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Optimization of Alkaline and Dilute Acid Pretreatment of Agave Bagasse by Response Surface Methodology

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, September 2015
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Title
Optimization of Alkaline and Dilute Acid Pretreatment of Agave Bagasse by Response Surface Methodology
Published in
Frontiers in Bioengineering and Biotechnology, September 2015
DOI 10.3389/fbioe.2015.00146
Pubmed ID
Authors

Abimael I. Ávila-Lara, Jesus N. Camberos-Flores, Jorge A. Mendoza-Pérez, Sarah R. Messina-Fernández, Claudia E. Saldaña-Duran, Edgar I. Jimenez-Ruiz, Leticia M. Sánchez-Herrera, Jose A. Pérez-Pimienta

Abstract

Utilization of lignocellulosic materials for the production of value-added chemicals or biofuels generally requires a pretreatment process to overcome the recalcitrance of the plant biomass for further enzymatic hydrolysis and fermentation stages. Two of the most employed pretreatment processes are the ones that used dilute acid (DA) and alkaline (AL) catalyst providing specific effects on the physicochemical structure of the biomass, such as high xylan and lignin removal for DA and AL, respectively. Another important effect that need to be studied is the use of a high solids pretreatment (≥15%) since offers many advantaged over lower solids loadings, including increased sugar and ethanol concentrations (in combination with a high solids saccharification), which will be reflected in lower capital costs; however, this data is currently limited. In this study, several variables, such as catalyst loading, retention time, and solids loading, were studied using response surface methodology (RSM) based on a factorial central composite design of DA and AL pretreatment on agave bagasse using a range of solids from 3 to 30% (w/w) to obtain optimal process conditions for each pretreatment. Subsequently enzymatic hydrolysis was performed using Novozymes Cellic CTec2 and HTec2 presented as total reducing sugar (TRS) yield. Pretreated biomass was characterized by wet-chemistry techniques and selected samples were analyzed by calorimetric techniques, and scanning electron/confocal fluorescent microscopy. RSM was also used to optimize the pretreatment conditions for maximum TRS yield. The optimum conditions were determined for AL pretreatment: 1.87% NaOH concentration, 50.3 min and 13.1% solids loading, whereas DA pretreatment: 2.1% acid concentration, 33.8 min and 8.5% solids loading.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 <1%
Brazil 1 <1%
Unknown 112 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 30%
Student > Ph. D. Student 15 13%
Student > Bachelor 13 11%
Researcher 10 9%
Professor > Associate Professor 8 7%
Other 11 10%
Unknown 23 20%
Readers by discipline Count As %
Engineering 20 18%
Agricultural and Biological Sciences 17 15%
Chemical Engineering 14 12%
Environmental Science 13 11%
Biochemistry, Genetics and Molecular Biology 10 9%
Other 15 13%
Unknown 25 22%
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 23 September 2015.
All research outputs
#18,427,608
of 22,829,083 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,396
of 6,561 outputs
Outputs of similar age
#197,744
of 274,809 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#43
of 63 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,561 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 30th percentile – i.e., 30% 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 274,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 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.