| Full text | |
| Author(s): |
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]
Total Authors: 8
|
| Affiliation: | [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
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY; v. 99, n. 7 MAY 2019. |
| Web of Science Citations: | 0 |
| Abstract | |
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) | |
| FAPESP's process: | 16/01513-0 - Laser-Induced Breakdown Spectroscopy (LIBS) application in the analyses of electronic waste (printed circuit boards and polymers), food and difficult preparation liquid samples |
| Grantee: | Edenir Rodrigues Pereira Filho |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 12/14928-2 - Prediction of particulate matter in the short and medium term with the use of artificial neural networks. |
| Grantee: | Elaine Schornobay |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 16/17304-0 - Proposition of methods for direct analysis of electronic waste samples: determination of precious, strategic and toxic elements in printed circuits boards and LCD screens |
| Grantee: | Daniel Fernandes de Andrade |
| Support Opportunities: | Scholarships in Brazil - Doctorate |