{"title":"响应面法优化肺炎克雷伯菌和铜绿假单胞菌对多环芳烃的降解","authors":"Tao Chen, Bo Fu, Haiyan Li","doi":"10.1080/09593330.2023.2283813","DOIUrl":null,"url":null,"abstract":"<p><p>Response Surface Methodology (RSM) with Box-Behnken Design (BBD) is used to optimise the Phenanthrene (PHE) degradation process by <i>Klebsiella pneumoniae</i> (K bacteria) and <i>Pseudomonas aeruginosa</i> (P bacteria). Wherein substrate concentration, temperature, and pH at three levels are used as independent variables, and degradation rate of PHE as dependent variables (response). The statistical analysis, via ANOVA, shows coefficient of determination R<sup>2</sup> as 0.9848 with significant <i>P</i> value 0.0001 fitting in second-order quadratic regression model for PAHs removal by <i>Klebsiella pneumonia</i>, and <i>R</i><sup>2</sup> as 0.9847 with significant <i>P</i> value 0.0001 by P bacteria. According to the model analysis, temperature (<i>P</i> < 0.0006) is the most influential factor for PHE degradation efficiency by <i>K bacteria</i>, while pH (<i>P </i>< 0.0001) is the most influential factor for PHE degradation by P bacteria. The predicted optimum parameters for <i>K bacteria</i>, namely, temperature, substrate concentration, and pH are found to be 34.00℃, 50.80 mg/L, and 7.50, respectively, and those for <i>P bacteria</i> are 33.30℃, 52.70 mg/L, and 7.20, respectively. At these optimum conditions, the observed PHE removal rates by two bacteria are found to be 83.36% ± 2.1% and 81.23% ± 1.6% in validation experiments, respectively. Thus RSM can optimise the biodegradation conditions of both bacteria for PHE.</p>","PeriodicalId":12009,"journal":{"name":"Environmental Technology","volume":" ","pages":"5204-5217"},"PeriodicalIF":2.2000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimisation of PAHs biodegradation by <i>Klebsiella pneumonia</i> and <i>Pseudomonas aeruginosa</i> through response surface methodology.\",\"authors\":\"Tao Chen, Bo Fu, Haiyan Li\",\"doi\":\"10.1080/09593330.2023.2283813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Response Surface Methodology (RSM) with Box-Behnken Design (BBD) is used to optimise the Phenanthrene (PHE) degradation process by <i>Klebsiella pneumoniae</i> (K bacteria) and <i>Pseudomonas aeruginosa</i> (P bacteria). Wherein substrate concentration, temperature, and pH at three levels are used as independent variables, and degradation rate of PHE as dependent variables (response). The statistical analysis, via ANOVA, shows coefficient of determination R<sup>2</sup> as 0.9848 with significant <i>P</i> value 0.0001 fitting in second-order quadratic regression model for PAHs removal by <i>Klebsiella pneumonia</i>, and <i>R</i><sup>2</sup> as 0.9847 with significant <i>P</i> value 0.0001 by P bacteria. According to the model analysis, temperature (<i>P</i> < 0.0006) is the most influential factor for PHE degradation efficiency by <i>K bacteria</i>, while pH (<i>P </i>< 0.0001) is the most influential factor for PHE degradation by P bacteria. The predicted optimum parameters for <i>K bacteria</i>, namely, temperature, substrate concentration, and pH are found to be 34.00℃, 50.80 mg/L, and 7.50, respectively, and those for <i>P bacteria</i> are 33.30℃, 52.70 mg/L, and 7.20, respectively. At these optimum conditions, the observed PHE removal rates by two bacteria are found to be 83.36% ± 2.1% and 81.23% ± 1.6% in validation experiments, respectively. Thus RSM can optimise the biodegradation conditions of both bacteria for PHE.</p>\",\"PeriodicalId\":12009,\"journal\":{\"name\":\"Environmental Technology\",\"volume\":\" \",\"pages\":\"5204-5217\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Technology\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1080/09593330.2023.2283813\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/12/29 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Technology","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/09593330.2023.2283813","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/12/29 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Optimisation of PAHs biodegradation by Klebsiella pneumonia and Pseudomonas aeruginosa through response surface methodology.
Response Surface Methodology (RSM) with Box-Behnken Design (BBD) is used to optimise the Phenanthrene (PHE) degradation process by Klebsiella pneumoniae (K bacteria) and Pseudomonas aeruginosa (P bacteria). Wherein substrate concentration, temperature, and pH at three levels are used as independent variables, and degradation rate of PHE as dependent variables (response). The statistical analysis, via ANOVA, shows coefficient of determination R2 as 0.9848 with significant P value 0.0001 fitting in second-order quadratic regression model for PAHs removal by Klebsiella pneumonia, and R2 as 0.9847 with significant P value 0.0001 by P bacteria. According to the model analysis, temperature (P < 0.0006) is the most influential factor for PHE degradation efficiency by K bacteria, while pH (P < 0.0001) is the most influential factor for PHE degradation by P bacteria. The predicted optimum parameters for K bacteria, namely, temperature, substrate concentration, and pH are found to be 34.00℃, 50.80 mg/L, and 7.50, respectively, and those for P bacteria are 33.30℃, 52.70 mg/L, and 7.20, respectively. At these optimum conditions, the observed PHE removal rates by two bacteria are found to be 83.36% ± 2.1% and 81.23% ± 1.6% in validation experiments, respectively. Thus RSM can optimise the biodegradation conditions of both bacteria for PHE.
期刊介绍:
Environmental Technology is a leading journal for the rapid publication of science and technology papers on a wide range of topics in applied environmental studies, from environmental engineering to environmental biotechnology, the circular economy, municipal and industrial wastewater management, drinking-water treatment, air- and water-pollution control, solid-waste management, industrial hygiene and associated technologies.
Environmental Technology is intended to provide rapid publication of new developments in environmental technology. The journal has an international readership with a broad scientific base. Contributions will be accepted from scientists and engineers in industry, government and universities. Accepted manuscripts are generally published within four months.
Please note that Environmental Technology does not publish any review papers unless for a specified special issue which is decided by the Editor. Please do submit your review papers to our sister journal Environmental Technology Reviews at http://www.tandfonline.com/toc/tetr20/current