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. 2018 Aug;8(8):326.
doi: 10.1007/s13205-018-1342-8. Epub 2018 Jul 17.

Optimization of nutrient stress using C. pyrenoidosa for lipid and biodiesel production in integration with remediation in dairy industry wastewater using response surface methodology

Shamshad Ahmad  1 , Vinayak V Pathak  2 , Richa Kothari  1   3 , Ashwani Kumar  4 , Suresh Babu Naidu Krishna  5
Affiliations

Optimization of nutrient stress using C. pyrenoidosa for lipid and biodiesel production in integration with remediation in dairy industry wastewater using response surface methodology

Shamshad Ahmad et al. 3 Biotech. 2018 Aug.

Abstract

The present study illustrates optimization and synergetic potential of alga Chlorella pyrenoidosa for lipid production and remediation of Dairy industry wastewater (DIWW) through response surface methodology (RSM). Maximum lipid productivity of 34.41% was obtained under 50% DIWW supplemented with 0 mg L-1 nitrate (NO3-), and 50 mg L-1 phosphate (PO4-3). While maximum biomass productivity (1.54 g L-1) was obtained with 50% DIWW supplemented with 100 mg L-1 NO3-, and 50 mg L-1, PO4-3. Maximum removal of COD (43.47%), NO3- (99.80%) and PO4-3 (98.24%) was achieved with 8th run (75% DIWW, 150 mg L-1 NO3-, 75 mg L-1 PO4-3), 15th run (50% DIWW, 0 mg L-1 NO3-, 50 mg L-1, PO4- 3) followed by 1st run (25% DIWW, 50 mg L-1 NO3-, and 25 mg L-1, PO4-3), respectively. Lipid (bio-oil) obtained from 15th run of experiment was converted in biodiesel through base catalyze transesterification process. Fatty acid methyl ester (FAME) analysis of biodiesel confirmed the presence of major fatty acids in C. pyrenoidosa grown in DIWW were C11:0, C14:0, C16:0, C16:1, C18:1 and C18:2. Results of study clearly demonstrate enhanced growth and lipid accumulation by C. pyrenoidosa in surplus PO4-3 and limitation of NO3- sources with DIWW and its suitability as potential alternative for commercial utilization.

Keywords: Algal biomass; Biodiesel; Lipid; Nutrients; Response surface methodology; Wastewater.

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Conflict of interest statement

Compliance with ethical standardsThe authors of this manuscript declare that there is no conflict of interest.

Figures

Fig. 1
Fig. 1
Growth kinetics of C. pyrenoidosa grown at different concentration of DIWW, NO3− and PO4−3
Fig. 2
Fig. 2
Three dimensional plot of standard error (SE) of COD(Removal%) as a function DIWW, NO3− and PO4−3 concentration
Fig. 3
Fig. 3
Normal plot of actual versus predicted probability: a COD(Removal %); b phosphate (%) removal; c Nitrate (%) removal; d biomass productivity (g L− 1); e Lipid content (%) associated with for C. pyrenoidosa grown at different concentrations of DIWW, NO3− and PO4−3
Fig. 4
Fig. 4
Effect of PO4−3 and DIWW variables on COD(Removal %) by C. pyrenoidosa in 3D plot
Fig. 5
Fig. 5
Effect of NO3− and DIWW variables on total phosphorus (TP) removal by C. Pyrenoidosa in 3D plot
Fig. 6
Fig. 6
Effect of NO3− and DIWW variables on total nitrogen (TN) removal by C. pyrenoidosa in 3D plot
Fig. 7
Fig. 7
Effect of NO3− and DIWW variables on Biomass productivity of C. pyrenoidosa in 3D plot
Fig. 8
Fig. 8
Effect of NO3− and PO4−3 variables on Lipid content removal by C. Pyrenoidosa in 3D plot
See this image and copyright information in PMC

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