Advances in Authenticity Testing for Meat Speciation

Amaral, Joana S.; Meira, Liliana; Oliveira, M. Beatriz P.P.; Mafra, Isabel

doi:10.1016/b978-0-08-100220-9.00014-x

Cited by 24 publications

(29 citation statements)

References 177 publications

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“…DNA-based methods have been considered as the most suitable tools for unequivocal species identification in animal products and processed foods (Amaral, Meira, Oliveira, & Mafra, 2016). Compared to proteinbased methods, they present several advantages such as the higher stability of nucleic acids and their ubiquity in every type of cells.…”

Section: Introductionmentioning

confidence: 99%

“…However, both reports rely on extensive sequencing analysis, which is not a cost-effective and highthroughput approach. In contrast, the use of polymerase chain reaction (PCR) with species-specific primers is one of the most used approaches for authentication purposes due to its low cost, simplicity, fastness, high specificity and sensitivity, enabling species identification even in complex and processed foods (Amaral et al, 2015;Amaral et al, 2016). Real-time PCR with high resolution melting (HRM) analysis can be regarded as a cost-effective alternative and reliable tool to exploit DNA barcoding because it does not require further sequencing analysis (Fernandes, Costa, Oliveira, & Mafra, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Novel diagnostic tools for Asian (Apis cerana) and European (Apis mellifera) honey authentication

Soares

Grazina

Mafra

et al. 2018

Food Research International

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Honey can be produced by different species of honeybees, with two being of economic importance due to their use in apiculture, namely Apis mellifera (known as European honeybee) and Apis cerana (known as Asian honeybee). Due to the decline of the wild populations of the Asian honeybee, this honey generally attains much higher market value, being prone to adulteration. This work aims at proposing new tools, based on the use of molecular markers, for the entomological authentication of honey. To this end, new species-specific primers were designed targeting the tRNA-cox2 intergenic region and allowing the detection of A. cerana DNA by qualitative polymerase chain reaction (PCR). Additionally, a novel real-time PCR method with high resolution melting analysis was developed to target the 16S rRNA gene of both bee species, allowing their discrimination in different clusters. The proposed methodologies were further applied with success in the authentication of Asian and European honey samples by the identification of honeybee DNA, demonstrating the usefulness of these simple and cost-effective new approaches.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Novel diagnostic tools for Asian (Apis cerana) and European (Apis mellifera) honey authentication

Soares

Grazina

Mafra

et al. 2018

Food Research International

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“…The volume of qPCR data is increasing, along with the urgent need for qPCR data integration and centralized documentation. In the past decade, qPCR has been utilized as a tool to support numerous biological fields of inquiry, including natural resource management ( Thomas et al, 2019 ; Fritts et al, 2019 ), food safety ( Amaral et al, 2016 ), conservation planning ( Franklin et al, 2019 ), and disease vector/infectious disease monitoring ( Qurollo et al, 2017 ; Ikten et al, 2016 ). Research using qPCR methodologies extends beyond the detection and quantification of target gene expression.…”

Section: Introductionmentioning

confidence: 99%

Molecular Detection Mapping and Analysis Platform for R (MDMAPR) facilitating the standardization, analysis, visualization, and sharing of qPCR data and metadata

Young

Deeth

et al. 2020

PeerJ

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Quantitative polymerase chain reaction (qPCR) has been used as a standard molecular detection tool in many scientific fields. Unfortunately, there is no standard method for managing published qPCR data, and those currently used generally focus on only managing raw fluorescence data. However, associated with qPCR experiments are extensive sample and assay metadata, often under-examined and under-reported. Here, we present the Molecular Detection Mapping and Analysis Platform for R (MDMAPR), an open-source and fully scalable informatics tool for researchers to merge raw qPCR fluorescence data with associated metadata into a standard format, while geospatially visualizing the distribution of the data and relative intensity of the qPCR results. The advance of this approach is in the ability to use MDMAPR to store varied qPCR data. This includes pathogen and environmental qPCR species detection studies ideally suited to geographical visualization. However, it also goes beyond these and can be utilized with other qPCR data including gene expression studies, quantification studies used in identifying health dangers associated with food and water bacteria, and the identification of unknown samples. In addition, MDMAPR’s novel centralized management and geospatial visualization of qPCR data can further enable cross-discipline large-scale qPCR data standardization and accessibility to support research spanning multiple fields of science and qPCR applications.

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“…DNA-based methods provide a choice of analysis of meat species in processed food based on the fact that the nucleic acids present in every cell type are more stable than protein . [7,8] Most of DNAbased methods rely on polymerase chain reaction (PCR) due to its simplicity, fast, not complex, not involving extensive sample preparation which allows identification of meat type, even in processed and complex food matrix. The use of species-specific primer in combination with restriction fragment length polymorphism has been applied for identification of pork in meat-based foods such as meatball [9] and nugget products in Indonesia .…”

Section: Introductionmentioning

confidence: 99%

Real-time polymerase chain reaction for identification of dog meat in adulterated beef meatball using specific primer targeting on cytochrome-b for halal authentication

Rohman

Pebriyanti

Sismindari

et al. 2020

International Journal of Food Properties

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Advances in Authenticity Testing for Meat Speciation

Cited by 24 publications

References 177 publications

Novel diagnostic tools for Asian (Apis cerana) and European (Apis mellifera) honey authentication

Novel diagnostic tools for Asian (Apis cerana) and European (Apis mellifera) honey authentication

Molecular Detection Mapping and Analysis Platform for R (MDMAPR) facilitating the standardization, analysis, visualization, and sharing of qPCR data and metadata

Real-time polymerase chain reaction for identification of dog meat in adulterated beef meatball using specific primer targeting on cytochrome-b for halal authentication

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