13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Flocculation optimization of microalga Nannochloropsis oculata.

      1 , ,
      Applied biochemistry and biotechnology
      Springer Science and Business Media LLC

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The objective of this work was to understand and optimize the flocculation of a marine alga Nannochloropsis oculata with two cationic salts, aluminum sulfate (AS), and ferric chloride (FC). Based on single-factor and response-surface-methodology experiments, second-order polynomial models were developed to examine the effect of initial algal biomass concentration (IABC), pH, and flocculant dose (FD) on final solid concentration of algae (SCA). The experimental and modeling results showed that SCA favored low pH, which however was undesirable to biomass recovery rate. There existed a positive stoichiometric relationship between FD and IABC; higher IABC required higher FD, and vice versa, for higher SCA. Optimum flocculation conditions were predicted at IABC of 1.7 g/l, pH8.3, and FD of 383.5 μM for AS, and IABC of 2.2 g/l, pH7.9, and FD of 438.1 μM for FC, under which the predicted maximum SCA were 32.98 and 30.10 g/l using AS and FC, respectively. The predictions were close to validation experimental results, indicating that the models can be used to guide and optimize the flocculation of N. oculata using AS and FC as the flocculants.

          Related collections

          Author and article information

          Journal
          Appl Biochem Biotechnol
          Applied biochemistry and biotechnology
          Springer Science and Business Media LLC
          1559-0291
          0273-2289
          Apr 2013
          : 169
          : 7
          Affiliations
          [1 ] College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian, 350108, China.
          Article
          10.1007/s12010-013-0123-4
          23361974
          23a40f0b-45ba-4650-95c1-2435531cfdac
          History

          Comments

          Comment on this article