剑桥大学研究人员与初创公司GlitterinTech联合开发了一种新型光学光谱仪芯片，成本仅约10美元1。该芯片利用卷积定理在光学域直接进行数学运算，实现了实验室级精度与微型化的结合1。
这一芯片在实际应用中展现了出色的性能。在塑料、药物、咖啡、面粉和茶的识别测试中，其分类成功率达到100%1。对于水基和有机溶液浓度的测量，精度约为0.01%，超越了现有商用台式光谱仪的水平1。该设备在近红外波长范围（1200-1700纳米）运行，可在一秒内完成测量数据的收集和处理1，并能在-20°C至80°C的温度范围内可靠运行1。
在生物医学应用方面，研究人员成功演示了该芯片进行非侵入式血糖监测的能力1，同时还能监测酒精和乳酸等其他生物标志物1。相关研究已发表于《Nature Photonics》2026年第20卷第6期1。
Researchers at Cambridge University have created a miniaturized optical spectrometer chip costing approximately $10 that leverages convolution theorem to perform mathematical operations directly in the optical domain, combining laboratory-grade precision with portability 1. The device demonstrates exceptional accuracy across multiple applications, achieving 100% classification success in identifying plastics, pharmaceuticals, coffee, flour, and tea 1.
The chip's performance surpasses conventional desktop spectrometers in measuring concentrations of aqueous and organic solutions, with precision reaching approximately 0.01% 1. Operating in the near-infrared wavelength range of 1200-1700 nanometers, it can collect and process measurement data within one second and functions reliably across temperatures from -20°C to 80°C 1. Researchers have successfully demonstrated its capability for non-invasive monitoring of biomarkers including blood glucose, alcohol, and lactate levels 1.
The technology was jointly developed by Cambridge University and GlitterinTech, a startup company, with findings published in Nature Photonics, volume 20, issue 6, in 2026 1. The breakthrough opens broad applications in medical diagnostics and industrial quality control by enabling portable laboratory-grade analysis capabilities 1.
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