Liu Yucan, Zhu Yuliang, Wu Daishun, Wang Zhaoyang, Wang Yajun, Wang Gang, Zhou Xin, Sun Hongwei
School of Environmental and Material Engineering, Yantai University, Yantai 264005, China; School of Civil Engineering, Yantai University, Yantai 264005, China.
Fujian Provincial Key Laboratory of Coastal Basin Environment, School of Marine and Biochemical Engineering, Fujian Polytechnic Normal University, Fuqing 350300, China.
Bioresour Technol. 2023 Mar;371:128595. doi: 10.1016/j.biortech.2023.128595. Epub 2023 Jan 9.
This work comprehensively deciphered the effect of free nitrous acid (FNA) on the microbial community, inhibitory kinetics, and nitrifiers in nitritation process. Nitritation was first successfully achieved through selective inhibition of free ammonia (FA) on nitrite oxidizers (NOB). Then, batch tests clearly showed that FNA significantly inhibits the ammonia oxidation rate (r) and the growth rate (μ) of ammonia oxidizers (AOB), which was well described by the Hellinga model (K = 0.222 mg·L). The structural equation model indicated that FNA was significantly and negatively associated with r, μ, Nitrosomonas, Commamons, Nitrospira, and Nitrotoga and positively correlated with Paracoccus. Furthermore, Nitrosomonas significantly drove the ammonia utilization and growth of AOB and was identified as the most important functional biomarker indicating the nitritation in response to FNA levels using random forest model. This study provides helpful information on the kinetics of the mechanism underlying the FNA inhibition on nitrification.
这项工作全面解析了游离亚硝酸(FNA)对亚硝化过程中微生物群落、抑制动力学及硝化菌的影响。亚硝化首先通过游离氨(FA)对亚硝酸盐氧化菌(NOB)的选择性抑制而成功实现。随后,批次试验清楚表明,FNA显著抑制氨氧化菌(AOB)的氨氧化速率(r)和生长速率(μ),Hellinga模型(K = 0.222 mg·L)对其有很好的描述。结构方程模型表明,FNA与r、μ、亚硝化单胞菌属、共养单胞菌属、硝化螺菌属和硝化弧菌属显著负相关,与副球菌属正相关。此外,亚硝化单胞菌属显著推动AOB的氨利用和生长,并且使用随机森林模型将其确定为响应FNA水平指示亚硝化的最重要功能生物标志物。本研究为FNA抑制硝化作用的机制动力学提供了有用信息。