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Optimized Production of Xylitol from Xylose Using a Hyper-Acidophilic Candida tropicalis

Overview of attention for article published in Biomolecules, January 2015
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2 tweeters

Citations

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Readers on

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82 Mendeley
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Title
Optimized Production of Xylitol from Xylose Using a Hyper-Acidophilic Candida tropicalis
Published in
Biomolecules, January 2015
DOI 10.3390/biom5031979
Pubmed ID
Authors

Elena Tamburini

Abstract

The yeast Candida tropicalis DSM 7524 produces xylitol, a natural, low-calorie sweetener, by fermentation of xylose. In order to increase xylitol production rate during the submerged fermentation process, some parameters-substrate (xylose) concentration, pH, aeration rate, temperature and fermentation strategy-have been optimized. The maximum xylitol yield reached at 60-80 g/L initial xylose concentration, pH 5.5 at 37 °C was 83.66% (w/w) on consumed xylose in microaerophilic conditions (kLa = 2·h(-1)). Scaling up on 3 L fermenter, with a fed-batch strategy, the best xylitol yield was 86.84% (w/w), against a 90% of theoretical yield. The hyper-acidophilic behaviour of C. tropicalis makes this strain particularly promising for industrial application, due to the possibility to work in non-sterile conditions.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 26%
Student > Ph. D. Student 17 21%
Student > Master 12 15%
Researcher 7 9%
Student > Doctoral Student 6 7%
Other 4 5%
Unknown 15 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 23%
Biochemistry, Genetics and Molecular Biology 17 21%
Engineering 9 11%
Chemical Engineering 8 10%
Chemistry 6 7%
Other 6 7%
Unknown 17 21%

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 22 August 2015.
All research outputs
#3,937,944
of 5,570,954 outputs
Outputs from Biomolecules
#81
of 153 outputs
Outputs of similar age
#132,748
of 192,464 outputs
Outputs of similar age from Biomolecules
#16
of 31 outputs
Altmetric has tracked 5,570,954 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 153 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% 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 192,464 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.