IBB-Institute for Biotechnology and Bioengineering, Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057 Braga, Portugal.
Anal Chim Acta. 2011 Oct 31;705(1-2):235-42. doi: 10.1016/j.aca.2011.05.050. Epub 2011 Jun 12.
This work focuses on the use of chemometric techniques for identifying activated sludge process abnormalities. Chemometric methods combined with image analysis can improve activated sludge systems monitoring and minimize the need of analytical measurements. For that purpose data was collected from aggregated and filamentous biomass, biomass composition on Gram-positive/Gram-negative bacteria and viable/damaged bacteria, and operational parameters. Principal component analysis (PCA) was subsequently applied to identify activated sludge abnormalities, allowing the identification of several disturbances, namely filamentous bulking, pinpoint flocs formation, and zoogleal bulking as well as normal conditions by grouping the collected samples in corresponding clusters.
本研究专注于应用化学计量学技术识别活性污泥工艺异常。化学计量学方法与图像分析相结合，可提高活性污泥系统的监测能力，并减少对分析测量的需求。为此，从聚集和丝状生物量、革兰氏阳性菌/革兰氏阴性菌和活菌/受损菌的生物量组成以及操作参数中收集了数据。随后应用主成分分析（PCA）来识别活性污泥异常，通过将收集的样本分组到相应的聚类中，可识别出几种异常情况，包括丝状菌膨胀、针状絮体形成和菌胶团膨胀以及正常情况。
