Multivariate optical computing (MOC) is a technique that uses optical filters to modulate the light to achieve calculation and obtain qualitative or quantitative results directly by detection of a single-point detector. Therefore, the complicated instrument design and cumbersome data processing are no longer needed for the MOC-based analytical instrument. The key technique for MOC is the design of the filter to achieve the detection that directly reflects the result for different purposes. In recent years, more efforts have been made for designation and optimization of the filters to enhance the performance. MOC-based spectrometer is a perfect combination of chemometrics and instrument design, and thus it is praised as the next-generation spectrometer. In this paper, the history, principle and the recent advances of MOC related techniques were summarized, with an emphasis on the filter design, filter optics and applications, and the challenges in the design and the optical implementation of the filters, as well as the integration of the instrument system.

多元光学计算（MOC）是一种使用滤光器调制光以实现计算并通过检测单点检测器直接获得定性或定量结果的技术。因此，基于MOC的分析仪器不再需要复杂的仪器设计和繁琐的数据处理。MOC的关键技术是滤波器的设计，以实现直接反映结果用于不同目的的检测。近年来，人们在设计和优化滤波器方面做出了更多努力，以提高性能。基于MOC的光谱仪是化学计量学和仪器设计的完美结合，因此被誉为下一代光谱仪。在本文中，历史