School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, 99164 USA.
School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, 99164 USA.
Biosens Bioelectron. 2017 Jan 15;87:686-692. doi: 10.1016/j.bios.2016.09.021. Epub 2016 Sep 9.
Current reported smartphone spectrometers are only used to monitor or measure one sample at a time. For the first time, we demonstrate a multichannel smartphone spectrometer (MSS) as an optical biosensor that can simultaneously optical sense multiple samples. In this work, we developed a novel method to achieve the multichannel optical spectral sensing with nanometer resolution on a smartphone. A 3D printed cradle held the smartphone integrated with optical components. This optical sensor performed accurate and reliable spectral measurements by optical intensity changes at specific wavelength or optical spectral shifts. A custom smartphone multi-view App was developed to control the optical sensing parameters and to align each sample to the corresponding channel. The captured images were converted to the transmission spectra in the visible wavelength range from 400nm to 700nm with the high resolution of 0.2521nm per pixel. We validated the performance of this MSS via measuring the concentrations of protein and immunoassaying a type of human cancer biomarker. Compared to the standard laboratory instrument, the results sufficiently showed that this MSS can achieve the comparative analysis detection limits, accuracy and sensitivity. We envision that this multichannel smartphone optical biosensor will be useful in high-throughput point-of-care diagnostics with its minimizing size, light weight, low cost and data transmission function.
目前报道的智能手机光谱仪一次仅用于监测或测量一个样本。我们首次展示了一种多通道智能手机光谱仪(MSS)作为一种光学生物传感器,能够同时光学感应多个样本。在这项工作中,我们开发了一种新方法,在智能手机上实现了具有纳米分辨率的多通道光学光谱感应。一个 3D 打印的支架固定了集成有光学元件的智能手机。该光学传感器通过特定波长的光强变化或光光谱移动来进行准确可靠的光谱测量。开发了一个定制的智能手机多视图应用程序来控制光学传感参数,并将每个样本与相应的通道对齐。通过将捕获的图像转换为在 400nm 至 700nm 的可见波长范围内的传输光谱,像素的分辨率高达 0.2521nm。我们通过测量蛋白质浓度和免疫测定一种人类癌症生物标志物来验证该 MSS 的性能。与标准实验室仪器相比,结果充分表明,该 MSS 可以实现可比的分析检测限、准确性和灵敏度。我们设想这种多通道智能手机光学生物传感器将因其尺寸小、重量轻、成本低和数据传输功能而在高通量即时诊断中具有应用价值。