van Elst D M J, van Klinken A, Cano-Velázquez M S, Ou F, Li C, Hakkel K D, Petruzzella M, Pagliano F, van Veldhoven R P J, Fiore A
Department of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.
MantiSpectra B.V., High Tech Campus 9, 5656 AE Eindhoven, The Netherlands.
ACS Photonics. 2025 Jul 23;12(8):4723-4730. doi: 10.1021/acsphotonics.5c01213. eCollection 2025 Aug 20.
Near-infrared spectral sensing serves as a powerful technique for nondestructive analysis of material composition in a wide field of applications. A typical spectral sensor comprises an array of detectors, each with a response in a certain spectral band. We demonstrate an algorithm capable of tailoring these sensors for a specific near-infrared spectroscopy application by optimizing for all possible combinations of spectral bands. This approach outperforms manually selected designs, achieving high sensing performance even with just a few pixels. The results are confirmed by experiments on fabricated four-pixel devices, which feature a sensing accuracy exceeding the one of general-purpose sensors for a problem of practical relevance. This approach may enable cost-effective spectral sensors with simple read-out mechanisms for industrial and consumer applications.
近红外光谱传感是一种强大的技术，可用于广泛应用领域中材料成分的无损分析。典型的光谱传感器由探测器阵列组成，每个探测器在特定光谱带内都有响应。我们展示了一种算法，该算法能够通过针对光谱带的所有可能组合进行优化，为特定的近红外光谱应用定制这些传感器。这种方法优于手动选择的设计，即使只有几个像素也能实现高传感性能。在制造的四像素器件上进行的实验证实了这些结果，该器件在一个具有实际相关性的问题上，其传感精度超过了通用传感器。这种方法可能使具有简单读出机制的经济高效的光谱传感器用于工业和消费应用。
