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使用响应面法作为一种统计工具来优化南极土壤细菌对废菜籽油和纯菜籽油的生物降解

The Use of Response Surface Methodology as a Statistical Tool for the Optimisation of Waste and Pure Canola Oil Biodegradation by Antarctic Soil Bacteria.

作者信息

Zahri Khadijah Nabilah Mohd, Zulkharnain Azham, Gomez-Fuentes Claudio, Sabri Suriana, Abdul Khalil Khalilah, Convey Peter, Ahmad Siti Aqlima

机构信息

Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.

Department of Bioscience and Engineering, Shibaura Institute of Technology, College of Systems Engineering and Science, 307 Fukasaku, Minuma-ku, Saitama 337-8570, Japan.

出版信息

Life (Basel). 2021 May 20;11(5):456. doi: 10.3390/life11050456.

Abstract

Hydrocarbons can cause pollution to Antarctic terrestrial and aquatic ecosystems, both through accidental release and the discharge of waste cooking oil in grey water. Such pollutants can persist for long periods in cold environments. The native microbial community may play a role in their biodegradation. In this study, using mixed native Antarctic bacterial communities, several environmental factors influencing biodegradation of waste canola oil (WCO) and pure canola oil (PCO) were optimised using established one-factor-at-a-time (OFAT) and response surface methodology (RSM) approaches. The factors include salinity, pH, type of nitrogen and concentration, temperature, yeast extract and initial substrate concentration in OFAT and only the significant factors proceeded for the statistical optimisation through RSM. High concentration of substrate targeted for degradation activity through RSM compared to OFAT method. As for the result, all factors were significant in PBD, while only 4 factors were significant in biodegradation of PCO (pH, nitrogen concentration, yeast extract and initial substrate concentration). Using OFAT, the most effective microbial community examined was able to degrade 94.42% and 86.83% (from an initial concentration of 0.5% (/)) of WCO and PCO, respectively, within 7 days. Using RSM, 94.99% and 79.77% degradation of WCO and PCO was achieved in 6 days. The significant interaction for the RSM in biodegradation activity between temperature and WCO concentration in WCO media were exhibited. Meanwhile, in biodegradation of PCO the significant factors were between (1) pH and PCO concentration, (2) nitrogen concentration and yeast extract, (3) nitrogen concentration and PCO concentration. The models for the RSM were validated for both WCO and PCO media and it showed no significant difference between experimental and predicted values. The efficiency of canola oil biodegradation achieved in this study provides support for the development of practical strategies for efficient bioremediation in the Antarctic environment.

摘要

碳氢化合物会对南极陆地和水生生态系统造成污染,这既源于意外泄漏,也源于灰水中废食用油的排放。这类污染物在寒冷环境中可能长期存在。当地的微生物群落可能在其生物降解过程中发挥作用。在本研究中,利用混合的南极本地细菌群落,采用已确立的一次单因素(OFAT)和响应面方法(RSM),对影响废菜籽油(WCO)和纯菜籽油(PCO)生物降解的几个环境因素进行了优化。在OFAT中,这些因素包括盐度、pH值、氮的类型和浓度、温度、酵母提取物以及初始底物浓度,而只有显著因素通过RSM进行统计优化。与OFAT方法相比,通过RSM确定的用于降解活性的底物浓度更高。结果表明,所有因素在WCO的生物降解中均具有显著性,而在PCO的生物降解中只有4个因素具有显著性(pH值、氮浓度、酵母提取物和初始底物浓度)。采用OFAT时,所检测的最有效的微生物群落能够在7天内分别降解94.42%和86.83%(初始浓度为0.5%(/))的WCO和PCO。采用RSM时,在6天内实现了WCO和PCO分别94.99%和79.77%的降解。在WCO培养基中,温度和WCO浓度之间在生物降解活性方面表现出RSM的显著相互作用。同时,在PCO的生物降解中,显著因素存在于(1)pH值和PCO浓度之间,(2)氮浓度和酵母提取物之间,(3)氮浓度和PCO浓度之间。RSM模型在WCO和PCO培养基中均得到验证,实验值和预测值之间无显著差异。本研究中实现的菜籽油生物降解效率为在南极环境中开发高效生物修复的实际策略提供了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c7/8161070/5f46ebd900b5/life-11-00456-g001.jpg

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