Effect on the Partial Least-Squares Prediction of Yarn Properties Combining Raman and Infrared Measurements and Applying Wavelength Selection

Abstract

The combination of Raman and infrared spectroscopy on the one hand and wavelength selection on the other hand is used to improve the partial least-squares (PLS) prediction of seven selected yarn properties. These properties are important for on-line quality control during production. From 71 yarn samples, the Raman and infrared spectra are measured and reference methods are used to determine the selected properties. Making separate PLS models for all yarn properties using the Raman and infrared spectra, prior to wavelength selection, reveals that Raman spectroscopy outperforms infrared spectroscopy. If wavelength selection is applied, the PLS prediction error decreases and the correlation coefficient increases for all properties. However, a substantial wavelength selection effect is present for the infrared spectra compared to the Raman spectra. For the infrared spectra, wavelength selection results in PLS prediction errors comparable with the prediction performance of the Raman spectra prior to wavelength selection. Concatenating the Raman and infrared spectra does not enhance the PLS prediction performance, not even after wavelength selection. It is concluded that an infrared spectrometer, combined with a wavelength selection procedure, can be used if no (suitable) Raman instrument is available.

In‐line analysis of a fluid bed pellet coating process using a combination of near infrared and Raman spectroscopy

“…A similar observation was reported in Reference [33], where IR and Raman spectroscopic measurements were jointly involved into a regression modeling of yarn properties. In spite of various data pretreatments applied, including variable selection, no improvement of prediction performance with concatenated data compared to individual data blocks had been obtained.…”

Synergy Effect of Combining Fluorescence and Mid Infrared Fiber Spectroscopy for Kidney Tumor Diagnostics

“…However, the simple addition of any spectroscopic method does not generally result in synergy. For instance, a combination of MIR [ 39 ] or NIR [ 40 ] with Raman spectroscopy did not bring any accuracy gain of the target component determination. At the same time, the latter combination was profitable for another analyte [ 40 ].…”

Effect of Polymers and Storage Relative Humidity on Amorphous Rebamipide and Its Solid Dispersion Transformation: Multiple Spectra Chemometrics of Powder X-Ray Diffraction and Near-Infrared Spectroscopy

“…Alamprese et al, reported minced beef evaluation based on combining UV–vis, NIR, and MIR spectra [ 37 ]. De Groot et al, improved the predicted accuracy of yarn properties based on the combination of selected MIR and Raman spectra [ 38 ].…”