ArticleNature communications2022
Fully lignocellulose-based PET analogues for the circular economy.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 61 citations in OpenAlex.
- Navigating the Forest of Lignin-Derived Monomers for Polymer Synthesis.Biomacromolecules · 2026Review
- Room temperature catalytic upgrading of unpurified lignin depolymerization oil into bisphenols and butene-2.Nature communications · 2024Article
- Article
- Harnessing Atomically Dispersed Cobalt for the Reductive Catalytic Fractionation of Lignocellulose.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Circularizing PET-G Multimaterials: Life Cycle Assessment and Techno-Economic Analysis.ACS sustainable chemistry & engineering · 2023Article
- High yield production of 1,4-cyclohexanediol and 1,4-cyclohexanediamine from high molecular-weight lignin oil.Green chemistry : an international journal and green chemistry resource : GC · 2023Article
- Closed-loop chemical recycling of cross-linked polymeric materials based on reversible amidation chemistry.Nature communications · 2022Article
- A Diamine-Oriented Biorefinery Concept Using Ammonia and Raney Ni as a Multifaceted Catalyst.Chemie-ingenieur-technik · 2022Article
- Primary amines from lignocellulose by direct amination of alcohol intermediates, catalyzed by RANEY® Ni.Catalysis science & technology · 2022Article
- Peroxyacetic Acid Pretreatment: A Potentially Promising Strategy towards Lignocellulose Biorefinery.Molecules (Basel, Switzerland) · 2022Review
- One-Pot Catalytic Conversion of Lignin-Derivable Guaiacols and Syringols to Cyclohexylamines.ChemSusChem · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polyethylene terephthalate is one of the most abundantly used polymers, but also a significant pollutant in oceans. Due to growing environmental concerns, polyethylene terephthalate alternatives are highly sought after. Here we present readily recyclable polyethylene terephthalate analogues, made entirely from woody biomass. Central to the concept is a two-step noble metal free catalytic sequence (Cu20-PMO catalyzed reductive catalytic fractionation and Raney Ni mediated catalytic funneling) that allows for obtaining a single aliphatic diol 4-(3-hydroxypropyl) cyclohexan-1-ol in high isolated yield (11.7 wt% on lignin basis), as well as other product streams that are converted to fuels, achieving a total carbon yield of 29.5%. The diol 4-(3-hydroxypropyl) cyclohexan-1-ol is co-polymerized with methyl esters of terephthalic acid and furan dicarboxylic acid, both of which can be derived from the cellulose residues, to obtain polyesters with competitive Mw and thermal properties (T
Indexed as
Identifiers
What OpenQuestion holds
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.