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Keywords
(8)
Arsenic
Atomic Absorption Spectrometry
Particulate Matter
Reference Material
Sample Preparation
Airborne Particulate Matter
Limit of Quantification
Relative Standard Deviation
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Development of an analytical approach for determination of total arsenic and arsenic (III) in airborne particulate matter by slurry sampling and HG-FAAS
Development of an analytical approach for determination of total arsenic and arsenic (III) in airborne particulate matter by slurry sampling and HG-FA
Edit
Development of an analytical approach for determination of total arsenic and arsenic (III) in airborne particulate matter by slurry sampling and HG-FAAS
(
Citations: 6
)
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Samuel M. Macedo
,
Debora C. dos Santos
,
Raildo M. de Jesus
,
Gisele O. da Rocha
,
Sérgio L. C. Ferreira
,
Jailson B. de Andrade
Slurry sampling (SS) with hydride generation
atomic absorption spectrometry
(HG-AAS) was used to analyze 3
particulate matter
samples collected in the Bananeira Village, Brazil, in 2005. The
relative standard deviation
(RSD), used to assess the precision, was lower than 4.8%. The accuracy of this method was confirmed by the analysis of certified atmospheric
particulate matter
urban dust
reference material
SRM 1649a. This method (SS/HG-AAS) was used to determine total
arsenic
and
arsenic
(III) in three
particulate matter
samples. In these samples, the total
arsenic
concentrations varied from 3.8 to 20.0ngm−3, while As (III) concentrations varied from 2.7 to 10.5ngm−3. All samples were also analyzed using acid digestion in digest block with cold finger and detection for HG-AAS. A paired t-test demonstrated no significant difference (95% CL) between the results obtained using these two
sample preparation
procedures. The limit of quantification, calculated considering the mass of
particulate matter
collected on every filter, was 0.6ngm−3 for As total and 1.0ngm−3 for As (III).
Journal:
Microchemical Journal - MICROCHEM J
, vol. 96, no. 1, pp. 46-49, 2010
DOI:
10.1016/j.microc.2010.01.019
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)
Citation Context
(3)
...
2010
; Kilinc et al...
A. S. Dos Passos
,
et al.
Determination of arsenic in chicken feed by hydride generation atomic ...
...Maximum average particulate concentrations of 20 ng/m
3
for As occurred in Brazil (Macedo et al,
2010
)...
Guor-Cheng Fang
,
et al.
Atmospheric Arsenic (As) Concentrations in Different Countries During ...
...Furthermore, iron deficiency is among the most prevalent forms of malnutrition worldwide, and it represents a high overall cost to society (Saman 2007;
Kosse et al. 2001;
Martínez-Navarrete et al. 2002 ;M oy2006)...
...Thus, fortification programs of foods have been created in numerous countries, being an effective means for reducing the prevalence of iron deficiency (
Kosse et al. 2001 ;
M artínez-Navarrete et al. 2002 ;L amonier et al.2010)...
...as flour and milk powder, which are widely consumed by the target population, mainly children (
Kosse et al. 2001;
Martínez-Navarrete et al. 2002)...
...Because of this, most of the existing methods for iron quantification in fortified foods are often complicated, time-consuming, and involve the use of potentially hazardous reagents (
Kosse et al. 2001
)...
Geovani Cardoso Brandao
,
et al.
Development of an Analytical Method Based in the Slurry Sampling for I...
References
(15)
Temporal characteristics of inhalable mercury and arsenic aerosols in the urban atmosphere in southern Taiwan
(
Citations: 34
)
Ying I Tsai
,
Su-Ching Kuo
,
Yi-Hsuan Lin
Journal:
Atmospheric Environment - ATMOS ENVIRON
, vol. 37, no. 24, pp. 3401-3411, 2003
Extraction of arsenic species from airborne particulate filters—Application to an industrial area of Greece
(
Citations: 3
)
Fotios Tsopelas
,
Lambrini-Areti Tsakanika
,
Maria Ochsenkühn-Petropoulou
Journal:
Microchemical Journal - MICROCHEM J
, vol. 89, no. 2, pp. 165-170, 2008
Study of the Levels of Concentration of As, Cd and Ni in a Ceramic Cluster
(
Citations: 3
)
S. Pallarés
,
A. B. Vicente
,
M. M. Jordán
,
T. Sanfeliu
Journal:
Water Air and Soil Pollution - WATER AIR SOIL POLLUT
, vol. 180, no. 1, pp. 51-64, 2007
Size distributions of trace metals in atmospheric aerosols in the United Kingdom
(
Citations: 82
)
A. G Allen
,
E Nemitz
,
J. P Shi
,
R. M Harrison
,
J. C Greenwood
Journal:
Atmospheric Environment - ATMOS ENVIRON
, vol. 35, no. 27, pp. 4581-4591, 2001
Trace Metal Concentrations and Water Solubility in Size-Fractionated Atmospheric Particles and Influence of Road Traffic
(
Citations: 59
)
Wolfram Birmili
,
Andrew G. Allen
,
Frederic Bary
,
Roy M. Harrison
Journal:
Environmental Science & Technology - ENVIRON SCI TECHNOL
, vol. 40, no. 4, pp. 1144-1153, 2006
Sort by:
Citations
(6)
Determination of arsenic in chicken feed by hydride generation atomic absorption spectrometry after pre-concentration with polyurethane foam
A. S. Dos Passos
,
T. S. Néri
,
M. V. Maciel
,
I. L. da Silva Romão
,
V. A. Lemos
Journal:
Food Additives & Contaminants: Part A
, vol. ahead-of-p, no. ahead-of-p, pp. 1-7, 2012
Atmospheric Arsenic (As) Concentrations in Different Countries During 2000–2011
Guor-Cheng Fang
,
Chia-Ying Chang
,
Yi-Liang Huang
,
Jun-Han Huang
Journal:
Environmental Forensics - ENVIRON FORENSICS
, vol. 13, no. 1, pp. 27-31, 2012
An order-theoretic mixing condition for monotone Markov chains
Takashi Kamihigashi
,
John Stachurski
Journal:
Statistics & Probability Letters - STAT PROBAB LETT
, 2011
The Progress in Electron Microscopy Studies of Particulate Matters to Be Used as a Standard Monitoring Method for Air Dust Pollution
Przemysław Sielicki
,
Helena Janik
,
Agnieszka Guzman
,
Jacek Namieśnik
Journal:
Critical Reviews in Analytical Chemistry - CRIT REV ANAL CHEM
, vol. 41, no. 4, pp. 314-334, 2011
Inference in binomial AR ( 1 ) models
(
Citations: 1
)
Yunwei Cui
,
Robert Lund
Journal:
Statistics & Probability Letters - STAT PROBAB LETT
, vol. 80, no. 23, pp. 1985-1990, 2010