RT info:eu-repo/semantics/article
T1 Easy Nitrite Analysis of Processed Meat with Colorimetric Polymer Sensors and a Smartphone App
A1 Guembe García, Marta
A1 González Ceballos, Lara
A1 Arnáiz Alonso, Ana
A1 Fernández Muiño, Miguel Ángel
A1 Sancho Ortiz, María Teresa
A1 Osés Gómez, Sandra María
A1 Ibeas Cortes, Saturnino
A1 Rovira Carballido, Jordi
A1 Melero Gil, Beatriz
A1 Represa Pérez, César
A1 García Pérez, José Miguel
A1 Vallejos Calzada, Saúl
K1 Polymer chemosensory films
K1 Sensors
K1 Nitrite in meat
K1 Colorimetry
K1 RGB
K1 HSV
K1 Color space
K1 Química orgánica
K1 Chemistry, Organic
K1 Alimentos
K1 Food
K1 Informática
K1 Computer science
AB 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.
PB American Chemical Society
SN 1944-8244
YR 2022
FD 2022-08
LK http://hdl.handle.net/10259/7083
UL http://hdl.handle.net/10259/7083
LA eng
NO The authors gratefully acknowledge the financial support provided by all funders. S.V. received funding from “La Caixa” Foundation (Grant LCF/PR/PR18/51130007). J.M.G. received funding from “Spanish Agencia Estatal de Investigación” (Grant PID2020-113264RB-I00/AEI/10.13039/501100011033). The authors also appreciate the support and collaboration of the company Inforapps for the development of the smartphone application “Colorimetric Titration”.
DS Repositorio Institucional de la Universidad de Burgos
RD 25-abr-2024