Brown rice authenticity evaluation by spark discharge-laser-induced breakdown spectroscopy

Pérez-Rodríguez, Michael; Dirchwolf, Pamela Maia; Silva, Tiago Varão; Villafañe, Roxana Noelia; Neto, José Anchieta Gomes; Pellerano, Roberto Gerardo; Ferreira, E.

doi:10.1016/j.foodchem.2019.124960

Cited by 33 publications

(12 citation statements)

References 34 publications

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“…These include laser-induced breakdown spectroscopy, near-infrared spectroscopy, nuclear magnetic resonance spectroscopy and Raman spectroscopy [32]. These methods were successfully employed for both rice authentication [39][40][41][42] and detection of chemical contaminants and adulterants [43][44][45][46].…”

Section: Brief Overview Of Non-dna Based Methods For Rice Certificationmentioning

confidence: 99%

DNA-Based Tools to Certify Authenticity of Rice Varieties—An Overview

Vieira

Faustino

Lourenço

et al. 2022

Foods

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Rice (Oryza sativa L.) is one of the most cultivated and consumed crops worldwide. It is mainly produced in Asia but, due to its large genetic pool, it has expanded to several ecosystems, latitudes and climatic conditions. Europe is a rice producing region, especially in the Mediterranean countries, that grow mostly typical japonica varieties. The European consumer interest in rice has increased over the last decades towards more exotic types, often more expensive (e.g., aromatic rice) and Europe is a net importer of this commodity. This has increased food fraud opportunities in the rice supply chain, which may deliver mixtures with lower quality rice, a problem that is now global. The development of tools to clearly identify undesirable mixtures thus became urgent. Among the various tools available, DNA-based markers are considered particularly reliable and stable for discrimination of rice varieties. This review covers aspects ranging from rice diversity and fraud issues to the DNA-based methods used to distinguish varieties and detect unwanted mixtures. Although not exhaustive, the review covers the diversity of strategies and ongoing improvements already tested, highlighting important advantages and disadvantages in terms of costs, reliability, labor-effort and potential scalability for routine fraud detection.

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Section: Brief Overview Of Non-dna Based Methods For Rice Certificationmentioning

confidence: 99%

DNA-Based Tools to Certify Authenticity of Rice Varieties—An Overview

Vieira

Faustino

Lourenço

et al. 2022

Foods

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“…P.R. Michael et al 80 applied linear discriminant analysis (LDA), support vector machine (SVM), k-nearest neighbour (K-NN) and random forest (RF) to classify different protected designation of origin (PDO) rice species. The K-NN algorithm was used to get the best classification effect.…”

Section: Quality and Safety Of Agricultural Products And By-productsmentioning

confidence: 99%

A tutorial review on methods of agricultural product sample pretreatment and target analysis by laser-induced breakdown spectroscopy

Yang

Wang

et al. 2022

J. Anal. At. Spectrom.

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“…Perez-Rodriguez et al, 2019 [ 133 ], and Yang et al, 2018 [ 134 ], used portable LIBS devices to classify rice according to its geographical origin with a 84% and 99% accuracy, respectively, for the two instruments. Moreover, coffee adulterated with wheat, corn, and chickpeas was successfully discriminated from authentic coffee using LIBS technology (R 2 P 0.99, RMSEP 6.68–7.85%, [ 135 ])…”

Section: Current Applications Of Handheld Devices For Food Authenticationmentioning

confidence: 99%

Handheld Devices for Food Authentication and Their Applications: A Review

Müller-Maatsch

Ruth

2021

Foods

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This review summarises miniaturised technologies, commercially available devices, and device applications for food authentication or measurement of features that could potentially be used for authentication. We first focus on the handheld technologies and their generic characteristics: (1) technology types available, (2) their design and mode of operation, and (3) data handling and output systems. Subsequently, applications are reviewed according to commodity type for products of animal and plant origin. The 150 applications of commercial, handheld devices involve a large variety of technologies, such as various types of spectroscopy, imaging, and sensor arrays. The majority of applications, ~60%, aim at food products of plant origin. The technologies are not specifically aimed at certain commodities or product features, and no single technology can be applied for authentication of all commodities. Nevertheless, many useful applications have been developed for many food commodities. However, the use of these applications in practice is still in its infancy. This is largely because for each single application, new spectral databases need to be built and maintained. Therefore, apart from developing applications, a focus on sharing and re-use of data and calibration transfers is pivotal to remove this bottleneck and to increase the implementation of these technologies in practice.

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Brown rice authenticity evaluation by spark discharge-laser-induced breakdown spectroscopy

Cited by 33 publications

References 34 publications

DNA-Based Tools to Certify Authenticity of Rice Varieties—An Overview

DNA-Based Tools to Certify Authenticity of Rice Varieties—An Overview

A tutorial review on methods of agricultural product sample pretreatment and target analysis by laser-induced breakdown spectroscopy

Handheld Devices for Food Authentication and Their Applications: A Review

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