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Development of Microalgae Biosensor Chip by Incorporating Microarray Oxygen Sensor for Pesticides Sensing
Md Abul Kashem1, Kazuki Kimoto1, Yasunori Iribe1
1Department of Electric and Electronic Engineering, Faculty of Engineering, University of Toyama, Toyama 930-8555, Japan.
Biosensors
|November 16, 2019
Summary
A new biosensor chip uses microalgae to detect pesticides in water. This simple, low-cost method effectively monitors water quality by measuring photosynthetic activity inhibition.
Area of Science:
- Environmental Science
- Biotechnology
- Analytical Chemistry
Background:
- Pesticide contamination poses a significant threat to water quality and ecosystem health.
- Developing sensitive and cost-effective biosensors is crucial for effective water monitoring.
- Microalgae-based biosensors offer a promising approach for detecting environmental pollutants.
Purpose of the Study:
- To develop and validate a microalgae biosensor chip for sensitive pesticide detection.
- To assess the biosensor's performance against a range of common pesticides.
- To evaluate the potential of this biosensor for routine water quality monitoring.
Main Methods:
- Immobilized *Pseudokirchneriella subcapitata* microalgae biofilm was patterned onto dye-spotted microarray slides using microcontact printing.
- Fluorescence intensity changes, indicative of photosynthetic oxygen production, were monitored using an inverted fluorescent microscope.
- Inhibition of oxygen generation rate was calculated based on fluorescence intensity variance before and after pesticide exposure.
Main Results:
- The biosensor demonstrated high sensitivity to diuron (1 ppb detection limit) and moderate sensitivity to simetryn, simazine, and atrazine (10 ppb detection limits).
- The biosensor was insensitive to mefenacet and pendimethalin among the tested pesticides.
- Calibration curves showed a clear correlation between pesticide concentration and inhibition of photosynthetic activity.
Conclusions:
- The developed microalgae biosensor chip offers a simple, low-cost, and effective method for detecting specific pesticides in water.
- This technology holds significant potential for regular environmental water quality monitoring, particularly for pesticide contamination.
- Further research could expand the range of detectable pesticides and optimize biosensor performance.
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