2019
DOI: 10.1590/1807-1929/agriambi.v23n1p71-76
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Poincianella pluviosa as biomonitor of heavy metals in the municipality of Volta Redonda, RJ, Brazil

Abstract: The present study aimed to determine heavy metal concentrations in the tree bark of the species Poincianella pluviosa in Volta Redonda municipality, Rio de Janeiro. Four sets of barks of eight trees with three replicates each from sectors 1 (W), 2 (S), 3 (E), and 4 (N) of the Volta Redonda center corresponding to the cardinal points were collected. The samples were digested in a nitroperchloric mixture and the lead (Pb), cadmium (Cd), nickel (Ni), copper (Cu), zinc (Zn), iron (Fe), and manganese (Mn) contents … Show more

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Cited by 4 publications
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“…Mattos, Swietenia macrophylla King, Schinus terebinthifoliusRaddi, Cariniana estrellensis (Raddi) Kuntze, Poincianellapluviosa (DC.) LP Queiros and Hymenaea courbaril L.) are widely distributed in Brazil and have great relevance in several segments, such as: in the recovering of degraded ecosystems, in the enrichment of forests, in urban landscaping, in the biomonitoring and phytoremediation of areas with heavy metals and in the production of food, cosmetics and pharmaceutical products (Silva et al 2010, Veggi et al 2014, Oliveira et al 2018, Balestrin et al 2019, Costa et al 2019, Domingos et al 2019, Souza et al 2019, Farias et al 2020, Lisboa et al 2020.…”
Section: Introductionmentioning
confidence: 99%
“…Mattos, Swietenia macrophylla King, Schinus terebinthifoliusRaddi, Cariniana estrellensis (Raddi) Kuntze, Poincianellapluviosa (DC.) LP Queiros and Hymenaea courbaril L.) are widely distributed in Brazil and have great relevance in several segments, such as: in the recovering of degraded ecosystems, in the enrichment of forests, in urban landscaping, in the biomonitoring and phytoremediation of areas with heavy metals and in the production of food, cosmetics and pharmaceutical products (Silva et al 2010, Veggi et al 2014, Oliveira et al 2018, Balestrin et al 2019, Costa et al 2019, Domingos et al 2019, Souza et al 2019, Farias et al 2020, Lisboa et al 2020.…”
Section: Introductionmentioning
confidence: 99%