Research article Special Issues

Valorization of second cheese whey through cultivation of extremophile microalga Galdieria sulphuraria

  • Received: 17 June 2021 Accepted: 05 August 2021 Published: 18 August 2021
  • Second cheese whey (SCW) or "scotta" in Italian, is a side-stream from the manufacturing of "Ricotta" cheese, obtained after thermal coagulation of whey proteins residue in the cheese whey. Galdieria sulphuraria is a thermophilic red algae well known for its metabolic capabilities to grow on wastewater and other saline effluents. In this work, the valorisation of SCW as nutrient source for the growth of G. sulphuraria has been investigated using different concentrations of SCW. The biochemical and fatty acids composition of the biomass obtained has been evaluated too. Small differences have been observed in terms of biomass obtained after 12 days of cultivation between the SCW media and the relative control with the same amount of reducing sugars. The fatty acids composition of G. sulphuraria grown in SCW showed a higher content of polyunsaturated fatty acids compared to the control. The biomass productivity using SCW media has also been optimized through response surface methodologies with supplementation of nitrogen source obtaining a biomass dry weight higher than 10 g L-1.

    Citation: Giovanni L. Russo, Antonio L. Langellotti, Maria Oliviero, Marco Baselice, Raffaele Sacchi, Paolo Masi. Valorization of second cheese whey through cultivation of extremophile microalga Galdieria sulphuraria[J]. AIMS Environmental Science, 2021, 8(5): 435-448. doi: 10.3934/environsci.2021028

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  • Second cheese whey (SCW) or "scotta" in Italian, is a side-stream from the manufacturing of "Ricotta" cheese, obtained after thermal coagulation of whey proteins residue in the cheese whey. Galdieria sulphuraria is a thermophilic red algae well known for its metabolic capabilities to grow on wastewater and other saline effluents. In this work, the valorisation of SCW as nutrient source for the growth of G. sulphuraria has been investigated using different concentrations of SCW. The biochemical and fatty acids composition of the biomass obtained has been evaluated too. Small differences have been observed in terms of biomass obtained after 12 days of cultivation between the SCW media and the relative control with the same amount of reducing sugars. The fatty acids composition of G. sulphuraria grown in SCW showed a higher content of polyunsaturated fatty acids compared to the control. The biomass productivity using SCW media has also been optimized through response surface methodologies with supplementation of nitrogen source obtaining a biomass dry weight higher than 10 g L-1.



    Abbreviations: SCW: Second cheese whey; PUFA: polyunsaturated fatty acids; CW: cheese whey; RSM: response surface methodology; SM: standard medium; DNS: 3, 5-Dinitrosalicylic acid; FAN: free amino nitrogen; RS: Reducing sugars; CCD: central composite design; DW: dry weight; GC/FID: gas chromatography / flame ionization detector; FAME: fatty acids methyl esters; SM: standard medium

    The dairy industry is one of the most important food industries in Europe. Cheese manufacturing produces different effluents including the second cheese whey (SCW) which, in particular, comes from "ricotta" cheese production. The SCW is the result of whey proteins thermal coagulation, which are separated to make ricotta cheese, while the liquid residue is destined to be an effluent. The SCW is an interesting by-product due to the presence of important nutrients like lactose, nitrogen, free aminoacids, mineral salts, phosphorous etc. [1]. However, SCW production causes huge environmental and economic problems for its disposal by producers [2]. Only in Italy, where it is known as "scotta", more than 1 million tons per year are produced [1,3].

    In the last years, many efforts have been carried out to evaluate the biotechnological utilization of dairy wastewater or cheese whey (CW) [4]. Actually, there is not a real utilization of this by-product and it is destined to disposal by the producers. Usually, dairy effluents are treated with physicochemical or biological processes. A biological process that has been evaluated in the last years involves the use of microalgae [5].

    These aquatic protists are microrganisms widely known for their sustainable bioremediation capacity. In fact, they provide great opportunities to recycle nutrients present inside food waste or effluents such as sludge or saline wastewater [6,7]. The most used microalgae are Chlorella sp. and Scenedesmus sp., for which the growth on pretreated dairy effluents has been widely studied [8,9]. However, there is another group of microalgae that provides great opportunities as biorefinery platforms: the extremophile algae [10]. Extremophile algae are capable to grow in harsh conditions such as high salinity concentration or very low pH. Among them, Galdieria sulphuraria is a promising heterotrophic red algae that has been cultivated for the production of pigments, antioxidants and for the removal of nitrogen, sugars and phosphorus from wastewaters [5,11,12]. In fact, G. sulhpuraria is an important producer of C-Phycocyanin which exhibits ability to remain stable at high temperatures up to 60 ℃ [13]. This property makes this pigment very useful in various fields of forensic sciences including biotechnology, molecular biology, and recombinant technology.

    Thanks to its great metabolic flexibility, this microalga is an interesting biomass for the bioconversion of food by-products and waste in molecules with high added value. Moreover, G. sulphuraria is a thermo-acidophilic microalga capable to grow at pH lower than 2 and at temperature higher than 50 ℃, which are important to prevent bacterial contamination that could affect the growth performance [12].

    In scientific literature few works evaluated G. sulphuraria growth on food by-products. In particular, Massa et al., (2019) reported the biochemical composition for samples grown on spent cherry brine liquid [7]; while Zimermann et al., (2020) studied the growth kinetics of G. sulphuraria grown on whey permeate using, however, cell count as only growth parameter [5]. Scherhag and Ackermann (2020) instead, evaluated the sugar removal from fruit wastewater by G. sulphuraria (SAG 21.92) [11]. However, very few studies have been found on biomass optimization of these food wastes by using statistical methods such as response surface methodologies.

    Therefore, for the first time, in this work SCW has been used as nutrient media for the cultivation of G. sulphuraria. The growth kinetics and the biochemical composition of the microalga have been determined. The biomass optimization of new SCW media has been established through response surface methodology (RSM).

    G. sulphuraria (SAG 107.79) was obtained from Culture Collection of Algae at the University of Göttingen (Germany). Regular sub-culturing of photoautotrophic algae were made every 4 weeks on liquid and agar slants of Cyanidium Medium [7]. To obtain the transition from autotrophy to heterotrophy, the Allen medium [14] was used as standard media (SM), with an addiction of 30 g L−1 of glucose as organic carbon source and 1.32 g L−1 of (NH4)2SO4 as nitrogen source. The cultures were placed in a dark room at 27 ℃ ± 1 and the mixing was provided through an air bubbling system equipped with a filter of 0.22 µm in order to prevent any contamination and to provide oxygenation to the culture. The pH of culture was set at 1.5 with the addition of H2SO4 5 N.

    The SCW was gently provided by a dairy industry in the area of Salerno (Italy) that produces mozzarella and other fresh cheeses. The samples were taken from the accumulation tanks of the company and immediately stored at −18 ℃ for the transport in the laboratory. In these tanks only the SCW was present and not any other type of dairy wastewater.

    Prior any analysis, the SCW was filtered through a 1 µm filter to remove coarse solids. The chemical analyses involved the measurement of dry matter (g L−1), volatile solids (g L−1), ash (g L−1), pH (using a Mettler-Toledo pH-meter), reducing sugars using 3, 5-Dinitrosalicylic acid (DNS) method [15], protein content following Bradford method [16], nitrates (cadmium reduction method), ammonium (N-NH4) (salicylate method), phosphate content (P total) (acid digestion method) [17] and free amino nitrogen (FAN). FAN content was estimated with ninhidrin reaction method described by Lie (1973) [18]. All the analyses were carried out in triplicate.

    For the treatments, prior the cultivation, the SCW was heated up at 75 ℃ x 10 min to promote the precipitation of residual casein and then centrifuged at 4695 x g for 15 min. at 10 ℃. The clean surnatant was then collected and used for the analyses and for the cultivation trials.

    To evaluate the utilization of SCW as nutrient source, four different concentrations of this effluent have been investigated. The scotta was diluted to reach four different concentrations in reducing sugars (RS): 1.0%, 1.5%, 2.0% and 2.5%, corresponding to 22%, 34%, 45% and 57% of concentration (v/v) respectively. The dilution was made with distilled water. As control, G. sulphuraria was cultivated in Allen medium at 1.0%, 1.5%, 2.0% and 2.5% of glucose. For the samples with SCW, pH was adjusted to a final value of 1.5 using H2SO4 5 N as the SM.

    For this test, G. sulphuraria cultivation was carried for 12 d in air-lift reactor of 3 L with a working volume of 2 L at 27 ± 1 ℃ in a dark room. The inoculum for the SCW test was previously acclimatized with the by-product to improve the growth performances.

    After this, in order to enhance the biomass concentration using the new formulated media, a response surface method (RSM) was also used. A three level full factorial central composite design (CCD) was used to determine the effect of added nitrogen and glucose to the new media. The optimization consisted of 14 runs conducted in two blocks with 4 cubic points (or factorial points), 4 axial points (or star points) and 3 center points for each block. The independent factors used were glucose and (NH4)2SO4. The three levels (−1, 0 and +1) set for glucose were 0, 5 and 10 g L−1 supplemented to the SCW media, while for NH4SO4 was 0, 0.4 and 0.8 g L−1.

    The mathematical relationship of the response (Y) to the significant independent variables X1 and X2 is given by the following quadratic polynomial Eq 1:

    Y=β0+Σi1=1βiXi+i=1βiiXi2+i=1Σj=I+1βijXiXj (1)

    Where Y is the predicted response; Xi and Xj are the coded values; β0 the independent coefficient; βi, , j is the linear coefficient associated to each independent factor (Xi, j) and βij and βii are the coefficient for interaction and quadratic effects respectively [19]

    The optimization test was conducted at 28 ± 1 ℃ using 1 L Erlenmeyer flask with a working volume of 600 mL and the mixing provided by an air bubbling system equipped with a filter (as described above).

    The monitoring of the growth performances for control and treated samples were obtained through growth curves using standard gravimetric methods on daily aliquots of cultures. The dry cell weight (DCW, g L−1) was obtained after centrifugation at 4695 x g for 15 min and the pellet was rinsed twice to remove any residual salt. The pellet was dried at 70 ℃ until the constant weight was reached. The residual surnatant was filtered at 0.45 μm and immediately stored at −18 ℃ for further analysis. For the definition of the growth kinetics, the specific growth rate (μ), maximum specific growth rate (μmax day−1), maximum biomass obtained (Xmax), and tXmax were calculated.

    The maximum specific growth rate was calculated at the exponential stage following the Eq 2:

    μmax(day1)=(lnDCW2lnDCW1)t2t1 (2)

    Where DCW1, 2 is the dry cell weight at time 1 and 2 respectively.

    To evaluate the nutrient consumption by G. sulphuraria, the free amino nitrogen (FAN) in residual media was assessed. The FAN content was obtained using the ninhidrin assay and the residual reducing sugar by DNS method.

    After the period of cultivation (12 d), the biomass was harvested using a continuous centrifuge at 3005 x g and washed with distilled water. The wet biomass obtained was lyophilized for all the analysis. The carbohydrate determination was obtained with the Dubois method [20] using 1 gr of freeze-dried sample of G.sulphuraria. The ash content of the biomass was determined gravimetrically in a muffle furnace at 550 ℃ until achieving constant weight.

    The lipid content of biomass was determined by the Bligh and Dyer method [21] using chloroform:methanol 2:1 (v/v). The lipids extracted were suspended in 1 mL of hexane and then converted to their relative methyl esters by adding 200 μL of KOH 2 N in methanol for 30 s at room temperature. The fatty acids profile was obtained in gas chromatography system (Shimadzu GC-17A) coupled with a flame ionization detector (GC/FID). The GC was equipped with a fused silica capillary column (SPTM-2560, 75m x 0, 18 mm, i.d. 0, 14 μm film thickness) and using helium as gas carrier. The identification of the fatty acids methyl esters (FAME) was obtained after the injection of pure standards FAME from Larodan (Malmoe, Sweden) and comparing the relatives retention time. Acquisition software used for identification of FAME was the Class-VP chromatography data system, vers. 4.6 (Shimadzu Italia, Milan).

    The protein content of the biomass was obtained with Kjeldahl method [22]. The cellular protein value was calculated using the conversion factor of 6.25.

    The data were analyzed using SPSS software, version 23 (IBM Corp., Armonk, NY, USA). All the analyses were carried out in triplicate, and average values with standard deviation were reported. One-way analysis of variance (ANOVA) was applied using raw data to test for significant differences among the samples. P < 0.05 was considered statistically significant. Tukey's test was used for post-hoc analysis when there were significant differences among the samples. The optimization process was evaluated with RSM analysis, performed in 'R' (RStudio with 'R' version 3.0.2, RCore Team, Vienna/Austria).

    The chemical and physical composition of SCW is reported in Table 1. The characteristics of this by-product are not very different from cheese whey because it is slightly acid (pH 5.9) and characterized by a good content of reducing sugars, mainly lactose (up to 44 g L−1). The sugars and nitrates content of SCW were higher than those reported in literature [23]. The high RS content is very interesting for heterotrophic cultivation of G. sulphuraria, which was reported to be able to grow on many different organic carbon sources [24,25]. The analysis showed a residual content of protein, probably due to an inefficient process of flocculation during the "Ricotta" cheese production. However, the residual organic nitrogen could be very interesting for cultivation of G. sulphuraria which is able to use both inorganic and organic forms of nitrogen for its growth (i.e. aminoacids) [26]. The C:N ratio of the SCW was approximately 30, while the ratio of the SM is 43. That could affect the biochemical and lipid composition of the biomass obtained, as reported by other authors [27]. Total phosphorus (P total) of SCW was 96 mg L−1, that is lower respect to the standard medium (110 mg L−1), and the resulting N:P ratio was 4.89 (higher than the SM). P is important for the synthesis of phospholipids and nucleic acids in microalgae [28].

    Table 1.  Chemical and physical characterization of second cheese whey (SCW) used for the growth of G.sulphuraria.
    Parameters Value
    pH 5.9 ± 0.2
    Ash (g L−1) 5.5 ± 0.5
    Dry weight (g L−1) 58.4 ± 0.6
    Volatile solids (g L−1) 53.3 ± 0.4
    NH4-N (mg L−1) 25 ± 1.3
    NO3-N (mg L−1) 80 ± 1.2
    N total (g L−1) 0.59 ± 0.1
    Free amino nitrogen (mg L−1) 231.14 ± 16.4
    P total (mg L−1) 96.1 ± 0.4
    Reducing sugars (g L−1) 43.4 ± 0.9
    Protein content (g L−1) 3.1 ± 0.6
    Note: Values expressed as mean ± SD (n=3).

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    The nutrient content of the SCW was not so far from the SM. Therefore, it was possible to test this dairy by-product for the cultivation of G. sulphuraria.

    The growth curves of G. sulphuraria grown using SCW are reported in Figure 1. The curves have been separated to better understand the growth performance on the various formulation of SCW medium with controls at the same amount of RS. No significant differences were observed for microalgae cultivated with scotta at 1% in RS respect to the relative control (Figure 1a). However the biomass obtained at 1% in RS is lower respect to the control.

    Figure 1.  Growth curves (mean ± SD) of Galdieria sulphuraria growth with four formulation of second cheese whey medium diluted at 1.0% (a) 1.5% (b), 2.0% (c) and 2.5% (d) concentration in reducing sugars (RS). The controls refer to standard media with the same percentage of reducing sugars.

    For samples at 1.5% in RS, a difference can be observed (in terms of concentration) after 12 days of cultivation (5.1 g L−1 for the control and 4.2 g L−1 for the SCW samples), and the overall growth performance was lower respect to the control. However, these differences were not significant (Figure 1b). With SCW medium at 2% RS instead, G. sulphuraria showed a longer lag phase respect to the control, reaching only at 10th day a concentration similar to the relative control. At SCW 2.5% RS, microalgae showed worst growth performance compared to the samples at 2.0% RS, with a longer lag phase respect to the control, and reaching the maximum concentration after 11 days of cultivation. The biomass obtained for SCW sample at 2.5% RS was significantly lower than the control (Figure 1d).

    However, for SCW medium at 2.5% RS, the productivity is lower to the sample at 2.0%, this can be explained by an inhibition effect of higher concentration of "scotta". In fact, in the work of Zimermann et al., (2020) high concentrations of whey permeate resulted toxic for the growth of G. sulphuraria, and the author used concentration below the 40% (v/v).

    To further define the growth kinetics of G. sulphuraria in SCW media, the growth rate, Xmax and μmax were calculated and reported in Table 2. After 4 days of cultivation, the growth rates of the controls are higher than the samples with SCW, except for the sample at SCW 1.5% RS. At 7th day, significant differences between the controls and the SCW samples are reported for the samples at 2 and 2.5% RS, denoting the longer lag phase reported for the culture with higher concentration of scotta (Figure 1c, d). In particular for the samples at 2.5% RS the difference is more pronounced.

    Table 2.  Specific and maximum growth rate (µmax), maximum concentration reached (Xmax) and cultivation time for maximum concentration (tXmax) of G.sulphuraria growth on different concentrations of SCW diluted from 1.0 to 2.5% in reducing sugars (RS).
    Sample µ (4 d) µ (7 d) µ max Xmax (g L−1) tXmax (d)
    Control 1.0% RS 0.305 ± 0.03 0.202 ± 0.01 0.174 ± 0.02 4.09 ± 0.21 8
    SCW 1.0% RS 0.285 ± 0.01 0.191 ± 0.01 0.191 ± 0.01 3.87 ± 0.17 7
    Control 1.5% RS 0.279 ± 0.02 0.219 ± 0.02 0.203 ± 0.03 5.15 ± 0.32 8
    SCW 1.5% RS 0.287 ± 0.02 0.203 ± 0.01 0.186 ± 0.02 4.35 ± 0.19 9
    Control 2.0% RS 0.325 ± 0.03 0.256 ± 0.02 0.199 ± 0.03 6.10 ± 0.29 8
    SCW 2.0% RS 0.250 ± 0.02 0.212 ± 0.02 0.159 ± 0.03 6.02 ± 0.40 11
    Control 2.5% RS 0.345 ± 0.02 0.259 ± 0.02 0.209 ± 0.01 6.89 ± 0.28 9
    SCW 2.5% RS 0.259 ± 0.01 0.165 ± 0.01 0.147 ± 0.02 5.33 ± 0.21 11
    Note: Values expressed as mean ± SD (n=3).

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    Both the samples at 2.0 and 2.5% RS reached the maximum biomass concentration after 11 days. This can be explained by a necessity of the microalga to adapt to the new media, which is something already known for this type of biomass [7]. About the uptake of lactose by G. sulphuraria, instead, some studies reported an utilization of this disaccharide by the alga [5,29], showing that lactose can be actually transported in to the cell by a low-affinity transport system. However it is actually not clear if lactose uptake is slower than the glucose uptake for G. sulphuraria.

    The low free nitrogen present in SCW forced G. sulphuraria to assimilate organic nitrogen from peptides aminoacids (I.e. FAN) residual after pre-treatments. In Figure 2 is reported the FAN content on the supernatant collected after biomass harvesting. The FAN content is almost depleted in SCW at 1% RS after 12 days of cultivation. At 2.5% RS instead, the residual content of FAN is still high after cultivation. At 2.0% the residual FAN concentration is the same of the sample at 1.5%, proving a better uptake of nitrogen in that condition.

    Figure 2.  Free amino nitrogen content (mean ± SD) of residual water after centrifugation of biomass, sampled at beginning (t0), four days (t4) and twelve days (t12) of cultivation.

    Other studies reported an assimilation of nitrogen from aminoacids and peptides present in growth medium by Cyanidium caldarium (formerly named Galdieria sulphuraria), but with a slower uptake [30]. This, combined to the presence of lactose as only carbon source, can explain the slower productivity compared to the controls. However, the SCW media formulation resulted interesting for the growth of G. sulphuraria, but an optimization of the medium is required to increase the biomass production.

    The proximal composition of G. sulphuraria growth on various SCW formulations is reported in Figure 3. Carbohydrates results the principal biochemical component of the microalga, in agreement with other authors [7,31,32]. In general, the amount of carbohydrates increases with increasing concentration of SCW (in terms of RS); while the amount of proteins is lowered when the concentration of SCW increases. It is reported that heterotrophic cultures of G. sulphuraria accumulate carbohydrates (principally glycogen) when more glucose or reducing sugars are added to the culture media [33], which explains the higher content of carbohydrates in the samples with an higher percentage of RS. The α-glucan (glycogen) is the primary form of carbohydrates accumulation in G.sulphuraria. Moreover, a natural glycerol glycoside (named "floridoside") is an interesting molecule found in this red alga due to its therapeutic properties (bone formation promotion and modulation of immune system) [34].

    Figure 3.  Chemical composition of Galdieria sulphuraria grown with SCW media diluted at four concentration of reducing sugars (1–2.5%) respect to the standard medium (C) with the same percentage of reducing sugars (error bars refers to SD). Values are expressed as percentage of dry weight.

    The protein content showed no significant differences between the SCW samples and the relative controls, but the SCW 2.5% in RS showed a protein content lower than the control (26% vs. 32%). The protein content of SCW samples was in line with another study [32] that used standard culture conditions.

    The lipids content was about 10% of DW, without significant differences between the samples. This value is higher than others found in literature [7,31]. However, on the fatty acids profile (Table 3) it can be observed that there are significant differences between the samples growth on SCW media and the relative control in standard conditions. The control showed a greater concentration of oleic acid (up to 78% of Total fatty acids, TFA) respect to the SCW samples (30–60% of TFA) which showed instead a greater concentration in saturated fatty acids (SFA). The SFA content of SCW samples is significantly higher than the control, in agreement with another study on G. sulphuraria growth in heterotrophic conditions [33]. The amount of oleic acid obtained in the control is higher than another reported in literature for G.sulphuraria [31], while the amount of linoleic acid (C18:2) is lower.

    Table 3.  Fatty acids profile (g/100g) on the lipids extract from G.sulphuraria grown on SCW diluted at different reducing sugars (RS) concentrations (1–2.5%).
    Fatty acids Control SCW 1.0% SCW 1.5% SCW 2.0% SCW2.5%
    C14:0 0.21 ± 0.07a 4.54 ± 1.10d 2.29 ± 0.37c 1.6 ± 0.21b 1.76 ± 0.42b
    C16:0 7.01 ± 1.02a 26.26 ± 2.45b 24.96 ± 1.24b 18.89 ± 2.29c 20.13 ± 1.93b, c
    C18:0 5.1 ± 1.13b 10.8 ± 2.02a 12.85 ± 1.41a 5.96 ± 1.04b 7.31 ± 0.56b
    Σ SFA 12.32 41.6 40.1 26.45 28.2
    C16:1 0.11 ± 0.02b 1.01 ± 0.24a 0.53 ± 0.19 a, b 0.35 ± 0.11b 1.14 ± 0.21a
    C18:1 77.84 ± 3.42c 41.08 ± 5.45a, b 34.9 ± 2.41a, b 55.88 ± 3.57d 49.63 ± 2.49b
    Σ MUFAs 77.95 42.09 35.43 56.23 50.77
    C18:2 6.23 ± 1.13a 5.72 ± 1.25a 9.82 ± 1.44b 6.05 ± 1.93a 5.67 ± 1.26a
    C18:3 1.98 ± 0.26c 4.24 ± 1.67a 10.53 ± 2.18b 8.43 ± 0.65a, b 6.08 ± 0.41a
    Σ PUFAs 8.21 9.96 20.35 14.48 11.75

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    Values are expressed as means ± SD (n = 3). SFA = saturated fatty acids; MUFA = monounsaturated fatty acids; PUFA = polyunsaturated fatty acids. Values followed by different letters on the same line are significantly different (P < 0.05).

    Comparing the data of this study to the work of Graziani et al., (2013), the amount of α-linolenic acid (C18:3) of the samples growth in SCW is 2–3 times higher, and 5 times greater for SCW at 1.5% in RS. This can be explained by a difference in the culture conditions and growth medium of G. sulphuraria. In fact, in the work of Graziani et al. (2013) the microalga was cultivated at 36 ℃, while in this test at 27 ℃.

    Moreover, an interesting result was obtained in terms of polyunsaturated fatty acids (PUFA) concentration, which was higher in the sample SCW 1.5% RS respect to the control (20% vs 8% of the control). The composition and characteristics of lipids and fatty acids of G.sulphuraria are regulated by the growth conditions [33]. In our case, the addiction of SCW in the growth media seems to affect the cells metabolism, stimulating the elongation and unsaturation of acyl chains in the algae cells, especially in the sample at 1.5% in RS. However, further studies are required to understand the regulation mechanisms of metabolic flow of fatty acids in G. sulphuraria.

    The SCW formulation with higher biomass productivity is the one at 2.0% in RS, with 6.05 g L−1 of DW. For that reason, the optimization has been performed on this formulated medium.

    Central Composite Design (CCD) was used to optimize the utilization of SCW media with the supplementation of organic carbon (glucose) and nitrogen (in forms of ((NH4)2SO4). To the best of our knowledge, this is the first study to apply CCD for the biomass optimization of G. sulphuraria with a food waste.

    The response surface design employed gave 14 combinations of selected nutrients (glucose and ammonium sulfate). In Table 4 is reported the design and the results with the responses. Biomass concentration (DW) was used as response, and was calculated at log phase (12 days). The significance of the model and its second-order Eq 2, derived from the multiple regression analysis of the data, was tested by analysis of variance (ANOVA) (Table 5) and P-value lower than 0.05 was considered significant in the analysis. The model fit is also expressed with coefficient of determination (R2) which was 0.985, indicating that 98.5% of the variability in the Y (response) could be explained by the model. The P-value of the model was (P < 0.005) which implied that the model was significant, and also the lack of fit is non-significant (P > 0.05) proving the validity of the model. The regression equation obtained from the model has been shown in Eq 3.

    Y=6.393+0.2895X1+9.269X20.01887X1X17.073X2X2+0.0588X1X2 (3)
    Table 4.  Growth optimization of SCW media with supplementation of glucose and (NH4)2SO4 for Galdieria sulphuraria using Central Composite Design (CCD).
    Run Factor Assignment Biomass (Y)
    X1 (Glucose) X2 ((NH4)2SO4) Experimental value (g L−1) Predicted value (g L−1)
    1 0 0 9.92 10.06
    2 0 −1 7.45 7.27
    3 0 0 10.24 10.06
    4 1 0 10.18 10.21
    5 −1 0 9.22 8.87
    6 0 0 10.01 10.06
    7 0 1 10.71 10.42
    8 −1 1 9.10 9.28
    9 1 −1 7.39 7.21
    10 0 0 10.22 10.06
    11 1 1 10.65 10.79
    12 −1 −1 6.11 6.41
    13 0 0 9.69 10.06
    14 0 0 10.19 10.06

     | Show Table
    DownLoad: CSV
    Table 5.  Analysis of variance for G.sulphuraria biomass optimization using coded values and regression equation.
    Source DFa Adj SSb Adj MSc F-Value P-Value
    Model 6 24.2291 4.0382 97.73 0.001
    Glucose (X1) 1 2.3188 2.3188 56.12 0.013
    (NH4)2SO4 (X2) 1 14.6328 14.6328 354.14 0.005
    Linear 2 16.9516 8.4758 205.13 0.001
    Square 2 5.9442 2.9721 71.93 0.000
    X1*X1 1 0.6067 0.6067 14.68 0.006
    X2*X2 1 3.4927 3.4927 84.53 0.000
    X1*X2 1 0.0552 0.0552 1.34 0.286
    Error 7 0.2892 0.0413
    Lack-of-Fit 3 0.0816 0.0272 0.52 0.689
    Pure Error 4 0.2077 0.0519
    Total 13 24.5184
    Note: R2 = 98.51 (aDF, degree of freedom; bSS, sum of squares; cMS, mean squares; F, probability of distribution; P, probability).

     | Show Table
    DownLoad: CSV

    Where, X1 represent the amount of glucose added and X2 the (NH4)2SO4 added (in g L−1) to the formulated SCW media.

    Coded values; X1 glucose, X2 (NH4)2SO4. The three levels (−1, 0 and +1) set for glucose were 0, 5 and 10 g L−1 supplemented to the SCW media, while for (NH4)2SO4 was 0, 0.4 and 0.8 g L−1 respectively.

    Based on ANOVA analysis, both the factors showed significant impact on the growth of G. sulphuraria. The most significant factor was ammonium sulfate (P = 0.005) followed by glucose (P = 0.013). In the run n. 12, without the addiction of glucose or nitrogen, the biomass obtained was 6.11 g L−1, while the highest DW value was obtained in run 7 (10.65 g L−1) with a combination of 0.8 g L−1 of (NH4)2SO4 and 5 g L−1 of glucose added. The predicted values are also reported, which are very similar to the experimental values, proving the validity of the model.

    The supplementation of inorganic nitrogen source, lead to an increase of biomass yield by 58%. In that way, is possible to obtain a good productivity using SCW as principal nutrient source for G. sulphuraria cultivation.

    The biomass obtained in optimized condition is lower than other studies [7,32] where a concentration higher than 12 g L−1 was obtained. However different factors should be taken into account, such as the inoculum concentration and the culture conditions (I.e. temperature). Other studies reported a lower productivity than our work when cultivating G. sulphuraria on waste material [12]. Moreover, in a recent study where G. sulphuraria was grown on fruit-salad wastewater, micronutrients and ammonia where added to promote the complete consumption of the nutrients present in the effluent [11]. This is a similar case as SCW media utilization. An interesting way to exploit the nutrients presents in this type of by-product would be the blend with other food waste (I.e. molasses as carbon source). In that way the supplementation with glucose or ammonium sulphate could be not necessary.

    SCW can actually be used as alternative and sustainable medium for the cultivation of Galdieria sulphuraria. The suitability of this food waste has been tested at different concentrations and compared with SM. When diluted at 2.0% in RS the biomass obtained was higher than the other formulated media. Biochemical composition of biomass reported slightly difference between the algae growth in standard condition respect to the algae growth with SCW media. Fatty acids profile was affected by the new SCW media, obtaining a higher PUFA content respect to the SM. The biomass optimization with SCW media supplemented with glucose and nitrogen led to a good biomass production, proving that this dairy waste can be used as nutrient source for the cultivation of this extremophile red alga. With these results, it is possible to evaluate new economically and environmentally sustainable biotechnological process, using low cost food effluents for the cultivation of G. sulphuraria.

    The authors have no conflict of interest to declare

    The work was supported by the grant "Bioscience" - PON03PE_00060_3 financed by Fondo Europeo di Sviluppo Regionale EU-FESR, Ministero dell'Istruzione dell'Università e della Ricerca MIUR, Ministero dello sviluppo economico MISE and SUSPUFA project, part of the ERA-Net SUSFOOD2 with funding provided by national/ regional sources (Ministero dell'Istruzione dell'Università e della Ricerca MIUR) and co-funding by the European Union´s Horizon 2020 research and innovation programme.



    [1] Secchi N, Giunta D, Pretti L, et al. (2012) Bioconversion of ovine scotta into lactic acid with pure and mixed cultures of lactic acid bacteria. J Ind Microbiol Biotechnol.
    [2] PANESAR P, KENNEDY J, GANDHI D, et al. (2007) Bioutilisation of whey for lactic acid production. Food Chem 105: 1-14. doi: 10.1016/j.foodchem.2007.03.035
    [3] Sansonetti S, Curcio S, Calabrò V, et al. (2009) Bio-ethanol production by fermentation of ricotta cheese whey as an effective alternative non-vegetable source. Biomass and Bioenergy 33: 1687-1692. doi: 10.1016/j.biombioe.2009.09.002
    [4] Tsolcha ON, Tekerlekopoulou AG, Akratos CS, et al. (2016) Treatment of second cheese whey effluents using a Choricystis -based system with simultaneous lipid production. J Chem Technol Biotechnol 91: 2349-2359. doi: 10.1002/jctb.4829
    [5] Zimermann JD ar. F, Sydney EB, Cerri ML, et al. (2020) Growth kinetics, phenolic compounds profile and pigments analysis of Galdieria sulphuraria cultivated in whey permeate in shake-flasks and stirred-tank bioreactor. J Water Process Eng 38: 101598. doi: 10.1016/j.jwpe.2020.101598
    [6] Russo GL, Langellotti AL, Oliviero M, et al. (2021) Sustainable production of food grade omega-3 oil using aquatic protists: Reliability and future horizons. N Biotechnol 62: 32-39. doi: 10.1016/j.nbt.2021.01.006
    [7] Massa M, Buono S, Langellotti AL, et al. (2019) Biochemical composition and in vitro digestibility of Galdieria sulphuraria grown on spent cherry-brine liquid. N Biotechnol 53: 9-15. doi: 10.1016/j.nbt.2019.06.003
    [8] Girard J-M, Roy M-L, Hafsa M Ben, et al. (2014) Mixotrophic cultivation of green microalgae Scenedesmus obliquus on cheese whey permeate for biodiesel production. Algal Res 5: 241-248. doi: 10.1016/j.algal.2014.03.002
    [9] Abreu AP, Fernandes B, Vicente AA, et al. (2012) Mixotrophic cultivation of Chlorella vulgaris using industrial dairy waste as organic carbon source. Bioresour Technol 118: 61-66. doi: 10.1016/j.biortech.2012.05.055
    [10] Ende SSW, Noke A (2019) Heterotrophic microalgae production on food waste and by-products. J Appl Phycol 31: 1565-1571. doi: 10.1007/s10811-018-1697-6
    [11] Scherhag P, Ackermann J (2021) Removal of sugars in wastewater from food production through heterotrophic growth of Galdieria sulphuraria. Eng Life Sci 21: 233-241. doi: 10.1002/elsc.202000075
    [12] Pan S, Dixon KL, Nawaz T, et al. (2021) Evaluation of Galdieria sulphuraria for nitrogen removal and biomass production from raw landfill leachate. Algal Res 54: 102183. doi: 10.1016/j.algal.2021.102183
    [13] Moon M, Mishra SK, Kim CW, et al. (2014) Isolation and characterization of thermostable phycocyanin from Galdieria sulphuraria. Korean J Chem Eng.
    [14] Allen MM (1968) SIMPLE CONDITIONS FOR GROWTH OF UNICELLULAR BLUE-GREEN ALGAE ON PLATES. J Phycol 4: 1-4.
    [15] Miller GL (1959) Use of Dinitrosalicylic Acid Reagent for Determination of Reducing Sugar. Anal Chem 31: 426-428. doi: 10.1021/ac60147a030
    [16] Bradford MM (1976) A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem 72: 248-254. doi: 10.1016/0003-2697(76)90527-3
    [17] Adams VD (2017) Water and Wastewater Examination Manual.
    [18] Lie S (1973) THE EBC-NINHYDRIN METHOD FOR DETERMINATION OF FREE ALPHA AMINO NITROGEN. J Inst Brew 79: 37-41. doi: 10.1002/j.2050-0416.1973.tb03495.x
    [19] Nazir Y, Shuib S, Kalil MS, et al. (2018) Optimization of Culture Conditions for Enhanced Growth, Lipid and Docosahexaenoic Acid (DHA) Production of Aurantiochytrium SW1 by Response Surface Methodology. Sci Rep 8: 8909. doi: 10.1038/s41598-018-27309-0
    [20] DuBois M, Gilles KA, Hamilton JK, et al. (1956) Colorimetric Method for Determination of Sugars and Related Substances. Anal Chem 28: 350-356. doi: 10.1021/ac60111a017
    [21] Bligh EG, Dyer WJ (1959) A RAPID METHOD OF TOTAL LIPID EXTRACTION AND PURIFICATION. Can J Biochem Physiol 37: 911-917. doi: 10.1139/o59-099
    [22] AOAC (2005) Official Methods of Analysis of AOAC International.
    [23] Tsolcha ON, Tekerlekopoulou AG, Akratos CS, et al. (2016) Treatment of second cheese whey effluents using a Choricystis -based system with simultaneous lipid production. J Chem Technol Biotechnol 91: 2349-2359. doi: 10.1002/jctb.4829
    [24] Oesterhelt C, Schnarrenberger C, Gross W (1999) Characterization of a sugar/polyol uptake system in the red alga Galdieria sulphuraria. Eur J Phycol 34: 271-277. doi: 10.1080/09670269910001736322
    [25] Gross W, Schnarrenberger C (1995) Heterotrophic Growth of Two Strains of the Acido-Thermophilic Red Alga Galdieria sulphuraria. Plant Cell Physiol.
    [26] Rigano C, Fuggi A, Rigano VDM, et al. (1976) Studies on utilization of 2-ketoglutarate, glutamate and other amino acids by the unicellular alga Cyanidium caldarium. Arch Microbiol 107: 133-138. doi: 10.1007/BF00446832
    [27] Ho S-H, Li P-J, Liu C-C, et al. (2013) Bioprocess development on microalgae-based CO2 fixation and bioethanol production using Scenedesmus obliquus CNW-N. Bioresour Technol 145: 142-149. doi: 10.1016/j.biortech.2013.02.119
    [28] Wen Z-Y, Chen F (2003) Heterotrophic production of eicosapentaenoic acid by microalgae. Biotechnol Adv 21: 273-294. doi: 10.1016/S0734-9750(03)00051-X
    [29] Tischendorf G, Oesterhelt C, Hoffmann S, et al. (2007) Ultrastructure and enzyme complement of proplastids from heterotrophically grown cells of the red alga Galdieria sulphuraria. Eur J Phycol 42: 243-251. doi: 10.1080/09670260701437642
    [30] Sloth JK, Jensen HC, Pleissner D, et al. (2017) Growth and phycocyanin synthesis in the heterotrophic microalga Galdieria sulphuraria on substrates made of food waste from restaurants and bakeries. Bioresour Technol 238: 296-305. doi: 10.1016/j.biortech.2017.04.043
    [31] Graziani G, Schiavo S, Nicolai MA, et al. (2013) Microalgae as human food: chemical and nutritional characteristics of the thermo-acidophilic microalga Galdieria sulphuraria. Food Funct 4: 144-152. doi: 10.1039/C2FO30198A
    [32] Wan M, Wang Z, Zhang Z, et al. (2016) A novel paradigm for the high-efficient production of phycocyanin from Galdieria sulphuraria. Bioresour Technol 218: 272-278. doi: 10.1016/j.biortech.2016.06.045
    [33] Sakurai T, Aoki M, Ju X, et al. (2016) Profiling of lipid and glycogen accumulations under different growth conditions in the sulfothermophilic red alga Galdieria sulphuraria. Bioresour Technol 200: 861-866. doi: 10.1016/j.biortech.2015.11.014
    [34] Martinez-Garcia M, van der Maarel MJEC (2016) Floridoside production by the red microalga Galdieria sulphuraria under different conditions of growth and osmotic stress. AMB Express 6: 71. doi: 10.1186/s13568-016-0244-6
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