2026-04-17T12:05:39Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/70832022-10-06T00:05:21Zcom_10259_5377com_10259_5086com_10259_2604com_10259_4292com_10259_5363com_10259.4_2519com_10259.4_2512com_10259.4_106com_10259_3592com_10259_3591com_10259_4313col_10259_5378col_10259_4293col_10259_5364col_10259_6199col_10259_3930col_10259_4314
Repositorio Institucional de la Universidad de Burgos
author
Guembe García, Marta
author
González Ceballos, Lara
author
Arnáiz Alonso, Ana
author
Fernández Muiño, Miguel Ángel
author
Sancho Ortiz, María Teresa
author
Osés Gómez, Sandra María
author
Ibeas Cortes, Saturnino
author
Rovira Carballido, Jordi
author
Melero Gil, Beatriz
author
Represa Pérez, César
author
García Pérez, José Miguel
author
Vallejos Calzada, Saúl
2022-10-05T10:32:16Z
2022-10-05T10:32:16Z
2022-08
1944-8244
http://hdl.handle.net/10259/7083
10.1021/acsami.2c09467
1944-8252
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.
eng
Atribución 4.0 Internacional
Polymer chemosensory films
Sensors
Nitrite in meat
Colorimetry
RGB
HSV
Color space
Easy Nitrite Analysis of Processed Meat with Colorimetric Polymer Sensors and a Smartphone App
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/7083/1/Guembe-acsami_2022.pdf
File
MD5
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application/pdf
Guembe-acsami_2022.pdf