Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples

Autores
Almasvandi, Zohreh; Vahidinia, Ali; Heshmati, Ali; Zangeneh, Mohammad Mahdi; Goicoechea, Hector Casimiro; Jalalvand, Ali R.
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, a novel and very interesting analytical methodology based on coupling of digital image processing and three-way calibration has been developed for determination of nitrite in food samples. Nitrite in contact with Griess reagent is able to produce a red-colored azo dye whose color intensity is correlated with nitrite concentration and here, a piece of Whatman filter paper impregnated with Griess reagent was used as the platform of the sensor and a SONY Xperia Z5 cell phone was used for image capturing from the sensor surface. To generate second-order data, the F-number of the camera's sensor was changed as an instrumental parameter. Two calibration models were constructed by unfolded partial least squares-residual bilinearization (U-PLS/RBL) and multiway-PLS/RBL (N-PLS/RBL) and then, their performance for prediction of nitrite concentration in test samples was evaluated and the results confirmed a good performance for U-PLS/RBL (REP = 3.25 ppm, RMSEP = 8.82 ppm, RMSEC = 4.62 ppm, Q2 = 0.99, γ-1 = 0.05 and LOD = 0.1 ppm) which was better than that for N-PLS/RBL (REP = 13.98 ppm, RMSEP = 37.86 ppm, RMSEC = 6.46 ppm, Q2 = 0.98, γ-1 = 0.07 and LOD = 0.15 ppm) in predicting concentration of nitrite in test samples which motivated us to choose it for the analysis of cabbage, carrot, lettuce, watermelon, onion, potato, kielbasa and sausage as real samples.
Fil: Almasvandi, Zohreh. Hamadan University of Medical Sciences; Irán
Fil: Vahidinia, Ali. Hamadan University of Medical Sciences; Irán
Fil: Heshmati, Ali. Hamadan University of Medical Sciences; Irán
Fil: Zangeneh, Mohammad Mahdi. Razi University; Irán
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Fil: Jalalvand, Ali R.. Kermanshah University Of Medical Sciences; Irán
Materia
digital image
paper-based sensor
nitrite in food samples
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/152286
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samplesAlmasvandi, ZohrehVahidinia, AliHeshmati, AliZangeneh, Mohammad MahdiGoicoechea, Hector CasimiroJalalvand, Ali R.digital imagepaper-based sensornitrite in food sampleshttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1In this work, a novel and very interesting analytical methodology based on coupling of digital image processing and three-way calibration has been developed for determination of nitrite in food samples. Nitrite in contact with Griess reagent is able to produce a red-colored azo dye whose color intensity is correlated with nitrite concentration and here, a piece of Whatman filter paper impregnated with Griess reagent was used as the platform of the sensor and a SONY Xperia Z5 cell phone was used for image capturing from the sensor surface. To generate second-order data, the F-number of the camera's sensor was changed as an instrumental parameter. Two calibration models were constructed by unfolded partial least squares-residual bilinearization (U-PLS/RBL) and multiway-PLS/RBL (N-PLS/RBL) and then, their performance for prediction of nitrite concentration in test samples was evaluated and the results confirmed a good performance for U-PLS/RBL (REP = 3.25 ppm, RMSEP = 8.82 ppm, RMSEC = 4.62 ppm, Q2 = 0.99, γ-1 = 0.05 and LOD = 0.1 ppm) which was better than that for N-PLS/RBL (REP = 13.98 ppm, RMSEP = 37.86 ppm, RMSEC = 6.46 ppm, Q2 = 0.98, γ-1 = 0.07 and LOD = 0.15 ppm) in predicting concentration of nitrite in test samples which motivated us to choose it for the analysis of cabbage, carrot, lettuce, watermelon, onion, potato, kielbasa and sausage as real samples.Fil: Almasvandi, Zohreh. Hamadan University of Medical Sciences; IránFil: Vahidinia, Ali. Hamadan University of Medical Sciences; IránFil: Heshmati, Ali. Hamadan University of Medical Sciences; IránFil: Zangeneh, Mohammad Mahdi. Razi University; IránFil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaFil: Jalalvand, Ali R.. Kermanshah University Of Medical Sciences; IránRoyal Society of Chemistry2020-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/152286Almasvandi, Zohreh; Vahidinia, Ali; Heshmati, Ali; Zangeneh, Mohammad Mahdi; Goicoechea, Hector Casimiro; et al.; Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples; Royal Society of Chemistry; RSC Advances; 10; 24; 4-2020; 14422-144302046-2069CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://xlink.rsc.org/?DOI=C9RA10918Hinfo:eu-repo/semantics/altIdentifier/doi/10.1039/C9RA10918Hinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-04-08T10:59:23Zoai:ri.conicet.gov.ar:11336/152286instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-04-08 10:59:23.777CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples
title Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples
spellingShingle Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples
Almasvandi, Zohreh
digital image
paper-based sensor
nitrite in food samples
title_short Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples
title_full Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples
title_fullStr Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples
title_full_unstemmed Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples
title_sort Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples
dc.creator.none.fl_str_mv Almasvandi, Zohreh
Vahidinia, Ali
Heshmati, Ali
Zangeneh, Mohammad Mahdi
Goicoechea, Hector Casimiro
Jalalvand, Ali R.
author Almasvandi, Zohreh
author_facet Almasvandi, Zohreh
Vahidinia, Ali
Heshmati, Ali
Zangeneh, Mohammad Mahdi
Goicoechea, Hector Casimiro
Jalalvand, Ali R.
author_role author
author2 Vahidinia, Ali
Heshmati, Ali
Zangeneh, Mohammad Mahdi
Goicoechea, Hector Casimiro
Jalalvand, Ali R.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv digital image
paper-based sensor
nitrite in food samples
topic digital image
paper-based sensor
nitrite in food samples
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this work, a novel and very interesting analytical methodology based on coupling of digital image processing and three-way calibration has been developed for determination of nitrite in food samples. Nitrite in contact with Griess reagent is able to produce a red-colored azo dye whose color intensity is correlated with nitrite concentration and here, a piece of Whatman filter paper impregnated with Griess reagent was used as the platform of the sensor and a SONY Xperia Z5 cell phone was used for image capturing from the sensor surface. To generate second-order data, the F-number of the camera's sensor was changed as an instrumental parameter. Two calibration models were constructed by unfolded partial least squares-residual bilinearization (U-PLS/RBL) and multiway-PLS/RBL (N-PLS/RBL) and then, their performance for prediction of nitrite concentration in test samples was evaluated and the results confirmed a good performance for U-PLS/RBL (REP = 3.25 ppm, RMSEP = 8.82 ppm, RMSEC = 4.62 ppm, Q2 = 0.99, γ-1 = 0.05 and LOD = 0.1 ppm) which was better than that for N-PLS/RBL (REP = 13.98 ppm, RMSEP = 37.86 ppm, RMSEC = 6.46 ppm, Q2 = 0.98, γ-1 = 0.07 and LOD = 0.15 ppm) in predicting concentration of nitrite in test samples which motivated us to choose it for the analysis of cabbage, carrot, lettuce, watermelon, onion, potato, kielbasa and sausage as real samples.
Fil: Almasvandi, Zohreh. Hamadan University of Medical Sciences; Irán
Fil: Vahidinia, Ali. Hamadan University of Medical Sciences; Irán
Fil: Heshmati, Ali. Hamadan University of Medical Sciences; Irán
Fil: Zangeneh, Mohammad Mahdi. Razi University; Irán
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Fil: Jalalvand, Ali R.. Kermanshah University Of Medical Sciences; Irán
description In this work, a novel and very interesting analytical methodology based on coupling of digital image processing and three-way calibration has been developed for determination of nitrite in food samples. Nitrite in contact with Griess reagent is able to produce a red-colored azo dye whose color intensity is correlated with nitrite concentration and here, a piece of Whatman filter paper impregnated with Griess reagent was used as the platform of the sensor and a SONY Xperia Z5 cell phone was used for image capturing from the sensor surface. To generate second-order data, the F-number of the camera's sensor was changed as an instrumental parameter. Two calibration models were constructed by unfolded partial least squares-residual bilinearization (U-PLS/RBL) and multiway-PLS/RBL (N-PLS/RBL) and then, their performance for prediction of nitrite concentration in test samples was evaluated and the results confirmed a good performance for U-PLS/RBL (REP = 3.25 ppm, RMSEP = 8.82 ppm, RMSEC = 4.62 ppm, Q2 = 0.99, γ-1 = 0.05 and LOD = 0.1 ppm) which was better than that for N-PLS/RBL (REP = 13.98 ppm, RMSEP = 37.86 ppm, RMSEC = 6.46 ppm, Q2 = 0.98, γ-1 = 0.07 and LOD = 0.15 ppm) in predicting concentration of nitrite in test samples which motivated us to choose it for the analysis of cabbage, carrot, lettuce, watermelon, onion, potato, kielbasa and sausage as real samples.
publishDate 2020
dc.date.none.fl_str_mv 2020-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/152286
Almasvandi, Zohreh; Vahidinia, Ali; Heshmati, Ali; Zangeneh, Mohammad Mahdi; Goicoechea, Hector Casimiro; et al.; Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples; Royal Society of Chemistry; RSC Advances; 10; 24; 4-2020; 14422-14430
2046-2069
CONICET Digital
CONICET
url http://hdl.handle.net/11336/152286
identifier_str_mv Almasvandi, Zohreh; Vahidinia, Ali; Heshmati, Ali; Zangeneh, Mohammad Mahdi; Goicoechea, Hector Casimiro; et al.; Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples; Royal Society of Chemistry; RSC Advances; 10; 24; 4-2020; 14422-14430
2046-2069
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://xlink.rsc.org/?DOI=C9RA10918H
info:eu-repo/semantics/altIdentifier/doi/10.1039/C9RA10918H
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Royal Society of Chemistry
publisher.none.fl_str_mv Royal Society of Chemistry
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.09665

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