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An immunoblot-based optical biosensor for screening of osteoarthritis using a smartphone-embedded illuminometer

机译:基于免疫印迹的光学生物传感器,用于使用智能手机嵌入式照度计筛查骨关节炎

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We report a new smartphone-based immunosensing system that integrates an immunoblotting assay and a built-in illumination sensor to assay an osteoarthritis marker. The simple optical biosensing system developed in this study effectively uses smartphone-embedded components such as a white light-emitting diode and an illumination sensor as the light source and optical receiver, respectively. In contrast to conventional optical sensors, which utilize a specific spectrum and focused wavelength, the illumination sensor sensitively responds to the variations in external light intensity over a wide range of wavelengths. This functionality of the illumination sensor in the smartphone was employed as a signal transducer in the optical system. The immunoblotting technique, which uniformly changes the intensity of light because of the precipitation reaction, was introduced into the developed optical system. The horseradish peroxidase-induced insoluble precipitate interferes with the penetration of incident light, thereby facilitating the variation of applied light intensity. Subsequently, the quantity of light passing through the biosensing channel was immediately analysed using a lux meter in the mobile application. Herein, the urinary C-terminal telopeptide fragment of type II collagen (uCTX-II) was selected as an osteoarthritis biomarker and analysed to demonstrate the feasibility of the developed illumination sensor. The results indicate an obvious change in the lux value in accordance with the uCTX-II concentration ranging from 0 to 10 ng mLa?’1. The results were highly reproducible and sensitive to the variations in the concentration of the analyte. This suggests the potential use of the developed illumination sensor as a promising tool for the quantitative diagnosis of target analytes and point-of-care testing.
机译:我们报告了一个新的基于智能手机的免疫传感系统,该系统集成了免疫印迹测定法和内置照明传感器以测定骨关节炎标记物。在这项研究中开发的简单光学生物传感系统有效地利用了嵌入智能手机的组件,例如白光发光二极管和照明传感器,分别作为光源和光接收器。与利用特定光谱和聚焦波长的常规光学传感器相比,照明传感器在很宽的波长范围内敏感地响应外部光强度的变化。智能手机中照明传感器的这一功能被用作光学系统中的信号转换器。由于沉淀反应而均匀改变光强度的免疫印迹技术被引入到开发的光学系统中。辣根过氧化物酶诱导的不溶性沉淀物干扰入射光的穿透,从而促进了施加光强度的变化。随后,立即在移动应用中使用勒克斯计对通过生物传感通道的光量进行了分析。在此,选择II型胶原的尿C端端肽片段(uCTX-II)作为骨关节炎生物标志物,并进行分析以证明开发的照明传感器的可行性。结果表明,根据uCTX-II浓度(从0到10 ng mLa?-1),lux值发生了明显变化。结果是高度可重复的,并且对分析物浓度的变化敏感。这表明开发的照明传感器有可能用作目标分析物定量诊断和即时检验的有前途的工具。

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