Suppr超能文献

嗜乙酰栖热菌和海黄芽孢杆菌在碱性条件下对硫氰酸盐和游离氰化物的共代谢作用

Co-metabolism of thiocyanate and free cyanide by Exiguobacterium acetylicum and Bacillus marisflavi under alkaline conditions.

作者信息

Mekuto Lukhanyo, Alegbeleye Oluwadara Oluwaseun, Ntwampe Seteno Karabo Obed, Ngongang Maxwell Mewa, Mudumbi John Baptist, Akinpelu Enoch A

机构信息

Bioresource Engineering Research Group, Department of Biotechnology, Cape Peninsula University of Technology, PO Box 652, Cape Town, 8000, South Africa.

Department of Microbiology, Agricultural Research Council, Private Bag X5026, Stellenbosch, 7599, South Africa.

出版信息

3 Biotech. 2016 Dec;6(2):173. doi: 10.1007/s13205-016-0491-x. Epub 2016 Aug 18.

Abstract

The continuous discharge of cyanide-containing effluents to the environment has necessitated for the development of environmentally benign treatment processes that would result in complete detoxification of the cyanide-containing wastewaters, without producing additional environmental toxicants. Since biological detoxification of hazardous chemical compounds has been renowned for its robustness and environmental-friendliness, the ability of the Exiguobacterium acetylicum (GenBank accession number KT282229) and Bacillus marisflavi (GenBank accession number KR016603) to co-metabolise thiocyanate (SCN) and free cyanide (CN) under alkaline conditions was evaluated. E. acetylicum had an SCN degradation efficiency of 99.9 % from an initial SCN concentration of 150 mg SCN/L, but the organism was unable to degrade CN. Consequently, B. marisflavi had a CN degradation efficiency of 99 % from an initial concentration of 200 mg CN/L. Similarly, the organism was unable to degrade SCN; hence, this resulted in the evaluation of co-metabolism of SCN and CN by the two microbial species. Optimisation of operational conditions was evaluated using response surface methodology (RSM). A numeric optimisation technique was used to evaluate the optimisation of the input variables i.e. pH, temperature, SCN and CN concentrations. The optimum conditions were found to be as follows: pH 9.0, temperature 34 °C, 140 mg SCN/L and 205 mg CN/L under which complete SCN and CN degradation would be achieved over a 168-h period. Using the optimised data, co-metabolism of SCN and CN by both E. acetylicum and B. marisflavi was evaluated, achieving a combined degradation efficiency of ≥99.9 %. The high degradative capacity of these organisms has resulted in their supplementation on an active continuous biological degradation system that is treating both SCN and CN.

摘要

含氰废水持续排放到环境中,因此有必要开发环境友好型处理工艺,以实现含氰废水的完全解毒,同时不产生额外的环境毒物。由于生物解毒有害化合物以其稳健性和环境友好性而闻名,因此评估了乙酰微小杆菌(GenBank登录号KT282229)和海黄芽孢杆菌(GenBank登录号KR016603)在碱性条件下共代谢硫氰酸盐(SCN)和游离氰化物(CN)的能力。乙酰微小杆菌对初始浓度为150mg SCN/L的SCN降解效率为99.9%,但该菌株无法降解CN。因此,海黄芽孢杆菌对初始浓度为200mg CN/L的CN降解效率为99%。同样,该菌株无法降解SCN;因此,这导致了对这两种微生物共代谢SCN和CN的评估。使用响应面方法(RSM)评估操作条件的优化。采用数值优化技术评估输入变量即pH、温度、SCN和CN浓度的优化。发现最佳条件如下:pH 9.0、温度34℃、140mg SCN/L和205mg CN/L,在此条件下,168小时内SCN和CN将完全降解。利用优化后的数据,评估了乙酰微小杆菌和海黄芽孢杆菌对SCN和CN的共代谢,实现了≥99.9%的综合降解效率。这些微生物的高降解能力使其被添加到一个正在处理SCN和CN的活性连续生物降解系统中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f5f/4990519/ff7b0df2b01f/13205_2016_491_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验