文章基本信息

标题：Study the Optimal Condition of Fenpropathrin Degradation by Ochrobactrum Anthropi Based on Bacteria Microscopic Image Detection Method
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作者：Ning Yang ; Rongbiao Zhang ; Zixuan Xiang 等
期刊名称：Advance Journal of Food Science and Technology
印刷版ISSN：2042-4868
电子版ISSN：2042-4876
出版年度：2013
卷号：5
期号：06
页码：688-694
出版社：MAXWELL Science Publication
摘要：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 34°C. On the other hand, the optimal condition measured by turbidimetry is pH 8.0 and 35°C. 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.
关键词：Fenpropathrin-degrading bacterium; microscopic image processing; ochrobactrum anthropi; optimal degradation condition; support vector machine identification; ;