Evidence map›Paper›PMID 35920554›Full record

ArticleACS applied materials & interfaces2022

Easy Nitrite Analysis of Processed Meat with Colorimetric Polymer Sensors and a Smartphone App.

Marta Guembe-García, Lara González-Ceballos, Ana Arnaiz, Miguel A Fernández-Muiño, M Teresa Sancho, Sandra M Osés, Saturnino Ibeas, Jordi Rovira, Beatriz Melero, Cesar Represa and 2 more

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

12 authors.

Marta Guembe-GarcíaDepartamento de Química, Facultad de Ciencias, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.
Lara González-CeballosDepartamento de Química, Facultad de Ciencias, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.ORCID 0000-0002-8983-7362
Ana ArnaizDepartamento de Química, Facultad de Ciencias, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.
Miguel A Fernández-MuiñoDepartamento de Biotecnología y Ciencia de los Alimentos, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.
M Teresa SanchoDepartamento de Biotecnología y Ciencia de los Alimentos, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.
Sandra M OsésDepartamento de Biotecnología y Ciencia de los Alimentos, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.
Saturnino IbeasDepartamento de Química, Facultad de Ciencias, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.
Jordi RoviraDepartamento de Biotecnología y Ciencia de los Alimentos, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.
Beatriz MeleroDepartamento de Biotecnología y Ciencia de los Alimentos, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.
Cesar RepresaDepartamento de Ingeniería Electromecánica, Escuela Politécnica Superior, Universidad de Burgos, Avenida Cantabria s/n, 09006 Burgos, Spain.
José M GarcíaDepartamento de Química, Facultad de Ciencias, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.ORCID 0000-0002-2674-8194
Saúl VallejosDepartamento de Química, Facultad de Ciencias, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.ORCID 0000-0001-5522-6574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed an in situ methodology for determining nitrite concentration in processed meats that can also be used by unskilled personnel. It is based on a colorimetric film-shaped sensory polymer that changes its color upon contacting the meat and a mobile app that automatically calculates the manufacturing and residual nitrite concentration by only taking digital photographs of sensory films and analyzing digital color parameters. The film-shaped polymer sensor detects nitrite anions by an azo-coupling reaction, since they activate this reaction between two of the four monomers that the copolymer is based on. The sensory polymer is complemented with an app, which analyzes the color in two different digital color spaces (RGB and HSV) and performs a set of 32 data fittings representing the concentration of nitrite versus eight different variables, finally providing the nitrite concentration of the test samples using the best fitting curve. The calculated concentration of nitrite correlates with a validated method (ISO 2918: 1975) usually used to determine nitrite, and no statistically significant difference between these methods and our proposed one has been found in our study (26 meat samples, 8 prepared, and 18 commercial). Our method represents a great advance in terms of analysis time, simplicity, and orientation to use by average citizens.

Indexed as

ColorimetryMobile ApplicationsMeatNitritesPolymersSmartphoneNitritesPolymerscolorimetrycolor spaceHSVnitrite in meatpolymer chemosensory filmsRGBsensors

Identifiers

PMID35920554
PMCPMC9389542

What OpenQuestion holds

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LicenceCC BY
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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.