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Treatment and reuse of textile wastewaters by mild solar photo-Fenton in the presence of humic-like substances

Overview of attention for article published in Environmental Science and Pollution Research, October 2016
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Title
Treatment and reuse of textile wastewaters by mild solar photo-Fenton in the presence of humic-like substances
Published in
Environmental Science and Pollution Research, October 2016
DOI 10.1007/s11356-016-7889-1
Pubmed ID
Authors

P.G. Negueroles, E. Bou-Belda, L. Santos-Juanes, A. M. Amat, A. Arques, R. F. Vercher, P. Monllor, R. Vicente

Abstract

In this paper, the possibility of reusing textile effluents for new dyeing baths has been investigated. For this purpose, different trichromies using Direct Red 80, Direct Blue 106, and Direct Yellow 98 on cotton have been used. Effluents have been treated by means of a photo-Fenton process at pH 5. Addition of humic-like substances isolated form urban wastes is necessary in order to prevent iron deactivation because of the formation of non-active iron hydroxides. Laboratory-scale experiments carried out with synthetic effluents show that comparable results were obtained when using as solvent water treated by photo-Fenton with SBO and fresh deionized water. Experiments were scaled up to pilot plant illuminated under sunlight, using in this case a real textile effluent. Decoloration of the effluent could be achieved after moderate irradiation and cotton dyed with this water presented similar characteristics as when deionized water was used.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Researcher 3 9%
Professor 3 9%
Student > Master 2 6%
Student > Bachelor 2 6%
Other 4 13%
Unknown 14 44%
Readers by discipline Count As %
Chemical Engineering 3 9%
Chemistry 3 9%
Engineering 3 9%
Environmental Science 2 6%
Materials Science 2 6%
Other 4 13%
Unknown 15 47%
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 20 June 2017.
All research outputs
#21,420,714
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#7,000
of 9,883 outputs
Outputs of similar age
#275,866
of 317,383 outputs
Outputs of similar age from Environmental Science and Pollution Research
#137
of 177 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 317,383 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.