Effects of Temperature, pH, Culture Time, Oscillation Frequency on Self-Healing Microbes and Growth Predictive Model

Author:

Meng Haining1,Lu Xiaojun2,Shaheen Asma3,Hussain Shahid4,Liu Guiwu4

Affiliation:

1. Jiangsu Zhenjiang Research Institute of Building Science Group Co., Ltd., Zhenjiang, 212013, China

2. Jiangsu Zhenjiang Research Institute of Building Science Group Co.,Ltd., Zhenjiang, 212013, China

3. Department of Earth Sciences, University of Sargodha, Sargodha, 40100,Pakistan

4. School of Materials Science and Engineering, Jiangsu University, Zhenjiang, 212013, China

Abstract

To save costs in preparation of Bacillus mucilaginous L3, we studied the effects of culture temperature, pH, culture time, oscillation frequency, and medium concentration on the biomass OD600 of B. mucilaginous L3 using orthogonal tests and back-propagation neural networks. The influence factors on OD600 ranked as importance as temperature > pH > culture time > medium concentration > oscillation frequency. The training precision of the growth predictive model based on back-propagation neural networks was up to 99.308%. The optimal prediction ranges of different factors were temperature: 28–30 °C, pH: 7.1–7.4, medium concentration: 2–4 and 7–8 g/L, culture time: 46–49 h, and oscillation frequency: 175–190 and 120–130 r/min.

Publisher

American Scientific Publishers

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

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