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

Enzyme-based detection of epoxides using colorimetric assay integrated with smartphone imaging
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使用与智能手机成像集成的比色测定法基于酶的环氧化物检测

DOI:
10.1002/bab.1898
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发表时间:
2020-02-24
影响因子:
2.8
通讯作者:
Tang, Lixia
Tang, Lixia
中科院分区:
工程技术4区
文献类型:
--
作者:
Gul, Ijaz;Bogale, Tadesse Fantaye;Tang, Lixia

文献摘要

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环氧化物是广泛使用的化学品,其测定至关重要。在此,我们提出了一种基于酶的方法,用于标准溶液和环境样品中环氧化物的非仪器检测。对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环氧氯丙烷进行了传感评估。该检测基于 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的颜色变化。然后,使用智能手机作为图像采集和数据处理设备,利用颜色变化来测定环氧化物,从而无需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,所提出的酶检测系统的线性范围为 0.13-2 mM,检测限为 0.07 mM,检测时间为 8 分钟。此外,以相对标准偏差表示的重复性低于 5% (n = 6)。气相色谱分析验证表明,所提出的基于酶的环氧化物检测可能是环氧化物定量测定的替代方法,并且在资源有限的环境中特别有用。
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.