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Pretreatment optimization of the biomass of Microcystis aeruginosa for efficient bioethanol production

Overview of attention for article published in AMB Express, January 2017
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  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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107 Mendeley
Title
Pretreatment optimization of the biomass of Microcystis aeruginosa for efficient bioethanol production
Published in
AMB Express, January 2017
DOI 10.1186/s13568-016-0320-y
Pubmed ID
Authors

Muhammad Imran Khan, Moon Geon Lee, Jin Hyuk Shin, Jong Deog Kim

Abstract

Microalgae are considered to be the future promising sources of biofuels and bio products. The algal carbohydrates can be fermented to bioethanol after pretreatment process. Efficient pretreatment of the biomass is one of the major requirements for commercialization of the algal based biofuels. In present study the microalga, M. aeruginsa was used for pretreatment optimization and bioethanol production. Treatment of algal biomass with CaO before acid and/or enzymatic hydrolysis enhanced the degradation of algal cells. Monomeric sugars yield was increased more than twice when biomass was pretreated with CaO. Similarly, an increase was noted in the amount of fermentable sugars when biomass was subjected to invertase saccharification after acid or lysozyme pretreatment. Highest yield of fermentable sugars (16 mM/ml) in the centrifuged algal juice was obtained. 4 Different microorganisms' species were used individually and in combination for converting centrifuged algal juice to bioethanol. Comparatively higher yield of bioethanol (60 mM/ml) was obtained when the fermenter microorganisms were used in combination. The results demonstrated that M. arginase biomass can be efficiently pretreated to get higher yield of fermentable sugars for enhanced yield of bioethanol production.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 20%
Student > Ph. D. Student 18 17%
Student > Master 14 13%
Researcher 10 9%
Other 5 5%
Other 17 16%
Unknown 22 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 17%
Chemical Engineering 14 13%
Environmental Science 12 11%
Engineering 10 9%
Biochemistry, Genetics and Molecular Biology 8 7%
Other 20 19%
Unknown 25 23%
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 10 February 2017.
All research outputs
#13,511,114
of 22,931,367 outputs
Outputs from AMB Express
#262
of 1,236 outputs
Outputs of similar age
#212,074
of 420,788 outputs
Outputs of similar age from AMB Express
#12
of 45 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,236 research outputs from this source. They receive a mean Attention Score of 2.8. 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 420,788 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 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 71% of its contemporaries.