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Bio-ethanol production from wet coffee processing waste in Ethiopia

Overview of attention for article published in SpringerPlus, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 1,850)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
138 Mendeley
Title
Bio-ethanol production from wet coffee processing waste in Ethiopia
Published in
SpringerPlus, November 2016
DOI 10.1186/s40064-016-3600-8
Pubmed ID
Authors

Asrat Gebremariam Woldesenbet, Belay Woldeyes, Bhagwan Singh Chandravanshi

Abstract

Large amounts of coffee residues are generated from coffee processing plants in Ethiopia. These residues are toxic and possess serious environmental problems following the direct discharge into the nearby water bodies which cause serious environmental and health problems. This study was aimed to quantify wet coffee processing waste and estimate its bio-ethanol production. The study showed that the wastes are potential environmental problems and cause water pollution due to high organic component and acidic nature. The waste was hydrolyzed by dilute H2SO4 (0.2, 0.4, 0.6, 0.8 and 1 M) and distilled water. Total sugar content of the sample was determined titrimetrically and refractometry. Maximum value (90%) was obtained from hydrolysis by 0.4 M H2SO4. Ethanol production was monitored by gas chromatography. The optimum yield of ethanol (78%) was obtained from the sample hydrolyzed by 0.4 M H2SO4 for 1 h at hydrolysis temperature of 100 °C and after fermentation for 24 h and initial pH of 4.5. Based on the data, it was concluded that reuse of the main coffee industry wastes is of significant importance from environmental and economical view points. In conclusion, this study has proposed to utilize the wet coffee processing waste to produce bio-ethanol which provides the alternative energy source from waste biomass and solves the environmental waste disposal as well as human health problem.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 <1%
Unknown 137 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 15%
Student > Bachelor 16 12%
Student > Ph. D. Student 14 10%
Student > Doctoral Student 9 7%
Professor 6 4%
Other 31 22%
Unknown 41 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 14%
Engineering 16 12%
Environmental Science 13 9%
Chemical Engineering 10 7%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 25 18%
Unknown 50 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 21 March 2018.
All research outputs
#879,330
of 22,901,818 outputs
Outputs from SpringerPlus
#35
of 1,850 outputs
Outputs of similar age
#18,154
of 311,565 outputs
Outputs of similar age from SpringerPlus
#3
of 113 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,850 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 98% 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 311,565 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.