Chemometric technique for predicting styrene content in butadiene-styrene resin with an on-line NMR system

An on-line process of using a predictive data set to predict the concentration of styrene in K-Resin, said process comprising:

• (a) obtaining an unknown sample set, wherein each unknown sample comprises K-Resin;
• (b) obtaining a free induction decay for each said unknown sample to produce a free induction decay data set containing a plurality of data points;
• and
• (c) applying said free induction decay data set to said predictive data set using partial-least squares analysis to predict a concentration of styrene in each said unknown sample of K-Resin.

An on-line process to predict the concentration of xylene soluble polypropylene in a composition, said process comprising:

• (a) producing a predictive data set, said predictive data set generated by:
• (a1) obtaining a first sample set, wherein each sample comprises K-Resin;
• (a2) obtaining a measured concentration of styrene for each sample of said first sample set to produce a styrene data set;
• (a3) obtaining a free induction decay for each said sample to produce a free induction decay data set;
• (a4) analyzing said free induction decay data set using principle component analysis to produce a principle component data set;
• (a5) analyzing said styrene data set, said free induction decay data set, and said principle component data set using partial-least squares analysis to produce a training data set;
• (a6) validating said training data set to produce said predictive data set;
• (b) using said predictive data set to predict the concentration of styrene, said concentration predicted by:
• (b1) obtaining an unknown sample set, wherein each unknown sample in said unknown sample set contains K-Resin;
• (b2) obtaining a free induction decay for each said unknown sample to produce a second free induction decay data set;
• and
• (b3) applying said second free induction decay data set to said predictive data set using partial-least squares analysis to predict a concentration of styrene in each said sample.