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测序批量反应堆中化过程的评估:建模和基因组方法

M C Gutiérrez¹, A Cáceres¹, A M Herruzo-Ruiz²

¹Department of Inorganic Chemistry and Chemical Engineering, Area of Chemical Engineering, Instituto Químico para la Energía y el Medioambiente (IQUEMA), Campus de Excelencia Internacional Agroalimentario ceiA3, University of Cordoba, Campus Universitario de Rabanales, Carretera N-IV, km 396, edificio Marie Curie, 14071, Córdoba, Spain.

Environmental research

|January 10, 2024

概括

在一个测序批量反应堆 (SBR) 中,化氨以酸盐实现了96%的去除和73%的形成. 增加生物质度减缓了氧化,但增强了脱.

科学领域:

环境微生物学环境微生物学
水处理技术水处理技术.
生物地质化学循环是什么

背景情况:

化是从废水中去除氨的关键.
序列批量反应器 (SBR) 是生物废水处理的多功能.
了解微生物群落对于优化去除过程至关重要.

研究的目的:

在实验室规模的SBR中评估化效率.
为了确定参与转换的关键细菌种群.
开发一种用于预测化合物转换的动力模型.

主要方法:

实验室规模的测序批量反应堆 (SBR) 操作.
对化合物的分析 (N-NH4+,N-NO2-,N-NO3-).
挥发性悬浮固体 (VSS) 度测量. 挥发性悬浮固体 (VSS) 的度测量.
使用16S rRNA测序和FAPROTAX进行细菌社区分析.
和碳转换的动态建模.

主要成果:

实现了96%的氨去除和73%的酸盐形成.
在VSS度和酸盐形成之间建立了强烈的线性相关性 (r2 = 0.9978).
鉴定出多样化的细菌群落,包括Nitrospira和Nitrosomonas,对于化至关重要.
动力模型准确地预测了和碳的转变.
较高的生物质度降低了氧化率,但增加了脱.

结论:

SBR对于化是有效的,其效率与生物质度有关.
细菌属Nitrospira和Nitrosomonas在观察到的化中起着至关重要的作用.
生物质度影响了化和脱率.
开发的动力模型为SBR过程优化提供了有价值的工具.

关键词:

16S rRNA 是一个16S rRNA.脱化过程中的脱.运动模型的动力模型.弥索菲尔化化是一种中性化.

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