.
Area of Science:
- Food safety
- Biosensor technology
- Pathogen detection
Background:
- Traditional pathogen detection methods are time-consuming and lab-dependent.
- There is a growing need for rapid, field-deployable diagnostic tools.
- Point-of-care testing (POCT) offers a promising alternative for timely analysis.
Purpose of the Study:
- To review recent advancements in portable device-based visual detection of pathogens.
- To evaluate the advantages and disadvantages of these emerging technologies.
- To highlight their potential in food safety and clinical diagnostics.
Main Methods:
- Focus on portable biosensors and integrated devices.
- Includes portable glucose meters (PGMs), test strips, and smartphones.
- Emphasizes visual detection schemes for ease of use.
Main Results:
- Portable devices enable rapid, on-site pathogen detection.
- Ultrasensitive biosensors show significant promise for accurate identification.
- Integration with common devices enhances accessibility and usability.
Conclusions:
- Portable biosensor technologies are revolutionizing pathogen detection for food safety.
- These methods offer a viable alternative to traditional lab-based assays.
- Further development promises enhanced clinical diagnostics and regulatory compliance.
Keywords:
clinical diagnosisfood safetypathogenic bacteriapoint-of-care testingportable devicesvisual detectionMore Related Videos
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