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Automated Lab-on-a-Chip Technology for Fish Embryo Toxicity Tests Performed under Continuous Microperfusion (μFET)

Overview of attention for article published in Environmental Science & Technology, November 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
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72 Mendeley
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Title
Automated Lab-on-a-Chip Technology for Fish Embryo Toxicity Tests Performed under Continuous Microperfusion (μFET)
Published in
Environmental Science & Technology, November 2015
DOI 10.1021/acs.est.5b03838
Pubmed ID
Authors

Feng Zhu, Adriana Wigh, Timo Friedrich, Alain Devaux, Sylvie Bony, Dayanthi Nugegoda, Jan Kaslin, Donald Wlodkowic

Abstract

The fish embryo toxicity (FET) biotest has gained popularity as one of the alternative approaches to acute fish toxicity tests in chemical hazard and risk assessment. Despite the importance and common acceptance of FET, it is still performed in static multi-well plates and requires laborious and time-consuming manual manipulation of specimens and solutions. This work describes design and validation of a microfluidic Lab-on-a-Chip technology for automation of the zebrafish embryo toxicity test common in aquatic ecotoxicology. The innovative device supports rapid loading and immobilization of large numbers of zebrafish embryos suspended in a continuous microfluidic perfusion as a means of toxicant delivery. Furthermore we also present development of a customized mechatronic automation interface that includes a high-resolution USB microscope, LED cold light illumination and miniaturized 3D printed pumping manifolds that were integrated to enable time-resolved in situ analysis of developing fish embryos. To investigate the applicability of the microfluidic FET (μFET) in toxicity testing, copper sulfate, phenol, ethanol, caffeine and dimethyl sulfoxide were tested as model chemical stressors. Results obtained on a chip-based system were compared with the conventional static FET protocols. This work provides evidence that FET analysis performed under microperfusion opens a brand new alternative for inexpensive automation in aquatic ecotoxicology.

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X Demographics

The data shown below were collected from the profiles of 5 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Peru 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 10 14%
Student > Master 10 14%
Student > Doctoral Student 6 8%
Professor 5 7%
Other 10 14%
Unknown 17 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 18%
Environmental Science 10 14%
Engineering 9 13%
Biochemistry, Genetics and Molecular Biology 6 8%
Medicine and Dentistry 6 8%
Other 10 14%
Unknown 18 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 September 2017.
All research outputs
#14,600,874
of 25,377,790 outputs
Outputs from Environmental Science & Technology
#14,913
of 20,675 outputs
Outputs of similar age
#135,758
of 294,335 outputs
Outputs of similar age from Environmental Science & Technology
#135
of 237 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,675 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one is in the 27th percentile – i.e., 27% 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 294,335 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 53% of its contemporaries.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.