Article in Biological trace element research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
14 authors.
Rafaela RosaGroup of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0003-1592-3003
Daniela Granja ArakakiGroup of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0002-2066-7908
Elaine MeloGroup of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0002-4766-7334
Luana LeiteGroup of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0001-9258-8515
Hugo PereiraGroup of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0002-2893-8709
Kassia Roberta Nogueira da SilvaGroup of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0002-0716-2745
Rita de Cássia Avellaneda GuimarãesGraduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0001-9324-7018
Karine de Cássia FreitasGraduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0002-5813-6088
Priscila Aiko HianeGraduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0003-1115-4083
Danielle BogoGraduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0003-0233-3047
Geraldo DamascenoGraduate Program On Vegetal Biology, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0002-4554-9369
Marta Aratuza Pereira AncelGroup of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0009-0003-0245-7258
Ademir da Silva Alves JuniorGroup of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil.ORCID http://orcid.org/0000-0002-7000-7182
Valter Aragão do NascimentoGroup of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program On Health and Development in West Central Region, School of Medicine, Federal University of Mato Grosso Do Sul, UFMS, Campo Grande, 79070-900, Brazil. aragao60@hotmail.com.ORCID http://orcid.org/0000-0002-9020-8002
Funding
Conselho Nacional de Desenvolvimento Científico e Tecnológico 001
6 · The paper itself
Abstract
Pantanal is a unique biome located in Brazil, with diverse fauna and flora, being home to native species such as the rice types Oryza latifolia and Oryza rufipogon. Rice is a staple food for two-thirds of the population, with increasing consumption, especially in Asia, regions of Sub-Saharan Africa, countries in the Caribbean, and Latin America. The per capita rice consumption had an average consumption of 160 g/day. However, rice consumption may lead to the intake of other harmful substances to health, such as toxic metals/metalloids. The determination of potential hazards in native species is crucial in maintaining the local population in good health. In this study, we determined the concentration of essential elements and potentially toxic elements in seven different types of Brazilian rice grains, including the two Pantanal native species O. latifolia and O. rufipogon, using ICP-OES to identify their nutritional richness or potential toxicity. The contaminant with the highest HQ levels was chromium, with an HQ above one only in the native species. All species (commercial and native) showed carcinogenic risk considering inorganic arsenic. Rice exhibits duality in its classification, providing nutritional content and leading people to potential risks of overexposure to toxic elements. While rice can be part of a healthy and nutritious diet, more studies should be conducted on avoiding or remedying contamination with toxic elements.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Determination of Selected Metals and Metalloids in Different Types of Rice by Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). · full record | OpenQuestion