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The aim of this work is to analyze Microbial Fuel Cell (MFC) processing of dairy wastewater with a multivariate statistical approach. An operating MFC was monitored for 70 days using dairy influents with varying characteristics. Results of a Principal Component Analysis (PCA) suggested that the initial dataset of 8 process-related variables could be reduced to 3 main components, explaining 80% of...
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