Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopy
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.foodres.2022.111913 http://hdl.handle.net/11449/245991 |
Resumo: | Honey is considered a complex matrix for presenting a range of secondary metabolites originating from the regional flora. It has been highlighted as a functional food consumed worldwide and frequently suffering from adulteration. Fraud methods have been sophisticated over the years, indicating the need of a continuous updating of the existing analysis methods. For this reason, analytical techniques applied to honey have been expanded, allowing the detection of fraud and the determination of geographic and botanical origin, to guarantee the authenticity of the product. In this sense, this study aimed to characterize floral honey samples in 2019–2020 and 2020–2021 harvests in the states of Santa Catarina (SC, southern Brazil – n = 73) and São Paulo (SP, southeastern Brazil – n = 59), through UV–vis, NIR, and NMR spectroscopies. The total reduced capacity showed a wide variation (0.76–12.8 mg GAE.g−1) among the SC and SP samples. Spectroscopic analyses through UV–vis and NMR with the application of PCA proved effective for discriminating honey samples according to their geographical origin. The honey UV–vis spectral profiles allowed to detect wavelengths that can be associated with honey adulteration, however further studies are needed to establish the accuracy of detection regarding fraud. In summary, a set of analytical protocols is presented to determine the geographical origin of floral honey, even when originated from regions with great biodiversity such as Brazil. |
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Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopyChemometricsHoneyMetabolomicsPCASpectral profileTotal phenolicsTypificationHoney is considered a complex matrix for presenting a range of secondary metabolites originating from the regional flora. It has been highlighted as a functional food consumed worldwide and frequently suffering from adulteration. Fraud methods have been sophisticated over the years, indicating the need of a continuous updating of the existing analysis methods. For this reason, analytical techniques applied to honey have been expanded, allowing the detection of fraud and the determination of geographic and botanical origin, to guarantee the authenticity of the product. In this sense, this study aimed to characterize floral honey samples in 2019–2020 and 2020–2021 harvests in the states of Santa Catarina (SC, southern Brazil – n = 73) and São Paulo (SP, southeastern Brazil – n = 59), through UV–vis, NIR, and NMR spectroscopies. The total reduced capacity showed a wide variation (0.76–12.8 mg GAE.g−1) among the SC and SP samples. Spectroscopic analyses through UV–vis and NMR with the application of PCA proved effective for discriminating honey samples according to their geographical origin. The honey UV–vis spectral profiles allowed to detect wavelengths that can be associated with honey adulteration, however further studies are needed to establish the accuracy of detection regarding fraud. In summary, a set of analytical protocols is presented to determine the geographical origin of floral honey, even when originated from regions with great biodiversity such as Brazil.UFSC Federal University of Santa Catarina, Santa CatarinaUNESP São Paulo State UniversityUCS Caxias do Sul University, Rio Grande do SulUNESP São Paulo State UniversityUniversidade Federal de Santa Catarina (UFSC)Universidade Estadual Paulista (UNESP)Caxias do Sul UniversityNunes, AlineZilto Azevedo, GadielRocha dos Santos, BeatrizVanz Borges, Cristine [UNESP]Pace Pereira Lima, Giuseppina [UNESP]Conte Crocoli, LuanaMoura, SidneiMaraschin, Marcelo2023-07-29T12:28:48Z2023-07-29T12:28:48Z2022-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.foodres.2022.111913Food Research International, v. 162.1873-71450963-9969http://hdl.handle.net/11449/24599110.1016/j.foodres.2022.1119132-s2.0-85139049994Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFood Research Internationalinfo:eu-repo/semantics/openAccess2023-07-29T12:28:48Zoai:repositorio.unesp.br:11449/245991Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T12:28:48Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopy |
title |
Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopy |
spellingShingle |
Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopy Nunes, Aline Chemometrics Honey Metabolomics PCA Spectral profile Total phenolics Typification |
title_short |
Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopy |
title_full |
Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopy |
title_fullStr |
Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopy |
title_full_unstemmed |
Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopy |
title_sort |
Characterization of Brazilian floral honey produced in the states of Santa Catarina and São Paulo through ultraviolet–visible (UV–vis), near-infrared (NIR), and nuclear magnetic resonance (NMR) spectroscopy |
author |
Nunes, Aline |
author_facet |
Nunes, Aline Zilto Azevedo, Gadiel Rocha dos Santos, Beatriz Vanz Borges, Cristine [UNESP] Pace Pereira Lima, Giuseppina [UNESP] Conte Crocoli, Luana Moura, Sidnei Maraschin, Marcelo |
author_role |
author |
author2 |
Zilto Azevedo, Gadiel Rocha dos Santos, Beatriz Vanz Borges, Cristine [UNESP] Pace Pereira Lima, Giuseppina [UNESP] Conte Crocoli, Luana Moura, Sidnei Maraschin, Marcelo |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Santa Catarina (UFSC) Universidade Estadual Paulista (UNESP) Caxias do Sul University |
dc.contributor.author.fl_str_mv |
Nunes, Aline Zilto Azevedo, Gadiel Rocha dos Santos, Beatriz Vanz Borges, Cristine [UNESP] Pace Pereira Lima, Giuseppina [UNESP] Conte Crocoli, Luana Moura, Sidnei Maraschin, Marcelo |
dc.subject.por.fl_str_mv |
Chemometrics Honey Metabolomics PCA Spectral profile Total phenolics Typification |
topic |
Chemometrics Honey Metabolomics PCA Spectral profile Total phenolics Typification |
description |
Honey is considered a complex matrix for presenting a range of secondary metabolites originating from the regional flora. It has been highlighted as a functional food consumed worldwide and frequently suffering from adulteration. Fraud methods have been sophisticated over the years, indicating the need of a continuous updating of the existing analysis methods. For this reason, analytical techniques applied to honey have been expanded, allowing the detection of fraud and the determination of geographic and botanical origin, to guarantee the authenticity of the product. In this sense, this study aimed to characterize floral honey samples in 2019–2020 and 2020–2021 harvests in the states of Santa Catarina (SC, southern Brazil – n = 73) and São Paulo (SP, southeastern Brazil – n = 59), through UV–vis, NIR, and NMR spectroscopies. The total reduced capacity showed a wide variation (0.76–12.8 mg GAE.g−1) among the SC and SP samples. Spectroscopic analyses through UV–vis and NMR with the application of PCA proved effective for discriminating honey samples according to their geographical origin. The honey UV–vis spectral profiles allowed to detect wavelengths that can be associated with honey adulteration, however further studies are needed to establish the accuracy of detection regarding fraud. In summary, a set of analytical protocols is presented to determine the geographical origin of floral honey, even when originated from regions with great biodiversity such as Brazil. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-01 2023-07-29T12:28:48Z 2023-07-29T12:28:48Z |
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://dx.doi.org/10.1016/j.foodres.2022.111913 Food Research International, v. 162. 1873-7145 0963-9969 http://hdl.handle.net/11449/245991 10.1016/j.foodres.2022.111913 2-s2.0-85139049994 |
url |
http://dx.doi.org/10.1016/j.foodres.2022.111913 http://hdl.handle.net/11449/245991 |
identifier_str_mv |
Food Research International, v. 162. 1873-7145 0963-9969 10.1016/j.foodres.2022.111913 2-s2.0-85139049994 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Food Research International |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1799964560361259008 |