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O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
Published on: November 8, 2019
[The effects of noise on NIR analysis and related mathematic pretreatments and models]
1College of Agronomy and Biotechnology, China Agricultural University, Beijing 100094, China.
Abstract:
The feasibility of using a relatively high noise NIR spectrometer for analysis was examined by using maize powder samples. The results showed that with four-time averaged NIR spectrum data without more pretreatments, PLS mathematic models and CAU-NIR software, the relative high noise scan NIR spectrometer could be used to get satisfied prediction results compared with other low noise NIR spectrometers. The prediction coefficient could reach 98% and the CV (variation coefficient) was 6.2%. It was proved that when the S/N of NIR spectrometer was lower than 10(5), it still could be used for quantity analysis with the help of some mathematic pretreatments and models.
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