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Updated: Aug 10, 2026

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
Published on: November 8, 2019
[The application of correlation detection to near-infrared spectroscopy]
Qing-Ge Liu1, Ding-Rong Shao, Shu-Jian Li
1Beijing University of Aeronautics and Astronautics, Beijing 100083, China.
Abstract:
Correlation detection was applied to near-infrared spectroscopy (NIRS) to extract the signal feature in the present paper. With metronidazole tablets as the object, the correlation both between each pure components and between pure metronidazole and different component-content mixtures were obtained. The results show that through correlation processing, the information feature of spectra could be separated and strengthened, and so better fitted to realize qualitative and quantitative spectrochemical analysis. Besides, the impact of noise could be lowered in this process. The conclusion is that correlation detection is an effective way to extract feature information and can be considered as a new solution to the problems of spectral superposition and low information rate in NIRS.
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