Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.

Fraudulent practices concerning honey are growing fast and involve misrepresentation of origin and adulteration. Simple and feasible methods for honey authentication are needed to ascertain honey compliance and quality. Working on a robust dataset and simultaneously investigating honey traceability...

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Authors: Caredda, Marco, Ciulu, Marco, Tilocca, F., Langasco, Ilaria, Núñez Burcio, Oscar, Sentellas, Sonia, Saurina, Javier, Pilo, Maria I., Spano, Nadia, Sanna, Gavino, Mara, Alessandro
Format: article
Status:Published version
Publication Date:2024
Country:España
Institution:Universidad de Barcelona
Repository:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/216066
Online Access:https://hdl.handle.net/2445/216066
Access Level:Open access
Keyword:Espectroscòpia
Mel d'abelles
Cuina (Xarops)
Spectrum analysis
Honey
Cooking (Syrups)
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oai_identifier_str oai:diposit.ub.edu:2445/216066
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network_name_str España
repository_id_str
spelling Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.Caredda, MarcoCiulu, MarcoTilocca, F.Langasco, IlariaNúñez Burcio, OscarSentellas, SoniaSaurina, JavierPilo, Maria I.Spano, NadiaSanna, GavinoMara, AlessandroEspectroscòpiaMel d'abellesCuina (Xarops)Spectrum analysisHoneyCooking (Syrups)Fraudulent practices concerning honey are growing fast and involve misrepresentation of origin and adulteration. Simple and feasible methods for honey authentication are needed to ascertain honey compliance and quality. Working on a robust dataset and simultaneously investigating honey traceability and adulterant detection, this study proposed a portable FTNIR fingerprinting approach combined with chemometrics. Multifloral and unifloral honey samples (n = 244) from Spain and Sardinia (Italy) were discriminated by botanical and geographical origin. Qualitative and quantitative methods were developed using linear discriminant analysis (LDA) and partial least squares (PLS) regression to detect adulterated honey with two syrups, consisting of glucose, fructose, and maltose. Botanical and geographical origins were predicted with 90% and 95% accuracy, respectively. LDA models discriminated pure and adulterated honey samples with an accuracy of over 92%, whereas PLS allows for the accurate quantification of over 10% of adulterants in unifloral and 20% in multifloral honey.MDPI2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/216066Articles publicats en revistes (Enginyeria Química i Química Analítica)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/https://doi.org/10.3390/foods13193062Foods, 2024, vol. 13, num.19, p. 1-18https://doi.org/https://doi.org/10.3390/foods13193062cc-by (c) Caredda, M. et al., 2024http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2160662026-05-27T06:46:51Z
dc.title.none.fl_str_mv Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.
title Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.
spellingShingle Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.
Caredda, Marco
Espectroscòpia
Mel d'abelles
Cuina (Xarops)
Spectrum analysis
Honey
Cooking (Syrups)
title_short Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.
title_full Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.
title_fullStr Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.
title_full_unstemmed Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.
title_sort Portable NIR spectroscopy to simultaneously trace honey botanical and geographicl origins and detect syrup adulteration.
dc.creator.none.fl_str_mv Caredda, Marco
Ciulu, Marco
Tilocca, F.
Langasco, Ilaria
Núñez Burcio, Oscar
Sentellas, Sonia
Saurina, Javier
Pilo, Maria I.
Spano, Nadia
Sanna, Gavino
Mara, Alessandro
author Caredda, Marco
author_facet Caredda, Marco
Ciulu, Marco
Tilocca, F.
Langasco, Ilaria
Núñez Burcio, Oscar
Sentellas, Sonia
Saurina, Javier
Pilo, Maria I.
Spano, Nadia
Sanna, Gavino
Mara, Alessandro
author_role author
author2 Ciulu, Marco
Tilocca, F.
Langasco, Ilaria
Núñez Burcio, Oscar
Sentellas, Sonia
Saurina, Javier
Pilo, Maria I.
Spano, Nadia
Sanna, Gavino
Mara, Alessandro
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Espectroscòpia
Mel d'abelles
Cuina (Xarops)
Spectrum analysis
Honey
Cooking (Syrups)
topic Espectroscòpia
Mel d'abelles
Cuina (Xarops)
Spectrum analysis
Honey
Cooking (Syrups)
description Fraudulent practices concerning honey are growing fast and involve misrepresentation of origin and adulteration. Simple and feasible methods for honey authentication are needed to ascertain honey compliance and quality. Working on a robust dataset and simultaneously investigating honey traceability and adulterant detection, this study proposed a portable FTNIR fingerprinting approach combined with chemometrics. Multifloral and unifloral honey samples (n = 244) from Spain and Sardinia (Italy) were discriminated by botanical and geographical origin. Qualitative and quantitative methods were developed using linear discriminant analysis (LDA) and partial least squares (PLS) regression to detect adulterated honey with two syrups, consisting of glucose, fructose, and maltose. Botanical and geographical origins were predicted with 90% and 95% accuracy, respectively. LDA models discriminated pure and adulterated honey samples with an accuracy of over 92%, whereas PLS allows for the accurate quantification of over 10% of adulterants in unifloral and 20% in multifloral honey.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/216066
url https://hdl.handle.net/2445/216066
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/https://doi.org/10.3390/foods13193062
Foods, 2024, vol. 13, num.19, p. 1-18
https://doi.org/https://doi.org/10.3390/foods13193062
dc.rights.none.fl_str_mv cc-by (c) Caredda, M. et al., 2024
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by (c) Caredda, M. et al., 2024
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Articles publicats en revistes (Enginyeria Química i Química Analítica)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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