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[Analysis of Performance and Microbial Diversity of ANAMMOX Sludge Based on Particle Size Differentiation]
1Key Laboratory of Beijing for Water Quality Science and Water Environmental Recovery Engineering, College of Architectural Engineering, Beijing University of Technology, Beijing 100124, China.
Abstract:
In order to clarify the characteristics of anaerobic ammonia oxidizing (ANAMMOX) sludge and the succession rule of bacteria based on particle size differentiation, the performance change and microbial community structure of ANAMMOX floc sludge during the formation of particles in the reaction system of a high ammonia-nitrogen biofilter were studied. The results indicated that the specific activity (SAA) and tolerance of the ANAMMOX granular sludge (AnGS) were significantly improved by increasing the particle size, and the SAA of R4(>4.75 mm) was up to 426.8 mg·(g·d)-1, but it also had adverse effects on mass transfer. The results of the high-throughput sequencing showed that dynamic changes between bacterial genera were common. When the particle size was less than 4.75 mm, the increase in particle size strengthened the stability of the bacterial flora, the ammonia oxidizing bacteria (AOB) with more flocs were eliminated, and the nitrogen removal ratio gradually stabilized. R3 (2.8-4.75 mm) exhibited the most specific flora composition, and the functional bacteria Candidatus Kuenenia accounted for 52.7%, while the R4 community complexity increased. Furthermore, the proportion of functional bacteria decreased, and the abundance of heterotrophic bacteria increased, which negatively affected the particle structure. In addition, the R3 microorganism has the best gene function expression level, which is significantly better than small particles in gene replication repair and energy conversion. Finally, the evolution of AnGS was analyzed through the OTU matrix between the samples. These results have some guiding significance for the optimization of the AnGS system and will be helpful for the application of the ANAMMOX process.
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