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Enzyme‐based detection of epoxides using colorimetric assay integrated with smartphone imaging
Biotechnology and Applied Biochemistry ( IF 2.8 ) Pub Date : 2020-02-16 , DOI: 10.1002/bab.1898
Ijaz Gul 1 , Tadesse Fantaye Bogale 1 , Jiao Deng 1 , Yong Chen 1 , Ruiqin Fang 1, 2 , Juan Feng 1, 2 , Lixia Tang 1, 2
Affiliation  

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.

中文翻译:

使用比色法结合智能手机成像技术,基于酶的环氧化物检测

环氧是广泛使用的化学物质,对其的确定至关重要。本文中,我们提出了一种基于酶的方法,用于非仪器检测标准溶液和环境样品中的环氧化物。评价了作为生物识别元件的卤代醇脱卤酶(HheC)和作为模型分析物的表氯醇的感测性能。该检测基于pH指示剂溴百里酚蓝的颜色变化,该变化是由HheC催化的环氧底物开环引起的。然后,使用智能手机作为图像采集和数据处理设备,利用颜色变化来确定环氧化物,从而无需使用基于计算机的图像分析软件。系统评估颜色参数,以确定最佳定量分析参数。在最佳条件下 提议的基于酶的检测系统的线性范围为0.13–2 mM,检测限为0.07 mM,测定时间为8分钟。另外,以相对标准偏差表示的可重复性低于5%(n  = 6)。气相色谱分析的验证表明,建议的基于酶的环氧化物检测可能是定量测定环氧化物的另一种方法,在资源有限的环境中尤其有用。
更新日期:2020-02-16
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