↓ Skip to main content

Predicting Cu and Zn sorption capacity of biochar from feedstock C/N ratio and pyrolysis temperature

Overview of attention for article published in Environmental Science and Pollution Research, December 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
73 Mendeley
Title
Predicting Cu and Zn sorption capacity of biochar from feedstock C/N ratio and pyrolysis temperature
Published in
Environmental Science and Pollution Research, December 2017
DOI 10.1007/s11356-017-1047-2
Pubmed ID
Authors

Alfonso Rodríguez-Vila, Heather Selwyn-Smith, Laurretta Enunwa, Isla Smail, Emma F. Covelo, Tom Sizmur

Abstract

Biochars have been proposed for remediation of metal-contaminated water due to their low cost, high surface area and high sorption capacity for metals. However, there is a lack of understanding over how feedstock material and pyrolysis conditions contribute to the metal sorption capacity of biochar. We produced biochars from 10 different organic materials by pyrolysing at 450 °C and a further 10 biochars from cedar wood by pyrolysing at 50 °C intervals (250-700 °C). Batch sorption experiments were conducted to derive the maximum Cu and Zn sorption capacity of each biochar. The results revealed an exponential relationship between Cu and Zn sorption capacity and the feedstock C/N ratio and a sigmoidal relationship between the pyrolysis temperature and the maximum Cu and Zn sorption capacity. FTIR analysis revealed that as temperature increased, the abundance of functional groups reduced. We conclude that the high sorption capacity of high temperature biochars is due to an electrostatic attraction between positively charged Cu and Zn ions and delocalised pi-electrons on the greater surface area of these biochars. These findings demonstrate a method for predicting the maximum sorption capacity of a biochar based on the feedstock C/N ratio and the pyrolysis temperature.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Researcher 8 11%
Student > Bachelor 6 8%
Student > Master 6 8%
Professor > Associate Professor 5 7%
Other 12 16%
Unknown 24 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 14%
Environmental Science 8 11%
Engineering 8 11%
Chemistry 7 10%
Materials Science 2 3%
Other 5 7%
Unknown 33 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 January 2018.
All research outputs
#15,751,080
of 24,943,708 outputs
Outputs from Environmental Science and Pollution Research
#3,508
of 10,618 outputs
Outputs of similar age
#252,942
of 453,894 outputs
Outputs of similar age from Environmental Science and Pollution Research
#97
of 238 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,618 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 64% 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 453,894 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 238 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.