↓ Skip to main content

Production of mixed fruit (pawpaw, banana and watermelon) wine using Saccharomyces cerevisiae isolated from palm wine

Overview of attention for article published in SpringerPlus, November 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
1 X user
wikipedia
4 Wikipedia pages

Readers on

mendeley
156 Mendeley
Title
Production of mixed fruit (pawpaw, banana and watermelon) wine using Saccharomyces cerevisiae isolated from palm wine
Published in
SpringerPlus, November 2015
DOI 10.1186/s40064-015-1475-8
Pubmed ID
Authors

Alloysius Chibuike Ogodo, Ositadinma Chinyere Ugbogu, Amadike Eziuche Ugbogu, Chukwuma Stephen Ezeonu

Abstract

Pawpaw, banana and watermelon are tropical fruits with short shelf-lives under the prevailing temperatures and humid conditions in tropical countries like Nigeria. Production of wine from these fruits could help reduce the level of post-harvest loss and increase variety of wines. Pawpaw, banana and watermelon were used to produce mixed fruit wines using Saccharomyces cerevisiae isolated from palm wine. Exactly 609 and 406 g each of the fruits in two-mixed and three-mixed fruit fermentation respectively were crushed using laboratory blender, mixed with distilled water (1:1 w/v), and heated for 30 min with subsequent addition of sugar (0.656 kg). The fruit musts were subjected to primary (aerobic) and secondary (anaerobic) fermentation for 4 and 21 days respectively. During fermentation, aliquots were removed from the fermentation tank for analysis. During primary fermentation, consistent increases in alcohol contents (ranging from 0.0 to 15.0 %) and total acidities (ranging from 0.20 to 0.80 %) were observed with gradual decrease in specific gravities (ranging from 1.060 to 0.9800) and pH (ranging from 4.80 to 2.90). Temperature ranged from 27 °C to 29 °C. The alcoholic content of the final wines were 17.50 ± 0.02 % (pawpaw and watermelon), 16.00 ± 0.02 % (pawpaw and banana), 18.50 ± 0.02 % (banana and watermelon wine) and 18.00 ± 0.02 % (pawpaw, banana and watermelon). The alcoholic content of the wines did not differ significantly (p > 0.05). The pH of all the wines were acidic and ranged from 2.5 ± 0.01 to 3.8 ± 0.01 (p > 0.05). The acid concentration (residual and volatile acidity) were within the acceptable limit and ranged from 0.35 ± 0.02 to 0.88 ± 0.01 % (p > 0.05). Sensory evaluation (P > 0.05) rated the wines acceptability as 'pawpaw and banana wine' > 'pawpaw and watermelon' > 'pawpaw, watermelon and banana' > 'banana and watermelon wine'. This study has shown that acceptable mixed fruit wines could be produced from the fruits with S. cerevisiae from palm wine.

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 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Unknown 155 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 31 20%
Student > Master 28 18%
Researcher 12 8%
Student > Postgraduate 7 4%
Student > Ph. D. Student 7 4%
Other 21 13%
Unknown 50 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 26%
Biochemistry, Genetics and Molecular Biology 16 10%
Engineering 10 6%
Immunology and Microbiology 8 5%
Chemical Engineering 6 4%
Other 17 11%
Unknown 59 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 September 2023.
All research outputs
#6,840,618
of 23,917,076 outputs
Outputs from SpringerPlus
#409
of 1,856 outputs
Outputs of similar age
#83,559
of 288,639 outputs
Outputs of similar age from SpringerPlus
#29
of 122 outputs
Altmetric has tracked 23,917,076 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,856 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 76% 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 288,639 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.