微小型 MEMS-FPI 近红外光谱仪

Traditional near-infrared spectrometers are bulky and expensive，limiting their widespread application. Based on Hamamatsu′s MEMS-FPI near-infrared spectroscopy sensor C14272，this research successfully developed a miniaturized near-infrared spectrometer operating in the 1350-1650 nm wavelength range. The system adopts a modular architecture，integrating efficient signal acquisition and data processing units，significantly reducing system costs. Through systematic performance evaluation，including wavelength accuracy，spectral resolution，dynamic range，and other metrics，combined with a temperature characteristic compensation algorithm that effectively suppresses temperature drift effects，experimental results demonstrate that this spectroscopic analysis system possesses excellent stability and reproducibility，with a spectral resolution of approximately 15. 2 nm. Combined with a convolutional neural network algorithm，the glucose solution concentration prediction model exhibits high accuracy（R²>0. 99）and low error rates（RMSE<0. 2%）when detecting unknown samples. The developed miniaturized near-infrared spectrometer provides an economical and efficient solution for biomedical detection and food quality analysis.