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Smartphone based optical biosensor for the detection of urea in saliva

机译:基于智能手机的光学生物传感器,用于检测唾液尿素

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In the present study, we have developed a smartphone based handheld optical biosensor for determination of urea in saliva. A simple strategy was adopted by immobilization of urease enzyme along with a pH indicator on a filter paper based strip. The strip changed color upon the reaction with urea present in saliva and the color change can be estimated using our smartphone based application based on RGB profiling. Calibration of the biosensor was carried out using spiked saliva samples and an exponentially decreasing calibration curve has been obtained for green pixel intensity in the broad range (10-1000 mgdL(-1)) with a linear detection range of 10-260 mgdL(-1) and a response time of 20 s. The sensitivity reported for the biosensor in the clinically significant range was -0.005 average pixels sec(-1)/mgdL(-1) with a LOD of 10.4 mgdL(-1). Studies carried out on spiked saliva samples showed a good correlation between salivary urea estimated using our biosensor against phenol-hypochlorite based spectroscopic procedure. Development of a smartphone based biosensor for urea estimation eliminates the need for procuring a dedicated instrument as well as trained technician for daily monitoring and saves time as compared to traditional laboratory methods of analysis. (C) 2018 Elsevier B.V. All rights reserved.
机译:在本研究中,我们开发了一种基于智能手机的手持式光学生物传感器,用于测定唾液中的尿素。通过在滤纸条带上固定脲酶和pH指示器来采用简单的策略。条带在唾液中存在的尿素反应时改变了颜色,并且可以使用基于RGB分析的基于智能手机的应用来估计颜色变化。使用尖刺的唾液样品进行生物传感器的校准,并在宽范围内的绿色像素强度(10-1000 mgdl(-1))的绿色像素强度,线性检测范围为10-260 mgdl( - )使用尖叫的校准曲线进行指数下降的校准曲线。 1)和20秒的响应时间。在临床上显着的范围内对生物传感器报道的敏感性为-0.005个平均像素SEC(-1)/ mgdl(-1),其含量为10.4mgdl(-1)。在尖刺的唾液样品上进行的研究表明,使用我们的生物传感器对苯酚 - 次氯酸盐基于苯酚的光谱程序估计的唾液尿素之间的良好相关性。基于智能手机的生物传感器的尿素估计的开发消除了采购专用仪器以及培训的技术人员,与传统的实验室分析相比,日常监测和节省时间。 (c)2018年elestvier b.v.保留所有权利。

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