Smartphone-based magneto-immunosensor on carbon black modified screen-printed electrodes for point-of-need detection of aflatoxin B1 in cereals

Considering the complexities and speed of modern food chains, there is an increasing demand for point-of-need detection of food contaminants, particularly highly regulated chemicals and carcinogens such as aflatoxin B1. We report a user-friendly smartphone-based magneto-immunosensor on carbon black...

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Autores: Jafari, Safiye, Burr, Loïc, Migliorelli, Davide, Galvé, Roger, Marco, María Pilar, Campbell, Katrina, Elliott, Chris, Suman, Michele, Sturla, Shana J., Generelli, Silvia
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/275523
Acceso en línea:http://hdl.handle.net/10261/275523
https://api.elsevier.com/content/abstract/scopus_id/85133424397
Access Level:acceso abierto
Palabra clave:Validation
Aflatoxin B1
Carbon black
Electrochemical biosensor
Point-of-need detection
Smartphone-based immunosensor
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spelling Smartphone-based magneto-immunosensor on carbon black modified screen-printed electrodes for point-of-need detection of aflatoxin B1 in cerealsJafari, SafiyeBurr, LoïcMigliorelli, DavideGalvé, RogerMarco, María PilarCampbell, KatrinaElliott, ChrisSuman, MicheleSturla, Shana J.Generelli, SilviaValidationAflatoxin B1Carbon blackElectrochemical biosensorPoint-of-need detectionSmartphone-based immunosensorConsidering the complexities and speed of modern food chains, there is an increasing demand for point-of-need detection of food contaminants, particularly highly regulated chemicals and carcinogens such as aflatoxin B1. We report a user-friendly smartphone-based magneto-immunosensor on carbon black modified electrodes for point-of-need detection of aflatoxin B1 in cereals. For buffered analyte solutions and a corn extract sample, the assay demonstrated a low limit of detection of 13 and 24 pg/mL, respectively. The assay was also highly reproducible, exhibiting mean relative standard deviations of 3.7% and 4.0% for the buffered analyte and corn extract samples. The applicability of the assay was validated on the basis of EU guidelines and the detection capability was lower than or equal to 2 μg/kg, which is the EU maximum residue limit for aflatoxin B1 in cereals. False-positive and false-negative rates were less than 5%. Additionally, an open-source android application, AflaESense, was designed to provide a simple interface that displays the result in a traffic-light-type format, thus minimizing user training and time for data analysis. AflaESense was used for smartphone-based screening of spiked corn samples containing aflatoxin B1 (0.1, 2, and 10 ng/mL), and naturally contaminated corn containing 0.15 ng aflatoxin B1/mL. The measured values were in close agreement with spiked concentrations (r2 = 0.99), with recovery values ranging between 80 and 120%. Finally, contaminated samples correctly triggered a red alert while the non-contaminated samples led to the display of a green color of AflaESense. To the best of our knowledge, this is the first smartphone-based electrochemical system effective for screening samples for contamination with aflatoxin B1.We thank Prof. Michel Nielen ((Wageningen Food Safety Research (WFSR), part of Wageningen University & Research, Wageningen, The Netherlands) for kindly providing the certified non-contaminated (blank) and naturally contaminated samples.Peer reviewedElsevier0000-0001-6040-200X0000-0001-6808-59500000-0002-3156-7048Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202220222022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/275523https://api.elsevier.com/content/abstract/scopus_id/85133424397reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésAnalytica Chimica Actahttps://doi.org/10.1016/j.aca.2022.340118Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2755232026-05-22T06:33:51Z
dc.title.none.fl_str_mv Smartphone-based magneto-immunosensor on carbon black modified screen-printed electrodes for point-of-need detection of aflatoxin B1 in cereals
title Smartphone-based magneto-immunosensor on carbon black modified screen-printed electrodes for point-of-need detection of aflatoxin B1 in cereals
spellingShingle Smartphone-based magneto-immunosensor on carbon black modified screen-printed electrodes for point-of-need detection of aflatoxin B1 in cereals
Jafari, Safiye
Validation
Aflatoxin B1
Carbon black
Electrochemical biosensor
Point-of-need detection
Smartphone-based immunosensor
title_short Smartphone-based magneto-immunosensor on carbon black modified screen-printed electrodes for point-of-need detection of aflatoxin B1 in cereals
title_full Smartphone-based magneto-immunosensor on carbon black modified screen-printed electrodes for point-of-need detection of aflatoxin B1 in cereals
title_fullStr Smartphone-based magneto-immunosensor on carbon black modified screen-printed electrodes for point-of-need detection of aflatoxin B1 in cereals
title_full_unstemmed Smartphone-based magneto-immunosensor on carbon black modified screen-printed electrodes for point-of-need detection of aflatoxin B1 in cereals
title_sort Smartphone-based magneto-immunosensor on carbon black modified screen-printed electrodes for point-of-need detection of aflatoxin B1 in cereals
dc.creator.none.fl_str_mv Jafari, Safiye
Burr, Loïc
Migliorelli, Davide
Galvé, Roger
Marco, María Pilar
Campbell, Katrina
Elliott, Chris
Suman, Michele
Sturla, Shana J.
Generelli, Silvia
author Jafari, Safiye
author_facet Jafari, Safiye
Burr, Loïc
Migliorelli, Davide
Galvé, Roger
Marco, María Pilar
Campbell, Katrina
Elliott, Chris
Suman, Michele
Sturla, Shana J.
Generelli, Silvia
author_role author
author2 Burr, Loïc
Migliorelli, Davide
Galvé, Roger
Marco, María Pilar
Campbell, Katrina
Elliott, Chris
Suman, Michele
Sturla, Shana J.
Generelli, Silvia
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv 0000-0001-6040-200X
0000-0001-6808-5950
0000-0002-3156-7048
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Validation
Aflatoxin B1
Carbon black
Electrochemical biosensor
Point-of-need detection
Smartphone-based immunosensor
topic Validation
Aflatoxin B1
Carbon black
Electrochemical biosensor
Point-of-need detection
Smartphone-based immunosensor
description Considering the complexities and speed of modern food chains, there is an increasing demand for point-of-need detection of food contaminants, particularly highly regulated chemicals and carcinogens such as aflatoxin B1. We report a user-friendly smartphone-based magneto-immunosensor on carbon black modified electrodes for point-of-need detection of aflatoxin B1 in cereals. For buffered analyte solutions and a corn extract sample, the assay demonstrated a low limit of detection of 13 and 24 pg/mL, respectively. The assay was also highly reproducible, exhibiting mean relative standard deviations of 3.7% and 4.0% for the buffered analyte and corn extract samples. The applicability of the assay was validated on the basis of EU guidelines and the detection capability was lower than or equal to 2 μg/kg, which is the EU maximum residue limit for aflatoxin B1 in cereals. False-positive and false-negative rates were less than 5%. Additionally, an open-source android application, AflaESense, was designed to provide a simple interface that displays the result in a traffic-light-type format, thus minimizing user training and time for data analysis. AflaESense was used for smartphone-based screening of spiked corn samples containing aflatoxin B1 (0.1, 2, and 10 ng/mL), and naturally contaminated corn containing 0.15 ng aflatoxin B1/mL. The measured values were in close agreement with spiked concentrations (r2 = 0.99), with recovery values ranging between 80 and 120%. Finally, contaminated samples correctly triggered a red alert while the non-contaminated samples led to the display of a green color of AflaESense. To the best of our knowledge, this is the first smartphone-based electrochemical system effective for screening samples for contamination with aflatoxin B1.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/275523
https://api.elsevier.com/content/abstract/scopus_id/85133424397
url http://hdl.handle.net/10261/275523
https://api.elsevier.com/content/abstract/scopus_id/85133424397
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Analytica Chimica Acta
https://doi.org/10.1016/j.aca.2022.340118
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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