{"title":"Optimization of Nutrition Condition for Biodegradation of Diesel Oil Using Response Surface Methodology","authors":"Jincheng Li, Wenxiang Xia, Cheng-Yang Tang, Zhenxia Wang, X. Xiao, Hui Zhong, Jiuzhou Zhao","doi":"10.1109/ICBBE.2010.5516461","DOIUrl":null,"url":null,"abstract":"Adding nutrient can accelerate diesel oil biodegradation in seawater. Response surface methodology (RSM) was employed to optimize the condition for increasing diesel oil degradation. Using a Plackett-Burman experimental design to aid in the first step of optimization, and nitrogen, phosphorus and pH were found to be significant factors affecting degradation process. To determine the optimal range of each significant variable, a central composite design was employed. Based on response surface and canonical analysis, the optimum concentrations of the nutrients were obtained as follows: nitrogen (NaNO3)0.143g, phosphorus (KH2PO4)0.022g, and the optimal pH was 7.4.","PeriodicalId":6396,"journal":{"name":"2010 4th International Conference on Bioinformatics and Biomedical Engineering","volume":"329 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 4th International Conference on Bioinformatics and Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBBE.2010.5516461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Adding nutrient can accelerate diesel oil biodegradation in seawater. Response surface methodology (RSM) was employed to optimize the condition for increasing diesel oil degradation. Using a Plackett-Burman experimental design to aid in the first step of optimization, and nitrogen, phosphorus and pH were found to be significant factors affecting degradation process. To determine the optimal range of each significant variable, a central composite design was employed. Based on response surface and canonical analysis, the optimum concentrations of the nutrients were obtained as follows: nitrogen (NaNO3)0.143g, phosphorus (KH2PO4)0.022g, and the optimal pH was 7.4.
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