研究目的
To develop a rapid in situ optical biosensor for detecting halogenated organic compounds in water samples using immobilized haloalkane dehalogenase enzyme and a pH-sensitive chromoionophore.
研究成果
The developed optical biosensor offers rapid (6 min response time), direct detection of halogenated hydrocarbons in water with a wide linear range (5-60 mg/L) and low detection limit (1 mg/L). It is reproducible and validated against standard GC-ECD methods, making it suitable for on-site water quality monitoring without sample pre-treatment, though it is disposable and has limited stability.
研究不足
The biosensor has poor repeatability due to leaching of sensing elements upon rinsing, limiting it to single-use applications. Shelf life is short (around 5 days), and interference from ions like Fe3+ and Ca2+ can affect accuracy. Requires specific storage conditions (refrigeration).
1:Experimental Design and Method Selection:
The biosensor was designed with stacked chitosan films on a glass slide, incorporating HLD enzyme and chromoionophore ETH5294 for hydrolytic dehalogenation and pH-based optical transduction. Reflectance spectrophotometry was used for detection.
2:Sample Selection and Data Sources:
Water samples (river, tap, bottled) were collected and tested directly without pre-treatment. DCA was used as the model halogenated compound.
3:List of Experimental Equipment and Materials:
Includes glass slides, chitosan, glutaraldehyde, glycerol, acetic acid, chromoionophore ETH5294, HLD enzyme, DCA, buffers, and various ions for interference tests. Equipment includes a fiber optical reflectometer (Mikropack DH-2000-BAL), UV-Vis spectrophotometer (Varian Cary 50), and GC-ECD for validation.
4:Experimental Procedures and Operational Workflow:
Fabrication involved drop-coating chitosan layers with enzyme and chromoionophore, optimization of pH, loadings, and response time, leaching tests, and validation with real samples.
5:Data Analysis Methods:
Statistical analysis using t-tests for interference and validation, linear regression for calibration, and RSD for reproducibility.
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