碳源对除磷颗粒污泥除污效能和微生物特性的影响

doi:10.19965/j.cnki.iwt.2022-1178

摘要/Abstract

摘要：

采用厌氧-好氧间歇运行模式，在SBR反应器中分别以丙酸钠、乙酸钠、葡萄糖、蔗糖为单一碳源对生物除磷颗粒污泥进行培养驯化，并考察不同碳源下除磷颗粒污泥对水中磷的去除效果，同时结合高通量测序，探究不同碳源驯化的生物除磷颗粒污泥中微生物种群结构的变化情况。结果证明：碳源为丙酸钠时，系统对磷的去除效果最佳。高通量测序结果表明：碳源对除磷颗粒污泥的微生物种群结构影响显著，以丙酸钠为碳源的颗粒污泥中聚磷菌（PAOs）占比最高；以乙酸钠为碳源的颗粒污泥聚糖菌（GAOs）占比最高；以蔗糖为碳源的颗粒污泥PAOs含量最低，对磷的去除效果最差。

关键词: 碳源, 除磷, 高通量测序

Abstract:

Anaerobic-aerobic intermittent operation mode was used to cultivate and domesticate biological phosphorus removal granular sludge in the SBR reactor, with sodium propionate, sodium acetate, glucose, and sucrose as the single carbon source, separately. The effect of granular sludge cultivated under different carbon sources on phosphorus removal was investigated. With high-throughput sequencing, the microbial population structure in these granular sludge was explored. Among them, the system with sodium propionate as carbon source had the best phosphorus removal effect. High-throughput sequencing results revealed that carbon sources had significant impact on the microbial population structure of phosphorus removal granular sludge. The granular sludge with sodium propionate as the carbon source had the highest proportion of phosphorus-aggregating bacteria (PAOs). The granular sludge with sodium acetate as the carbon source had the highest proportion of glycogen accumulating organisms (GAOs). While the granular sludge with sucrose as the carbon source had the lowest proportion of GAOs, with the worst phosphorus removal effect.

Key words: carbon source, phosphorus removal, high-throughput sequencing

中图分类号:

X703.1

相延铮, 何成达, 朱腾义, 何瑜. 碳源对除磷颗粒污泥除污效能和微生物特性的影响[J]. 工业水处理, 2023, 43(12): 89-95.

Yanzheng XIANG, Chengda HE, Tengyi ZHU, Yu HE. Influence of carbon source on decontamination efficacy and microbial characterization of phosphorus removal granular sludge[J]. Industrial Water Treatment, 2023, 43(12): 89-95.

https://gyscl.magtechjournal.com/CN/Y2023/V43/I12/89

图/表 7

图1 SBR工艺流程

Fig.1 Technological process of SBR

图2 各反应器内COD和TP的变化

Fig.2 Variation of COD and TP in each reactor

图3 系统内COD变化

Fig.3 Variation of COD in the system

图4 系统内TP的变化

Fig.4 Variation of TP in the system

表1 微生物多样性指数对比

Table 1 Comparison of microbial diversity index

样本	Sobs	Chao	Ace	Simpson	Shannon	Coverage
S0	814	832.375	832.886	0.011	5.349	0.998
S1	300	352.527	352.563	0.129	3.058	0.998
S2	463	491.212	490.774	0.053	3.998	0.999
S3	430	493.088	476.116	0.029	4.205	0.998
S4	380	415.636	411.596	0.072	3.715	0.998

图5 基于OTUs的微生物多样性分析

Fig.5 Microbial diversity analysis based on OUTs

图6 微生物功能菌群分布

Fig.6 Distribution of functional microbial community

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