1999
DOI: 10.1002/(sici)1099-0518(19991015)37:20<3793::aid-pola8>3.0.co;2-q
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Nonlinear regression by visualization of the sum of residual space applied to the integrated copolymerization equation with errors in all variables. I. Introduction of the model, simulations and design of experiments

Abstract: A new model for estimating reactivity ratios using the integrated copolymerization equation is presented. The model is a general nonlinear least squares method taking the error in both monomer conversion and monomer fraction into account by a relation between these two variables. Simulations show that the model is able to predict reactivity ratios successfully. Special attention is given to experimental design, i.e., at which initial monomer feed ratios the experiments should be performed in order to obtain re… Show more

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Cited by 38 publications
(25 citation statements)
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“…The utilized experimental technique allowed reliable and comprehensive kinetic data ( i.e. , evolution in time of the conversion of the monomers, and molar mass and dispersity of the formed polymers) to be collected in a short period of time; this kinetic information was used to estimate the reactivity ratios of the co‐monomer system using a computer program1 based on the visualization of the sum of residual space method developed by van Herk and co‐workers 21. The obtained reactivity ratios of the system are in good agreement with literature values 22.…”
Section: Introductionsupporting
confidence: 67%
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“…The utilized experimental technique allowed reliable and comprehensive kinetic data ( i.e. , evolution in time of the conversion of the monomers, and molar mass and dispersity of the formed polymers) to be collected in a short period of time; this kinetic information was used to estimate the reactivity ratios of the co‐monomer system using a computer program1 based on the visualization of the sum of residual space method developed by van Herk and co‐workers 21. The obtained reactivity ratios of the system are in good agreement with literature values 22.…”
Section: Introductionsupporting
confidence: 67%
“…The kinetic information obtained from the high‐throughput experiment was used to determine the reactivity ratios of the monomers in the copolymerization system. Point estimates and joint confidence intervals for the reactivity ratios were determined using the visualization of the sum of squares method developed by van Herk and co‐workers 21. The integrated copolymerization equation was fitted to conversion, monomer fraction and copolymer composition data, assuming non‐negligible errors in all variables.…”
Section: Resultsmentioning
confidence: 99%
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“…The usefulness of this method was confirmed previously. 18,25 The appropriate calculations were performed with help of computer program COPOINT, which was written specifically for this type of calculation. 26 For applied numerical integration technique calculations, the least-squares model was used.…”
Section: Calculation Of Reactivity Ratiosmentioning
confidence: 99%
“…The conversion of the two monomers versus time for the two comonomer feeds is represented in Figures S8 and S9 in SI. Then the reactivity ratios were determined by fitting the integrated form of the copolymer composition equation to the monomer feed composition versus conversion data using the visualization of the sum of squares method developed by van den Brink et al, 23 assuming non-negligible errors in both variables. This procedure gave a point estimate of 1.34 for r VTFBu and 1.16 for r VAc , with a 95% joint confidence region spanning the range of 1.21−1.48 for r VTFBu and 1.08−1.26 for r VAc (see Figure S10).…”
mentioning
confidence: 99%