Evidence map›Paper›PMID 42046271›Full record

ArticleThe journal of physical chemistry. B2026

Water-Network-Triggered Breakdown: Multiscale Theoretical Insights into PET Hydrolysis under Working Conditions.

Shuangxiu Max Ma, Changlong Zou, Bhavik R Bakshi, Li-Chiang Lin

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shuangxiu Max MaWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States.
Changlong ZouWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States.ORCID 0000-0002-1390-5859
Bhavik R BakshiSchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, Arizona 85281, United States.ORCID 0000-0002-6604-8408
Li-Chiang LinWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States.ORCID 0000-0002-2821-9501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyethylene terephthalate (PET) undergoes depolymerization in the presence of active water, a principle that is widely utilized in innovative chemical-recycling reactors. However, the intertwined effects of water sorption, nanoscale reconfiguration, and the energetics of ester bonds remain predominantly unquantified. Here, a multiscale workflow is developed that links sorption thermodynamics to reaction kinetics by combining molecular simulations with density functional theory (DFT). Simulations quantify PET water uptake, swelling, and water mobility under reactor-relevant conditions and reveal a clear hydration threshold in the polymer phase: when hydration remains below this level, water access is limited and chain scission events are rare; once hydration exceeds it, interconnected water clusters form and hydrolysis accelerates sharply. Above the threshold, end-initiated "peeling" becomes dominant, rapidly producing MHET/BHET and ultimately terephthalic acid (TPA) and ethylene glycol (EG) as reactions proceed within these active water domains. DFT further explains this rate jump: extended hydrogen-bond networks in clustered water enable proton-relay assistance, which stabilizes the tetrahedral intermediate and lowers the hydrolysis barrier compared with attack by an isolated water molecule. Incorporating these barrier reductions together with simulation-derived, loading-dependent water mobility into a kinetic model reproduces both the acceleration at high water availability and the slowdown as water is depleted, clarifying when uptake, transport, or intrinsic chemistry is rate-determining. Overall, the results provide a quantitatively predictive, theory-based description of PET hydrolysis under realistic reactor conditions and translate directly into design principles for tunable, high-efficiency polyester depolymerization.

Identifiers

PMID42046271
PMCPMC13158921

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.