Department of Biotechnology, Delft University of Biotechnology, Julianalaan 67, 2628 BC Delft, The Netherlands.
Appl Microbiol Biotechnol. 2013 Aug;97(16):7459-68. doi: 10.1007/s00253-012-4459-4. Epub 2012 Oct 14.
In the present study, the factors influencing density of granular sludge particles were evaluated. Granules consist of microbes, precipitates and of extracellular polymeric substance. The volume fractions of the bacterial layers were experimentally estimated by fluorescent in situ hybridisation staining. The volume fraction occupied by precipitates was determined by computed tomography scanning. PHREEQC was used to estimate potential formation of precipitates to determine a density of the inorganic fraction. Densities of bacteria were investigated by Percoll density centrifugation. The volume fractions were then coupled with the corresponding densities and the total density of a granule was calculated. The sensitivity of the density of the entire granule on the corresponding settling velocity was evaluated by changing the volume fractions of precipitates or bacteria in a settling model. Results from granules originating from a Nereda reactor for simultaneous phosphate COD and nitrogen removal revealed that phosphate-accumulating organisms (PAOs) had a higher density than glycogen-accumulating organisms leading to significantly higher settling velocities for PAO-dominated granules explaining earlier observations of the segregation of the granular sludge bed inside reactors. The model showed that a small increase in the volume fraction of precipitates (1-5 %) strongly increased the granular density and thereby the settling velocity. For nitritation-anammox granular sludge, mainly granular diameter and not density differences are causing a segregation of the biomass in the bed.
在本研究中,评估了影响颗粒污泥颗粒密度的因素。颗粒由微生物、沉淀物和细胞外聚合物组成。通过荧光原位杂交染色实验估算了细菌层的体积分数。通过计算机断层扫描确定沉淀物所占的体积分数。使用 PHREEQC 估算潜在的沉淀物形成,以确定无机部分的密度。通过聚蔗糖密度离心法研究细菌的密度。然后将体积分数与相应的密度相结合,计算出颗粒的总密度。通过在沉降模型中改变沉淀物或细菌的体积分数,评估整个颗粒密度对相应沉降速度的敏感性。源自同时去除磷 COD 和氮的 Nereda 反应器的颗粒的结果表明,聚磷菌 (PAO) 的密度高于糖原积累菌,导致 PAO 占主导地位的颗粒的沉降速度显著提高,这解释了先前观察到的反应器内颗粒污泥床的分离。该模型表明,沉淀物体积分数的微小增加(1-5%)强烈增加了颗粒密度,从而提高了沉降速度。对于亚硝化-厌氧氨氧化颗粒污泥,主要是颗粒直径而不是密度差异导致生物量在床内的分离。