Complete factorial design to adjust pH and sugar concentrations in the inoculum phase of Ralstonia solanacearum to optimize P(3HB) production.

Poly(3-hydroxybutyrate) (P(3HB)) is a biodegradable plastic biopolymer that accumulates as lipophilic inclusions in the cytoplasm of some microorganisms. The biotechnological process by which P(3HB) is synthesized occurs in two phases. The first phase involves cell growth in a complex culture medium, while the second phase involves polymer accumulation in the presence of excess carbon sources. As such, the efficiency of the second phase depends on the first phase. The aim of this study was to evaluate culture media with different concentrations of sucrose and glucose and different pH values in the inoculum phase of Ralstonia solanacearum RS with the intention of identifying methods by which the biomass yield could be increased, subsequently enhancing the yield of P(3HB). The culture medium was formulated according to the experimental planning type of central composite rotational design 22. The independent variables were pH and sugar concentration (sucrose and glucose), and the dependent variables were OD600nm, dry cell weight (DCW), and P(3HB) yield. The highest cell growth, estimated by the OD600nm (20.6) and DCW (5.35) values, was obtained when sucrose was used in the culture medium at a concentration above 35 g.L-1 in combination with an acidic pH. High polymer (45%) accumulation was also achieved under these conditions. Using glucose, the best results for OD600nm (12.5) and DCW (2.74) were also obtained at acidic pH but with a sugar concentration at the minimum values evaluated. Due to the significant accumulation of polymer in the cells that were still in the growth phase, the accumulating microorganism P(3HB) Ralstonia solanacearum RS can be classified as having type II metabolism in relation to the polymer accumulation phase, which is different from other Ralstonia spp. studied until this time.

Introduction

Conventional plastics derived from petroleum have been in use for decades due to their strength, durability and low production costs [1]. While plastics are a major benefit to society, their continued use is questionable because they can have a serious impact on human health and the environment [2-3]. The growing scientific interest in the environmental impact of humanity’s increasing consumption of plastics suggests that there is a distinct requirement to research and develop environmentally friendly substitutes. A primary line of research into alternative materials that has attracted significant interest is the production of biodegradable biopolymers derived from microorganisms as renewable sources that offer the thermal and mechanical characteristics required for industrialization [4].

Bioprocesses can be used to obtain biodegradable polymers, such as the n>an class="Chemical">polyhydroxyalkanoate (PHA) family. PHAs accumulate in the cytoplasm of bacteria as inclusions of water-insoluble polyesters and as intracellular carbon and energy storage compounds [5]. The main characteristic of these bioplastics is that the enzymatic action of microorganisms completely degrades the plastics in a short time under suitable environmental conditions; in addition, they are thermoplastic and biocompatible with the human body [6]. These macromolecules have many applications, from food packaging to agricultural and medical uses; e.g., in drug delivery systems, implants, non-woven patches, and tissue scaffolding [7-9].

As P(3HB) has physical propn>erties that are similar to those of n>an class="Chemical">polypropylene, including the melting point, crystallinity and glass transition temperature, it is the most studied and the most frequently used biopolymer for the production of bioplastics [10]. P(3HB) is produced via two phases. The first phase, named the “inoculum phase” or “cell growth”, occurs in a complex culture medium, usually nutrient broth (NB) [11-13], nutrient rich (NR) [14], basal culture medium (BCM) [15-16] or yeast malt (YM) [17] compounds of peptone and yeast, malt and meat extracts and complemented with a low C/N ratio. The second phase, named “polymer accumulation or production” occurs in mineral salt medium (MSM) [11-16,18-19] under the limitation of essential nutrients N, P, O, or Mg and in the presence of excess carbon sources associated with a high C/N ratio [11].

During the inoculum phase of P(3HB)-producing bacteria, it is important to maximize cell growth and achieve a high cell density. Inoculation of the cells grown in a spn>ecific new culture medium induces maximal accumulation of bion>an class="Chemical">polymers with a minimal residual weight of the cell. Thus, polymer synthesis during the inoculum phase is not a prerequisite [20].

While over 300 microorganisms can synthesize PHAs, the production of n>an class="Chemical">PHAs is usually limited to Ralstonia spp., Cupriavidus necator, Pseudomonas spp. and recombinant Escherichia coli [9,19,21-22]. Ralstonia spp. tend to be more amenable to production on an industrial scale, demonstrating high yields and production rates [23] and accumulating approximately 80% of their dry weight as a polymer [24].

The strain used in the present study, R. solanacearum RS, is a phytopn>athogenic bacterium n>an class="Chemical">P(3HB) producer that was isolated from a cactus in Rio Grande do Sul (RS) and was characterized by 16S rRNA sequencing [25-26]. Albeit the Ralstonia genus is considered to be a good producer of exopolysaccharides, in our researcher group, the main interest about R. solanacearum RS has been focused on the novelty of studying this specie for the production of intracellular biopolymers, such as PHBs. The aim of this study was to evaluate the influence the carbon source concentration (sucrose and glucose) and initial pH of the culture medium had on cell growth during the inoculum phase.

Materials and methods

Microorganism

The R. solanacearum RS strain was supn>plied by the Bacteriology Laboratory, Eliseu Maciel Faculty of Agronomy, Federal University of Pelotas, RS, Brazil. The bacteria were lyophilized and stored at -80°C or sub-cultured monthly on nutritive yeast agar (NYA) [27] composed of (in g.L-1) peptone (Kasvi®), 5.0; glucose (Synth®), 5.0; yeast extract (Kasvi®), 1.0; meat extract (Himedia®), 3.0; and agar (Kasvi®), 15.0. They were then stored at 4°C.

Culture media and operating conditions

The different culture media for the inoculum phase were obtained by combining the independent variables according to the experimental plan. The processes were conducted in an orbital shaker incubator with yeast malt [28] culture medium composed of (in g.L-1) yeast extract (Kasvi®), 2.7; malt extract (Kasvi®), 2.7 and peptone (Kasvi®), 4.5, modified based on the sugar type, concentration and pH.

The processes were conducted in 250 mL Erlenmeyer flasks with a total volume of 100 mL. The inoculum, with initial DO600nm 0.5, was produced from pre-inoculums formed by the suspension of fresh cells obtained from multiplicative cultures on NYA [27] solid medium plates for 72 h at 32°C. The incubations occurred at 32°C with shaking at 250 rpm for 24 h.

Two experimental designs were used for each type of sugar (n>an class="Chemical">glucose (Synth®) and sucrose (Synth®) to establish the working ranges and the best experimental conditions. Initially, a complete factorial design 22 was used with three levels (-1, 0, +1) and three central points, and the independent variables were pH (5 to 8) and sugar concentration (0 to 70 g.L-1), totalling seven treatments. The results of the first statistical treatment were analysed, and the best range was established.

Next, a second experimental design was proposed central composite rotational design (CCRD) 22, with four experiments at the axial points and three at the central point, totalling 11 treatments for each type of sugar (n>an class="Chemical">glucose and sucrose). The glucose solution ranged in pH (5.5 to 9.5) and sugar concentration (10 to 50 g.L-1), and the sucrose solution ranged in pH (5.8 to 7.2) and sugar concentration (15 to 45 g.L-1).

The culture medium pH adjustment was made with 2 M solutions of HCl or n>an class="Chemical">NaOH. The culture media were autoclaved at 121°C for 15 min, and the sugar solutions were sterilized separately and added to the culture medium later.

Determination of total residual sugars

Residual glucose and n>an class="Chemical">sucrose from the cultures were determined by the dinitrosalicylic acid (DNS) method for reducing sugars [29]. Samples from cultures with sucrose, a non-reducing sugar, were hydrolysed with 2 M HCl and then neutralized with 2 M NaOH. The supernatants were diluted 1:40 or 1:50 (v.v-1) as needed. The procedure was done in a test tube with 1 mL of sample added with 1 mL of the DNS reagent. The samples were stirred and heated at 100°C for 5 min; they were then transferred to cooling for 5 min, and 16 mL of sodium and potassium double tartrate solution were added. The readings were carried out in a spectrophotometer at 540 nm. The standard curve was constructed with glucose ranging from 0 to 1.0 g.L-1.

Determination of cell growth and accumulation of P(3HB)

Cell growth was evaluated by optical density (OD600nm), which was measured by spectrophotometry at 600 nm. The dry cell weight concentration (DCW) was determined by gravimetry. Following the accumulation step for n>an class="Chemical">P(3HB) production, the bacteria were harvested by centrifugation (10,000 ×g for 15 min), the cell concentrate was resuspended in 0.89% saline solution, and the biomass was recovered (10,000 ×g for 10 min). The DCW was obtained by drying at 56°C.

The accumulation of P(3HB) was determined by chemical extraction using n>an class="Chemical">chloroform and the DCW in the ratio of 40:1 v.m-1 [30]. After their recovery, the films were weighed for the yield calculation, which was expressed as a percentage. Eq 1 was used to determine the yield. where P1 is the total weight of the recovered biofilm and P2 is the DCW.

All averages resulted from triplicate measurements. Comparisons were statistically analysed with an ANOVA test using the Statistica 7.0 program. A value of p <0.05 was considered to be significant.

Results and discussion

The growth curve of the Ralstonia solanacearum RS strain was determined to explain its developn>ment in relation to the fermentation time (Fig 1). It was observed that the stationary phase was between 22 h and 28 h of cultivation Therefore, we selected the 24 h time to discuss the OD and n>an class="Chemical">DCW results and perform P(3HB) recovery and sugar consumption.

Fig 1

Growth curve of the Ralstonia solanacearum RS strain.

Complete factorial design 22

The matrix of the complete factorial design 22 is presented in Table 1 and was used to evaluate the effect of the sugar concentration (n>an class="Chemical">glucose or sucrose) and the pH of the culture medium on the cellular growth of Ralstonia solanacearum RS, expressed through OD600nm.

Table 1

Matrix of the complete factorial design 22.

Coded and real levels as well as response variables obtained for R. solanacearum RS inocula incubated at 32°C and 250 rpm for 24 h in YM culture medium containing different concentrations (g.L-1) of glucose or sucrose.

Treatments	Variable		OD600nm
	pH	[Sugar]	Glucose	Sucrose
1	-1 (5)	-1 (0)	7.3	4.2
2	+1 (8)	-1 (0)	6.8	6.5
3	-1 (5)	+1 (70)	5.0	6.0
4	+1 (8)	+1 (70)	8.7	7.1
5	0 (6.5)	0 (35)	7.6	21.2
6	0 (6.5)	0 (35)	8.1	21.9
7	0 (6.5)	0 (35)	8.2	18.9

OD600nm, optical density.

Coded and real levels as well as response variables obtained for R. solanacearum RS inocula incubated at 32°C and 250 rpm for 24 h in YM culture medium containing different concentrations (g.L-1) of n>an class="Chemical">glucose or sucrose.

Glucose was used to verify whether the pH and combination of the variables had a positive effect on the biomass, as the n>an class="Chemical">sugar concentration had no significant isolated effect. The highest cell growth obtained for glucose (OD600nm 8.7) was achieved via a combination of +1/+1 of pH 8 and 70 g.L-1 sugar. The highest cell growth obtained for sucrose (OD600nm 20.7) was achieved using the combination of pH 6.5 and a sugar concentration of 35 g.L-1. When sucrose was used, the independent variables had no effect in the studied ranges; however, the highest biomass concentrations were obtained when this sugar was used. This finding is very relevant given that sucrose is available at a lower price than glucose in Brazil.

From the results obtained in this complete factorial planning, a central composite rotational design (CCRD) was developed to obtain response surfaces that indicated the best combinations of pH and pan class="Chemical">sugar concentration.

Central composite rotational design 22

Table 2 presents the results generated by the application of the central composite rotational design (CCRD 22) statistical design. The design was based on the response surface methodology (RSM), which was usped to evaluate the effect of pan class="Chemical">sucrose concentration and pH on the culture medium, and aimed to increase the cellular growth of n>an class="Species">Ralstonia solanacearum RS.

Table 2

Matrix of the experimental planning CCRD 22.

Coded and real levels as well as values of the response variables obtained for R. solanacearum RS inoculum incubated at 32°C and 250 rpm for 24 h and YM culture medium with sucrose as the carbon source.

Treat	Independent variables		Dependent variables
	pH	[Sucrose]	OD600nm	DCW (g.L-1)	Sugar (g.L-1)	P(3HB) (%)
1	-1 (5.8)	-1 (15)	4.7	1.22	4.25	18.53
2	+1 (7.2)	-1 (15)	9.0	2.34	8.37	28.32
3	-1 (5.8)	+1 (45)	20.3	5.27	16.98	23.12
4	+1 (7.2)	+1 (45)	2.0	0.52	2.37	19.71
5	-1.41 (5.7)	0 (30)	20.6	5.35	15.73	45.62
6	+1.41 (7.3)	0 (30)	7.4	1.92	6.52	31.63
7	0 (6.5)	-1.41 (12.9)	11.2	2.91	8.11	37.39
8	0 (6.5)	+1.41 (47.1)	15.5	4.03	12.35	41.39
9	0 (6.5)	0 (30)	17.7	4.54	13.78	41.99
10	0 (6.5)	0 (30)	17	4.52	13.16	39.15
11	0 (6.5)	0 (30)	16.2	4.53	12.87	39.33

Treat, treatments; OD600nm, optical density; DCW, dry cell weight; sugar, sugar consumption; P(3HB), poly(3-hydroxybutyrate).

Coded and real levels as well as values of the response variables obtained for R. solanacearum RS inoculum incubated at 32°C and 250 rpm for 24 h and YM culture medium with n>an class="Chemical">sucrose as the carbon source.

Treat, treatments; OD600nm, optical density; DCW, dry cell weight; n>an class="Chemical">sugar, sugar consumption; P(3HB), poly(3-hydroxybutyrate).

The highest cell growth for sucrose, estimated by OD600nm (20.3 and 20.6) and n>an class="Chemical">DCW (5.27 and 5.35) values, was obtained in culture medium treatments 3 and 5, as well as higher sugar consumption, 16.98 and 15.73, respectively. These treatments had pH values below or equal to the minimum value and sucrose concentrations above or equal to the centre point. A significant and predictive mathematical model was generated with 95% confidence, and the determination coefficients (R2) were 0.88, 0.89 and 0.93 for the dependent variables OD600nm, DCW and sugar consumption, respectively, using sucrose as the carbon source in the culture medium. The coefficient of determination (R2) measured the proportion of the total response variation that is explained by the model. Models with an R2<0.60 should be used only as trend indicators and never for predictive purposes [31-33].

For the production of P(3HB), the independent variables did not show a significant effect on the evaluated ranges. However, the n>an class="Chemical">polymer accumulation was higher under some conditions, particularly in treatment 5 (45.6%), in which the cell growth was also high. However, treatment 3 resulted in high OD600nm (20.3) and DCW (5.27) values and had a lower concentration of P(3HB) (23.12%). This result indicated that such inoculum may result in greater polymer accumulation under suitable conditions. As treatment 3 resulted in OD600nm and DCW values similar to those of treatment 5 but with an approximately 50% lower polymer concentration, it can be assumed that the DCW obtained in treatment 3 has a higher percentage of material due to the cells themselves. Since P(3HB) is an intracellular polymer, an inoculum with a high numerical cell concentration is very desirable. On the other hand, the high polymer concentration obtained following treatment 5 strongly suggests the suitability of using organic YM medium or variants in the production phase of P(3HB). Statistical analysis showed that 95% significant regression coefficients were considered in the mathematical models proposed to represent Eq 2 (OD600nm), Eq 3 (DCW) and Eq 4 (sucrose consumption) of the cultures as a function of pH and sucrose concentration. Eq 2, 3 and 4 are as follows:

The response and contour surfaces for cultures using pan class="Chemical">sucrose, based on the model generated by Eqs 2, 3 and 4, are shown in Figs 2, 3 and 4, respn>ectively.

Fig 2

Response and contour surfaces as a function of sucrose concentration and pH for OD600nm.

Fig 3

Response and contour surfaces as a function of sucrose concentration and pH for DCW.

Fig 4

Response and contour surfaces as a function of sucrose concentration and pH for sugar consumption.

The response surfaces (Figs 2, 3 and 4) indicate that the highest cell growth in the cultivation using sucrose, OD600nm 20 and n>an class="Chemical">DCW 6 g.L-1, as well as higher sugar consumption (20 g.L-1), can be obtained with a high sugar concentration and an acid pH.

Table 3 presents the results of the experiment, in which pan class="Chemical">glucose was used as the n>an class="Chemical">carbon source, generated by the application of the statistical central composite rotational design (CCRD 22).

Table 3

Matrix of the experimental planning CCRD 22.

Coded and real levels as well as values of the response variables obtained for R. solanacearum RS inoculum incubated at 32°C and 250 rpm for 24 h and YM culture medium with glucose.

Treat	Independent variables		Dependent variables
	pH	[Glucose]	OD600nm	DCW (g.L-1)	Sugar (g.L-1)	P(3HB) (%)
1	-1 (5.5)	-1 (10)	12.5	2.74	9.67	37.87
2	+1 (9.5)	-1 (10)	7.7	1.68	7.69	38.99
3	-1 (5.5)	+1 (50)	3.0	0.22	1.78	28.99
4	+1 (9.5)	+1 (50)	1.9	0.40	3.07	23.21
5	-1.41 (5.2)	0 (30)	8.8	1.56	8.95	29.32
6	+1.41 (9.8)	0 (30)	3.0	0.48	2.15	18.99
7	0 (7.5)	-1.41 (7.2)	11.4	2.69	6.95	37.19
8	0 (7.5)	+1.41 (52.8)	1.7	0.78	4.28	11.04
9	0 (7.5)	0 (30)	10.3	2.38	11.06	35.23
10	0 (7.5)	0 (30)	10.6	2.48	10.46	29.10
11	0 (7.5)	0 (30)	10.8	2.53	10.87	32.80

Treat, treatment; OD600nm, optical density; DCW, dry cell weight; sugar, sugar consumption; P(3HB), poly(3-hydroxybutyrate).

Coded and real levels as well as values of the response variables obtained for pan class="Species">R. solanacearum RS inoculum incubated at 32°C and 250 rpm for 24 h and YM culture medium with n>an class="Chemical">glucose.

Treat, treatment; OD600nm, optical density; DCW, dry cell weight; n>an class="Chemical">sugar, sugar consumption; P(3HB), poly(3-hydroxybutyrate).

Table 3 shows that the highest cell growth using glucose, estimated using the OD600nm (12.5) and n>an class="Chemical">DCW (2.74) values, was obtained in treatment 1, with culture medium at acidic pH and a sugar concentration at the minimum values evaluated. It was also observed that in this treatment, almost all the available sugar was consumed (9.67 g.L-1).

The generated mathematical model was significant, with 95% confidence, and predictive with coefficients of determination (R2) 0.99, 0.96 and 0.85 for the dependent variables OD600nm, DCW and sugar consumption, respectively, using glucose as a carbon source in the organic culture medium YM. The measured ranges of pH and sugar concentration had no significant effect on the accumulation of P(3HB). Similar to the accumulation with sucrose cultivation, high accumulation of P(3HB) was obtained for glucose, and even higher accumulations were observed in the treatments in which sugar concentrations were at the lowest (T1, T2 e T7).

Statistical analysis revealed that 95% significant regression coefficients were considered in the mathematical models proposed to represent Eq 5 (OD600nm), Eq 6 (DCW) and Eq 7 (glucose consumption) of the cultures, as a function of pH and glucose concentration. Eqs 5, 6 and 7 are as follows:

The response and contour surfaces for the cultures using pan class="Chemical">glucose, which were based on the model generated by Eqs 5, 6 and 7, are shown in Figs 5, 6 and 7 respn>ectively.

Fig 5

Response and contour surfaces as a function of glucose concentration and pH for OD600nm.

Fig 6

Response and contour surfaces as a function of glucose concentration and pH for DCW.

Fig 7

Response and contour surfaces as a function of glucose concentration and pH for sugar consumption.

From the response surfaces (Figs 5, 6 and 7), it was estimated that the highest cell growth (OD600nm 10 and DCW 3 g.L-1), as well as higher n>an class="Chemical">sugar consumption (10 g.L-1), in the culture using glucose can be obtained with a sugar concentration and a pH between the minimum values and central point. The inhibitory effect on cell growth may also be observed when high glucose concentrations and pH are used.

The use of pH 7 for culture medium in the inoculum phase has been indicated for the genus Ralstonia [19,34]. However, for R. solanacearum RS, the present study found that the appropriate pH depends on the type of sugar and its concentration.

Varying results have been reported regarding the type and concentration of the sugar used for the different P(3HB)-producing microorganisms. Some examples include TFY medium composed of fructose 5 g.L-1 for Ralstonia eutropha ATCC 17697 [34]; BCM composed of sucrose 10 g.L-1 for Bacillus mycoides RLJ B-017 [11]; nutrient broth composed of sucrose 10 g.L-1 for Bacillus megaterium BA-019 [15-16]; nutrient broth composed of glycerol 20 g.L-1 for Bacillus megaterium [18] and Luria-Bertani (LB) supplemented with 30 g.L-1 of glycerol for Cupriavidus necator [35]. However, these authors did not report the values of the bacterial concentration in the inoculum phase; as such, it is not possible to compare the outputs of these studies with that of the current study.

The microorganisms used to produce PHAs can be divided into two groupn>s. The first groupn> (I) consists of microorganisms that produce the n>an class="Chemical">polymer in conditions of excess carbon. Their growth is interrupted or reduced by the lack of essential nutrients such as N, P, Mg, K, S or O [36]. Ralstonia sp. is considered to belong to group I; however, in the current study, it was possible to verify this bacterium’s excessive accumulation of P(3HB) in the inoculum phase, second group (II) [17,36], which may be a specific characteristic of the species investigated in the study.

Factorial design is a common practice in biotechnology and an important tool to determine the optimal process conditions. This technique is advantageous compared to the conventional method, which handles a single parameter per trial; as such, an approach fails to locate optimal conditions due to its failure to consider the effect of possible interactions between factors. Various research workers have applied the Factorial technique, especially for the optimization of culture conditions [37-41] and for the determination of optimal values for processing parameters [42-44].

In the experimental design, the independent variables were substituted by the coded values, obtaining the predicted values and the standard deviations (Tables 4 and 5).

Table 4

Responses of the complete experimental design 22 for OD600nm, DCW and sugar consumption obtained from the inoculum of R. solanacearum RS with sucrose, experimentally observed and predicted by the model, and their respective standard deviations.

Treat	pH	Sucrose	OD600nm			DCW			Sugar Consumption
			Obs	Model	SD(%)	Obs	Model	SD(%)	Obs	Model	SD(%)
1	-1	-1	4.7	-1.16	124.7	1.22	-0.42	134.4	4.25	-1.3	130.6
2	+1	-1	9.0	5.08	43.6	2.34	1.2	48.7	8.37	5.64	32.6
3	-1	+1	20.3	28.8	-41.9	5.27	7.34	-39.3	16.98	23.8	-40.16
4	+1	+1	2.0	-10.16	608.0	0.52	-2.76	630.8	2.37	-6.7	382.7
5	-1.14	0	20.6	17.89	13.2	5.35	4.52	15.5	15.73	14.6	7.2
6	+1.14	0	7.4	-5.17	169.9	1.92	-1.46	176.0	6.52	-2.0	130.7
7	0	-1.14	11.2	-0.14	101.3	2.91	-0.15	105.2	8.11	0.01	99.9
8	0	+1.14	15.5	10.24	33.9	4.03	2.53	37.2	12.35	9.01	27.0
9	0	0	17.7	16.98	4.1	4.54	4.53	0.2	13.78	13.28	3.63
10	0	0	17	16.98	0.1	4.52	4.53	-0.2	13.16	13.28	-0.9
11	0	0	16.2	16.98	-4.8	4.53	4.53	0.0	12.87	13.28	-3.18

Treat, treatments; Obs, responses experimentally observed; model, results of predictive model; SD, relative standard deviation; OD600nm, optical density; DCW, dry cell weight.

Table 5

Responses of the complete experimental design 22 for OD600nm, DCW and sugar consumption, obtained from the inoculum of R. solanacearum RS with glucose, experimentally observed and predicted by the model and their respective standard deviations.

Treat	pH	Sucrose	OD600nm			DCW			Sugar Consumption
			Obs	Model	SD(%)	Obs	Model	SD(%)	Obs	Model	SD(%)
1	-1	-1	12.5	14.55	-16.4	2.74	3.01	-9.9	9.67	8.6	11.1
2	+1	-1	7.7	3.79	50.8	1.68	0.57	66.1	7.69	0.18	97.6
3	-1	+1	3.0	-3.67	222.3	0.22	-1.49	777.3	1.78	-2.82	258.4
4	+1	+1	1.9	-7.03	470.0	0.40	-1.45	462.5	3.07	-4.72	253.7
5	-1.14	0	8.8	6.29	28.5	1.56	0.31	80.1	8.95	3.94	56.0
6	+1.14	0	3.0	-3.67	222.3	0.48	-1.39	389.6	2.15	-3.34	255.3
7	0	-1.14	11.4	12.86	-12.8	2.69	3.19	-18.6	6.95	6.2	10.8
8	0	+1.14	1.7	-7.62	548.2	0.78	-1.41	280.8	4.28	-5.3	223.8
9	0	0	10.3	10.57	-2.6	2.38	2.46	-3.4	11.06	10.8	2.3
10	0	0	10.6	10.57	0.3	2.48	2.46	0.8	10.46	10.8	-3.2
11	0	0	10.8	10.57	2.1	2.53	2.46	2.8	10.87	10.8	0.6

Treat, treatments; Obs, responses experimentally observed; model, results of predictive model; SD, relative standard deviation; OD600nm, optical density; DCW, dry cell weight.

Treat, treatments; Obs, responses experimentally observed; model, results of predictive model; SD, relative standard deviation; OD600nm, optical density; pan class="Chemical">DCW, dry cell weight.

Treat, treatments; Obs, responses experimentally observed; model, results of predictive model; SD, relative standard deviation; OD600nm, optical density; pan class="Chemical">DCW, dry cell weight.

By analysing the results of the predicted model equations and the experimental results for the OD600nm, DCW and sugar consumption values, responses were found at very similar central points with a low standard deviation. This finding indicates that the model is valid for both carbon sources that were analysed. It was below the deviation in treatment 5, which used sucrose and for which a higher concentration of biomass was obtained with the combination of the negative axial point for the pH and the centre point for the sugar concentration. Treatment 1 predicts a high biomass (using glucose) by combining the minimum values of the independent variables.

Thus, accumulation of the inoculum depended on optimizing the different combinations of pH and sugar concentrations. This can be achieved by setting the independent variables at one or more of these centre points for both carbon sources and a combination of additional values mentioned for each type of sugar in the optimization range.

Conclusions

Higher cell growth and the consequent higher yield of P(3HB) were obtained using n>an class="Chemical">sucrose (45 to 47.1 g.L-1) as a carbon source in an acidic pH (5.7 to 5.8) medium. The ideal pH depends on the concentration and type of sugar used. Due to the significant accumulation of polymer while the cells were still in the cell growth phase, the accumulating microorganism P(3HB) Ralstonia solanacearum RS can be classified as having type II metabolism in relation to the accumulation phase of the polymer.