Citation: DUAN Chao-Shu, CAI Wen-Sheng, SHAO Xue-Guang. Multivariate Optical Computing and Next-generation Spectrometer[J]. Chinese Journal of Analytical Chemistry, ;2021, 49(4): 593-601. doi: 10.19756/j.issn.0253-3820.201436 shu

Multivariate Optical Computing and Next-generation Spectrometer

1.
Research Center for Analytical Sciences, College of Chemistry, Nankai University, Tianjin 300071, China;
2.
Tianjin Key Laboratory of Biosensing and Molecular Recognition, Tianjin 300071, China;
3.
State Key Laboratory of Medicinal Chemical Biology, Tianjin 300071, China

Corresponding author: SHAO Xue-Guang, xshao@nankai.edu.cn
Received Date: 26 July 2020
Revised Date: 19 October 2020

Fund Project: Supported by the National Natural Science Foundation of China (No.21775076) and the Foundation Research Funds for the Central Universities, Nankai University (No. 63191743).

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 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, much 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 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 were discussed, as well as the integration of the instrument system.
- Multivariate optical computing,
- Multivariate optical elements,
- Next-generation spectrometer,
- Chemometrics,
- Filter design,
- Review
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