Literature DB >> 25242919

Optimization of lipids production by Cryptococcus laurentii 11 using cheese whey with molasses.

Rodrigo Fernandes Castanha1, Adriano Pinto Mariano2, Lilia Aparecida Salgado de Morais1, Shirlei Scramin1, Regina Teresa Rosim Monteiro3.   

Abstract

This study aimed the optimization of culture condition and composition for production of Cryptococcus laurentii 11 biomass and lipids in cheese whey medium supplemented with sugarcane molasses. The optimization of pH, fermentation time, and molasses concentration according to a full factorial statistical experimental design was followed by a Plackett-Burman experimental design, which was used to determine whether the supplementation of the culture medium by yeast extract and inorganic salts could provide a further enhancement of lipids production. The following conditions and composition of the culture medium were found to optimize biomass and lipids production: 360 h fermentation, 6.5 pH and supplementation of (g L(-1)): 50 molasses, 0.5 yeast extract, 4 KH2PO4, 1 Na2HPO4, 0.75 MgSO4 · 7H2O and 0.002 ZnSO4 · H2O. Additional supplementation with inorganic salts and yeast extract was essential to optimize the production, in terms of product concentration and productivity, of neutral lipids by C. laurentii 11. Under this optimized condition, the production of total lipids increased by 133% in relation to control experiment (from 1.27 to 2.96 g L(-1)). The total lipids indicated a predominant (86%) presence of neutral lipids with high content of 16- and 18-carbon-chain saturated and monosaturated fatty acids. This class of lipids is considered especially suitable for the production of biodiesel.

Entities:  

Keywords:  Cryptococcus laurentii; biodiesel; cheese whey; microbial lipids; sugarcane molasses

Mesh:

Substances:

Year:  2014        PMID: 25242919      PMCID: PMC4166260          DOI: 10.1590/s1517-83822014000200003

Source DB:  PubMed          Journal:  Braz J Microbiol        ISSN: 1517-8382            Impact factor:   2.476


Introduction

In order to make biodiesel a more sustainable product and economically competitive, there is a constant interest in finding new sources of essential fatty acids and much attention has been given to a class of microorganisms called oleaginous, which are able to produce oils and fats. The combination of these microorganisms with low-cost feedstocks, such as agro-industrial residues, is a promising way to substantially lower the production costs of biodiesel. A potential source of low-cost feedstock is found in the dairy industry, particularly the whey resulting from the cheese making process. Whey is the liquid remaining after the precipitation and removal of casein from milk (about 80–90% of the total volume of milk entering the process) and its composition varies according to milk composition, cheese type, and manufacturing process. Cheese whey contains about 7% solids, of which 10–12% is protein, and the remaining fractions are lactose (74%), mineral (8%) and fat (3%). This composition represents approximately 55% of the nutrients originally present in the milk (Karatay and Donmez, 2010). Due to these characteristics, cheese whey has been explored as growth medium for different fermentation processes aiming the production of commodities such as ethanol (Koush ) and high-valued chemicals, including poly-3-hydroxybutyrate (PHB), biosurfactants, and lactic acid (Nikel , Rodrigues ; Ghasemi ). As concerning the oleaginous microorganisms, some species of yeasts have been reported to be able to produce lipids. For example, Gill evaluated the accumulation of lipids by Candida sp. 107 growing on glucose. Evans and Ratledge (1983) studied the growth of Candida curvata on glucose, sucrose, lactose, xylose, and ethanol. More recently, species such as Trichosporon fermentans, Lipomyces starkeyi, and Yarrowia lipolytica showed to be able to utilize crude substrates, including frying oil residue, rice straw hydrolysate, and industrial glycerol, for the production of lipids (Papanikolaou and Angelis, 2002, Huang , Bialy ). Examples of yeasts that utilize cheese whey for the production of lipids include Apiotrichum curvatum and Cryptococcus curvatus (Ykema , Takakuwa and Saito, 2010). Some strains of Cryptococcus are already recognized as good producers of lipids, especially C. curvatus that has been widely studied in fermentations using different substrates, such as hydrolysates of sorghum bagasse and wheat straw, and raw glycerol (Thiru , Yu , Liang ). C. albidus was also evaluated for lipid accumulation using volatile fatty acids as carbon source (Fei ). However, C. laurentti has not been widely investigated for production of lipids and has been, on the other hand, mainly tested as a postharvest biocontrol agent (Blum ). The use of low-cost crude substrates for the production of bio-products generally demands a supplement with nutrients and labile sources of carbon. For this reason, an additional and important aspect to improve the economics of the production of biodiesel employing oleaginous microorganisms and low-cost feedstocks is to secure a low-cost supplement supply. In countries such as Brazil, South Africa, and India, with important sugar and ethanol production from sugarcane, the by-product molasses is a cheap and abundant material. Molasses contains carbohydrates (glucose, fructose, sucrose) and nutrients and has been studied to be used either as cultivation medium or supplement to microbial production of several bioproducts besides ethanol, such as biopolymer, biosurfactant, and lactic acid (Nitschke , Berwanger , Coelho ). In the context of developing new processes to lower the production costs of biodiesel by combining (i) oleaginous microorganisms, (ii) low-cost feedstock, and (iii) low-cost medium supplement, the aim of the present research was, therefore, the optimization of culture condition and composition for production of C. laurentii 11 biomass and lipids in cheese whey medium supplemented with sugarcane molasses.

Materials and Methods

Cheese whey and molasses

Four-L cheese whey samples were obtained from Jamava Laticínios (Santa Cruz da Conceição, Brazil) and stored at 4 °C. For the preparation of the fermentation medium, the cheese whey was sterilized at 121 °C for 15 min for protein coagulation and then centrifuged at 24953.76 xg. The supernatant was collected and used as fermentation medium. Sugarcane molasses was obtained from Fermentec (Piracicaba, Brazil) and stored at 4 °C.

Microorganism, Culture maintenance, and Inoculum preparation

C. laurentii 11 used in this study was provided by the Department of Microbiology and Biochemistry of the Universidade Estadual Paulista - UNESP (Campus of Rio Claro, Brazil). Laboratory stocks of the culture were grown aerobically at 28 ± 2 °C for 72 h in solid YEPG medium (yeast extract peptone glucose) containing yeast extract 10 g L−1, peptone 20 g L−1, glucose 20 g L−1, and agar 20 g L−1. The stocks were maintained at 4°C until inoculation of new culture. To prepare the inoculum, three plugs of the culture grown in YEPG medium (laboratory stock) were transferred to an Erlenmeyer flask (125 mL) containing 50 mL of seed culture medium, which was composed of (w/v): glucose 2%, peptone 1%, and yeast extract 0.5% and kept at 28 °C on a rotary shaker incubator at 180 rpm for 24 h.

Production of lipids

Erlenmeyer flasks (125 mL) containing 50 mL of fermentation medium were inoculated with 2 mL of seed culture and incubated at 28 °C and 180 rpm. Culture condition (fermentation time and pH) and composition (concentrations of molasses, yeast extract, and inorganic salts) were optimized using the technique of statistical design of experiments. A full factorial statistical design (FFD) was used to evaluate the effects of three factors (fermentation time, pH, and molasses concentration) on biomass and lipids production. Each factor was examined at two levels (−1 for low level and +1 for high level) and at a central point (0). The total number of experiments was 23 + 1, i.e. eight experiments plus a central point (Table 1).
Table 1

Coded level and real values of the full factorial experimental design with the results (responses) for dry biomass and total lipids.

RunCoded level (real value)Response*


pHFermentation time (h)Molasses (g L−1)aDry biomass (g L−1)Total lipids (g L−1)
1+1(6.5)+1(360)+1(100)13.23±0.641.25 0.18
2−1(5.0)+1(360)+1(100)12.54±0.231.16±0.06
3+1(6.5)−1(120)+1(100)7.22±0.300.75±0.03
4−1(5.0)−1(120)+1(100)6.73±0.730.70±0.04
5+1(6.5)+1(360)−1(50)16.58±1.471.53±0.12
6−1(5.0)+1(360)−1(50)14.75±2.231.05±0.08
7+1(6.5)−1(120)−1(50)8.64±0.770.55±0.13
8−1(5.0)−1(120)−1(50)6.69±0.340.52±0.04
90(5.75)0(240)0(75)10.66±0.330.79±0.013
CMb---4.57±0.801.27±0.28

mean values from triplicate experiments±standard deviation.

57% of total reducing sugars.

Control medium composed of cheese whey without molasses supplementation and pH adjustment. Cultivation was conducted at 28 °C and 180 rpm for 240 h.

Coded level and real values of the full factorial experimental design with the results (responses) for dry biomass and total lipids. mean values from triplicate experiments±standard deviation. 57% of total reducing sugars. Control medium composed of cheese whey without molasses supplementation and pH adjustment. Cultivation was conducted at 28 °C and 180 rpm for 240 h. The Plackett-Burman (PB) statistical design was used to determine whether the supplementation of the culture medium by yeast extract and inorganic salts: KH2PO4, NaHPO4, MgSO4·7H2O, CaCl2·2H2O, FeCl3·6HO, ZnSO4·H2O (Merck®, Darmstadt, Germany) could provide a further enhancement of lipids production. Factors and experimental levels of the Plackett-Burman experimental design are presented in Table 2 and the design matrix (PB-16) with coded values for the variables and the results (responses) for dry biomass and total lipids are shown in Table 3. Fermentation time, pH, and molasses concentration were kept at the optimum levels determined by the FFD.
Table 2

Factors and experimental levels of the Plackett-Burman experimental design.

Factor (g L−1)Experimental level

−10+1
Yeast extract0.511.5
KH2PO44710
Na2HPO4123
MgSO4·7H2O0.751.52.25
CaCl2·2H2O00.10.2
FeCl3·6H2O00.010.02
ZnSO4·H2O00.0010.002
Table 3

Plackett-Burman design matrix with coded values for the variables and the results (responses) for dry biomass and total lipids (g L−1).

RunFactoraResponse


ABCDEFGDry biomass (g L−1)Total lipids (g L−1)
1+1−1+1−1−1−1+119.672.31
2+1+1−1+1−1−1−120.152.25
3−1+1+1−1+1−1−119.232.16
4+1−1+1+1−1+1−119.202.40
5+1+1−1+1+1−1+118.922.96
6+1+1+1−1+1+1−119.712.39
7−1+1+1+1−1+1+119.592.39
8−1−1+1+1+1−1+120.142.65
9−1−1−1+1+1+1−120.232.35
10+1−1−1−1+1+1+119.022.52
11−1+1−1−1−1+1+118.392.70
12−1−1−1−1−1−1−118.632.17
13000000018.812.37
14000000018.642.36
15000000018.482.38
16000000018.542.30
17000000018.242.62

(A) yeast extract, (B) KH2PO4, (C) Na2HPO4, (D) MgSO4·7H2O, (E) CaCl2·2H2O, (F) FeCl3·6H2O, (G) ZnSO4·H2O.

Factors and experimental levels of the Plackett-Burman experimental design. Plackett-Burman design matrix with coded values for the variables and the results (responses) for dry biomass and total lipids (g L−1). (A) yeast extract, (B) KH2PO4, (C) Na2HPO4, (D) MgSO4·7H2O, (E) CaCl2·2H2O, (F) FeCl3·6H2O, (G) ZnSO4·H2O. Experiments were conducted randomly and in triplicate. The software Statistica (Statsoft Inc., v. 7.0) was used to analyze the results and the fit quality of the response surfaces was expressed by the coefficient of determination R2 and its statistical significance was determined by an F test (analysis of variance - ANOVA, p < 0.05).

Analytical procedures

Dry biomass

A 50-mL sample of culture broth was centrifuged for 20 min at 24953.76 xg and the collected wet cells washed twice with distilled water. Cell dry weight was determined by drying the washed cells to constant weight at 60 °C.

Lipids extraction

Total cellular lipid was extracted from the dry biomass by the method of Bligh and Dyer (1959) modified. The dry biomass was first treated with 2 M HCl solution to break the cell wall, subsequently centrifuged (10 min at 24953.76 xg) and the supernatant discarded. The biomass was then mixed with 4 mL distilled water, 10 mL methanol (Mallinckrodt®, St. Louis, Missouri, USA) and 5 mL chloroform (J.T. Baker®, Phillipsburg, USA). The mixture was stirred on a rotary shaker for 2 h at 220 rpm, and further diluted with 5 mL chloroform and 5 mL of 1.5% sodium sulfate (Vetec Química Fina®, Duque de Caxias, RJ, Brazil). After separation of the two layers by centrifugation for 2 min at 173.29 xg, the upper aqueous layer containing methanol, water and non-lipid compounds was discarded and the lower chloroform layer filtered on filter paper containing 1 g anhydrous sodium sulfate and collected in pre-weighed glass vials. This procedure was repeated to extract remaining lipids in the sample. All organic phases collected were mixed and the solvent removed in nitrogen atmosphere. Lipid content was expressed as gram of lipid per liter of fermentation broth.

Fractionation of lipids

Fractionation of yeast lipids was performed as described by Makri with modifications. Approximately 100 mg total lipids were dissolved in 1 mL chloroform and fractionated by using a column (15 mm × 100 mm) of 1 g silica gel 60 (Merck®, Darmstadt, Germany) activated by heating overnight at 100 °C. Successive applications of 100 mL dichloromethane (Vetec Química Fina®), 100 mL acetone (Vetec Química Fina®) and 50 mL methanol produced fractions containing neutral lipids (NL), glycolipids plus sphingolipids (G + S), and phospholipids (P), respectively.

Fatty acid composition

Analysis of fatty acids composition in total lipids and in lipids fractions was performed by Centro de Ciência e Qualidade de Alimentos do Instituto de Tecnologia de Alimentos - ITAL (Campinas, Brazil), according to the methodologies described by Food Standards Agency (2002), Hartman and Lago (1973), Firestone (2009) and Horwitz (2010).

Results and Discussion

In the set of experiments arranged according to the full factorial design, the maximum production of biomass (16.58 ± 1.47 g L−1) and lipids (1.53 ± 0.12 g L−1) were obtained in run 5 (pH = 6.5; 360 h fermentation time; 50 g molasses L−1) and the minimum production (6.69 ± 0.34 g biomass L−1; 0.52 ± 0.04 g lipids L−1) in run 8 (pH = 5.0; 120 h fermentation time; 50 g molasses L−1) (Table 1). In control experiment, without supplementation of molasses and pH adjustment and fermentation time equal to 240 h, biomass and lipids concentrations were 4.57 ± 0.80 g L−1 and 1.27 ± 0.28 g L−1, respectively. In relation to control, the changes in culture condition and composition related to run 5 resulted in an increase of biomass and lipids production by 263% and 20%, respectively. The effects of each factor (pH, fermentation time, molasses concentration) on the responses (dry biomass and total lipids) were calculated considering a significance level of 95% and presented in Pareto charts (Figure 1). A negative effect means that there is a decrease in the response parameter for every increase in the variable and vice-versa. An effect is considered statistically significant if its absolute value is greater than the value indicated by the vertical dotted line in the charts (p = 0.05). Thus, based on the calculated effects, the three evaluated factors had effect on the production of biomass, and only pH and fermentation time had effect on the production of lipids.
Figure 1

Pareto chart of the effects of pH, fermentation time, and molasses concentration on (a) biomass production and (b) total lipids production by C. laurentti 11. 1by2 means interaction between pH and fermentation time; 1by3 means interaction between pH and molasses concentration; 2by3 means interaction between fermentation time and molasses concentration.

Pareto chart of the effects of pH, fermentation time, and molasses concentration on (a) biomass production and (b) total lipids production by C. laurentti 11. 1by2 means interaction between pH and fermentation time; 1by3 means interaction between pH and molasses concentration; 2by3 means interaction between fermentation time and molasses concentration. Additionally, regression analysis of the results was used to generate response surfaces having biomass and total lipids as functions of the statistically significant factors. The surfaces were used to determine in which ranges of the factors, biomass and total lipids productions were maximized (Figure 2). These ranges were 50 to 75 g molasses L−1, 315 to 360 h fermentation time, and pH of 5.8 to 6.5.
Figure 2

Response surfaces (a) Dry biomass as a function of molasses concentration and fermentation time (R2 = 0.95); pH at 5.75. (b) Dry biomass as a function of molasses concentration and pH (R2 = 0.95); fermentation time at 360 h. (c) Total lipids as a function of pH and fermentation time (R2 = 0.90); molasses concentration at 75 g L−1. (d) Total lipids as a function of molasses concentration and fermentation time (R2 = 0.90); pH at 6.5.

Response surfaces (a) Dry biomass as a function of molasses concentration and fermentation time (R2 = 0.95); pH at 5.75. (b) Dry biomass as a function of molasses concentration and pH (R2 = 0.95); fermentation time at 360 h. (c) Total lipids as a function of pH and fermentation time (R2 = 0.90); molasses concentration at 75 g L−1. (d) Total lipids as a function of molasses concentration and fermentation time (R2 = 0.90); pH at 6.5. Fermentation time was the factor with the strongest effect on both responses, and its extension from 240 h to 360 h was essential to increase lipids production. Typically, oleaginous yeasts accumulate substantial amount of lipids during the stationary growth phase upon 300 h fermentation time (Fakas ). As to the factor pH, the better production of lipids observed at the high level (pH 6.5) is also in agreement with other studies (Angerbauer ). Due to the negative effect molasses had on biomass production, cell growth was favored when the concentration of this component was in the lower level, which corresponded to approximately 28.5 to 57 g L−1 total reducing sugar. Despite the growth factors and metal ions available in molasses (Crueger and Crueger, 2000), the high concentration of reducing sugar (57%) at the high level of supplementation probably inhibited cell growth. It should be noted that, although the variation of molasses concentration from 50 to 100 g L−1 had no significant effect on lipids production, the supplementation resulted in an important increase of lipids production (20%) in comparison with control experiment. For this reason, the lower-bound concentration of 50 g L−1 was set as the optimum value. Due to the fact that this rise in lipids production is very probably the maximum improvement possible to be achieved with molasses supplementation, the set of experiments arranged according to the Plackett-Burman design (Table 3) aimed to determine whether the supplementation of the culture medium by yeast extract and inorganic salts (KH2PO4, NaHPO4, MgSO4·7H2O, CaCl2·2H2O, FeCl3·6HO, ZnSO4·H2O) could provide a further enhancement of lipids production. In these experiments, fermentation time, pH, and molasses concentration were kept constant at their optimum values, respectively, 360 h, 6.5, and 50 g L−1. Under the different levels of medium components, biomass production varied from 18.24 to 20.23 g L−1 and lipids production markedly achieved values between 2.16 and 2.96 g L−1 (Table 3) representing an increase by 93% in relation to the maximum lipids production obtained with molasses supplementation (1.53 g L−1). Interestingly, none of the factors had a statistically significant effect on biomass production and only concentration of ZnSO4·H2O positively affected lipids production (Figure 3). Li also observed increased lipids productions by Rhodosporidium toruloides due to regulation of the Zn2+ concentration. In this manner, the optimum additional supplementation was found to be in the high level for ZnSO4·H2O concentration (0.002 g L−1) and in the low level for the other factors.
Figure 3

Pareto chart of the effects of inorganic salts and yeast extract on (a) biomass production and (b) total lipids production by C. laurentti 11.

Pareto chart of the effects of inorganic salts and yeast extract on (a) biomass production and (b) total lipids production by C. laurentti 11. Overall, the following conditions and composition of the culture medium were found to optimize biomass and lipids production: 360 h fermentation, 6.5 pH and supplementation of (g L−1): 50 molasses, 0.5 yeast extract, 4 KH2PO4, 1 Na2HPO4, 0.75 MgSO4·7H2O and 0.002 ZnSO4·H2O. Under these optimized conditions, lipids production (2.96 g L−1) increased by 133% in relation to control experiment (1.27 g L−1). It is worthwhile to note that lipids production under optimized conditions, however, without molasses supplementation, dramatically dropped to 0.44 g L−1. Another important observation is related to lipids productivity (g L−1 h−1). Although the optimum fermentation time is 5 days longer than in control, the additional supplementation with inorganic salts and yeast extract yielded a more productivity fermentation (55%). Table 4 presents a summary of the main performance indicators for control and optimized experiments.
Table 4

Summary of the main indicators of fermentation performance.

FermentationDry biomass (g L−1)Total lipids (g L−1)Lipids productivity (g L−1 h−1 10−3)
Control (240 h fermentation time, without both pH adjustment and molasses supplementation)4.571.275.29
Optimized condition 1 (360 h fermentation time, pH 6.5, 50 g molasses/L)16.581.534.25
Optimized condition 2 (360 h fermentation time, pH 6.5, 50 g molasses/L plus supplementation with inorganic salts and yeast extract)18.922.968.22
Summary of the main indicators of fermentation performance.

Lipids properties

The fractionation of the lipids indicated that the fatty acid distribution was similar in both control and optimized experiments. Neutral lipids were the predominant fraction (72 to 89%) followed by glycolipids plus sphingolipids (7 to 19%) and the phospholipids fraction (4 to 8%) (Table 5). This distribution is especially interesting for biodiesel production because neutral lipids are more readily converted to biodiesel than are polar lipids contained in membranes.
Table 5

Fatty acid distribution (total lipids, neutral lipids - N, glycolipids plus sphingolipids - G + S, phospholipids - P).

Fatty acidsDistribution (%)

Total lipidsNG + SP
(1)a(2)b(3)c(1)a(2)b(3)c(1)a(2)b(3)c(1)a(2)b(3)c




C16:021.027.424.723.026.324.424.930.825.224.633.837.8
C18:028.820.432.026.425.531.122.317.429.910.515.725.2
C18:136.040.632.736.433.733.041.531.831.661.034.424.9
C18:25.06.35.35.95.95.97.46.46.73.916.110.4
Othersd8.45.32.77.58.62.83.913.56.5< 0.01< 0.011.7
n.d.e0.822.5< 0.010.771.4< 0.01< 0.019.6< 0.01< 0.01< 0.01< 0.01
saturated58.257.559.456.951.158.451.151.761.635.149.563.0
mono-unsaturated36.033.932.736.441.033.041.531.831.661.034.426.6
poly-unsaturated5.06.15.35.96.55.97.46.96.73.916.110.4
omega-3< 0.010.19< 0.01< 0.010.18< 0.01< 0.010.47< 0.01< 0.01< 0.01< 0.01
omega-65.05.95.36.06.35.97.46.46.73.916.110.4
total trans isomers< 0.010.08< 0.01< 0.010.24< 0.01< 0.01< 0.01< 0.01< 0.01< 0.01< 0.01
Fractions distribution10010010089.172.385.86.919.49.14.08.35.1

Control.

Optimized condition 1 (molasses supplementation only).

Optimized condition 2 (molasses supplementation with inorganic salts and yeast extract).

C14:0, C15:0, C16:1, C17:0, C17:1, C18:1 trans, C18:3, C:20, C22:0, C23:0, C24:0.

not determined.

Fatty acid distribution (total lipids, neutral lipids - N, glycolipids plus sphingolipids - G + S, phospholipids - P). Control. Optimized condition 1 (molasses supplementation only). Optimized condition 2 (molasses supplementation with inorganic salts and yeast extract). C14:0, C15:0, C16:1, C17:0, C17:1, C18:1 trans, C18:3, C:20, C22:0, C23:0, C24:0. not determined. The combination of the values regarding neutral lipids fraction and total lipids production yields the following neutral lipids production (g L−1): 1.1 (control), 1.1 (optimized condition 1), and 2.5 (optimized condition 2). Thus, with the exclusive addition of molasses no gain in terms of neutral lipids production was obtained. In fact, molasses caused the neutral lipids fraction to decrease from 89% (control) to 72%. As a result, this change in fraction distribution counterbalanced the increase of total lipids production observed under optimized condition 1. The decrease of the neutral fraction as a consequence of the molasses was observed in other studies and is probably related to the high content of nitrogen compounds in molasses (Zhu , Karatay and Donmez, 2010, Koutb and Morsy (2011), Yan , Liu ). On the other hand, with the additional supplementation with salts and yeast extract (optimized condition 2) the neutral lipids fraction was re-established (86%) and similar to control. Thus, only the combination of molasses and chemical supplementation secured an effective improved production of the target lipids fraction essential for biodiesel production. In this case, the total lipids fraction as well as the neutral lipids, glycolipids + sphingolipids, and phospholipids fractions are mainly comprised of 16- and 18-carbon-chain fatty acids, predominantly oleic (C18:1), stearic (C18:0), palmitic (C16:0), and linoleic (C18:2) acid. The high content (59.4%) of saturated fatty acids lipids and the high cetane number related to them, is an indication that the lipids produced by C. laurentii 11 from cheese whey is suitable for the production of a biodiesel with excellent burning characteristics (Mittelbach and Remschmied (2004).

Conclusions

Additional supplementation with inorganic salts and yeast extract is essential to optimize the production, in terms of product concentration and productivity, of neutral lipids by C. laurentii 11 using cheese whey supplemented with sugarcane molasses. Under this optimized condition, the production of total lipids increased 133% in relation to control experiment (from 1.27 to 2.96 g L−1). The fractionation of the total lipids indicated a predominant (86%) presence of neutral lipids with high content of 16- and 18-carbon-chain saturated and monosaturated fatty acids. This class of lipids is considered especially suitable for the production of biodiesel.
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