The Joint Effect of pH Gradient and Glucose Feeding on the Growth Kinetics of  CECT 539 in Glucose-Limited Fed-Batch Cultures

MÓNICA COSTAS MALVIDO; ELISA ALONSO GONZÁLEZ; RICARDO J. BENDAÑA JÁCOME; NELSON PÉREZ GUERRA

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The Joint Effect of pH Gradient and Glucose Feeding on the Growth Kinetics of Lactococcus lactis CECT 539 in Glucose-Limited Fed-Batch Cultures

MÓNICA COSTAS MALVIDO

ELISA ALONSO GONZÁLEZ

RICARDO J. BENDAÑA JÁCOME

oraz

NELSON PÉREZ GUERRA

| 28 cze 2019

Polish Journal of Microbiology

Tom 68 (2019): Zeszyt 2 (June 2019)

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Article Category: original-paper

Data publikacji: 28 cze 2019

Zakres stron: 269 - 280

Otrzymano: 24 lut 2019

Przyjęty: 25 kwi 2019

DOI: https://doi.org/10.33073/pjm-2019-030

Słowa kluczowe
fed-batch fermentation, empirical modeling, probiotic biomass, nisin, glucose-limited cultures

© 2019 Mónica Costas Malvido et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Time course of the culture pH (◊), pH gradient (VpH, ●), and remaining (○), consumed (£), added (∆) and extracted (▲) concentrations of glucose (G), lactose (L), proteins (Pr), total nitrogen (TN), and phosphorus (TP) in the realkalized fed-batch culture I. The data reported are means ± standard deviations of two repeated experiments and three replicate measurements.

Time course of the biomass (X), viable cell counts (VCC), nisin (Nis), lactic acid (LA), acetic acid (AA), and butane-2,3-diol (B) in the realkalized fed-batch cultures I (left side), and II (right side). The data reported are means ± standard deviations of two repeated experiments and three replicate measurements. The solid lines drawn through the experimental data for each variable were obtained according to the empirical model [7].

Significant values (p < 0.05) for the constants in model [7] for the different dependent variables in the second fed-batch culture.

Parameter	Biomass	Viable cell counts	Nisin	Lactic acid	Acetic acid	Butane-2,3-diol
A₁	0.46 ± 0.043	0.58 ± 0.053	0.42 ± 0.040	10.19 ± 0.405	0.41 ± 0.032	0.23 ± 0.062
A₂	−3.32 ± 0.351	−1.75 ± 0.062	−27.69 ± 1.011	−8.10 ± 0.621	−2.19 ± 0.027	−3.15 ± 0.333
A₃	0.58 ± 0.059	0.45 ± 0.011	6.53 ± 0.462	1.79 ± 0.109	0.44 ± 0.024	0.63 ± 0.097
A₄	0.53 ± 0.038	0.26 ± 0.065	4.73 ± 0.516	−0.35 ± 0.017	0.42 ± 0.023	0.72 ± 0.065
A₅	−0.04 ± 0.005	−0.01 ± 0.003	−0.10 ± 0.013	0.03 ± 0.006	−0.02 ± 0.001	−0.04 ± 0.004
A₆	0.11 ± 0.006	NS	NS	NS	NS	NS
R²	0.9973	0.9906	0.9950	0.9959	0.9794	0.9856
RPDM (%)	0.987	0.326	3.775	2.609	3.988	3.602
VpHopt	1.82	1.96	2.12	2.26	2.47	2.49
pHopt = 7.0 – VpHopt	5.18	5.04	4.88	4.74	4.53	4.51
Gopt (g/l)	10.55	11.10	22.83	5.30	11.17	10.27

The optimal final culture pH values for different bacteriocins produced by lactic acid bacteria.

Bacteriocin	Producing strain	Optimum final pH	Culture medium	Reference
Mesenterocin 5	Leuconostoc mesenteroides UL5	4.24 to 4.34	Whey	Daba et al. 1993
Pediocin AcH	Pediococcus acidilactici LB42-923	3.70	TGE broth	Yang and Ray 1994
Nisin	Lactococcus lactis ATCC 11454	5.80	TGE broth	Yang and Ray 1994
Leuconocin Lcm1	Leuconostoc carnosum Lm1	5.00	TGE broth	Yang and Ray 1994
Sakacin A	Lactobacillus sake LB 706	4.50	TGE broth	Yang and Ray 1994
Nisin	Lactococcus lactis ATCC 7962	4.90	Whey permeate	Flôres and Alegre 2001
Carnocin KZ213	Carnobacterium piscicola 213	4.80 to 5.08	MRS broth	Khouiti and Simon 2004
Nisin	Lactococcus lactis ATCC 11454	4.60	MRS + milk	Penna et al. 2005
Nisin	Lactococcus lactis ATCC 11454	4.80	M17 + milk	Penna et al. 2005
Nisin	Lactococcus lactis ATCC 11454	4.65 to 4.96	Whey + YE (5 g/l)	Jozala et al. 2011

Significant values (p < 0.05) for the constants in model [7] for the different dependent variables in the first fed-batch culture.

Parameter	Biomass	Viable cell counts	Nisin	Lactic acid	Acetic acid	Butane-2,3-diol
A₁	4.12 ± 0.631	1.86 ± 0.084	1.13 ± 0.113	5.71 ± 0.235	1.16 ± 0.003	2.75 ± 0.277
A₂	−3.60 ± 0.545	−1.56 ± 0.072	8.67 ± 0.4244	−4.04 ± 0.225	−0.70 ± 0.012	−2.00 ± 0.265
A₃	0.83 ± 0.116	0.41 ± 0.015	−2.07 ± 0.206	0.88 ± 0.054	0.12 ± 0.005	0.37 ± 0.064
A₄	−1.09 ± 0.383	−0.15 ± 0.051	−9.25 ± 1.547	−0.92 ± 0.040	−0.46 ± 0.021	−0.19 ± 0.021
A₅	0.14 ± 0.062	0.03 ± 0.008	2.93 ± 0.314	0.26 ± 0.019	0.15 ± 0.011	0.03 ± 0.003
A₆	0.35 ± 0.168	NS	0.74 ± 0.203	NS	NS	NS
R²	0.9950	0.9948	0.9993	0.9986	0.9949	0.9954
RPDM (%)	3.335	0.228	1.121	3.760	1.701	5.809
VpHopt	1.81	1.92	2.32	2.30	2.83	2.40
pHopt = 7.0 – VpHopt	5.19	5.08	4.68	4.70	4.17	4.60
Gopt (g/l)	1.64	2.72	1.29	1.76	1.41	2.80

Mean composition (g/l) of the substrates used as culture media.

Nutrient	DW medium	CMPW medium	CMPWGP medium
Lactose	22.62 ± 0.05	−	−
Glucose	−	101.72 ± 0.17	400.00 ± 0.01
Total nitrogen	0.433 ± 0.02	0.540 ± 0.01	0.431 ± 0.02
Total phosphorus	0.227 ± 0.02	0.060 ± 0.00	3.210 ± 0.06
Proteins	2.07 ± 0.01	3.47 ± 0.03	2.75 ± 0.02

eISSN:: 2544-4646
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The Joint Effect of pH Gradient and Glucose Feeding on the Growth Kinetics of Lactococcus lactis CECT 539 in Glucose-Limited Fed-Batch Cultures

Article Category: original-paper

Data publikacji: 28 cze 2019

Zakres stron: 269 - 280

Otrzymano: 24 lut 2019

Przyjęty: 25 kwi 2019

DOI: https://doi.org/10.33073/pjm-2019-030

Słowa kluczowe
fed-batch fermentation, empirical modeling, probiotic biomass, nisin, glucose-limited cultures

© 2019 Mónica Costas Malvido et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1.

Fig. 2.

Fig. 3.

Significant values (p < 0.05) for the constants in model [7] for the different dependent variables in the second fed-batch culture.

The optimal final culture pH values for different bacteriocins produced by lactic acid bacteria.

Significant values (p < 0.05) for the constants in model [7] for the different dependent variables in the first fed-batch culture.

Mean composition (g/l) of the substrates used as culture media.

The Joint Effect of pH Gradient and Glucose Feeding on the Growth Kinetics of Lactococcus lactis CECT 539 in Glucose-Limited Fed-Batch Cultures

Article Category: original-paper

Data publikacji: 28 cze 2019

Zakres stron: 269 - 280

Otrzymano: 24 lut 2019

Przyjęty: 25 kwi 2019

DOI: https://doi.org/10.33073/pjm-2019-030

Słowa kluczowefed-batch fermentation, empirical modeling, probiotic biomass, nisin, glucose-limited cultures

© 2019 Mónica Costas Malvido et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1.

Fig. 2.

Fig. 3.

Significant values (p < 0.05) for the constants in model [7] for the different dependent variables in the second fed-batch culture.

The optimal final culture pH values for different bacteriocins produced by lactic acid bacteria.

Significant values (p < 0.05) for the constants in model [7] for the different dependent variables in the first fed-batch culture.

Mean composition (g/l) of the substrates used as culture media.

Słowa kluczowe
fed-batch fermentation, empirical modeling, probiotic biomass, nisin, glucose-limited cultures