Evidence map›Paper›PMID 23344431›Full record

ArticleNature chemistry2013

A backbone lever-arm effect enhances polymer mechanochemistry.

Hope M Klukovich, Tatiana B Kouznetsova, Zachary S Kean, Jeremy M Lenhardt, Stephen L Craig

Abstract read
PubMed Publisher
In one paragraph

Article in Nature chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Mechanochemistry: Fundamental Principles and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Furan Release via Force-Promoted Retro-[4+2][3+2] Cycloaddition.Journal of the American Chemical Society · 2023
    Article
  12. Editing of polymer backbones.Nature reviews. Chemistry · 2023
    Review
  13. Article
  14. Article
  15. Off-center Mechanophore Activation in Block Copolymers.Angewandte Chemie (International ed. in English) · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Single-Molecule Force Spectroscopy of a Tetraaryl Succinonitrile Mechanophore.The journal of physical chemistry. C, Nanomaterials and interfaces · 2022
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Hope M KlukovichDepartment of Chemistry, Duke University, Durham, North Carolina 27708, USA.
Tatiana B Kouznetsova
Zachary S Kean
Jeremy M Lenhardt
Stephen L Craig

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical forces along a polymer backbone can be used to bring about remarkable reactivity in embedded mechanically active functional groups, but little attention has been paid to how a given polymer backbone delivers that force to the reactant. Here, single-molecule force spectroscopy was used to directly quantify and compare the forces associated with the ring opening of gem-dibromo and gem-dichlorocyclopropanes affixed along the backbone of cis-polynorbornene and cis-polybutadiene. The critical force for isomerization drops by about one-third in the polynorbornene scaffold relative to polybutadiene. The root of the effect lies in more efficient chemomechanical coupling through the polynorbornene backbone, which acts as a phenomenological lever with greater mechanical advantage than polybutadiene. The experimental results are supported computationally and provide the foundation for a new strategy by which to engineer mechanochemical reactivity.

Indexed as

ButadienesComputer SimulationElastomersMechanicsMolecular StructurePlasticsSpectrum AnalysisButadienesElastomersPlasticspolybutadienepolynorbornen

Identifiers

PMID23344431

What OpenQuestion holds

Textmetadata
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.