Polymer Molecular Weight Distributions: A Tutorial on Transformations between Number Density, Mass Density, and Linear/Logarithmic Axes

The demand for plastic has made nonbiodegradable plastic waste a global environmental problem. Chemical processes for polymer upcycling aim to convert plastic waste into value-added products. Many research efforts draw insights about the kinetics and mechanism of depolymerization reactions from the evolving molecular weight distribution (MWD). However, MWDs are reported in several different representations: as fractional-mass distributions or fractional-molar distributions, and on linear or logarithmic molecular mass scales. Conversion from one representation to another can dramatically change the appearance of the MWD. This tutorial discusses some common techniques for molecular weight characterization and quantitative interpretations for the raw data. We provide formulas to transform between representations of the MWD data, to change variables within population balance equations that predict time evolution of the MWD, and to create composite MWDs (with uncertainty estimates) from experiments in different but overlapping molecular weight ranges.

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Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2025-02-06
DOI
https://doi.org/10.1021/acs.iecr.4c04233
Citations
1
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
0.50

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article

Polymer Molecular Weight Distributions: A Tutorial on Transformations between Number Density, Mass Density, and Linear/Logarithmic Axes

Baron Peters, Aaron D. Sadow, Changhae Andrew Kim, Ziqiu Chen et al.
1 citations
Industrial & Engineering Chemistry Research
Microplastics and Plastic Pollution
0.50
article

Polymer Molecular Weight Distributions: A Tutorial on Transformations between Number Density, Mass Density, and Linear/Logarithmic Axes

Baron Peters, Aaron D. Sadow, Changhae Andrew Kim, Ziqiu Chen, Yiyu Wang, Anne M. LaPointe
article en
1 citations

Abstract

The demand for plastic has made nonbiodegradable plastic waste a global environmental problem. Chemical processes for polymer upcycling aim to convert plastic waste into value-added products. Many research efforts draw insights about the kinetics and mechanism of depolymerization reactions from the evolving molecular weight distribution (MWD). However, MWDs are reported in several different representations: as fractional-mass distributions or fractional-molar distributions, and on linear or logarithmic molecular mass scales. Conversion from one representation to another can dramatically change the appearance of the MWD. This tutorial discusses some common techniques for molecular weight characterization and quantitative interpretations for the raw data. We provide formulas to transform between representations of the MWD data, to change variables within population balance equations that predict time evolution of the MWD, and to create composite MWDs (with uncertainty estimates) from experiments in different but overlapping molecular weight ranges.

Industrial & Engineering Chemistry ResearchVol. 64(7)
University of Illinois Urbana-Champaign (US), Iowa State University (US), Cornell University (US), Ames National Laboratory (US)
Energy Frontier Research Centers
Openalex Percentile: Top 43%
Microplastics and Plastic Pollution
0.50
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Polymer Molecular Weight Distributions: A Tutorial on Transformations between Number Density, Mass Density, and Linear/Logarithmic Axes — Baron Peters, Aaron D. Sadow, et al. · Industrial & Engineering Chemistry Research (2025) | TGRS Research Map | TGRS