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Analytical techniques for steroid estrogens in water samples - A review

Overview of attention for article published in Chemosphere, September 2016
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Title
Analytical techniques for steroid estrogens in water samples - A review
Published in
Chemosphere, September 2016
DOI 10.1016/j.chemosphere.2016.09.051
Pubmed ID
Authors

Ting Yien Fang, Sarva Mangala Praveena, Claire deBurbure, Ahmad Zaharin Aris, Sharifah Norkhadijah Syed Ismail, Irniza Rasdi

Abstract

In recent years, environmental concerns over ultra-trace levels of steroid estrogens concentrations in water samples have increased because of their adverse effects on human and animal life. Special attention to the analytical techniques used to quantify steroid estrogens in water samples is therefore increasingly important. The objective of this review was to present an overview of both instrumental and non-instrumental analytical techniques available for the determination of steroid estrogens in water samples, evidencing their respective potential advantages and limitations using the Need, Approach, Benefit, and Competition (NABC) approach. The analytical techniques highlighted in this review were instrumental and non-instrumental analytical techniques namely gas chromatography mass spectrometry (GC-MS), liquid chromatography mass spectrometry (LC-MS), enzyme-linked immuno sorbent assay (ELISA), radio immuno assay (RIA), yeast estrogen screen (YES) assay, and human breast cancer cell line proliferation (E-screen) assay. The complexity of water samples and their low estrogenic concentrations necessitates the use of highly sensitive instrumental analytical techniques (GC-MS and LC-MS) and non-instrumental analytical techniques (ELISA, RIA, YES assay and E-screen assay) to quantify steroid estrogens. Both instrumental and non-instrumental analytical techniques have their own advantages and limitations. However, the non-instrumental ELISA analytical techniques, thanks to its lower detection limit and simplicity, its rapidity and cost-effectiveness, currently appears to be the most reliable for determining steroid estrogens in water samples.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Canada 1 <1%
Unknown 139 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 25 18%
Student > Master 24 17%
Student > Ph. D. Student 20 14%
Student > Doctoral Student 11 8%
Researcher 9 6%
Other 18 13%
Unknown 34 24%
Readers by discipline Count As %
Chemistry 33 23%
Environmental Science 25 18%
Engineering 12 9%
Agricultural and Biological Sciences 8 6%
Chemical Engineering 6 4%
Other 17 12%
Unknown 40 28%
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 26 September 2016.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Chemosphere
#10,086
of 13,455 outputs
Outputs of similar age
#255,937
of 330,676 outputs
Outputs of similar age from Chemosphere
#103
of 147 outputs
Altmetric has tracked 25,373,627 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 13,455 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 15th percentile – i.e., 15% 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 330,676 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.