运用田口设计法对从马来西亚丁加奴海滩焦油球中分离出的 、 、 和 的混合菌群用于柴油生物降解的过程进行优化。
Use of Taguchi design for optimization of diesel-oil biodegradation using consortium of , , and isolated from tarball in Terengganu Beach, Malaysia.
作者信息
Nkem Bruno Martins, Halimoon Normala, Yusoff Fatimah Md, Johari Wan Lutfi Wan
机构信息
Department of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan Malaysia.
International Institute of Aquaculture and Aquatic Sciences, Department of Aquaculture, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan Malaysia.
出版信息
J Environ Health Sci Eng. 2022 Jul 19;20(2):729-747. doi: 10.1007/s40201-022-00812-3. eCollection 2022 Dec.
UNLABELLED
A consortium of bacteria capable of decomposing oily hydrocarbons was isolated from tarballs on the beaches of Terengganu, Malaysia, and classified as , , and . The Taguchi design was used to optimize the biodegradation of diesel using these bacteria as a consortium. The highest biodegradation of diesel-oil in the experimental tests was 93.6%, and the individual n-alkanes decomposed 87.6-97.6% over 30 days. Optimal settings were inoculum size of 2.5 mL (1.248 OD); 12% (v/v) the initial diesel-oil in a minimal salt medium of pH 7.0, 30.0 gL NaCl and 2.0 gL NHNO concentration, incubated at 42 °C temperature and 150 rpm agitation speed. Parameters significantly improved diesel-oil removal by consortium as shown by the model determination coefficient (R = 90.89%; < 0.001) with a synergistic effect of agitation speed significantly contributing 81.03%. Taguchi design determined the optimal settings for the parameters under study, which significantly improved diesel-oil removal by consortium. This can be used to design a novel bioremediation strategy that can achieve optimal decontamination of oil pollution in a shorter time.
SUPPLEMENTARY INFORMATION
The online version contains supplementary material available at 10.1007/s40201-022-00812-3.
未标记
从马来西亚丁加奴海滩的焦油球中分离出一组能够分解油性碳氢化合物的细菌，并将其分类为 、 、 和 。采用田口设计法，以这些细菌作为混合菌群来优化柴油的生物降解。实验测试中柴油的最高生物降解率为93.6%，在30天内，单个正构烷烃的分解率为87.6 - 97.6%。最佳设置为接种量2.5 mL（1.248 OD）；在pH值为7.0、NaCl浓度为30.0 g/L和NH₄NO₃浓度为2.0 g/L的最低盐培养基中，初始柴油含量为12%（v/v），在42℃温度和150 rpm搅拌速度下培养。模型决定系数（R = 90.89%； ＜0.001）表明，这些参数显著提高了混合菌群对柴油的去除率，其中搅拌速度的协同作用显著贡献了81.03%。田口设计法确定了所研究参数的最佳设置，显著提高了混合菌群对柴油的去除率。这可用于设计一种新型生物修复策略，能在更短时间内实现油污的最佳去污效果。
补充信息
在线版本包含可在10.1007/s40201-022-00812-3获取的补充材料。
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