Evidence map›Paper›PMID 28725262›Full record

ArticleBiotechnology for biofuels2017

Comparison of four glycosyl residue composition methods for effectiveness in detecting sugars from cell walls of dicot and grass tissues.

Ajaya K Biswal, Li Tan, Melani A Atmodjo, Jaclyn DeMartini, Ivana Gelineo-Albersheim, Kimberly Hunt, Ian M Black, Sushree S Mohanty, David Ryno, Charles E Wyman and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Ajaya K BiswalDepartment of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602 USA.
Li TanDepartment of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602 USA.
Melani A AtmodjoDepartment of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602 USA.
Jaclyn DeMartiniDOE-BioEnergy Science Center (BESC), Oak Ridge, 37831 TN USA.
Ivana Gelineo-AlbersheimComplex Carbohydrate Research Center, University of Georgia, 315 Riverbend Rd., Athens, GA 30602-4712 USA.
Kimberly HuntComplex Carbohydrate Research Center, University of Georgia, 315 Riverbend Rd., Athens, GA 30602-4712 USA.
Ian M BlackComplex Carbohydrate Research Center, University of Georgia, 315 Riverbend Rd., Athens, GA 30602-4712 USA.
Sushree S MohantyComplex Carbohydrate Research Center, University of Georgia, 315 Riverbend Rd., Athens, GA 30602-4712 USA.
David RynoComplex Carbohydrate Research Center, University of Georgia, 315 Riverbend Rd., Athens, GA 30602-4712 USA.
Charles E WymanDOE-BioEnergy Science Center (BESC), Oak Ridge, 37831 TN USA.
Debra MohnenDepartment of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602 USA.
University of Georgia · USBioenergy Life Science (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effective use of plant biomass for biofuel and bioproduct production requires a comprehensive glycosyl residue composition analysis to understand the different cell wall polysaccharides present in the different biomass sources. Here we compared four methods side-by-side for their ability to measure the neutral and acidic sugar composition of cell walls from herbaceous, grass, and woody model plants and bioenergy feedstocks.

resultsArabidopsis,

conclusionsThis work provides a side-by-side comparison of the efficacy of four different established glycosyl residue composition analysis methods in the analysis of the glycosyl residue composition of cell walls from both dicot (Arabidopsis and

Indexed as

BiofuelCell wallFeedstockSecondary cell wallSugar compositionUronic acid

Identifiers

PMID28725262
PMCPMC5513058
OpenAlexW2735439902

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.