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Updated: May 10, 2026

10:57
Experimental Protocol for Detecting Cyanobacteria in Liquid and Solid Samples with an Antibody Microarray Chip
Published on: February 7, 2017
Novel system to detect bacteria in real time in aquatic environments
Tomotaka Naramura1, Takao Ide, Kazuma Sekimoto
1Ide Clinic, 2-14-7, Zenkai-minamimachi, Nishi-ku, Kobe, Hyogo 651-2109, Japan. naramura@hotmail.com
Biocontrol Science
|June 26, 2013
Summary
This study introduces a novel sensor for real-time bacteria detection using autofluorescence, bypassing lengthy cultivation methods. The system offers rapid, reagent-free identification of viable and non-viable bacterial particles.
Area of Science:
- Microbiology
- Analytical Chemistry
- Biotechnology
Background:
- Traditional bacteria testing relies on cultivation, which is time-consuming and fails for some species.
- Current methods often require extensive sample pretreatments and reagent additions.
- There is a need for rapid, on-site bacterial detection methods in various industries.
Purpose of the Study:
- To develop a real-time sensor for bacteria detection.
- To utilize bacterial autofluorescence for rapid identification.
- To enable process analytical technology (PAT) for on-site quality control.
Main Methods:
- A sensor system employing a 405nm laser to detect fluorescence and scattered light from bacteria.
- Utilizing a flow-cell for sample analysis without pretreatment or reagents.
- Separating fluorescent and scattered light using a dichroic mirror.
Main Results:
- Successful detection of fluorescent polystyrene latex particles and bacterial strains.
- Demonstrated good detection capability for viable and non-viable particles.
- Real-time measurement of bacteria without additional reagents or sample preparation.
Conclusions:
- The developed sensor system provides a next-generation approach to bacteria detection.
- This technology facilitates real-time, on-site bacterial monitoring.
- It supports the implementation of process analytical technology across industries requiring bacterial detection.
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