IEEE Trans Biomed Circuits Syst. 2019 Dec;13(6):1518-1524. doi: 10.1109/TBCAS.2019.2939658. Epub 2019 Sep 5.
Excess limit of Nitrites, which are prevalent within environmental and physiological systems, have severe detrimental effects, thus point-of-source detection becomes an important requirement to take suitable preventive measures. This paper presents the design and development of a standalone, point-of-source, portable, low-cost, automated and integrated microfluidic system for quick detection and quantification of nitrite. Based on multiphysics simulations, a disposable polydimethylsiloxane (PDMS) microfluidic device was employed to carry out the controlled Griess reaction based assay. A low-cost 3D printed syringe pump was developed to inject the sample and reagent. Photometric detection was employed using light emitting diode (LED) and photodiode. A transimpedance amplifier circuit was designed and fabricated to achieve amplified photodiode output with reduced noise. An off-the-shelf microprocessor was used to integrate the whole system and a smartphone application (app) was developed to control the complete system and store the data. Interaction between the application and the microprocessor was achieved using Bluetooth connectivity. Spectrophotometric validation was performed and a calibration equation was obtained which was used to convert the device voltage output to absorption, through specially programmed android app. All the components were integrated in a 3D printed platform whose virtues such as ease of usage and affordability makes, quantification of nitrite, a simple and real time process wherein the limit of detection and limit of quantification values are found to be 0.07103 ppm and 0.21524 ppm respectively with good repeatability.
环境和生理系统中普遍存在的亚硝酸盐含量超标会产生严重的有害影响,因此,在源头进行检测成为采取适当预防措施的重要要求。本文提出了一种独立的、源头的、便携式、低成本、自动化和集成的微流控系统的设计和开发,用于快速检测和定量亚硝酸盐。基于多物理场模拟,采用一次性聚二甲基硅氧烷(PDMS)微流控器件进行基于格里斯反应的控制分析。开发了一种低成本的 3D 打印注射器泵来注入样品和试剂。采用发光二极管(LED)和光电二极管进行光度检测。设计并制造了跨阻放大器电路,以实现放大光电二极管输出并降低噪声。使用市售的微处理器集成整个系统,并开发了一个智能手机应用程序(app)来控制整个系统并存储数据。应用程序和微处理器之间的交互通过蓝牙连接实现。进行了分光光度验证,并获得了校准方程,通过专门编写的安卓应用程序,将设备的电压输出转换为吸收值。所有组件都集成在一个 3D 打印平台中,该平台具有易用性和可负担性等优点,使亚硝酸盐的定量成为一个简单的实时过程,检测限和定量限分别为 0.07103ppm 和 0.21524ppm,重复性好。