工业水处理 ›› 2020, Vol. 40 ›› Issue (5): 100-105. doi: 10.11894/iwt.2019-0679

• 试验研究 • 上一篇    下一篇

SRB的分离筛选及其去除废水中硫酸盐的响应面优化

蔡晓阳(),张艳萍*(),焦凡凡,张丽媛   

  1. 北京工商大学轻工科学技术学院, 北京 100048
  • 收稿日期:2020-04-17 出版日期:2020-05-20 发布日期:2020-05-22
  • 通讯作者: 张艳萍 E-mail:799613797@qq.com;zhyp@th.btbu.edu.cn
  • 作者简介:蔡晓阳(1994-),硕士。电话:18801236821, E-mail:799613797@qq.com

The separation and screening of sulfate reducing bacteria and the optimization of sulfate removal in wastewater by response surface methodology

Xiaoyang Cai(),Yanping Zhang*(),Fanfan Jiao,Liyuan Zhang   

  1. School of Light Industry Science and Technology, Beijing Technology and Business University, Beijing 100048, China
  • Received:2020-04-17 Online:2020-05-20 Published:2020-05-22
  • Contact: Yanping Zhang E-mail:799613797@qq.com;zhyp@th.btbu.edu.cn

摘要:

从处理柠檬酸废水的IC反应器中的厌氧颗粒污泥中富集培养、分离筛选得到一株可以高效还原硫酸盐的菌株SRB-1,用以去除废水中的硫酸盐。在单因素实验的基础上,通过响应面法研究COD/SO42-(C/S比)、初始pH和Fe2+质量浓度三个因素的交互作用并确定去除废水中硫酸盐的最佳条件。结果表明,三个因素都显著影响了废水中硫酸盐的去除,其中C/S比影响最大,初始pH和Fe2+质量浓度交互作用较强;预测的硫酸盐去除最佳条件:pH为6.9、C/S比为4.4、Fe2+质量浓度为281.72 mg/L,此条件下SRB-1菌株对废水中硫酸盐的去除率实际均值为96.81%,与预测值96.87%十分接近,优化结果具有一定的应用价值。

关键词: 硫酸盐废水, 硫酸盐还原菌, 响应面优化

Abstract:

A strain of SRB-1, which can efficiently reduce sulfate, was obtained from the anaerobic granular sludge in an IC reactor for treating citric acid wastewater to remove sulfate in wastewater. Based on the single-factor experiment, the interaction among three factors of C/S ratio, initial pH, and the concentration of Fe2+ was studied by response surface methodology and the optimal conditions for the rate of sulfate removal were determined. The results showed that the all three factors significantly affected the rate of sulfate removal in wastewater, and the C/S ratio had the greatest influence. The interaction between initial pH and the concentration of Fe2+ were stronger. The optimum conditions for sulfate removal were determined at pH 6.9, C/S ratio of 4.4, and Fe2+ concentration of 281.72 mg/L. Under these conditions, the removal rate of sulfate in wastewater by SRB-1 strain was 96.81%. It was very closed to the predicted value of 96.87%, and the optimization result has certain application value.

Key words: sulfate wastewater, sulfate-reducing bacteria, response surface optimization

中图分类号: