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arXiv · 2502.08749

Optical Convolutional Spectrometer

Chunhui Yao·Jie Ma·Ningning Wang·Peng Bao·Wei Zhuo·Tao Zhang·Wanlu Zhang·Kangning Xu·Ting Yan·Liang Ming·Yuxiao Ye·Tawfique Hasan·Ian White·Richard Penty·Qixiang Cheng
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Abstract

Optical spectrometers are fundamental across numerous disciplines in science and technology. However, miniaturized versions, while essential for in situ measurements, are often restricted to coarse identification of signature peaks and inadequate for metrological purposes. Here, we introduce a new class of spectrometer, leveraging the convolution theorem as its mathematical foundation. Our convolutional spectrometer offers unmatched performance for miniaturized systems and distinct structural and computational simplicity, featuring a centimeter-scale footprint for the fully packaged unit, low cost (~$10) and a 2400 cm-1 (approximately 500 nm) bandwidth. We achieve excellent precision in resolving complex spectra with sub-second sampling and processing time, demonstrating a wide range of applications from industrial and agricultural analysis to healthcare monitoring. Specifically, our spectrometer system classifies diverse solid samples, including plastics, pharmaceuticals, coffee, flour and tea, with 100% success rate, and quantifies concentrations of aqueous and organic solutions with detection accuracy surpassing commercial benchtop spectrometers. We also realize the non-invasive sensing of human biomarkers, such as skin moisture (mean absolute error; MAE = 2.49%), blood alcohol (1.70 mg/dL), blood lactate (0.81 mmol/L), and blood glucose (0.36 mmol/L), highlighting the potential of this new class of spectrometers for low-cost, high-precision, portable/wearable spectral metrology.

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Chunhui Yao, Jie Ma, Ningning Wang, Peng Bao, Wei Zhuo, Tao Zhang, Wanlu Zhang, Kangning Xu, Ting Yan, Liang Ming, Yuxiao Ye, Tawfique Hasan, Ian White, Richard Penty, Qixiang Cheng. 2025-02-12. Optical Convolutional Spectrometer. https://arxiv.org/abs/2502.08749

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