A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/38522 |
Resumo: | 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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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/pdfhttp://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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:23:02Zoai:repositorium.sdum.uminho.pt:1822/38522Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:16:39.314015Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
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 |
http://hdl.handle.net/1822/38522 |
url |
http://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. |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132615794491392 |