Abstract The performance of a lab-scale wastewater treatment plant during the start-up phase was investigated. A period of varying pH resulted in the loss of ammonium removal efficiency together with a decrease in the specific autotrophic oxygen uptake rate (OUR) of the ammonium oxidizing bacteria (AOB). To understand how the AOB were affected at the molecular level, we used shotgun proteomics to quantify the relative protein levels in the system. Label-free quantification (LFQ) showed that during the time of poor ammonium removal, the marker enzyme hydroxylamine oxidase from Nitrosomonas sp. was massively reduced in intensity. The result of this study shows that quantitative proteomics has the potential to be used as a monitoring tool. Nevertheless, there are still some restrictions when measuring activated sludge using proteomic methods such as the availability of a suitable proteomic database. In this paper, we describe our experience of using publicly available databases for identification of activated sludge proteins.

中文翻译：

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使用蛋白质组学深入了解实验室规模污水处理厂中活性污泥的性能

摘要 对实验室规模污水处理厂在启动阶段的性能进行了调查。一段不同的 pH 值导致铵去除效率的损失以及铵氧化细菌 (AOB) 的特定自养氧摄取率 (OUR) 的降低。为了了解 AOB 如何在分子水平上受到影响，我们使用鸟枪蛋白质组学来量化系统中的相对蛋白质水平。无标记定量 (LFQ) 表明，在铵去除不良期间，来自亚硝化单胞菌属的标记酶羟胺氧化酶。强度大大降低。这项研究的结果表明，定量蛋白质组学具有用作监测工具的潜力。尽管如此，使用蛋白质组学方法测量活性污泥时仍然存在一些限制，例如合适的蛋白质组学数据库的可用性。在本文中，我们描述了我们使用公开可用的数据库来识别活性污泥蛋白的经验。