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Development of a fiber optic enzymatic biosensor for 1,2-dichloroethane
Derek W Campbell1, Cord Müller, Kenneth F Reardon
1Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO 80523-1370, USA.
Biotechnology Letters
|June 21, 2006
Summary
This study developed a fiber optic biosensor for detecting 1,2-dichloroethane (DCA) in water. The novel sensor offers rapid, reagent-free, in situ measurement of this common contaminant.
Area of Science:
- Environmental Science
- Biotechnology
- Analytical Chemistry
Background:
- In situ monitoring of water contaminants is crucial.
- Existing methods for detecting 1,2-dichloroethane (DCA) often require reagents or pretreatment.
- There is a need for rapid, continuous, and reagent-free water quality assessment tools.
Purpose of the Study:
- To develop and evaluate a fiber optic biosensor for the in situ measurement of 1,2-dichloroethane (DCA) in aqueous solutions.
- To assess the performance characteristics of the biosensor, including sensitivity, response time, and reproducibility.
- To explore the potential of immobilized whole-cell biosensors for environmental monitoring.
Main Methods:
- Constructed a fiber optic biosensor utilizing whole cells of Xanthobacter autotrophicus GJ10, expressing haloalkane dehalogenase (DhlA).
- Immobilized the microbial biocomponent within a calcium alginate matrix at the tip of a fluoresceinamine-based pH optode.
- Tested the biosensor's ability to quantify 1,2-dichloroethane (DCA) in aqueous samples under laboratory conditions.
Main Results:
- The developed biosensor successfully quantified 1,2-dichloroethane (DCA) starting at 11 mg/l with a linear response up to 65 mg/l.
- The sensor achieved a total signal change within 8-10 minutes, demonstrating rapid detection capabilities.
- Measurements exhibited good reproducibility, with a standard error (SE) of less than 9%.
Conclusions:
- The fiber optic biosensor shows promise for the rapid, reagent-free, in situ detection of 1,2-dichloroethane (DCA) in water.
- The sensor's compact size, potential for remote operation, and cost-effectiveness support its further development for environmental monitoring.
- This approach offers a viable alternative to traditional analytical methods for water contaminant analysis.

