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Optimization of Milk-Based Medium for Efficient Cultivation of Bifidobacterium pseudocatenulatum G4 Using Face-Centered Central Composite-Response Surface Methodology

Overview of attention for article published in BioMed Research International
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Title
Optimization of Milk-Based Medium for Efficient Cultivation of <i>Bifidobacterium pseudocatenulatum</i> G4 Using Face-Centered Central Composite-Response Surface Methodology
Published in
BioMed Research International
DOI 10.1155/2014/787989
Pubmed ID
Authors

Abdul Khalil, Khalilah

Abstract

This study was undertaken to optimize skim milk and yeast extract concentration as a cultivation medium for optimal Bifidobacteria pseudocatenulatum G4 (G4) biomass and β -galactosidase production as well as lactose and free amino nitrogen (FAN) balance after cultivation period. Optimization process in this study involved four steps: screening for significant factors using 2(3) full factorial design, steepest ascent, optimization using FCCD-RSM, and verification. From screening steps, skim milk and yeast extract showed significant influence on the biomass production and, based on the steepest ascent step, middle points of skim milk (6% wt/vol) and yeast extract (1.89% wt/vol) were obtained. A polynomial regression model in FCCD-RSM revealed that both factors were found significant and the strongest influence was given by skim milk concentration. Optimum concentrations of skim milk and yeast extract for maximum biomass G4 and β -galactosidase production meanwhile low in lactose and FAN balance after cultivation period were 5.89% (wt/vol) and 2.31% (wt/vol), respectively. The validation experiments showed that the predicted and experimental values are not significantly different, indicating that the FCCD-RSM model developed is sufficient to describe the cultivation process of G4 using skim-milk-based medium with the addition of yeast extract.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 4%
Japan 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 22%
Student > Master 5 19%
Professor > Associate Professor 4 15%
Student > Bachelor 4 15%
Researcher 3 11%
Other 5 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 33%
Unspecified 5 19%
Engineering 4 15%
Biochemistry, Genetics and Molecular Biology 4 15%
Environmental Science 3 11%
Other 2 7%

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 21 January 2014.
All research outputs
#10,374,680
of 13,005,811 outputs
Outputs from BioMed Research International
#3,326
of 5,675 outputs
Outputs of similar age
#162,236
of 240,244 outputs
Outputs of similar age from BioMed Research International
#389
of 577 outputs
Altmetric has tracked 13,005,811 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,675 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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We're also able to compare this research output to 577 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.