Particulate matter (PM10) from Sao Carlos-SP (Braz... - BV FAPESP
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Particulate matter (PM10) from Sao Carlos-SP (Brazil): spectroanalytical techniques to evaluate and determine chemical elements

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Autor(es):
Alexandrina, Eduardo Carlos [1, 2] ; Babos, Diego Victor [1] ; Andrade, Daniel Fernandes [1] ; Costa, Vinicius Camara [1] ; Lui, Elaine Schornobay [3] ; Correa, Nivaldo Aparecido [4] ; Aguiar, Monica Lopes [2] ; Pereira-Filho, Edenir Rodrigues [1]
Número total de Autores: 8
Afiliação do(s) autor(es):
[1] Univ Fed Sao Carlos, Dept Chem, Grp Appl Instrumental Anal, Sao Carlos, SP - Brazil
[2] Univ Fed Sao Carlos, Dept Chem Engn, Sao Carlos, SP - Brazil
[3] Univ Tecnol Fed Parana, Dept Environm Engn, Francisco Beltrao - Brazil
[4] Univ Sao Paulo, Sch Engn Sao Carlos, Dept Hydraul & Sanitat, Sao Carlos, SP - Brazil
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY; v. 99, n. 7 MAY 2019.
Citações Web of Science: 0
Resumo

Chemical composition of PM10 was studied during the period of 2014-2015 in the city of Sao Carlos, Brazil ('Dos Voluntarios' Square). PM10 samples were directly analysed by wavelength dispersive X-ray fluorescence - WD-XRF (Al, Ca, Ce, Cl, Fe, K, Mg, P, S, Si, Ti, V, and Zn), and by laser-induced breakdown spectroscopy - LIBS (Ba, Ca, Fe, K, Mg, Na, Si and Ti) both for qualitative purposes. For quantitative analysis of Al, Ba, Ca, Fe, K, Na, S, and Zn, the analytes were extracted from samples of PM10 collected, in filters of glass fibre, with an extractive acid solution (HNO3 and HCl) and determined by inductively coupled plasma optical emission spectrometry - ICP OES. Spatial variations of elemental concentrations (ng m(-3)) were significantly higher in winter Al (19.0), Ba (13.6), Ca (20.0), Na (27.0), S (37.1), and Zn (9.5), autumn showed the highest concentration of Na (26.4), spring showed the highest concentration of Fe (11.6), K (13.1) and also S (25.3) and summer did not show a high concentration in the comparison between the seasons at the site. Using principal component analysis (PCA), as a data interpretation tool, with the data obtained by the WD-XRF and LIBS it was not possible to obtain a good correlation, but with the data of ICP OES, it was possible to verify correlations between identified and determinate elements, with samples collected in the autumn, winter, spring and summer seasons in the city of Sao Carlos. These associated analytical techniques were excellent tools in environmental monitoring, through the analysis of PM10 samples, presenting reliable and efficiency strategy, and based on the PCA and the EF equation was possible to draw the profile of the possible origins of these elements in the city. (AU)

Processo FAPESP: 16/01513-0 - Combinação de LIBS (Laser-Induced Breakdown Spectroscopy) e ICP OES (Inductively Coupled Plasma Optical Emission Spectrometry) na análise de amostras de resíduo eletrônico (circuito eletrônico e polímeros), alimentos e líquidas de difícil preparação
Beneficiário:Edenir Rodrigues Pereira Filho
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 12/14928-2 - Previsão de material particulado a curto e médio prazo com o uso de redes neurais artificiais.
Beneficiário:Elaine Schornobay
Modalidade de apoio: Bolsas no Brasil - Doutorado
Processo FAPESP: 16/17304-0 - Proposição de métodos para a análise direta de amostras de lixo eletrônico: determinação de elementos preciosos, estratégicos e tóxicos em circuitos eletrônicos e telas touch screen
Beneficiário:Daniel Fernandes de Andrade
Modalidade de apoio: Bolsas no Brasil - Doutorado