Evidence map›Paper›PMID 28983746›Full record

ArticlePlant foods for human nutrition (Dordrecht, Netherlands)2017

Performance of Granular Starch with Controlled Pore Size during Hydrolysis with Digestive Enzymes.

Yaiza Benavent-Gil, Cristina M Rosell

Abstract read
PubMed Publisher
In one paragraph

Article in Plant foods for human nutrition (Dordrecht, Netherlands), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 30 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

2 authors at 1 institution in 1 country.

Yaiza Benavent-GilInstitute of Agrochemistry and Food Technology (IATA-CSIC), C/ Agustin Escardino, 7, 46980, Paterna, Valencia, Spain.
Cristina M RosellInstitute of Agrochemistry and Food Technology (IATA-CSIC), C/ Agustin Escardino, 7, 46980, Paterna, Valencia, Spain. crosell@iata.csic.es.ORCID http://orcid.org/0000-0001-7197-5874
Instituto de Agroquímica y Tecnología de Alimentos · ES

Funding

Ministerio de Economía y Competitividad AGL2014-52928-C2-1-R
6 · The paper itself

Abstract

Studies on porous starch have been directed to explore different industrial applications as bio-adsorbents of a variety of compounds. However, the analysis of starch digestibility is essential for food application. The objective of this study was to determine the impact of porous structure on in vitro starch digestibility. Porous starches were obtained using a range of concentrations of amyloglucosidase (AMG), α-amylase (AM), cyclodextrin-glycosyltransferase (CGTase) or branching enzyme (BE). Porous starches exhibited major content of digestible starch (DS) that increased with the intensity of the enzymatic treatment, and very low amount of resistant starch (RS). Porous starches behaved differently during in vitro hydrolysis depending on their enzymatic treatment. AMG was the unique treatment that increased the digestive amylolysis and estimated glycemic index, whereas AM, CGTase and BE reduced them. A significant relationship was found between the pore size and the severity of the amylolysis, suggesting that a specific pore size is required for the accessibility of the digestive amylase. Therefore, pore size in the starch surface was a limiting factor for digestion of starch granules.

Indexed as

alpha-AmylasesDigestionEnzymesGlucosyltransferasesGlycemic IndexHumansHydrolysisPorosityStarchalpha-Amylasescyclomaltodextrin glucanotransferaseEnzymesGlucosyltransferasesStarchDigestibilityEnzymesGlycemic indexPorous starch

Identifiers

PMID28983746
OpenAlexW2763678347

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.