Spectroscopic methodologies for fresh food authentication
Autor(a) principal: | |
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Data de Publicação: | 2016 |
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/10348/11800 |
Resumo: | The increasing occurrence of fraud in foodstuffs points to the need to the identification of species as a part of authentication. Particularly, meat and fish can be targets of adulteration, such as the substitution or removal of ingredients, addition of proteins from various origins and the addition of food additives, contributing to increased financial profits [1]. Researchers have applied various analytical techniques for the detection of fraud in foodstuffs. The protein, DNA and PCR based techniques have become increasingly important. However, these methods are laborious, expensive, destructive and require sophisticated laboratory procedures. Moreover, they are not suitable for real-time applications. Nondestructive technologies for authentication and traceability of foodstuffs, including nuclear magnetic resonance (NMR) imaging, fluorescence (FS), near infrared (NIR), mid infrared (MIR) and Raman (RS) spectroscopy coupled with Fourier transform (FT) and multispectral (MS) and hyperspectral (HIS) imaging, are emerging technologies [2]. Combined with multivariate statistical methods, NIR, MIR, RAMAN are well established techniques that were largely applied in the authentication of foodstuffs. These technologies are simple, non-invasive, low cost, allow real time analysis, require small samples and no further sample preparation is necessary. The MS, HIS and spatial multispectral analysis convenient for food inspection. They are able to analyzed larger number of samples simultaneously. However, the high initial costs and difficulties in data acquisition have limited the use of this real-time technology. In this work a revision of the state of the art on spectroscopic methods for food authentication will be presented as well as the experimental results obtained in the study of adulteration of fallow deer (Dama dama) with goat (Capra aegagrus hircus). |
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Spectroscopic methodologies for fresh food authenticationThe increasing occurrence of fraud in foodstuffs points to the need to the identification of species as a part of authentication. Particularly, meat and fish can be targets of adulteration, such as the substitution or removal of ingredients, addition of proteins from various origins and the addition of food additives, contributing to increased financial profits [1]. Researchers have applied various analytical techniques for the detection of fraud in foodstuffs. The protein, DNA and PCR based techniques have become increasingly important. However, these methods are laborious, expensive, destructive and require sophisticated laboratory procedures. Moreover, they are not suitable for real-time applications. Nondestructive technologies for authentication and traceability of foodstuffs, including nuclear magnetic resonance (NMR) imaging, fluorescence (FS), near infrared (NIR), mid infrared (MIR) and Raman (RS) spectroscopy coupled with Fourier transform (FT) and multispectral (MS) and hyperspectral (HIS) imaging, are emerging technologies [2]. Combined with multivariate statistical methods, NIR, MIR, RAMAN are well established techniques that were largely applied in the authentication of foodstuffs. These technologies are simple, non-invasive, low cost, allow real time analysis, require small samples and no further sample preparation is necessary. The MS, HIS and spatial multispectral analysis convenient for food inspection. They are able to analyzed larger number of samples simultaneously. However, the high initial costs and difficulties in data acquisition have limited the use of this real-time technology. In this work a revision of the state of the art on spectroscopic methods for food authentication will be presented as well as the experimental results obtained in the study of adulteration of fallow deer (Dama dama) with goat (Capra aegagrus hircus).ICBAS UP2023-10-17T11:21:39Z2016-01-01T00:00:00Z20162016-10-22T19:18:09Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10348/11800engAlmeida, José Manuel Marques Martins deMoreira, Maria JoãoSaraiva, Cristina Maria Teixeirainfo: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:RCAAP2024-02-02T12:33:14Zoai:repositorio.utad.pt:10348/11800Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:00:56.367720Repositório 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 |
Spectroscopic methodologies for fresh food authentication |
title |
Spectroscopic methodologies for fresh food authentication |
spellingShingle |
Spectroscopic methodologies for fresh food authentication Almeida, José Manuel Marques Martins de |
title_short |
Spectroscopic methodologies for fresh food authentication |
title_full |
Spectroscopic methodologies for fresh food authentication |
title_fullStr |
Spectroscopic methodologies for fresh food authentication |
title_full_unstemmed |
Spectroscopic methodologies for fresh food authentication |
title_sort |
Spectroscopic methodologies for fresh food authentication |
author |
Almeida, José Manuel Marques Martins de |
author_facet |
Almeida, José Manuel Marques Martins de Moreira, Maria João Saraiva, Cristina Maria Teixeira |
author_role |
author |
author2 |
Moreira, Maria João Saraiva, Cristina Maria Teixeira |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Almeida, José Manuel Marques Martins de Moreira, Maria João Saraiva, Cristina Maria Teixeira |
description |
The increasing occurrence of fraud in foodstuffs points to the need to the identification of species as a part of authentication. Particularly, meat and fish can be targets of adulteration, such as the substitution or removal of ingredients, addition of proteins from various origins and the addition of food additives, contributing to increased financial profits [1]. Researchers have applied various analytical techniques for the detection of fraud in foodstuffs. The protein, DNA and PCR based techniques have become increasingly important. However, these methods are laborious, expensive, destructive and require sophisticated laboratory procedures. Moreover, they are not suitable for real-time applications. Nondestructive technologies for authentication and traceability of foodstuffs, including nuclear magnetic resonance (NMR) imaging, fluorescence (FS), near infrared (NIR), mid infrared (MIR) and Raman (RS) spectroscopy coupled with Fourier transform (FT) and multispectral (MS) and hyperspectral (HIS) imaging, are emerging technologies [2]. Combined with multivariate statistical methods, NIR, MIR, RAMAN are well established techniques that were largely applied in the authentication of foodstuffs. These technologies are simple, non-invasive, low cost, allow real time analysis, require small samples and no further sample preparation is necessary. The MS, HIS and spatial multispectral analysis convenient for food inspection. They are able to analyzed larger number of samples simultaneously. However, the high initial costs and difficulties in data acquisition have limited the use of this real-time technology. In this work a revision of the state of the art on spectroscopic methods for food authentication will be presented as well as the experimental results obtained in the study of adulteration of fallow deer (Dama dama) with goat (Capra aegagrus hircus). |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-01T00:00:00Z 2016 2016-10-22T19:18:09Z 2023-10-17T11:21:39Z |
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/10348/11800 |
url |
http://hdl.handle.net/10348/11800 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
ICBAS UP |
publisher.none.fl_str_mv |
ICBAS UP |
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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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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