A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools

Bibliographic Details
Main Author: Dias, Luís G.
Publication Date: 2015
Other Authors: Veloso, Ana C. A., Sousa, Mara E. B. C., Estevinho, Letícia, Machado, Adélio A. S. C., Peres, António M.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/1822/38522
Summary: Nowadays the main honey producing countries require accurate labeling of honey before commercialization, including floral classification. Traditionally, this classification is made by melissopalynology analysis, an accurate but time-consuming task requiring laborious sample pre-treatment and high-skilled technicians. In this work the potential use of a potentiometric electronic tongue for pollinic assessment is evaluated, using monofloral and polyfloral honeys. The results showed that after splitting honeys according to color (white, amber and dark), the novel methodology enabled quantifying the relative percentage of the main pollens (Castanea sp., Echium sp., Erica sp., Eucaliptus sp., Lavandula sp., Prunus sp., Rubus sp. and Trifolium sp.). Multiple linear regression models were established for each type of pollen, based on the best sensors sub-sets selected using the simulated annealing algorithm. To minimize the overfitting risk, a repeated K-fold cross-validation procedure was implemented, ensuring that at least 10-20% of the honeys were used for internal validation. With this approach, a minimum average determination coefficient of 0.91 ± 0.15 was obtained. Also, the proposed technique enabled the correct classification of 92% and 100% of monofloral and polyfloral honeys, respectively. The quite satisfactory performance of the novel procedure for quantifying the relative pollen frequency may envisage its applicability for honey labeling and geographical origin identification. Nevertheless, this approach is not a full alternative to the traditional melissopalynologic analysis; it may be seen as a practical complementary tool for preliminary honey floral classification, leaving only problematic cases for pollinic evaluation.
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spelling A novel approach for honey pollen profile assessment using an electronic tongue and chemometric toolselectronic tonguemultiple linear regression modelssimulated annealing algorithmhoneypollen profileScience & TechnologyNowadays the main honey producing countries require accurate labeling of honey before commercialization, including floral classification. Traditionally, this classification is made by melissopalynology analysis, an accurate but time-consuming task requiring laborious sample pre-treatment and high-skilled technicians. In this work the potential use of a potentiometric electronic tongue for pollinic assessment is evaluated, using monofloral and polyfloral honeys. The results showed that after splitting honeys according to color (white, amber and dark), the novel methodology enabled quantifying the relative percentage of the main pollens (Castanea sp., Echium sp., Erica sp., Eucaliptus sp., Lavandula sp., Prunus sp., Rubus sp. and Trifolium sp.). Multiple linear regression models were established for each type of pollen, based on the best sensors sub-sets selected using the simulated annealing algorithm. To minimize the overfitting risk, a repeated K-fold cross-validation procedure was implemented, ensuring that at least 10-20% of the honeys were used for internal validation. With this approach, a minimum average determination coefficient of 0.91 ± 0.15 was obtained. Also, the proposed technique enabled the correct classification of 92% and 100% of monofloral and polyfloral honeys, respectively. The quite satisfactory performance of the novel procedure for quantifying the relative pollen frequency may envisage its applicability for honey labeling and geographical origin identification. Nevertheless, this approach is not a full alternative to the traditional melissopalynologic analysis; it may be seen as a practical complementary tool for preliminary honey floral classification, leaving only problematic cases for pollinic evaluation.This work was co-financed by FCT/MEC and FEDER under Programme PT2020 (Project UID/EQU/50020/2013); and under the strategic funding of UID/BIO/04469/2013 unit.Elsevier B.V.Universidade do MinhoDias, Luís G.Veloso, Ana C. A.Sousa, Mara E. B. C.Estevinho, LetíciaMachado, Adélio A. S. C.Peres, António M.2015-11-052015-11-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/38522engDias, Luís G.; Veloso, Ana C. A.; Sousa, Mara E. B. C.; Estevinho, Letícia; Machado, Adélio A. S. C.; Peres, António M., A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools. Analytica Chimica Acta, 900, 36-45, 20150003-26701873-432410.1016/j.aca.2015.10.01426572837http://www.elsevier.com/locate/issn/00032670info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T04:38:03Zoai:repositorium.sdum.uminho.pt:1822/38522Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:31:38.064944Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools
title A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools
spellingShingle A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools
Dias, Luís G.
electronic tongue
multiple linear regression models
simulated annealing algorithm
honey
pollen profile
Science & Technology
title_short A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools
title_full A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools
title_fullStr A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools
title_full_unstemmed A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools
title_sort A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools
author Dias, Luís G.
author_facet Dias, Luís G.
Veloso, Ana C. A.
Sousa, Mara E. B. C.
Estevinho, Letícia
Machado, Adélio A. S. C.
Peres, António M.
author_role author
author2 Veloso, Ana C. A.
Sousa, Mara E. B. C.
Estevinho, Letícia
Machado, Adélio A. S. C.
Peres, António M.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Dias, Luís G.
Veloso, Ana C. A.
Sousa, Mara E. B. C.
Estevinho, Letícia
Machado, Adélio A. S. C.
Peres, António M.
dc.subject.por.fl_str_mv electronic tongue
multiple linear regression models
simulated annealing algorithm
honey
pollen profile
Science & Technology
topic electronic tongue
multiple linear regression models
simulated annealing algorithm
honey
pollen profile
Science & Technology
description Nowadays the main honey producing countries require accurate labeling of honey before commercialization, including floral classification. Traditionally, this classification is made by melissopalynology analysis, an accurate but time-consuming task requiring laborious sample pre-treatment and high-skilled technicians. In this work the potential use of a potentiometric electronic tongue for pollinic assessment is evaluated, using monofloral and polyfloral honeys. The results showed that after splitting honeys according to color (white, amber and dark), the novel methodology enabled quantifying the relative percentage of the main pollens (Castanea sp., Echium sp., Erica sp., Eucaliptus sp., Lavandula sp., Prunus sp., Rubus sp. and Trifolium sp.). Multiple linear regression models were established for each type of pollen, based on the best sensors sub-sets selected using the simulated annealing algorithm. To minimize the overfitting risk, a repeated K-fold cross-validation procedure was implemented, ensuring that at least 10-20% of the honeys were used for internal validation. With this approach, a minimum average determination coefficient of 0.91 ± 0.15 was obtained. Also, the proposed technique enabled the correct classification of 92% and 100% of monofloral and polyfloral honeys, respectively. The quite satisfactory performance of the novel procedure for quantifying the relative pollen frequency may envisage its applicability for honey labeling and geographical origin identification. Nevertheless, this approach is not a full alternative to the traditional melissopalynologic analysis; it may be seen as a practical complementary tool for preliminary honey floral classification, leaving only problematic cases for pollinic evaluation.
publishDate 2015
dc.date.none.fl_str_mv 2015-11-05
2015-11-05T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/38522
url https://hdl.handle.net/1822/38522
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Dias, Luís G.; Veloso, Ana C. A.; Sousa, Mara E. B. C.; Estevinho, Letícia; Machado, Adélio A. S. C.; Peres, António M., A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools. Analytica Chimica Acta, 900, 36-45, 2015
0003-2670
1873-4324
10.1016/j.aca.2015.10.014
26572837
http://www.elsevier.com/locate/issn/00032670
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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repository.mail.fl_str_mv info@rcaap.pt
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