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 $\approx 60\mathrm{nm}$ and 1 nm, respectively, this device was designed for ultraviolet (UV) remote sensing of atmospheric sulphur dioxide (${\mathrm{SO}}_2$), $\approx 310\mathrm{nm}$. 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 ${\mathrm{SO}}_2$ 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.

中文翻译：

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低成本3D打印的1 nm分辨率基于智能手机传感器的光谱仪：仪器设计和在紫外光谱中的应用

我们报告了基于现有光学组件，3D打印外壳和改良的Raspberry Pi相机模块的低成本光谱仪的开发情况。具有的带宽和光谱分辨率为$\approx 60\mathrm{纳米}$ 和分别为1 nm和1 nm，该设备被设计用于紫外线（UV）遥感大气中的二氧化硫（${\mathrm{所以}}_{\mathrm{2个}}$）， $\approx 310\mathrm{纳米}$。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次报道。通过测量色谱柱的色谱柱量来评估和验证设备性能${\mathrm{所以}}_{\mathrm{2个}}$在石英池中使用差分光学吸收光谱处理程序。该系统可以很容易地重新配置为覆盖其他UV-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如何将该框架应用于为一系列科学应用构建定制的低成本光谱仪。