ArticleACS central science2024
Tracking Chain Populations and Branching Structure during Polyethylene Deconstruction Processes.
Article in ACS central science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Impact of Small-Alkane Solvents on Polyolefin Hydrogenolysis over a Ruthenium Catalyst.Industrial & engineering chemistry research · 2026Article
- Novel Applications of Successive Self-nucleation and Annealing Thermal Fractionation for Polymer Characterization.ACS applied polymer materials · 2026Review
- Mechanistic Pathways and Product Selectivity in Pyrolysis of PE, PP and PVC: A Foundation for Applied Chemistry in Europe.Molecules (Basel, Switzerland) · 2026Review
- Tuning High-Density Polyethylene Microstructure and Properties from Known Distributions of Dynamic Bonds.Journal of the American Chemical Society · 2025Article
- Cellulosic Functional Bioplastic with Tunable Strength and Toughness Through Heat-Treatment of Dynamic Covalent Networks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- High-Temperature Size Exclusion Chromatography for Advanced Recycling: Systematic Errors in Analysis of PolyethyleneAlkane Mixtures.ACS applied polymer materials · 2025Article
- Anionic Surfactants from Reactive Separation of Hydrocarbons Derived from Polyethylene Upcycling.Langmuir : the ACS journal of surfaces and colloids · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Catalytic deconstruction has emerged as a promising solution to valorize polyethylene (PE) waste into valuable products, such as oils, fuels, surfactants, and lubricants. Unfortunately, commercialization has been hampered by inadequate optimization of PE deconstruction due to an inability to either truly characterize the polymer transformations or adjust catalytic conditions to match the ever-evolving product distribution and associated property changes. To address these challenges, a detailed analysis of molar mass distributions and thermal characterization was developed herein and applied to low-density polyethylene (LDPE) deconstruction to enable more thorough identification of polymer chain characteristics within the solids (e.g., changes in molar mass or branching structure). For example, LDPE hydrocracking exhibited comparable rates of polymer chain isomerization and C-C bond scission, and the solids generated possessed a broadened molar mass distribution with a disappearance of a significant fraction of highly linear segments, indicating polymer-structure-dependent interactions with the catalyst. Solids analysis from pyrolysis yielded starkly different results, as the resulting solids were devoid of unreacted polymer chains and had a narrowed molar mass distribution even at short times (e.g., 0.2 h). By tracking the polymeric deconstruction behavior as a function of reaction type, time, and catalyst design, we mapped critical pathways toward PE valorization.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.