Microalgae were obtained from YYU-microalgae collection. Chlorella sp. DEE006 was cultured at 25˚C ± 2˚C and Bold’s Basal Medium (BBM) was prepared with some modifications according to Andersen, 2005 [12]. BBM was adjusted to pH 6.8 and checked for control experiments. The municipal wastewater was autoclaved and mixed with Bold’s Basal Medium (BBM) before using. The batch cultures of Chlorella sp. DEE006 were grown at different ratios (v/v) of municipal wastewater (0%, 25%, 50%, 75% and 100% wastewater). Municipal wastewater was obtained from Van, Turkey. The microbial contamination was checked with Thoma cell counting chamber and maintained less than 2% when increasing contamination (up to 2%). More than 2% can lead to bacterial and fungal contamination and this situation can adversely affect growth curves of microalgae.

In this study, batch culture studies were examined in 500 mL of Erlenmeyer flasks consisting of 250 mL of medium. For continuous studies, we designed flat airlift photobioreactor (PBR) (1 L) and air was injected at the bottom for culture mixing with a constant air flow rate of 0.3 L・min⁻¹. PBR was illuminated with an external light source at a light intensity of approximately 180 µmol m⁻² s⁻¹. Before using, PBR was sterilised 30 min with a 5 mM peroxyacetic acid solution.

Growth of microalgae was monitored at 680 nm using spectrophotometer. Ash free dry weights (AFDW) were obtained for correlation between optical density and dry weight. The algal suspension was grown up to stationary growth phase and harvested by centrifugation at 3000 g for 10 min at 4 C according to Barsanti and Gualtieri [13]. The algal biomass was lyophilized and stored at −20˚C for further analysis. All experiments were performed with three biological replicates.

Specific growth rates of microalgal biomass were calculated by the following equation [14]. Specific growth rate (µ): In (X₁ − X₂)/(t₂ − t₁). Where, X₁: Biomass concentration at the end of the selected time interval in mg・L⁻¹; X₂: biomass concentration at the beginning of the selected time interval in mg・L⁻¹; t₂ − t₁: Time elapsed between the selected time points in days (d). The doubling time was calculated with using Equation below.

T d = 0.693 / μ

Biomass was also treated with acidic hydrolysis (1 M H₂SO₄). Samples were autoclaved at 121˚C for 30 min. After hydrolysis, samples were cooled down to room temperature and suspension was centrifuged at 4000 g for 10 min. The supernatant was taken for sugar content analysis.

Total protein was extracted according to Weis et al., 2002 [15]. Protein concentration of the isolates was calculated according to the Bradford method [16]. Bovine serum albumin (BSA) was used as standard. Absorbance values were measured at 595 nm.

Total carbohydrate contents of the isolates were determined by the anthrone method with minor modifications [17]. Glucose was used as a standard at various concentrations (10, 40, 60, 100, 150, 200 µg/mL).

C. acetobutylicum was selected for biobutanol fermentation. The growth medium of C. acetobutylicum included 1 - 40 g of glucose or microalgae biomass, 0.17 g of KH₂PO₄, 0.16 g of Na₂SO₄, 5 g of yeast extract, 1 of tryptone, 0.01 g of p-aminobenzoic acid and 0.01 g of Biotin with pH adjusted to 4.8. The butanol fermentation was carried out at 37˚C.

Fermented microalgae samples were taken for calculation of biobutanol concentration. Biobutanol concentrations were measured according to Maiti et al., 2015 [18] spectrophotometrically. All experiments were performed with three biological replicates.

In this study, the municipal wastewater was sterilized and the microbial contamination was checked with Thoma cell counting chamber and maintained less than 2%. Throughout our study, municipal wastewater and BBM were mixed proportionally (0%, 25%, 50%, 75% and 100%).

Growth curves of microalgae can change in various mediums and stress conditions. In this study, we plotted growth curves of microalgae grown in different concentrations (0%, 25%, 50%, 75% and 100%) of municipal wastewater. Control group includes components of BBM and shown as 0%. But, 100% wastewater consists of completely municipal wastewater. Growth curves were plotted via absorbance values and biomass concentrations versus time (days). The results were given in Figure 1. 50% wastewater displayed the fastest growth (1.49 ± 0.002), reaching stationary phase for growth at nine days. Control, 25%, 75% and 100% of wastewater reached to stationary phase between six and nine days with different absorbance values 1.29 ± 0.001, 1.46 ± 0.001, 1.32 ± 0.001, 0.94 ± 0.001, respectively. The efficient growth of microalgae in wastewater is dependent on many reasons such as the types and the sources of wastewater. Also, the variation is also displayed in the tolerant capacities of various microalga species to specific wastewater conditions [10]. According to literature, our results were similar. Many microalgae strain can be grown in municipal wastewater and they can deplete nitrogen, phosphorus and sulphur until reaching stationary phase. Thus, biomass of microalgae can be applied for wastewater treatment and biofuel production [8] [19].

According to biomass concentrations, microalgae had linearity when cell number and optical density were plotted versus time (days). 50% wastewater had the highest biomass concentration (1930 ± 11 mg/L) among wastewater with five various concentrations. 25% wastewater showed higher biomass concentration (1789 ± 11 mg/L) than those of control (1556 ± 11 mg/L) and 75% wastewater (1567 ± 19 mg/L). Also, 100% wastewater displayed the lowest biomass concentration with (1122 ± 22 mg/L). The results were shown in Figure 2. These results are support by Cai et al., 2013 [20]. In this study, they show that growth of microalgae, biomass content and lipid production change significantly in wastewater [20]. Cho et al., 2013 also carried out that Chlorella sp. yield the highest biomass production nearly 3.0 g・L⁻¹ with 10% anaerobic digestion tanks, and conflux line of the 90% wastewaters combined wastewater as nutrients for microalgae cultivation [21].

Biomass productivity of Chlorella sp. DEE06 grown in different concentrations of wastewater was calculated according to their maximum biomass concentrations. 50% wastewater had the highest biomass productivity with 0.28 ± 0.001 g L⁻¹d⁻¹. 25% wastewater reached to higher stationary phase than control group and 75% wastewater. It showed higher biomass productivity (0.26 ± 0.002 g L⁻¹d⁻¹) than those of control (0.22 ± 0.004 g L⁻¹d⁻¹) and 75% (0.22 ± 0.002 g L⁻¹d⁻¹). 100% wastewater had the lowest biomass productivity (0.19 ± 0.003 g L⁻¹d⁻¹). In addition, we calculated specific growth rates of microalgae in different wastewater concentrations.

50% wastewater showed maximum specific growth rate (5.98 ± 0.01 d⁻¹) when compared to control, 25%, 75% and 100%. 100% wastewater had minimum specific growth rate (5.55 ± 0.02 d⁻¹). Also, control, 25%, 50%, 75% and 100% wastewater had 0.120 d, 0.121 d, 0.116 d, 0.119 d and 0.125 d, respectively. The results were given in Table 1. The total nitrogen and total phosphorus can fluctuate in medium according to types of wastewater. Some of studies indicated that municipal, agricultural and industrial wastewaters for Chlorella species can cause changes of biomass content and productivity [1] [9] [22] [23].

We plotted carbohydrate and protein concentration of Chlorella sp. DEE006 grown in municipal wastewater according to gL⁻¹ versus time (day). 50% wastewater had the highest carbohydrate concentration (0.80 ± 0.02 gL⁻¹) on the stationary phase. 25%, 75% and 100% showed lower carbohydrate contents with 0.66 ± 0.01 gL⁻¹, 0.52 ± 0.01 gL⁻¹ and 0.37 ± 0.01 gL⁻¹, respectively. In addition, protein contents of Chlorella sp. DEE006 were plotted and 50% wastewater had the highest protein content (0.95 ± 0.01 gL⁻¹) among other wastewater concentrations. 25% wastewater (0.85 ± 0.01 gL⁻¹) showed the higher protein content than those of 75% (0.71 ± 0.01 gL⁻¹) and 100% (0.50 ± 0.01 gL⁻¹). The results were displayed in Figure 3.

These results show parallel to literature. The current studies focused on increasing the biomass and lipid yield of microalgae [24]. Lipid content of microalgae grown in wastewater was not determined in a few studies. Lipid contents of microalgae were lower than 10 mg L⁻¹ d⁻¹ (10%) [25]. This can cause much more carbohydrate and protein accumulation. Wang et al. (2010) carried out Chlorella sp. on anaerobically digested dairy manure. The total fatty acid content ranged from 9.0% to 13.7% DW (0.141 - 0.233 g・L⁻¹) depending on the wastewater concentration used [1]. We calculated maximum carbohydrate and protein concentrations of microalgae grown in various municipal wastewaters. The highest carbohydrate content was 39.9% ± 1.2% at 50% wastewater. 25% wastewater showed the lower carbohydrate contents (35.8% ± 0.7%). Control, 75% and 100% wastewater had similar carbohydrate contents with 33.8% ± 0.9%, 33.4% ± 0.2% and 33.5% ± 0.5%, respectively. In addition, 25% and 50% wastewater accumulated similar protein contents, 46.2% ± 0.7% and 46.4% ± 0.2% respectively. Control, 75% and 100% had lower protein contents, 45% ± 2.1%, 45.2% ± 0.7% and 44.2% ± 1.2%, respectively. Carbohydrate and protein contents were given in Table 2.

C. acetobutylicum was used for biobutanol fermentation. Initial sugar concentrations (1, 2, 5, 10, 20 and 40 g) were adjusted and glucouse was used for standard. Because Chlorella sp.DEE006 grown in % 50 wastewater has the highest biomass productivity and carbohydrate content, it was selected for biobutanol production. Biobutanol content found as 6.23 ± 0.19 g・L⁻¹. In addition to this, we carried out its bioethanol yield and it was 0.16 ± 0.005 g (g sugar)⁻¹. The results were given in Table 3. In the literature, scientific articles related with biobutanol production from microalgae are not enough for evaluation of biofuel on microalgae. Many studies focused on biodiesel production. Yang studied the effects of water usage and life cycle water for biodiesel production and determined nutrients usage of microalgae in this system [26]. Wang examined enhancing bio-butanol production from biomass of Chlorella vulgaris JSC-6 with sequential

alkali pretreatment and acid hydrolysis and found that the optimal NaOH and H₂SO₄ concentrations used for the pretreatment were 1% and 3% (w/v), respectively for high bio-butanol production [27].