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Rapid quantification and isotopic analysis of dissolved sulfur species

Overview of attention for article published in Rapid Communications in Mass Spectrometry, April 2017
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Article details
Title
Rapid quantification and isotopic analysis of dissolved sulfur species
Published in
Rapid Communications in Mass Spectrometry, April 2017
DOI 10.1002/rcm.7846
Pubmed ID
Authors
Abstract

Dissolved sulfur species are of significant interest, both as important substrates for microbial activities and as key intermediaries in biogeochemical cycles. Species of intermediate oxidation state such as sulfite, thiosulfate, and thiols are of particular interest but are notoriously difficult to analyze, because of low concentrations and rapid oxidation during storage and analysis. Dissolved sulfur species are reacted with monobromobimane which yields a fluorescent bimane derivative that is stable to oxidation. Separation by Ultra-Performance Liquid Chromatography (UPLC) on a C18 column yields baseline resolution of analytes in under 5 minutes. Fluorescence detection (380 nm excitation, 480 nm emission) provides highly selective and sensitive quantitation, and Time of Flight Mass Spectrometry (TOF-MS) is used to quantify isotopic abundance, providing the ability to detect stable isotope tracers (either (33) S or (34) S). Sulfite, thiosulfate, methanethiol, and bisulfide were quantified with on-column detection limits of picomoles (μM concentrations). Other sulfur species with unshared electrons are also amenable to analysis. TOF-MS detection of (34) S enrichment was accurate and precise to within 0.6% (relative) when sample and standard had similar isotope ratios, and was able to detect enrichments as small as 0.01 atom%. Accuracy was validated by comparison to isotope-ratio mass spectrometry. Four example applications are provided to demonstrate the utility of this method. Derivatization of aqueous sulfur species with bromobimane is easily accomplished in the field, and protects analytes from oxidation during storage. UPLC separation with fluorescence detection provides low μM detection limits. Using a high-resolution TOF-MS, accurate detection of as little as 0.01% (34) S label incorporation into multiple species is feasible. This provides a useful new analytical window into microbial sulfur cycling.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 33%
Researcher 7 18%
Student > Bachelor 3 8%
Student > Master 3 8%
Professor 2 5%
Other 3 8%
Unknown 9 23%
Readers by discipline
Readers by discipline Count As %
Earth and Planetary Sciences 9 23%
Environmental Science 4 10%
Biochemistry, Genetics and Molecular Biology 4 10%
Chemistry 3 8%
Materials Science 3 8%
Other 6 15%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 April 2017.
All research outputs
#14,588,331
of 24,477,448 outputs
Outputs from Rapid Communications in Mass Spectrometry
#2,710
of 4,891 outputs
Outputs of similar age
#164,262
of 314,529 outputs
Outputs of similar age from Rapid Communications in Mass Spectrometry
#16
of 51 outputs
Altmetric has tracked 24,477,448 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,891 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 314,529 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.