NIR Spectrum Data Acquisition with Fourier Transform (FT)-NIR Process Spectrometer
2:27
NIR Spectroscopy Data Pre-Processing
3:35
Establishment of Partial Least Squares Regression (PLSR) Model
4:51
Results: Accuracy and Stability of the Method for Predicting the Purity of O-cresol Products
5:47
Conclusion
Transcripción
The significance of this experimental manuscript lies in the applications of near-infrared spectroscopy and the data mining algorithms to the online monitoring of actual process industry. The biggest advantages of this technology lie in its rapidi
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The protocol describes a method of predicting o-cresol concentration during the production of polyphenylene ether using near-infrared spectroscopy and partial least squares regression. To describe the process more clearly and completely, an example of predicting the o-cresol concentration during the production of polyphenylene is used to clarify the steps.