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2013 (Vol. 5, Issue: 06)
Article Information:

Study the Optimal Condition of Fenpropathrin Degradation by Ochrobactrum Anthropi Based on Bacteria Microscopic Image Detection Method

Ning Yang, Rongbiao Zhang, Zixuan Xiang, Jianjiang Guo and Lei Zhang
Corresponding Author:  Rongbiao Zhang 

Key words:  Fenpropathrin-degrading bacterium, microscopic image processing, ochrobactrum anthropi, optimal degradation condition, support vector machine identification, ,
Vol. 5 , (06): 688-694
Submitted Accepted Published
January 07, 2013 March 07, 2013 June 05, 2013
Abstract:

In order to study fenpropathrin degrading more accurate than turbidimetry. We proposed Live Bacteria Detection method (LBD) based on high precision microscopic image processing and Support Vector Machine (SVM) identification to analyze the optimal condition of fenpropathrin degradation by Ochrobactrum anthropic. The optimal fenpropathrin degradation condition measured by LBD is pH 7.0 and 34C. On the other hand, the optimal condition measured by turbidimetry is pH 8.0 and 35C. The correlation coefficient of fenpropathrin concentration and Ochrobactrum anthropic concentration measured by both methods in this study indicate that Ochrobactrum anthropic concentration measured by LBD shows better decreasing linear relationship with fenpropathrin degradation concentration than turbidimetry.
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  Cite this Reference:
Ning Yang, Rongbiao Zhang, Zixuan Xiang, Jianjiang Guo and Lei Zhang, 2013. Study the Optimal Condition of Fenpropathrin Degradation by Ochrobactrum Anthropi Based on Bacteria Microscopic Image Detection Method.  Advance Journal of Food Science and Technology, 5(06): 688-694.
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ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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