Literature DB >> 32064665

Enzyme-based detection of epoxides using colorimetric assay integrated with smartphone imaging.

Ijaz Gul1, Tadesse Fantaye Bogale1, Jiao Deng1, Yong Chen1, Ruiqin Fang1,2, Juan Feng1,2, Lixia Tang1,2.   

Abstract

Epoxides are widely used chemicals, the determination of which is of paramount importance. Herein, we present an enzyme-based approach for noninstrumental detection of epoxides in standard solution and environmental samples. Halohydrin dehalogenase (HheC) as a biological recognition element and epichlorohydrin as a model analyte were evaluated for sensing. The detection is based on the color change of the pH indicator dye bromothymol blue caused by the HheC-catalyzed ring-opening of the epoxide substrate. The color change is then exploited for the determination of epoxide using a smartphone as an image acquisition and data processing device, eliminating the need for computer-based image analysis software. The color parameters were systematically evaluated to determine the optimum quantitative analytical parameter. Under optimal conditions, the proposed enzyme-based detection system showed a linear range of 0.13-2 mM with a detection limit of 0.07 mM and an assay time of 8 Min. In addition, the repeatability expressed as relative standard deviation was found to be below 5% (n = 6). Validation with gas chromatographic analyses showed that the proposed enzyme-based epoxide detection could be an alternative way in the quantitative determination of epoxides, and particularly useful in resource-limited settings.
© 2020 International Union of Biochemistry and Molecular Biology, Inc.

Entities:  

Keywords:  bioassay; epoxide detection; halohydrin dehalogenase; pH-based assay; smartphone

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Year:  2020        PMID: 32064665     DOI: 10.1002/bab.1898

Source DB:  PubMed          Journal:  Biotechnol Appl Biochem        ISSN: 0885-4513            Impact factor:   2.431


  1 in total

1.  Special issue (67:4): Synthetic and engineered enzymes for biocatalysis and biotransformation.

Authors:  Angela Lombardi; Lionel Cheruzel; Long Liu
Journal:  Biotechnol Appl Biochem       Date:  2020-07       Impact factor: 2.431

  1 in total

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