Evidence map›Paper›PMID 30190600›Full record

ArticleScientific reports2018

Analytical ultracentrifugation in saliva research: Impact of green tea astringency and its significance on the in-vivo aroma release.

Vlad Dinu, Chujiao Liu, Joseph Ali, Charfedinne Ayed, Pavel Gershkovich, Gary G Adams, Stephen E Harding, Ian D Fisk

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
1.3field-weighted citation impact, top 20% 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, 12 citations in OpenAlex.

  1. Impact of capsaicin on aroma release and perception from flavoured solutions.Lebensmittel-Wissenschaft + [i.e. und] Technologie. Food science + technology. Science + technologie alimentaire · 2021
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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

8 authors at 1 institution in 1 country.

Vlad DinuDivision of Food Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Nottingham, Leicestershire, UK.
Chujiao LiuDivision of Food Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Nottingham, Leicestershire, UK.
Joseph AliSchool of Pharmacy, University of Nottingham, Nottingham, UK.
Charfedinne AyedDivision of Food Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Nottingham, Leicestershire, UK.
Pavel GershkovichSchool of Pharmacy, University of Nottingham, Nottingham, UK.ORCID 0000-0003-3136-0933
Gary G AdamsNational Centre of Macromolecular Hydrodynamics, Division of Food Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Nottingham, Leicestershire, UK.ORCID 0000-0002-0335-2162
Stephen E HardingNational Centre of Macromolecular Hydrodynamics, Division of Food Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Nottingham, Leicestershire, UK.
Ian D FiskDivision of Food Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Nottingham, Leicestershire, UK. ian.fisk@nottingham.ac.uk.ORCID 0000-0001-8448-3123
University of Nottingham · GB

Funding

Biotechnology and Biological Sciences Research Council (BBSRC) BB/N021126/1Engineering and Physical Sciences Research Council (EPSRC) EP/L015633/1Engineering and Physical Sciences Research Council (EPSRC) EP/L01646X/1
6 · The paper itself

Abstract

Current saliva testing methods rely on cutting edge yet expensive techniques for the detection and analysis of genetic material, proteins and biomarkers for clinical use. However, these techniques are limited in scope and often cannot be used with complex food materials. We propose an efficient ex-vivo tool for evaluating biologically relevant interactions between food components and human saliva using sedimentation velocity analytical ultracentrifugation (SV-AUC). We evaluated macromolecular content from "unstimulated" (US) and "stimulated" (SS) samples pooled from 5 healthy volunteers. Over 90% of total saliva protein consisted of α-amylase and mucin, and up to 10% was secretory immunoglobulin A (SIgA). It was shown that α-amylase concentration increased upon parafilm stimulation, which lead to a decrease in the viscosity of saliva. Then, we used a simple food system (green tea) to evaluate changes in the salivary protein content caused by green tea polyphenols. It was found that aroma release from green tea is highly influenced by interactions between α-amylase and polyphenol epigallocatechin 3-gallate (EGCG). This interaction was found to increase the viscosity of the salivary bulk, suggested to contribute to astringency, and increased the concentrations of β-ionone, benzaldehyde and isovaleraldehyde (P < 0.01), suggested to play a significant role in the characteristic flavour of green tea.

Indexed as

AdultCatechinFemaleHumansMaleSalivaSalivary Proteins and PeptidesTeaUltracentrifugationCatechinepigallocatechin gallateSalivary Proteins and PeptidesTea

Identifiers

PMID30190600
PMCPMC6127339
OpenAlexW2888914426

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.