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Optimization of Bioethanol Production Using Whole Plant of Water Hyacinth as Substrate in Simultaneous Saccharification and Fermentation Process

Overview of attention for article published in Frontiers in Microbiology, January 2016
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Title
Optimization of Bioethanol Production Using Whole Plant of Water Hyacinth as Substrate in Simultaneous Saccharification and Fermentation Process
Published in
Frontiers in Microbiology, January 2016
DOI 10.3389/fmicb.2015.01411
Pubmed ID
Authors

Qiuzhuo Zhang, Chen Weng, Huiqin Huang, Varenyam Achal, Duanchao Wang

Abstract

Water hyacinth was used as substrate for bioethanol production in the present study. Combination of acid pretreatment and enzymatic hydrolysis was the most effective process for sugar production that resulted in the production of 402.93 mg reducing sugar at optimal condition. A regression model was built to optimize the fermentation factors according to response surface method in saccharification and fermentation (SSF) process. The optimized condition for ethanol production by SSF process was fermented at 38.87°C in 81.87 h when inoculated with 6.11 ml yeast, where 1.291 g/L bioethanol was produced. Meanwhile, 1.289 g/L ethanol was produced during experimentation, which showed reliability of presented regression model in this research. The optimization method discussed in the present study leading to relatively high bioethanol production could provide a promising way for Alien Invasive Species with high cellulose content.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Thailand 1 <1%
Unknown 160 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 10%
Student > Ph. D. Student 15 9%
Researcher 13 8%
Student > Bachelor 10 6%
Lecturer 9 6%
Other 20 12%
Unknown 79 49%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 10%
Chemical Engineering 15 9%
Environmental Science 11 7%
Biochemistry, Genetics and Molecular Biology 8 5%
Engineering 7 4%
Other 19 12%
Unknown 85 52%
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 19 January 2016.
All research outputs
#17,780,575
of 22,837,982 outputs
Outputs from Frontiers in Microbiology
#17,198
of 24,826 outputs
Outputs of similar age
#267,571
of 393,723 outputs
Outputs of similar age from Frontiers in Microbiology
#318
of 462 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,826 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 22nd percentile – i.e., 22% 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 393,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 462 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.