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Optimization of alkaline pretreatment and enzymatic hydrolysis for the extraction of xylooligosaccharide from rice husk

Overview of attention for article published in AMB Express, July 2018
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Title
Optimization of alkaline pretreatment and enzymatic hydrolysis for the extraction of xylooligosaccharide from rice husk
Published in
AMB Express, July 2018
DOI 10.1186/s13568-018-0645-9
Pubmed ID
Authors

Nuntawat Khat-udomkiri, Bhagavathi Sundaram Sivamaruthi, Sasithorn Sirilun, Narissara Lailerd, Sartjin Peerajan, Chaiyavat Chaiyasut

Abstract

Rice husk (RH) is the major agricultural waste obtained during rice hulling process, which can be a sustainable source of xylooligosaccharide (XOS). The current study deals with the production of XOS from Thai rice husk using alkaline pretreatment and enzyme hydrolysis method. The response surface methodology consisted of central composite design and Box-Behnken design was employed to achieve the maximum response in alkaline pretreatment and XOS production, respectively. The optimum conditions for alkaline pretreatment to recover maximum xylan yield were 12-18% of alkaline concentration, the temperature at 110-120 °C, and steaming time for 37.5-40 min. The FTIR results suggested that the extracted sample was the xylan fraction. The maximum XOS production of 17.35 ± 0.31 mg XOS per mL xylan was observed in the run conditions of 6.25 mg enzyme per g xylan, 9 h of incubation time, and 5% of xylan. The results revealed that the xylan extracted from RH by using an effective base couple with the steam application and the enzymatic hydrolysis help to maximize the yield of XOS, which can be further used in functional foods and dietary supplements.

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

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 13%
Student > Master 12 11%
Student > Bachelor 12 11%
Researcher 9 8%
Student > Doctoral Student 6 6%
Other 12 11%
Unknown 41 39%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 18%
Engineering 10 9%
Chemical Engineering 8 8%
Biochemistry, Genetics and Molecular Biology 5 5%
Chemistry 4 4%
Other 12 11%
Unknown 48 45%
Attention Score in Context

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 18 July 2018.
All research outputs
#20,527,576
of 23,096,849 outputs
Outputs from AMB Express
#976
of 1,245 outputs
Outputs of similar age
#286,047
of 326,757 outputs
Outputs of similar age from AMB Express
#31
of 51 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,245 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% 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 326,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.