Wilkes Thomas C, McGonigle Andrew J S, Willmott Jon R, Pering Tom D, Cook Joseph M
Opt Lett. 2017 Nov 1;42(21):4323-4326. doi: 10.1364/OL.42.004323.
We report on the development of a low-cost spectrometer, based on off-the-shelf optical components, a 3D printed housing, and a modified Raspberry Pi camera module. With a bandwidth and spectral resolution of ≈60 nm and 1 nm, respectively, this device was designed for ultraviolet (UV) remote sensing of atmospheric sulphur dioxide (SO), ≈310 nm. To the best of our knowledge, this is the first report of both a UV spectrometer and a nanometer resolution spectrometer based on smartphone sensor technology. The device performance was assessed and validated by measuring column amounts of SO within quartz cells with a differential optical absorption spectroscopy processing routine. This system could easily be reconfigured to cover other UV-visible-near-infrared spectral regions, as well as alternate spectral ranges and/or linewidths. Hence, our intention is also to highlight how this framework could be applied to build bespoke, low-cost, spectrometers for a range of scientific applications.
我们报告了一种低成本光谱仪的开发情况，该光谱仪基于现成的光学组件、3D打印外壳和经过改装的Raspberry Pi相机模块。该设备的带宽和光谱分辨率分别约为60 nm和1 nm，专为对大气二氧化硫（SO，约310 nm）进行紫外（UV）遥感而设计。据我们所知，这是基于智能手机传感器技术的紫外光谱仪和纳米分辨率光谱仪的首份报告。通过使用差分光学吸收光谱处理程序测量石英池内SO的柱含量，对该设备的性能进行了评估和验证。该系统可以轻松重新配置，以覆盖其他紫外-可见-近红外光谱区域，以及其他光谱范围和/或线宽。因此，我们的目的还在于强调该框架如何能够应用于构建适用于一系列科学应用的定制低成本光谱仪。
