Evidence map›Paper›PMID 36298037›Full record

ReviewPolymers2022

Thia-Michael Reaction: The Route to Promising Covalent Adaptable Networks.

Dimitri Berne, Vincent Ladmiral, Eric Leclerc, Sylvain Caillol

Abstract readReview
In one paragraph

Review in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. On-Demand Chemically Degradable Hydrogels for Biological Applications.Chembiochem : a European journal of chemical biology · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
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.

Dimitri BerneICGM, Univ Montpellier, CNRS, ENSCM, 34090 Montpellier, France.ORCID 0000-0003-1782-9627
Vincent LadmiralICGM, Univ Montpellier, CNRS, ENSCM, 34090 Montpellier, France.ORCID 0000-0002-7590-4800
Eric LeclercICGM, Univ Montpellier, CNRS, ENSCM, 34090 Montpellier, France.ORCID 0000-0002-3019-4411
Sylvain CaillolICGM, Univ Montpellier, CNRS, ENSCM, 34090 Montpellier, France.ORCID 0000-0003-3106-5547

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the Michael addition has been employed for more than 130 years for the synthesis of a vast diversity of compounds, the reversibility of this reaction when heteronucleophiles are involved has been generally less considered. First applied to medicinal chemistry, the reversible character of the hetero-Michael reactions has recently been explored for the synthesis of Covalent Adaptable Networks (CANs), in particular the thia-Michael reaction and more recently the aza-Michael reaction. In these cross-linked networks, exchange reactions take place between two Michael adducts by successive dissociation and association steps. In order to understand and precisely control the exchange in these CANs, it is necessary to get an insight into the critical parameters influencing the Michael addition and the dissociation rates of Michael adducts by reconsidering previous studies on these matters. This review presents the progress in the understanding of the thia-Michael reaction over the years as well as the latest developments and plausible future directions to prepare CANs based on this reaction. The potential of aza-Michael reaction for CANs application is highlighted in a specific section with comparison with thia-Michael-based CANs.

Indexed as

covalent adaptable networkMichaelthia-Michaelvitrimers

Identifiers

PMID36298037
PMCPMC9609322

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.