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Optimization of the culture condition of Bacillus mucilaginous using Agaricus bisporus industrial wastewater by Plackett–Burman combined with Box–Behnken response surface method

Overview of attention for article published in AMB Express, August 2018
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Title
Optimization of the culture condition of Bacillus mucilaginous using Agaricus bisporus industrial wastewater by Plackett–Burman combined with Box–Behnken response surface method
Published in
AMB Express, August 2018
DOI 10.1186/s13568-018-0671-7
Pubmed ID
Authors

Jiafu Huang, Yixin Ou, Danfeng Zhang, Guoguang Zhang, Yutian Pan

Abstract

In the present study, conditions for Bacillus mucilaginous fermentation using Agaricus bisporus wastewater as culture medium were optimized. We analyzed the total number of living B. mucilaginous in the fermentation broth using multispectral imaging flow cytometry. Single-factor experiments were carried out, where a Plackett-Burman design was used to screen out three factors from the original six factors of processing wastewater solubility, initial pH, inoculum size, liquid volume, culture temperature, and rotation speed that affected the total number of viable B. mucilaginous. The Box-Behnken response surface method was used to optimize interactions between the three main factors and predict optimal fermentation conditions. Factors significantly affecting the total number of viable B. mucilaginous, including shaking speed, culturing temperature, and initial pH, were investigated. The optimum conditions for B. mucilaginous fermentation in A. bisporus wastewater were a rotational speed of 195 rpm, culture temperature of 29 °C, initial pH of 6.5, solubility of 0.5%, 8% inoculation volume, and 90 mL liquid volume in a 250 mL flask, culture time of 48 h. Under these conditions, the concentration of total viable bacteria reached 2.16 ± 0.02 × 108 Obj/mL, which meets the national standard. A. bisporus wastewater can be used for the cultivation of B. mucilaginous.

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Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 13%
Student > Master 4 13%
Student > Ph. D. Student 3 10%
Other 2 7%
Researcher 2 7%
Other 4 13%
Unknown 11 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 20%
Environmental Science 3 10%
Engineering 3 10%
Biochemistry, Genetics and Molecular Biology 3 10%
Chemical Engineering 2 7%
Other 3 10%
Unknown 10 33%
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 02 September 2018.
All research outputs
#20,532,290
of 23,102,082 outputs
Outputs from AMB Express
#976
of 1,245 outputs
Outputs of similar age
#292,036
of 335,278 outputs
Outputs of similar age from AMB Express
#32
of 53 outputs
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