Evidence map›Paper›PMID 28767651›Full record

ArticlePloS one2017

An automated system for the objective evaluation of human gustatory sensitivity using tongue biopotential recordings.

Danilo Pani, Ilenia Usai, Piero Cosseddu, Melania Melis, Giorgia Sollai, Roberto Crnjar, Iole Tomassini Barbarossa, Luigi Raffo, Annalisa Bonfiglio

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Danilo PaniDepartment of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy.ORCID http://orcid.org/0000-0003-1924-0875
Ilenia UsaiDepartment of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy.
Piero CossedduDepartment of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy.
Melania MelisDepartment of Biomedical Sciences, University of Cagliari, Monserrato, Italy.
Giorgia SollaiDepartment of Biomedical Sciences, University of Cagliari, Monserrato, Italy.
Roberto CrnjarDepartment of Biomedical Sciences, University of Cagliari, Monserrato, Italy.
Iole Tomassini BarbarossaDepartment of Biomedical Sciences, University of Cagliari, Monserrato, Italy.
Luigi RaffoDepartment of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy.
Annalisa BonfiglioDepartment of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this work is to develop an automatic system for the evaluation of the gustatory sensitivity of patients using an electrophysiological recording of the response of bud cells to taste stimuli. In particular, the study aims to evaluate the effectiveness and limitations of supervised classifiers in the discrimination between subjects belonging to the three 6-n-propylthiouracil (PROP) taster categories (supertasters, medium tasters, and non-tasters), exploiting features extracted from electrophysiological recordings of the tongue. Thirty-nine subjects (equally divided into the three PROP status classes by standard non-objective scaling methods) underwent a non-invasive, differential, biopotential recording of their tongues during stimulation with PROP by using a custom-made, flexible, silver electrode. Two different classifiers were trained to recognize up to seven different features extracted from the recorded depolarization signal. The classification results indicate that the identified set of features allows to distinguish between PROP tasters and non-tasters (average accuracy of 80% ± 18% and up to 94% ± 15% when only supertasters and non-tasters are considered), but medium tasters were difficult to identify. However, these apparent classification errors are related to uncertainty in the labeling procedures, which are based on non-objective tests, in which the subjects provided borderline evaluations. Thus, using the proposed method, it is possible, for the first time, to automatically achieve objective PROP taster status identification with high accuracy. The simplicity of the recording technique allows for easy reproduction of the experimental setting; thus the technique can be used in future studies to evaluate other gustatory stimuli. The proposed approach represents the first objective and automatic method to directly measure human gustatory responses and a milestone for physiological taste studies, with applications ranging from basic science to food tasting evaluations.

Indexed as

AdultAutomationElectrochemical TechniquesElectrodesElectrophysiological PhenomenaFemaleGenotypeHaplotypesHeterozygoteHumansMaleNormal DistributionPropylthiouracilReceptors, G-Protein-CoupledSignal Processing, Computer-AssistedSupport Vector MachinePropylthiouracilReceptors, G-Protein-CoupledTaste Receptors, Type 2

Identifiers

PMID28767651
PMCPMC5540613

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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.