Optimization of microalgae harvesting by sedimentation induced by high pH
Author(s) -
Luan de Souza Leite,
Luiz Antônio Daniel
Publication year - 2020
Publication title -
water science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.406
H-Index - 137
eISSN - 1996-9732
pISSN - 0273-1223
DOI - 10.2166/wst.2020.106
Subject(s) - photobioreactor , sedimentation , chlorella sorokiniana , environmental science , bioproducts , pulp and paper industry , wastewater , context (archaeology) , biofuel , effluent , turbidity , dewatering , environmental engineering , algae , microbiology and biotechnology , biology , chlorella , botany , sediment , ecology , engineering , paleontology , geotechnical engineering
Microalgae harvesting is a major hurdle for the production of high-value microalgal bioproducts on a large scale. Among harvesting techniques, pH-induced sedimentation stands out as an inexpensive and technically viable method. Nevertheless, there is little information available on the application of this method for microalgae cultivated in wastewater. In this context, the present study investigated the optimization of sedimentation parameters for Chlorella sorokiniana harvesting from wastewater. Parameter optimization was statistically determined by the response surface methodology. The optimal values included a velocity gradient of 250 s -1 , mixing time of 10 seconds, and pH of 12, which enabled microalgae harvesting efficiencies of more than 97.8%. These optimal parameters also showed resilience through the physico-chemical variation of the photobioreactor effluent. Furthermore, wastewater quality improved significantly after microalgae harvesting. High removal was found for turbidity (97.9-98.3%), apparent color (92.2-97.2%), total Kjeldhal nitrogen (91.0-94.4%), and total phosphorus (92.8-98.6%). Centrifugation, as the dewatering method, and its operational parameters were also evaluated. Sedimentation followed by centrifugation increased the initial microalgae concentration by about 123 times. This study shows the importance of operational optimization and the results can be used as practical guidelines for microalgae harvesting on a large scale.
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