Cultivation of Chlorella sorokiniana and Scenedesmus obliquus in wastewater

Fuzzy intelligence for evaluation of growth parameters and metabolites extraction

Sanjay Kumar Gupta, Faiz Ahmad Ansari, Mahmoud Nasr, Ismail Rawat, Mithil K. Nayunigari, Faizal Bux

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This study attempted to investigate the reuse potential of flocculated wastewater for the growth of microalgae species and to understand the relationship between microalgae growth parameters and metabolites extraction using a fuzzy logic model. For these purposes, batch experiments were conducted using two microalgae species, namely, Chlorella sorokiniana and Scenedesmus obliquus, cultivated in different types of flocculated wastewater, viz., BlueGreen (BG11), polymer (Pww), chitosan (CHww) and alum (Aww). Results indicated that a logistic model fitted well the biomass profiles with r2-values >0.95. The carrying capacities of C. sorokiniana (K: 45.13 mg L−1) and S. obliquus (K: 71.59 mg L−1) grown in the CHww medium were significantly (p < 0.01) higher than other flocculants. Additionally, the two microalgae species cultivated in CHww showed a good physiological health throughout the growth period. It was found that higher extraction yields of lipids: 16.0–19.8% and carbohydrates: 19.98–20.43% (w/w) of the dry weight were obtained when the microalgae species were grown in the CHww wastewater. Further, a fuzzy inference system confirmed the experimental data by predicting the yields of lipids, carbohydrates, and proteins at particular inputs of logistic model parameters and physiological health condition (r2-values > 0.98). It was concluded that CHww could be used as an efficient flocculated wastewater for the growth of microalgae species and that the suggested modeling technique was promising.

Original languageEnglish
Pages (from-to)419-430
Number of pages12
JournalJournal of Cleaner Production
Volume147
DOIs
Publication statusPublished - 20 Mar 2017
Externally publishedYes

Fingerprint

Metabolites
metabolite
Wastewater
wastewater
fuzzy mathematics
carrying capacity
Chitosan
Fuzzy logic
Logistics
logistics
Biomass
polymer
biomass
Polymers
modeling
evaluation
parameter
Evaluation
Waste water
experiment

Keywords

  • Flocculated wastewater
  • Fuzzy inference system
  • Logistic model
  • Metabolic yields
  • Physiological health

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

Cite this

Cultivation of Chlorella sorokiniana and Scenedesmus obliquus in wastewater : Fuzzy intelligence for evaluation of growth parameters and metabolites extraction. / Gupta, Sanjay Kumar; Ansari, Faiz Ahmad; Nasr, Mahmoud; Rawat, Ismail; Nayunigari, Mithil K.; Bux, Faizal.

In: Journal of Cleaner Production, Vol. 147, 20.03.2017, p. 419-430.

Research output: Contribution to journalArticle

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