Evidence map›Paper›PMID 37612817›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

A Competitive High-Throughput Screening Platform for Designing Polylactic Acid-Specific Binding Peptides.

Yi Lu, Kai-Wolfgang Hintzen, Tetiana Kurkina, Yu Ji, Ulrich Schwaneberg

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

5 authors at 2 institutions in 1 country.

Yi LuInstitute of Biotechnology, RWTH Aachen University, 52074, Aachen, Germany.
Kai-Wolfgang HintzenInstitute of Biotechnology, RWTH Aachen University, 52074, Aachen, Germany.
Tetiana KurkinaInstitute of Biotechnology, RWTH Aachen University, 52074, Aachen, Germany.
Yu JiInstitute of Biotechnology, RWTH Aachen University, 52074, Aachen, Germany.
Ulrich SchwanebergInstitute of Biotechnology, RWTH Aachen University, 52074, Aachen, Germany.ORCID 0000-0003-4026-701X
RWTH Aachen University · DEDWI – Leibniz Institute for Interactive Materials · DE

Funding

China Scholarship CouncilEuropean Union's Horizon 2020 research and innovation program 870294
6 · The paper itself

Abstract

Among biobased polymers, polylactic acid (PLA) is recognized as one of the most promising bioplastics to replace petrochemical-based polymers. PLA is typically blended with other polymers such as polypropylene (PP) for improved melt processability, thermal stability, and stiffness. A technical challenge in recycling of PLA/PP blends is the sorting/separation of PLA from PP. Material binding peptides (MBPs) can bind to various materials. Engineered MBPs that can bind in a material-specific manner have a high potential for material-specific detection or enhanced degradation of PLA in mixed PLA/PP plastics. To obtain a material-specific MBP for PLA binding (termed PLA

Indexed as

High-Throughput Screening AssaysPolyestersPeptidesPolymersPolypropylenesPeptidesPolyesterspoly(lactide)PolymersPolypropylenesbinding specificitydirected evolutionhigh-throughput screeningmaterial binding peptidesmixed plasticspolylactic acidpolypropylene

Identifiers

PMID37612817
PMCPMC10582454
OpenAlexW4386116275

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.