Evidence map›Paper›PMID 34156492›Full record

ArticleAnalytical and bioanalytical chemistry2021

Feasibility study on the use of elemental profiles to authenticate aromatic rice: the case of Basmati and Thai rice.

Catalina Dumitrascu, Yiannis Fiamegos, Maria Beatriz de la Calle Guntiñas

Abstract read
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Article in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Catalina DumitrascuEuropean Commission, Joint Research Centre (JRC), Retieseweg 111, 2440, Geel, Belgium.
Yiannis FiamegosEuropean Commission, Joint Research Centre (JRC), Retieseweg 111, 2440, Geel, Belgium.
Maria Beatriz de la Calle GuntiñasEuropean Commission, Joint Research Centre (JRC), Retieseweg 111, 2440, Geel, Belgium. maria.de-la-calle@ec.europa.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the thousands of existing rice varieties, aromatic rice has increasingly attracted consumer's preference in recent years. Within aromatic rice, Basmati, cultivated in some regions in Pakistan and India, is highly demanded. Other aromatic rice, cultivated in specific regions, for instance in Thailand (commonly referred to as Jasmine Thai rice), are also highly appreciated by consumers. In this work, the elemental profiles of commercially available rice samples (17 Basmati, 11 Thai, and 7 Long Grain rice) were determined by energy-dispersive X-ray fluorescence (ED-XRF) spectroscopy. The mass fractions of P, Cl, S, K, Fe, Cu, and Zn were significantly different (95% confidence interval) between Basmati and Thai rice and between Thai and Long Grain rice; only Cl, S, and Zn were significantly different between Basmati and Long Grain rice. Multivariate evaluation of the results combining soft independent modelling by class analogy (SIMCA) and partial least square discriminant analysis (PLS-DA) allowed the correct classification (true positives) of 94.1, 85.6, and 100% of the Basmati, Long Grain, and Thai rice, respectively. The specificity (true negatives) of Basmati, Long Grain, and Thai was 94.4, 82.1, and 100%, respectively.

Indexed as

AgricultureElementsFeasibility StudiesMultivariate AnalysisOryzaSeedsElementsBasmatiElemental profileEnergy-dispersive X-ray fluorescence (ED-XRF) spectroscopyMultivariate analysisRiceThai

Identifiers

PMID34156492
PMCPMC8405519

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