Evidence map›Paper›PMID 21791979›Full record

ReviewPlant signaling & behavior2011

The use of FTIR spectroscopy to monitor modifications in plant cell wall architecture caused by cellulose biosynthesis inhibitors.

Ana Alonso-Simón, Penélope García-Angulo, Hugo Mélida, Antonio Encina, Jesús M Álvarez, José L Acebes

Open access · bronzeAbstract readReview
In one paragraph

Review in Plant signaling & behavior, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

41 citing papers in PubMed, 130 citations in OpenAlex.

  1. Article
  2. Article
  3. Plant direct · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Multifaceted Pollutant Removal byPlants (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Cell wall dynamics: novel tools and research questions.Journal of experimental botany · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 2 institutions in 2 countries.

Ana Alonso-SimónÁrea de Fisiología Vegetal, Facultad de CC, Biológicas y Ambientales, Universidad de León, León, Spain.
Penélope García-Angulo
Hugo Mélida
Antonio Encina
Jesús M Álvarez
José L Acebes
Universidad de León · ESUniversidad de León · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fourier Transform InfraRed (FTIR) spectroscopy is a powerful and rapid technique for analysing cell wall components and putative cross-links, which is able to non-destructively recognize polymers and functional groups and provide abundant information about their in muro organization. FTIR spectroscopy has been reported to be a useful tool for monitoring cell wall changes occurring in muro as a result of various factors, such as growth and development processes, mutations or biotic and abiotic stresses. This mini-review examines the use of FTIR spectroscopy in conjunction with multivariate analyses to monitor cell wall changes related to (1) the exposure of diverse plant materials to cellulose biosynthesis inhibitors (CBIs), and (2) the habituation/dehabituation of plant cell cultures to this kind of herbicides. The spectra analyses show differences not only regarding the inhibitor, but also regarding how long cells have been growing in its presence.

Indexed as

Spectroscopy, Fourier Transform InfraredCelluloseCell WallCluster AnalysisMultivariate AnalysisPlant CellsPrincipal Component AnalysisCellulose

Identifiers

PMID21791979
PMCPMC3260703
OpenAlexW2088161915

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.