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Determination of As, Se, and Hg in fuel samples by in-chamber chemical vapor generation ICP OES using a Flow Blurring® multinebulizer

Overview of attention for article published in Analytical & Bioanalytical Chemistry, July 2017
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Title
Determination of As, Se, and Hg in fuel samples by in-chamber chemical vapor generation ICP OES using a Flow Blurring® multinebulizer
Published in
Analytical & Bioanalytical Chemistry, July 2017
DOI 10.1007/s00216-017-0484-6
Pubmed ID
Authors

Miriam García, Miguel Ángel Aguirre, Antonio Canals

Abstract

In this work, a new and simple analytical methodology based on in-chamber chemical vapor generation has been developed for the spectrochemical analysis of commercial fuel samples. A multiple nebulizer with three nebulization units has been employed for this purpose: One unit was used for sample introduction, while the other two were used for the necessary reagent introduction. In this way, the aerosols were mixed inside the spray chamber. Through this method, analyte transport and, therefore, sensitivity are improved in inductively coupled plasma-optical emission spectrometry. The factors (i.e., variables), influencing chemical vapor generation, have been optimized using a multivariate approach. Under optimum chemical vapor generation conditions ([NaBH4] = 1.39%, [HCl] = 2.97 M, total liquid flow = 936 μL min(-1)), the proposed sample introduction system allowed the determination of arsenic, selenium, and mercury up to 5 μg g(-1) with a limit of detection of 25, 140, and 13 μg kg(-1), respectively. Analyzing spiked commercial fuel samples, recovery values obtained were between 96 and 113%, and expanded uncertainty values ranged from 4 to 16%. The most striking practical conclusion of this investigation is that no carbon deposit appears on the plasma torch after extended periods of working. Graphical abstract A new and simple analytical methodology based on in-chamber chemical vapor generation has been developed for the spectrochemical analysis of commercial fuel samples in ICP OES.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 20%
Researcher 3 15%
Student > Ph. D. Student 3 15%
Professor 2 10%
Student > Postgraduate 2 10%
Other 5 25%
Unknown 1 5%
Readers by discipline Count As %
Chemistry 15 75%
Computer Science 1 5%
Environmental Science 1 5%
Unknown 3 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 September 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,543
of 9,619 outputs
Outputs of similar age
#285,008
of 325,442 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#118
of 163 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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