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Attention Score in Context
| Title |
Confined Flocculation of Ionic Pollutants by Poly(l‑dopa)-Based Polyelectrolyte Complexes in Hydrogel Beads for Three-Dimensional, Quantitative, Efficient Water Decontamination
|
|---|---|
| Published in |
Langmuir, June 2015
|
| DOI | 10.1021/acs.langmuir.5b01084 |
| Pubmed ID | |
| Authors |
Li Yu, Xiaokong Liu, Weichang Yuan, Lauren Joan Brown, Dayang Wang |
| Abstract |
The development of simple and recyclable adsorbents with high adsorption capacity is a technical imperative for water treatment. In this work, we have successfully developed new adsorbents for the removal of ionic pollutants from water via encapsulation of polyelectrolyte complexes (PECs) made from positively charged poly(allylamine hydrochloride) (PAH) and negatively charged poly (L-3,4-dihydroxyphenylalanine) (PDopa), obtained via the self-polymerization of L-3,4-dihydroxyphenylalanine (L-Dopa). Given the outstanding mass transport through the hydrogel host matrices, the PDopa-PAH PEC guests loaded inside can effectively and efficiently remove various ionic pollutants, including heavy metal ions and ionic organic dyes, from water. The adsorption efficiency of the PDopa-PAH PECs can be quantitatively correlated to and tailored by the PDopa-to-PAH molar ratio. Since PDopa embodies one catechol group, one carboxyl group and one amino group in each repeating unit, the resulting PDopa-PAH PECs exhibit the largest capacity of adsorption of heavy metal ions compared to available adsorbents. Since both PDopa and PAH are pH sensitive, the PDopa-PAH PEC-loaded agarose hydrogel beads can be easily and completely recovered after the adsorption of ionic pollutants by adjusting the pH of surrounding media. The present strategy is similar to the conventional process of using PECs to flocculate ionic pollutants from water, while in our system flocculation is confined in the agarose hydrogel beads, thus allowing easy separation of the resulting adsorbents from water. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 1% |
| Unknown | 67 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Student > Master | 8 | 12% |
| Student > Bachelor | 7 | 10% |
| Researcher | 7 | 10% |
| Student > Doctoral Student | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 21 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 20 | 29% |
| Materials Science | 9 | 13% |
| Engineering | 6 | 9% |
| Chemical Engineering | 5 | 7% |
| Environmental Science | 3 | 4% |
| Other | 4 | 6% |
| Unknown | 21 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 October 2022.
All research outputs
#6,666,779
of 23,555,482 outputs
Outputs from Langmuir
#3,194
of 14,293 outputs
Outputs of similar age
#77,731
of 269,001 outputs
Outputs of similar age from Langmuir
#24
of 110 outputs
Altmetric has tracked 23,555,482 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 14,293 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 77% of its peers.
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 269,001 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 70% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.