Evidence map›Paper›PMID 29295592›Full record

ArticleSensors (Basel, Switzerland)2017

Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue.

Noèlia Carbó, Javier López Carrero, F Javier Garcia-Castillo, Isabel Tormos, Estela Olivas, Elisa Folch, Miguel Alcañiz Fillol, Juan Soto, Ramón Martínez-Máñez, M Carmen Martínez-Bisbal

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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
1.2field-weighted citation impact, top 22% 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, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Voltammetric Electronic Tongues in Food Analysis.Sensors (Basel, Switzerland) · 2019
    Review
  5. Article
  6. 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

10 authors at 1 institution in 1 country.

Noèlia CarbóInstituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Unidad Mixta Universitat Politècnica de València-Universitat de València, Camí de Vera s/N, 46022 Valencia, Spain. noeliamorella@gmail.com.
Javier López CarreroInstituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Unidad Mixta Universitat Politècnica de València-Universitat de València, Camí de Vera s/N, 46022 Valencia, Spain. javlopcar@gmail.com.
F Javier Garcia-CastilloSociedad de Fomento Agrícola Castellonense (FACSA), C/Mayor 82-84, 12001 Castellón, Spain. jgarcia@facsa.com.
Isabel TormosSociedad de Fomento Agrícola Castellonense (FACSA), C/Mayor 82-84, 12001 Castellón, Spain. itormos@grupogimeno.com.ORCID 0000-0002-5591-4534
Estela OlivasSociedad de Fomento Agrícola Castellonense (FACSA), C/Mayor 82-84, 12001 Castellón, Spain. eolivas@facsa.com.
Elisa FolchSociedad de Fomento Agrícola Castellonense (FACSA), C/Mayor 82-84, 12001 Castellón, Spain. efolch@facsa.com.
Miguel Alcañiz FillolInstituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Unidad Mixta Universitat Politècnica de València-Universitat de València, Camí de Vera s/N, 46022 Valencia, Spain. mialcan@upvnet.upv.es.
Juan SotoInstituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Unidad Mixta Universitat Politècnica de València-Universitat de València, Camí de Vera s/N, 46022 Valencia, Spain. jsotoca@upv.es.
Ramón Martínez-MáñezInstituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Unidad Mixta Universitat Politècnica de València-Universitat de València, Camí de Vera s/N, 46022 Valencia, Spain. rmaez@qim.upv.es.ORCID 0000-0001-5873-9674
M Carmen Martínez-BisbalInstituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Unidad Mixta Universitat Politècnica de València-Universitat de València, Camí de Vera s/N, 46022 Valencia, Spain. mamarbis@upvnet.upv.es.ORCID 0000-0002-8526-4413
Universitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of a voltammetric electronic tongue for the quantitative analysis of quality parameters in spring water is proposed here. The electronic voltammetric tongue consisted of a set of four noble electrodes (iridium, rhodium, platinum, and gold) housed inside a stainless steel cylinder. These noble metals have a high durability and are not demanding for maintenance, features required for the development of future automated equipment. A pulse voltammetry study was conducted in 83 spring water samples to determine concentrations of nitrate (range: 6.9-115 mg/L), sulfate (32-472 mg/L), fluoride (0.08-0.26 mg/L), chloride (17-190 mg/L), and sodium (11-94 mg/L) as well as pH (7.3-7.8). These parameters were also determined by routine analytical methods in spring water samples. A partial least squares (PLS) analysis was run to obtain a model to predict these parameter. Orthogonal signal correction (OSC) was applied in the preprocessing step. Calibration (67%) and validation (33%) sets were selected randomly. The electronic tongue showed good predictive power to determine the concentrations of nitrate, sulfate, chloride, and sodium as well as pH and displayed a lower R² and slope in the validation set for fluoride. Nitrate and fluoride concentrations were estimated with errors lower than 15%, whereas chloride, sulfate, and sodium concentrations as well as pH were estimated with errors below 10%.

Indexed as

electronic voltammetric tonguepartial least squaresspring waterwater quality control

Identifiers

PMID29295592
PMCPMC5795646
OpenAlexW2780926169

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.