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Simulation of the ozone pretreatment of wheat straw

Overview of attention for article published in Bioresource Technology, July 2015
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Article details
Title
Simulation of the ozone pretreatment of wheat straw
Published in
Bioresource Technology, July 2015
DOI 10.1016/j.biortech.2015.07.022
Pubmed ID
Authors
Abstract

Wheat straw is a potential feedstock in biorefinery for sugar production. However, the cellulose, which is the major source of sugar, is protected by lignin. Ozonolysis deconstructs the lignin and makes cellulose accessible to enzymatic digestion. In this study, the change in lignin concentration with different ozonolysis times (0, 1, 2, 3, 5, 7, 10, 15, 20, 30, 60min) was fit to two different kinetic models: one using the model developed by Garcia-Cubero et al. (2012) and another including an outer mass transfer barrier or "cuticle" region where ozone mass transport is reduced in proportion to the mass of unreacted insoluble lignin in the cuticle. The kinetic parameters of two mathematical models for predicting the soluble and insoluble lignin at different pretreatment time were determined. The results showed that parameters derived from the cuticle-based model provided a better fit to experimental results compared to a model without a cuticle layer.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Spain 1 1%
Brazil 1 1%
Unknown 96 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 16%
Student > Master 13 13%
Student > Bachelor 11 11%
Researcher 11 11%
Student > Doctoral Student 8 8%
Other 10 10%
Unknown 29 30%
Readers by discipline
Readers by discipline Count As %
Engineering 15 15%
Agricultural and Biological Sciences 14 14%
Environmental Science 10 10%
Chemistry 7 7%
Chemical Engineering 6 6%
Other 13 13%
Unknown 33 34%
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 02 August 2015.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Bioresource Technology
#6,780
of 8,264 outputs
Outputs of similar age
#235,884
of 276,302 outputs
Outputs of similar age from Bioresource Technology
#88
of 124 outputs
Altmetric has tracked 25,374,917 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 8,264 research outputs from this source. They receive a mean Attention Score of 3.6. 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 276,302 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 124 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.