Publication
Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue
| Summary: | This study successfully applied a potentiometric E-tongue with 20 cross-selectivity lipidic polymeric membranes in the discrimination of three semi-quantitative groups, that represented the following intervals of honey adulteration percentage with cane sugar: 0 %; [0, 10]%; [10, 20]% of adulteration. We analysed five different types of Portuguese honey; five brands of cane sugar were added to the adulterated samples; a comparative analysis was then performed. Linear discriminant analysis coupled with a tabu search algorithm for feature selection was applied to the ETongue's analytical data to select the best model. A discriminant model with 12 sensors was obtained. This model classified correctly all samples in both in internal (train data, 15 samples) and external validation (test data,10 samples). Also, multiple linear regression with tabu search was applied to verify if ETongue's data would allow quantifying the honey's adulteration level. The results showed that it was possible to obtain a quantitative model but with unsatisfactory predictive performance in the test data group (external validation), giving, in general, values below the expected concentrations. E-tongue is a real-time green, flexible and low-cost analytical tool that requires minimum sample preparation and no special technical skills, being a promising tool for everyday application. |
|---|---|
| Main Authors: | Dias, L.G. |
| Other Authors: | Bruni, Andressa R.S.; Anizelli, Camilla P.; Zangirolami, Marcela de Souza; Lima, Patrícia C.; Estevinho, Leticia M.; Bona, Evandro |
| Subject: | Adulterated honey Linear discriminant analysis Multiple linear regression Potentiometric E-Tongue Tabu search |
| Year: | 2022 |
| Country: | Portugal |
| Document type: | article |
| Access type: | open access |
| Associated institution: | Instituto Politécnico de Bragança |
| Language: | English |
| Origin: | Biblioteca Digital do IPB |
| _version_ | 1867173392821518336 |
|---|---|
| author | Dias, L.G. |
| author2 | Bruni, Andressa R.S. Anizelli, Camilla P. Zangirolami, Marcela de Souza Lima, Patrícia C. Estevinho, Leticia M. Bona, Evandro |
| author2_role | author author author author author author |
| author_facet | Dias, L.G. Bruni, Andressa R.S. Anizelli, Camilla P. Zangirolami, Marcela de Souza Lima, Patrícia C. Estevinho, Leticia M. Bona, Evandro |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Dias, L.G.\",\"Person.identifier.orcid\":\"0000-0002-1210-4259\"},{\"Person.name\":\"Bruni, Andressa R.S.\"},{\"Person.name\":\"Anizelli, Camilla P.\"},{\"Person.name\":\"Zangirolami, Marcela de Souza\"},{\"Person.name\":\"Lima, Patrícia C.\"},{\"Person.name\":\"Estevinho, Leticia M.\",\"Person.identifier.orcid\":\"0000-0002-9249-1948\"},{\"Person.name\":\"Bona, Evandro\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Dias, L.G. Bruni, Andressa R.S. Anizelli, Camilla P. Zangirolami, Marcela de Souza Lima, Patrícia C. Estevinho, Leticia M. Bona, Evandro |
| datacite.date.Accepted.fl_str_mv | 2022-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-08-03T10:48:25Z |
| datacite.date.embargoed.fl_str_mv | 2023-08-03T10:48:25Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Adulterated honey Linear discriminant analysis Multiple linear regression Potentiometric E-Tongue Tabu search |
| datacite.titles.title.fl_str_mv | Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Dias, L.G. Bruni, Andressa R.S. Anizelli, Camilla P. Zangirolami, Marcela de Souza Lima, Patrícia C. Estevinho, Leticia M. Bona, Evandro |
| dc.date.Accepted.fl_str_mv | 2022-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-08-03T10:48:25Z |
| dc.date.embargoed.fl_str_mv | 2023-08-03T10:48:25Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/28671 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | John Wiley & Sons |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Adulterated honey Linear discriminant analysis Multiple linear regression Potentiometric E-Tongue Tabu search |
| dc.title.fl_str_mv | Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | This study successfully applied a potentiometric E-tongue with 20 cross-selectivity lipidic polymeric membranes in the discrimination of three semi-quantitative groups, that represented the following intervals of honey adulteration percentage with cane sugar: 0 %; [0, 10]%; [10, 20]% of adulteration. We analysed five different types of Portuguese honey; five brands of cane sugar were added to the adulterated samples; a comparative analysis was then performed. Linear discriminant analysis coupled with a tabu search algorithm for feature selection was applied to the ETongue's analytical data to select the best model. A discriminant model with 12 sensors was obtained. This model classified correctly all samples in both in internal (train data, 15 samples) and external validation (test data,10 samples). Also, multiple linear regression with tabu search was applied to verify if ETongue's data would allow quantifying the honey's adulteration level. The results showed that it was possible to obtain a quantitative model but with unsatisfactory predictive performance in the test data group (external validation), giving, in general, values below the expected concentrations. E-tongue is a real-time green, flexible and low-cost analytical tool that requires minimum sample preparation and no special technical skills, being a promising tool for everyday application. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/5ada2b73-1817-4788-a150-61be72cac99d/download |
| funding.funder.alternateName_str_mv | FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID 6817 - DCRRNI ID |
| id | ipb_4920329eef3e962fed14074cebe23ebd |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/28671 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/28671 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Dias, L.G. Dias, L.G. https://www.ciencia-id.pt/2F11-9092-FAAF 2F11-9092-FAAF http://orcid.org/0000-0002-1210-4259 0000-0002-1210-4259 Bruni, Andressa R.S. Anizelli, Camilla P. Zangirolami, Marcela de Souza Lima, Patrícia C. Estevinho, Leticia M. Estevinho, Leticia M. https://www.ciencia-id.pt/BA14-09D6-A406 BA14-09D6-A406 http://orcid.org/0000-0002-9249-1948 0000-0002-9249-1948 Bona, Evandro |
| publishDate | 2022 |
| publisher.none.fl_str_mv | John Wiley & Sons |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engJohn Wiley & Sonspt_PTThis study successfully applied a potentiometric E-tongue with 20 cross-selectivity lipidic polymeric membranes in the discrimination of three semi-quantitative groups, that represented the following intervals of honey adulteration percentage with cane sugar: 0 %; [0, 10]%; [10, 20]% of adulteration. We analysed five different types of Portuguese honey; five brands of cane sugar were added to the adulterated samples; a comparative analysis was then performed. Linear discriminant analysis coupled with a tabu search algorithm for feature selection was applied to the ETongue's analytical data to select the best model. A discriminant model with 12 sensors was obtained. This model classified correctly all samples in both in internal (train data, 15 samples) and external validation (test data,10 samples). Also, multiple linear regression with tabu search was applied to verify if ETongue's data would allow quantifying the honey's adulteration level. The results showed that it was possible to obtain a quantitative model but with unsatisfactory predictive performance in the test data group (external validation), giving, in general, values below the expected concentrations. E-tongue is a real-time green, flexible and low-cost analytical tool that requires minimum sample preparation and no special technical skills, being a promising tool for everyday application.application/pdfpt_PTSemi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETonguePersonalDias, L.G.DSpacehttp://dspace.org/items/eac8c166-4056-4ed0-8d8d-7ecb2c4481a5DSpacehttp://dspace.org/items/eac8c166-4056-4ed0-8d8d-7ecb2c4481a5DiasLuís G.Ciência IDhttps://www.ciencia-id.pt2F11-9092-FAAFORCIDhttp://orcid.org0000-0002-1210-4259Scopus Author IDhttps://www.scopus.com23569169900Bruni, Andressa R.S.Anizelli, Camilla P.Zangirolami, Marcela de SouzaLima, Patrícia C.PersonalEstevinho, Leticia M.DSpacehttp://dspace.org/items/4a1d5ba2-1854-4ca5-89a4-73f35e964df9DSpacehttp://dspace.org/items/4a1d5ba2-1854-4ca5-89a4-73f35e964df9EstevinhoLetícia M.Ciência IDhttps://www.ciencia-id.ptBA14-09D6-A406ORCIDhttp://orcid.org0000-0002-9249-1948Scopus Author IDhttps://www.scopus.com6506577664Scopus Author IDhttps://www.scopus.com57211945650Bona, EvandroHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISSNIsPartOf1612-1872DOIIsPartOf10.1002/cbdv.2022006982023-08-03T10:48:25Z20222022-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/28671http://purl.org/coar/access_right/c_abf2open accessAdulterated honeyLinear discriminant analysisMultiple linear regressionPotentiometric E-TongueTabu search3753936 bytesFundação para a Ciência e a TecnologiaMountain Research Center6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaMountain Research Center6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_6501journal article2022http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/5ada2b73-1817-4788-a150-61be72cac99d/downloadChemistry & Biodiversity1911 |
| spellingShingle | Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue Dias, L.G. Adulterated honey Linear discriminant analysis Multiple linear regression Potentiometric E-Tongue Tabu search |
| status | SINGLETON |
| subject.fl_str_mv | Adulterated honey Linear discriminant analysis Multiple linear regression Potentiometric E-Tongue Tabu search |
| title | Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue |
| title_full | Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue |
| title_fullStr | Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue |
| title_full_unstemmed | Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue |
| title_short | Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue |
| title_sort | Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue |
| topic | Adulterated honey Linear discriminant analysis Multiple linear regression Potentiometric E-Tongue Tabu search |
| topic_facet | Adulterated honey Linear discriminant analysis Multiple linear regression Potentiometric E-Tongue Tabu search |
| url | http://hdl.handle.net/10198/28671 |
| visible | 1 |