Polymorphism is an important property in the quality control of pharmaceutical products. In this regard, partial least squares regression and the net analytical signal were used to build and validate a multivariate calibration model using diffuse reflectance infrared spectroscopy in the region of 90
Simultaneous determination of molecular weight and crystallinity of recycled HDPE by infrared spectroscopy and multivariate calibration
β Scribed by Walker Camacho; Sigbritt Karlsson
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 109 KB
- Volume
- 85
- Category
- Article
- ISSN
- 0021-8995
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract The goal of this paper is the development of a multivariate calibration method for the quantitative determination of petroleum hydrocarbons in water and waste water by using FTβIR spectroscopy and PLS as a regression method to improve the results attained at the present time through the
Diffuse reflectance FTIR spectroscopy (DRIFTS) coupled with modern multivariate calibration methods, namely artificial neural networks (ANNs) in two versions (ANN-raw and ANN-pca), support vector machines (SVMs), lazy learning (LL) and partial least squares (PLS) regression, is used in this study fo
COMMUNICATION TO THE EDITOK ## Determination of the Diflusion Coeficient und Molecular Weight of Tamm-Horsfall Glycoprotein b y Intensity ## Fl u c t ua tion Spectroscopy Alt,horigh the iirinaiy glycoprotein isolated by Tamm and IIorsfall t weiity years agol.2 has been well characterized chemi