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Automated thin-film microextraction coupled to a flow-through cell: somewhere in between passive and active sampling

Overview of attention for article published in Analytical & Bioanalytical Chemistry, December 2016
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Title
Automated thin-film microextraction coupled to a flow-through cell: somewhere in between passive and active sampling
Published in
Analytical & Bioanalytical Chemistry, December 2016
DOI 10.1007/s00216-016-0145-1
Pubmed ID
Authors

Manuel Wohde, Jens-Ole Bartz, Leonard Böhm, Christoph Hartwig, Benjamin Martin Keil, Katharina Martin, Rolf-Alexander Düring

Abstract

A prototype for the automated thin-film microextraction of pharmaceuticals from aqueous solutions has been developed and is presented here for the first time. With a software-controlled setup, extraction methods for ivermectin and iohexol have been developed. The widely used antiparasitic agent ivermectin is non-polar and has a high tendency to sorb to surfaces. In contrast to this, the nonionic but polar iodinated X-ray contrast agent iohexol is freely water soluble. With these two substances, a wide range of polarity is covered. Sorption kinetics and thermodynamics of ivermectin and iohexol were studied. With the presented passive sampling approach, it was possible to extract up to 96.2% ivermectin with a C18-phase within 1 h and up to 74.6% of iohexol with a PS-DVB phase within 36 h out of water. Using abamectin as internal standard, it was possible to quantitatively follow dissipation of ivermectin in a simulated surface water experiment. Predominantly, the newly developed prototype can be used for automated and time-resolved extraction of xenobiotics from waterbodies under field conditions, for the extraction of substances under laboratory conditions as an alternative to the elaborate solid-phase extraction, and for the automated control of chemical reaction kinetics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 48%
Researcher 4 19%
Student > Master 3 14%
Professor 1 5%
Unknown 3 14%
Readers by discipline Count As %
Chemistry 10 48%
Veterinary Science and Veterinary Medicine 2 10%
Environmental Science 1 5%
Earth and Planetary Sciences 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 10%
Unknown 4 19%
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 01 March 2017.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,601
of 9,619 outputs
Outputs of similar age
#319,866
of 422,358 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#76
of 172 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 21st percentile – i.e., 21% 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 422,358 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.