School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Biotechnol Appl Biochem. 2020 Jul;67(4):685-692. doi: 10.1002/bab.1898. Epub 2020 Feb 24.
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.
环氧化物是用途广泛的化学品，对其进行测定非常重要。在此，我们提出了一种基于酶的方法，用于在标准溶液和环境样品中非仪器检测环氧化物。卤代醇脱卤酶（HheC）作为生物识别元件，以表氯醇作为模型分析物，对其进行了传感评估。该检测是基于 HheC 催化环氧化物底物开环引起的 pH 指示剂染料溴百里酚蓝颜色变化。然后，利用智能手机作为图像采集和数据处理设备来确定环氧化物的颜色变化，从而无需基于计算机的图像分析软件。系统地评估了颜色参数以确定最佳定量分析参数。在最佳条件下，所提出的基于酶的检测系统显示出 0.13-2 mM 的线性范围，检测限为 0.07 mM，测定时间为 8 分钟。此外，发现相对标准偏差表示的重复性低于 5%（n = 6）。通过气相色谱分析验证表明，所提出的基于酶的环氧化物检测方法可能是定量测定环氧化物的一种替代方法，尤其在资源有限的环境中非常有用。
