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Skip the beat: minimizing aliasing error in LA-ICP-MS measurements

Overview of attention for article published in Analytical & Bioanalytical Chemistry, August 2018
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  • High Attention Score compared to outputs of the same age and source (91st percentile)

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Title
Skip the beat: minimizing aliasing error in LA-ICP-MS measurements
Published in
Analytical & Bioanalytical Chemistry, August 2018
DOI 10.1007/s00216-018-1314-1
Pubmed ID
Authors

Bodo Hattendorf, Urs Hartfelder, Detlef Günther

Abstract

Pulsed laser ablation sampling and sequential isotope detection can lead to signal beat in the registered signal intensities. In particular, if aerosol transport systems deliver ablated aerosol with temporal duration close to that of a single mass scan, such signal beat can become significant and lead to biased intensity ratios and concentrations. Averaging signal intensities based on the least common multiple of scan duration and laser pulse period can eliminate such a systematic bias and improve the accuracy of quantitative laser ablation experiments. The method was investigated for experiments using an ablation cell that provided aerosol washout times near 200 ms and quadrupole-based ICP-MS acquisition using different dwell and settling times that were compared with and extended by numerical simulations. It was found that the systematic bias of acquired data could exceed the inherent noise of laser ablation inductively couple plasma mass spectrometry experiments and that the averaging method could successfully minimize the bias due to beating. However, simulations revealed that this was only the case for combinations of pulse frequency and scan duration in which the number of laser pulses within the averaged period was an integer multiple of the number of isotopes in the acquisition method. In element imaging applications, this averaging will necessarily increase the size of individual pixels and it depends not only on the laser beam size but also pulse repetition rate and the acquisition settings for a sequential mass spectrometer. Graphical abstract LCM averaging can prevent occurrence of a systematic bias in LA-ICPMS measurements.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Master 8 17%
Researcher 5 11%
Other 5 11%
Student > Bachelor 4 9%
Other 7 15%
Unknown 10 21%
Readers by discipline Count As %
Chemistry 24 51%
Earth and Planetary Sciences 6 13%
Environmental Science 2 4%
Physics and Astronomy 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 2 4%
Unknown 10 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 September 2021.
All research outputs
#7,209,370
of 25,385,509 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,641
of 9,619 outputs
Outputs of similar age
#116,938
of 342,357 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#13
of 165 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,357 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.