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. 2017 Jul 13;26(4):969–977. doi: 10.1007/s10068-017-0123-1

Saccharomyces boulardii: Optimization of simultaneous saccharification and fermentation of cell production in organic and conventional apple substrate pulp

Fernanda Silva Farinazzo 1,, Eduardo Silva Farinazzo 2, Wilma Aparecida Spinosa 1, Sandra Garcia 1
PMCID: PMC6049540  PMID: 30263626

Abstract

A face-centered factorial design was used to study the influence of temperature, cellulase, and pectinase concentration on the production of Saccharomyces boulardii cells during simultaneous saccharification and fermentation of organic and conventional apple substrate pulp. The effects of the variables fermentation temperature (25–35 °C), pectinase concentration (5–25 μL/100 g), and cellulase concentration (4–8 μL/100 g) were analyzed by multiple regression and polynomial models of second order, providing the ideal conditions for yeast cultivation. Cellular production of apple substrates was expressed in log CFU/mL. The optimum condition for temperature was 27.5 °C, and 20 and 5 μL/100 g for pectinase and 8 and 7 μL/100 g for cellulase concentrations for organic and conventional apple pulp, respectively. The observed viability values were in agreement with the predicted values of 8.352 log CFU/mL (organic) and 8.317 log CFU/mL (conventional) apple pulps, thus proving the effectiveness of the models.

Keywords: Probiotic production, SSF, Cellulase, Pectinase, Malus domestica

Introduction

The probiotic yeast, Saccharomyces boulardii, has great therapeutic potential. Its efficacy against gastrointestinal diseases has been associated with the fact that they block cell signaling molecules that promote intestinal inflammation. They also maintain cell physiology and interfere with attachment of pathogens, interacting with normal microbiota and acting as immune regulators [13].

As it is Saccharomyces spp., the fermentation process leads to the production of alcohol, which is considered the major metabolite. The formation of secondary compounds through other metabolic pathways for growth and cellular mass production is also reported [4]. The addition of oxygen, an important factor in the synthesis of lipid constituents of the cell membrane of the yeast cell mass, promotes greater synthesis [5].

Soil quality, climate, and crop nutrition are factors that can impact directly on the characteristics of the fruit [6, 7]. According to Knight and Newman [8], organic cultivation is gaining wide recognition for being more sustainable. Some studies reported that vegetables grown on an organic system contain higher levels of vitamins, minerals, and bioactive compounds than conventional cultivation [911].

Apple also has other carbohydrates such as pectin and cellulose, which provide viscosity to the fruit pulp. The synergistic effect of the combination of cellulase and pectinase is a decisive part in the enzymatic treatment for the liquefying process. The enzymatic hydrolysis of cell walls increases the reducing sugar content, total soluble solids, galacturonic acid, and titratable acidity of the pulp, generating a product with low viscosity [1214].

When simultaneous saccharification and fermentation takes place, enzymes hydrolyze polysaccharides to sugars, which are immediately consumed by the yeasts [15]. This process requires an ideal temperature condition for the enzymes and yeasts as well as an enzyme concentration sufficient to release the sugars [14, 16].

The objective of this study was to check the influence of temperature and concentrations of cellulase and pectinase on the production of Saccharomyces boulardii cells during simultaneous saccharification and fermentation in conventional and organic apple pulp substrates using factorial design with face-centered star points (α = ±1).

Materials and methods

Raw material

Raw materials tested as a carbon source in the experiments were apples grown in organic (ORG) and conventional (CONV) systems. The cultivar “Fuji” industrial standard (season 2014/2015) purchased from Urupema region producers, Santa Catarina (Brazil) were used. The apples were washed, sanitized, and crushed in a processor (Walita Master RI7633, Brazil) with 5 g/L of ascorbic acid to prevent browning of the fruit. After that, the obtained apple pulp was packed in polythene bags and stored at −20 °C.

Enzymes

The enzymes Celluclast® 1.5 L (cellulase) and Novozym® 33095 (pectinase) were provided by NOVOZYMES®, Denmark. The Celluclast® 1.5 L, according to the manufacturer, has enzymatic activity of 700 EGU/g (endo-glucanase units/g), which is considered an endo-glucanase that hydrolyzes the (1,4)-β-d-glucosidic bonds in cellobiose and glucose. The optimum conditions of the enzyme activity according to the International Union of Pure and Analytical Chemistry (IUPAC) occurs at pH 4.8 and 50 °C [17].

Novozym® 33095 has an enzyme activity of 10,000 PECTU/mL (pectin transeliminase units/mL) and its main component is pectin lyase, which catalyzes the cleavage of bonds (1,4)-α-d-galacturonan methyl ester, acting from 15 to 60 °C and pH 3.0–5.0.

Characterization of organic and conventional apple substrates

The characterization of organic and conventional apples was conducted through the determination of protein, moisture, pH, titratable acidity, and total soluble solids, according to AOAC [18]. The minerals were determined in a plasma spectrophotometer induced by argon (ICP/OES, Optima 8300—Perkin Elmer®, USA) and the reducing and total sugars were determined by UV–Vis (Genesys 10S UV–Vis, Thermos ScientificTM) according to the methodologies described by Somogyi [19] and Dubois et al. [20], respectively.

Result values (triplicates) were subjected to Tukey’s test at 5% significance level using Statistica software version 10.0 for comparing possible differences in the composition of organic and conventional apple pulp substrates.

Microorganism and inoculum preparation

The culture of Saccharomyces boulardii was obtained from commercial products in a lyophilized form (Floratil® Merck S.A. Brazil). Each capsule of 100 mg contained at least 0.5 × 109 cells of S. boulardii-17.

Lyophilized yeast was reactivated in 50 mL YPD broth (yeast extract 10 g/L; bacteriological peptone, 20 g/L; dextrose, 20 g/L) previously sterilized by autoclaving (121 °C for 20 min) and maintained at 30 °C, 120 rpm for 24 h on a rotatory shaker incubator (CT-712 Cientec, Brazil). Results of the preliminary tests indicated that after 24 h, the microorganisms were in the stationary phase of proliferation.

Simultaneous saccharification and fermentation (SSF)

SSF was conducted by cell mass inoculation (S. boulardii) in the conventional or organic apple substrate in the presence of enzymes Celluclast® 1.5 L and Novozym® 33095.

The yeast biomass obtained after incubation in YPD broth (100 g/L) was centrifuged at 3000×g for 15 min (Eppendorf 5804 R, Germany) and was inoculated into vials containing 100 g of apple pulp that is previously pretreated at 80 °C for 20 min. The initial count at zero time for both the organic and conventional substrates was about 6 log CFU/mL.

The optimization of the cellular production of S. boulardii (Table 1) was evaluated by means of three independent variables. The growth temperature values (X1) were preset at 25–35 °C for growth of S. boulardii according to the literature [21, 22]. The concentration of pectinase (X2) ranged from 5 to 25 μL/100 g, according to the manufacturer’s specifications (NOVOZYMES®, Denmark), and the concentration of cellulase (X3) varied from 4 to 8 μL/100 g.

Table 1.

Coded and real values and the response obtained by the application of a central composite design during SSF in organic (YORG) and conventional (YCONV) apples

Run order Process parameters Responses parameters
Levels, coded and real variables YORG YCONV
x1/X1 x2/X2 x3/X3
1 −1 (25) −1 (5) −1 (4) 8.237 ± 0.006 8.176 ± 0.001
2 −1 (25) −1 (5) 1 (8) 8.290 ± 0.001 8.279 ± 0.011
3 −1 (25) 1 (25) −1 (4) 8.217 ± 0.013 8.204 ± 0.013
4 −1 (25) 1 (25) 1 (8) 8.284 ± 0.017 8.190 ± 0.001
5 1 (35) −1 (5) −1 (4) 8.224 ± 0.020 8.051 ± 0.010
6 1 (35) −1 (5) 1 (8) 8.255 ± 0.001 8.161 ± 0.001
7 1 (35) 1 (25) −1 (4) 7.989 ± 0.011 8.097 ± 0.001
8 1 (35) 1 (25) 1 (8) 8.190 ± 0.001 8.011 ± 0.053
9 −1 (25) 0 (15) 0 (6) 8.306 ± 0.005 8.312 ± 0.011
10 1 (35) 0 (15) 0 (6) 8.114 ± 0.017 8.138 ± 0.024
11 0 (30) −1 (5) 0 (6) 8.267 ± 0.001 8.284 ± 0.017
12 0 (30) 1 (25) 0 (6) 8.243 ± 0.001 8.267 ± 0.001
13 0 (30) 0 (15) −1 (4) 8.224 ± 0.006 8.230 ± 0.001
14 0 (30) 0 (15) 1 (8) 8.347 ± 0.005 8.249 ± 0.006
15 0 (30) 0 (15) 0 (6) 8.322 ± 0.001 8.301 ± 0.021
16 0 (30) 0 (15) 0 (6) 8.322 ± 0.021 8.301 ± 0.001
17 0 (30) 0 (15) 0 (6) 8.301 ± 0.001 8.236 ± 0.006
18 0 (30) 0 (15) 0 (6) 8.337 ± 0.015 8.267 ± 0.001

x1/X1: temperature, codified/real (°C); x2/X2: concentration of pectinase, codified/real (μL/100 g substrate); x3/X3: concentration of cellulase encoded/real (μL/100 g substrate); YORG and YCONV: cell viability in log CFU/mL in fermented organic and conventional apple pulp, respectively. The randomization of codified data is generated by the Statistica software

Fermentation occurred in a shaker incubator at 120 rpm and different temperatures, according to the experimental design (Table 1). Samples were taken after 24 h of fermentation and viability of cells were counted in plates.

Determining the number of viable cells

The cell counts were taken after serial dilutions in 1 g/L sterile peptone water up to 10−8. Aliquots (100 µL) of the appropriate dilutions were plated on YPD agar and incubated at 30 °C for 24 h. The results are expressed as log CFU/mL.

Experimental design

For the optimization processes, a 23 factorial design with face-centered star points (α = ±1) and two repetitions of central points (total of 18 experiments) were selected. This design was chosen because the axial points are at the center of each face of the factorial space, requiring only three levels for each factor [23]. The levels of factors used are shown in Table 1, where (−1), (0), and (+1) indicate the low level of each factor, mid-level, and the high level, respectively.

The experimental data were designed using Statistica software version 10.0. A complete quadratic polynomial regression model was used to correlate the experimental data using the following equation:

Y=β0+i=1iβixi+i=1iβiixi2+i=1ij=i+1iβijxixj, 1

where Y is the cell viability response variable (log CFU/mL), xi are the factors of the process, including fermentation temperature and concentration of cellulase and pectinase, β0 is the compensation coefficient, βi are linear coefficients, βii are quadratic coefficients, and βij are interaction coefficients [24].

The polynomial equations established were used to map three-dimensional (3D) and two-dimensional (2D) surfaces in order to view the individual and interactive effects of the process when one of the parameters is set at its optimum value. The impact and meaning of each term (linear, quadratic, and interactions) in the regression equation was evaluated by analysis of variance (ANOVA).

Validation of optimal conditions and predictive model

Validation of optimized conditions and predictive models was tested using the ideal conditions provided. Results of experiments performed under optimal conditions of each substrate and the average experimental values were compared with the expected values to determine the validity of the models. The growth of S. boulardii in both apple substrates, organic and conventional, was compared by Tukey’s test at a 5% level of significance in order to check the interference of the substrate.

SSF characteristics during S. boulardii cell growth using ORG and CONV optimized media

The following characteristic variables of the SSF were calculated: Maximum concentration in a dry weight of the yeast, Xmax; substrate conversion factor in cells, YX/S; substrate consumption rate, dS/dt; rate of cell production, dX/dt and % saccharification = (final reducing sugar × 0.9/carbohydrate in the substrate) × 100.

Results and discussion

Characterization of raw material

The data obtained in the characterization of apple pulp must (Table 2) showed that the system of farming, organic and conventional, affects significantly (p < 0.05) in fruit characteristics. The organic apple had higher soluble solid concentration, acidity, total sugars, proteins, and minerals. The characteristics of the substrate are of great importance for the fermentation process; many of the components, including minerals, may positively or negatively influence the proliferation and cell growth [25].

Table 2.

Physical and chemical characteristics of dry apple pulp must edible parts (with peels) cultivated by organic (ORG) and conventional (CONV) methods

Composition of Fuji pulp apple*
ORG CONV
pH 3.515 ± 0.002a 3.640 ± 0.004a
g/100 g
Total soluble solids 17.376 ± 0.002ª 14.772 ± 0.063b
Moisture 86.240 ± 0.027b 88.342 ± 0.079a
Acidity in malic acid 0.532 ± 0.003a 0.424 ± 0.015b
Total Sugars 12.738 ± 0.148a 9.404 ± 0.361b
Reducing Sugars 9.537 ± 0.050a 8.512 ± 0.285a
Total Carbohydrates 13.282 ± 0.005a 11.355 ± 0.283b
Proteins 0.160 ± 0.005a 0.070 ± 0.010b
Ash 0.344 ± 0.007a 0.238 ± 0.010b
Micronutrients mg/kg
 Aluminum 10.390 ± 0.250ª 9.000 ± 0.008b
 Calcium 110.280 ± 0.200ª 104.150 ± 0.150b
 Magnesium 42.020 ± 0.020ª 38.301 ± 0.001b
 Nitrogen 256.000 ± 0.002a 112.000 ± 0.007b
 Phosphorus 233.650 ± 0.090ª 178.100 ± 0.100b
 Potassium 933.801 ± 0.033ª 713.700 ± 0.095b
 Sodium 217.200 ± 0.020ª 196.400 ± 0.050b
 Sulfur 26.450 ± 0.100ª 21.930 ± 0.010b

* Means in the same line followed by the same letter in a row are not significantly different (p < 0.05)

Saccharomyces boulardii requires a carbon source of chemical energy obtained by carbohydrates, especially sugars. Other micronutrients are also required, such as nitrogen, phosphorus, sulfur, potassium, magnesium, calcium, aluminum, sodium, and other trace elements that play important roles in cellular metabolism, essential for cell growth and multiplication [25].

According to Amarante et al. [26], the organic production system improves the physical, chemical, and biological soil properties when compared to conventional production system, which needs constant fertilization. The organic production system enables more homogeneous and integrated soil, directly influencing the quality of the fruits.

Face-centered central composite design to optimize parameters in the production of S. boulardii by SSF

The responses obtained from the experimental data for cell viability during SSF of organic (YORG) and conventional (YCONV) apples are shown in Table 1.

The experimental data (Table 1) were used to develop a quadratic polynomial regression with linear and quadratic terms. The mathematical statistical models represent the response function equivalent to Eqs. 2 and 3, organic and conventional, respectively. The significant terms at 5% are shown with an asterisk (*)

YORG=8.301±0.016-0.056±0.056*x1-0.035±0.013*x2+0.048±0.013*x3-0.072±0.025*x12-0.027±0.025x22+0.004±0.025x32-0.034±0.014*x1x2+0.014±0.014x1x2+0.023±0.014x2x3 2
YCONV=8.284±0.010-0.070±0.008*x1-0.018±0.008x2+0.013±0.008x3-0.067±0.015*x12-0.016±0.015x22-0.052±0.015*x32-0.006±0.009x1x2-0.008±0.009x1x3-0.039±0.009*x2x3. 3

Equations (2) and (3) demonstrated that linear and quadratic temperature values (x1) were the only significant values (p < 0.05) in both models. For the ORG model, linear x1 presented a p = 0.0013 and quadratic of p = 0.0042, and for CONV model, linear x1 presented a p = 0.0055 and quadratic p = 0.0372.

The interactions x1 and pectinase concentration (x2) were significant (p = 0.0074) in the ORG model and the interaction x2 and cellulase concentration (x3) was significant (p = 0.0373) in the CONV model; this means that the main effects (x1, x2, and x3) cannot be evaluated separately.

All significant terms had negative coefficients, except for linear x3 in the model for the organic apple pulp. The negative coefficient showed that with increasing pectinase concentration and temperature, the production of S. boulardii cells decreased, which is different for cellulase, whose coefficient was positive. The signal and the value of the quantitative effect represent the trend and magnitude of the influence on the response, respectively [27, 28].

To verify the adequacy and fit of the developed regression equations, ANOVA was performed. For both SSF in the organic and conventional apple substrates, the developed models were significant at a 5% probability level.

The non-significant terms were maintained in the model, because when they were removed, there was a reduction in the value of R2. The regression models were able to explain the values observed in 89 and 96% (R2) for the production of S. boulardii cells in organic and conventional apples, respectively. It was also reported that both models were significant (p < 0.05) since the values of F calculated in ORG (F cal = 6.466) and CONV (F cal = 16.522) were higher than F tabulated (F tab = 3.39).

Lack of fit was significant (p = 0.0363) for organic apples only, suggesting that the model does not accurately fit to the data. However, Waszczynskyj et al. [29] suggested that the test of lack of fit may be considered irrelevant when the mean square experimental error is low (MS E = 0.0002), which occurred in this study, confirming the validity of the predictive analytics model.

The response surfaces were generated in order to optimize the process. For each 3D surface response curve, a 2D contour corresponding curve was also constructed in order to express an infinite number of points between two independent variables, wherein the color level reflects the different responses to a concentration of S. boulardii.

Figure 1 shows the interactive effect of temperature and pectinase concentration on the cellular concentration of S. boulardii during SSF in organic (A) and conventional (B) apples. The regions with high concentrations of cells were near 28 °C, 15 μL/100 g for (A), and 5 μL/100 g for (B) revealing that increasing the temperature and the pectinase concentration at an optimum level of cellulase does not favor the growth of the yeasts studied.

Fig. 1.

Fig. 1

Response surface 3D and 2D contour plots. S. boulardii cells (log CFU/mL) during SSF in organic (A) and conventional (B) apples, according to temperature (X1) and the pectinase concentration (X2), when fixed cellulase concentration (X3) at its optimum point

As the pH values of both apples were about 3.5 (Table 2), which were within the range of activity of the enzyme pectinase, and the temperature was in an optimum range, probably the best enzyme/substrate ratio was observed in these conditions, increasing the fluidity of the must. The enzyme Novozym® 33095 degraded pectin polymers directly by β-elimination mechanism that resulted in the formation of 4,5-unsaturated oligogalacturonides. The consequence was an increase in juice extraction, lower viscosity of the apple pulp, and a reduced quantity of waste pomace [30, 31].

However, the temperature effect was more significant in the model than the effect of pectinase concentration. As both linear and quadratic temperature terms were significant (p < 0.05) in each substrates and the quadratic term has a negative sign, a maximum is observed within the range studied (Fig. 1). According to Pardo et al. [32], the best biomass production of S. boulardii in shake flasks occurred at 28 °C, with a production of 8.462 log cel/mL; these values were very close to those obtained in this study, because between 25 and 30 °C, the cell production was more than 8.340 ± 0.020 log CFU/mL (YORG) and 8.290 ± 0.020 log CFU/mL (YCONV) (Fig. 1). This suggests that in this temperature range, the yeasts found better conditions for cellular multiplication.

Figure 2 shows the effect of the interaction between temperature and concentration of cellulase on the cell concentration of S. boulardii during SSF in organic (A) and conventional (B) apples at the optimal pectinase concentration. In both (A) and (B) cases, the optimum growth of the yeast corresponded to 6 and 8 μL/100 g for cellulase enzyme and T ≈ 28 °C.

Fig. 2.

Fig. 2

Response surface 3D and 2D contour plots. S. boulardii cells (log CFU/mL) during SSF in organic (A) and conventional (B) apples, according to temperature (X1) and the celullase concentration (X3), when fixed pectinase concentration (X2) at its optimum point

The enzyme Celluclast® 1.5 L, even under unfavorable conditions of pH and temperature, proved to be significantly efficient in the SSF process (Eq. 1). The endoglucanases promoted hydrolysis of internal cellulose chains producing oligosaccharide, cellobiose and glucose [33]. The increase in the concentration of cellulase to the maximum level, probably caused release of more glucose units, which became available to the yeast during the fermentation process.

The effects of the interaction of cellulase and pectinase addition, when setting the temperature at the optimum point are indicated in Fig. 3. In conventional apple pulp, the 2D contour plot as well as the 3D response surface reiterated the tendency of increased production of yeast biomass when cellulase concentration was higher or close to 8 μL/100 g and pectinase concentration was between 5 and 15 μL/100 g. For organic apples, the better cellulase and pectinase concentrations were between 6 and 8 μL/100 g and less than 10 μL/100 g, respectively. For Wilkins et al. [15], enzymes hydrolyze polysaccharides into simple sugars, which are immediately consumed by the yeasts as they are formed, avoiding their accumulation in the medium and consequent enzymatic inhibition.

Fig. 3.

Fig. 3

Response surface 3D and 2D contour plots. S. boulardii cells (log CFU/mL) during SSF in organic (A) and conventional (B) apples, according to pectinase concentration (X2) and celullase concentration (X3) and fixed optimum temperature (X1)

Each temperature and enzyme concentration can limit or stimulate growth and metabolic maintenance of S. boulardii. The maximum production points were temperature 27.5 °C, pectinase concentration 20 and 5 μL/100 g, and cellulase concentration 8 and 7 μL/100 g for the organic and conventional substrate apple pulp, respectively.

Comparing the concentrations of pectinase (X2) and cellulase (X3), the maximal response of the organic apple substrates was superior to that of conventional apple substrates. This can be attributed to the fact that the organic apple pulp have shown more soluble solids content and lower moisture (Table 2), thus requiring higher enzyme concentrations to achieve greater hydrolysis. This provides a less viscous substrate, allowing greater aeration of the medium and therefore more cell mass production.

Determination and validation of optimal conditions

The optimum condition for the growth of S. boulardii followed the polynomial models (Eqs. 23). Validation experiments were conducted in order to compare the experimental results with predicted values, within the expected confidence interval of 95%, for the different apple substrates (Table 3).

Table 3.

Predicted and experimental values of S. boulardii cell concentration of the responses under optimal conditions for fermentation of organic (ORG) and conventional (CONV) apple pulp

Organic Conventional
Variable
Independent
 X1 (°C) 27.5 27.5
 X2 (μL/100 g) 20.0 5.0
 X3 (μL/100 g) 8.0 7.0
YORG (log CFU/mL) YCONV log (CFU/mL)
Variable dependent
 Predict 8.352a,A 8.317a,A
 Experimental 8.349 ± 0.015a,A 8.319 ± 0.016a,A

Means followed by the same uppercase letter in the same column do not differ significantly (p < 0.05)

Means followed by the same lowercase letter in the same line do not differ significantly (p < 0.05)

Table 3 shows that although the organic apple presented higher levels of sugars (Table 2), yeast cell multiplication was not statistically higher when exposed to this substrate according to Tukey’s test (p < 0.05). Both culture media were considered suitable fermentative substrates, since products with a number higher than 8 log CFU/mL may show probiotic action.

SSF characteristics during S. boulardii cell growth using ORG and CONV optimized media

To better understand the effect of the optimized substrates on S. boulardii biomass production, SSF was conducted under optimized conditions for 24 h. At the end of this period the following mean values for sugars in ORG and CONV, respectively, were found: final total sugar concentration ATf = 112.8 and 81 g/L; final concentration of reducing sugar ARf = 86.5 and 79.22 g/L, respectively.

Therefore, the kinetic and saccharification parameters calculated for ORG and CONV were, respectively, maximum concentration of the yeast in dry weight Xmax = 4.917 and 4.812 g/L; substrate conversion factor in cells YX/S = 0.239 and 0.253; substrate consumption rate ds/dt = 0.607 and 0.617 g/L/h; rate of cell production dx/dt = 0.146 and 0.138 g/L/h; and percentage of saccharification = 58.613 and 62.790%.

The percentage of saccharification and the final concentration of total and reducing sugars were different (p < 0.05) between ORG and CONV. However, it was verified that this did not affect the culture of S. boulardii since the kinetic parameters were equal (p < 0.05) for both substrates.

Chin et al. [34] used the following optimized substrate conditions for S. boulardii culture glucose, 20; steep liquor, 15; NaNO3, 1.0; KH2PO4, 6.0; MgSO4.7H2O, 3.0; CuSO4.5H2O, 0.002; FeSO4. 7.10, 0.001; ZnSO4∙7H2O, 0.01 in g/L and found Xmax = 4 g/L at pH 4.4 and = 8.2 g/L at pH 5.5 after 16 h of culture.

The parameters found by Muller et al. [35] were close to our study: Xmax = 3.907 g/L and YX/S = 0.417 for S. boulardii cultured in a glucose-containing medium, 10; peptone, 2; yeast extract, 2; KH2PO4, 0.6; urea, 0.36; (NH4)2SO4, 0.12; and MgSO4, 0.24 g/L for 12 h.

The face-centered central composite design has been successfully used to study and optimize the individual and interactive effects of the process variables temperature, cellulase concentration, and pectinase concentration on the growth of S. boulardii cells. The model developed was able to predict the cell concentration taking into account the experimental values observed.

There were no differences between the apple substrates for the production of S. boulardii, indicating that the differences between conventional and organic apples (mainly sugar, protein, and mineral contents) did not significantly affect the cell growth.

Acknowledgements

This research was developed with the support of the Londrina State University, which provided the infrastructure and facilities. This study was supported by a scholarship from the National Council of Technological and Scientific Development and Coordination for the Improvement of Higher Education Personnel.

Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflict of interest.

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