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Xiufeng Shi, Chuanyou Chang, Shenxi Ma, Yibing Cheng, Jun Zhang, Qiang Gao, Efficient bioconversion of l-glutamate to γ-aminobutyric acid by Lactobacillus brevis resting cells, Journal of Industrial Microbiology and Biotechnology, Volume 44, Issue 4-5, 1 May 2017, Pages 697–704, https://doi.org/10.1007/s10295-016-1777-z
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Abstract
This work investigated the efficient bioconversion process of l-glutamate to GABA by Lactobacillus brevis TCCC 13007 resting cells. The optimal bioconversion system was composed of 50 g/L 48 h cultivated wet resting cells, 0.1 mM pyridoxal phosphate in glutamate-containing 0.6 M citrate buffer (pH 4.5) and performed at 45 °C and 180 rpm. By 10 h bioconversion at the ratio of 80 g/L l-glutamic acid to 240 g/L monosodium glutamate, the final titer of GABA reached 201.18 g/L at the molar bioconversion ratio of 99.4 %. This process presents a potential for industrial and commercial applications and also offers a promising feasibility of continuous GABA production coupled with fermentation. Besides, the built kinetics model revealed that the optimum operating conditions were 45 °C and pH 4.5, and the bioconversion kinetics at low ranges of substrate concentration (0 < S < 80 g/L) was assumed to follow the classical Michaelis–Menten equation.
This article is dedicated to Dr. Arnold L. Demain for his 90th birthday, and his lifetime devotion and worldwide impact on industrial microbiology and biotechnology.
Introduction
γ-Aminobutyric acid (GABA) is a natural non-proteinogenic amino acid, which is widely found among animals, plants and microorganisms [4, 11, 14, 20]. In mammalians, GABA acts as an important type of inhibitory neurotransmitter to modulate the overall excitability of the central nervous system [1, 9]. In addition, it possesses several well-known physiological functions, such as improving brain functions, antianxiety effects, tranquilizer effects, boosting fertility, diuretic effects, anti-diabetic effects and treatment of epilepsy [9, 29]. Thus, GABA has broad application prospects in food and pharmaceutical industries as a bioactive compound [4–6, 13, 14].
GABA production can be divided into chemical and biological syntheses [2, 6, 13, 20]. However, GABA by chemical synthesis cannot be applied to food industry in China due to its unsafety. Lactic acid bacteria (LAB), the well-known and generally regarded as safe (GRAS) food microorganisms [22–24, 32], are used worldwide in food industry. Many researches disclosed that LAB possess the high activity of glutamate decarboxylase (GAD, EC 4.1.1.15), which is a sole enzyme to catalyze an irreversible α-decarboxylation reaction of l-glutamate or its salts into GABA [12, 18, 26, 27]. Various LAB species demonstrated the ability to produce GABA, including Lactobacillus paracasei isolated from traditional fermented foods [13], L. buchneri from kimchi [1, 33], L. brevis from kimchi [27], alcohol distillery lees [28] and naturally pickled Chinese vegetables [32].
Since resting cells are no longer growing but metabolically active, bioconversion technology using resting cells is a green method for the preparation of various metabolic products in food, pharmaceutical and other industries [7, 19]. The use of resting cells in bioconversion processes can be more favorable than growing cells due to its easier and more flexible operation in the reaction system as cell factories [10, 16, 24]. In the previous studies, the bioconversion of l-glutamate to GABA by LAB resting cells is a possible approach for GABA production due to its potential of cost efficiency, safe and high catalytic efficiency, environmental-friendly compatibility and easy downstream processing [3, 5, 8, 15, 22–24, 32, 33]. However, due to the lower GABA titer or longer bioconversion period for bioconversion process, there is still much space for the enhancement of GABA production.
In this study, the process of bioconversion from l-glutamate to GABA by L. brevis TCCC 13007 resting cells and the influence of several factors on GABA production were investigated. The optimal composition of bioconversion system and the kinetic characterization of bioconversion by L. brevis TCCC 13007 resting cells were also determined to bring insight into the conversion of l-glutamate to GABA catalyzed by the GAD of GRAS LAB.
Materials and methods
Strain, chemicals and media
Lactobacillus brevis strain TCCC 13007 (the same as CGMCC No. 3414 of China General Microbiological Culture Collection Center) used in the present work was isolated from naturally pickled Chinese vegetables in our previous work and preserved in Tianjin University of Science & Technology’s Center of Culture Collection [32].
GABA standard and pyridoxal 5′-phosphate (PLP) were purchased from Sigma-Aldrich (Saint Louis, MO, USA). Monosodium glutamate (MSG, purity ≥ 99 %) was bought from a local supermarket in China. All other chemicals were of analytical and biochemical grades.
The glucose-yeast extract-peptone (GYP) medium [8] at natural pH was used for seed cultivation of L. brevis TCCC 13007. The cultivation medium consisted of (g/L): glucose 35, yeast extract 30, sodium acetate 2, MgSO4∙7H2O 0.2, (NH4)2SO4 0.2, MSG 50, pH 6.0. Glucose, MSG and the other medium components were autoclaved separately at 121 °C for 20 min and mixed just prior to inoculation.
Preparation of resting cells and bioconversion process
The cells were harvested by centrifugation at 5000 rpm for 10 min at 4 °C after 48 h cultivation, and then washed twice with sterile saline. Finally, the resting cells were resuspended in 0.6 M citric acid–sodium citrate buffer (citrate buffer) containing MSG (pH 4.5) optimized from various buffers. The bioconversion was performed at 45 °C and 180 rpm shaking for 8 or 12 h [23].
Kinetics model establishment of GABA bioconversion
The kinetic parameters of the bioconversion by L. brevis TCCC 13007 resting cells were investigated using the Lineweaver–Burk double reciprocal plot. The bioconversion ratio equation was established under different bioconversion conditions at pH 4.5 (35, 45 and 55 °C) or 45 °C (pH 4.0, 4.5 and 5.0), which was performed at 180 rpm in 250 mL flask containing 30 mL of 0.6 M citric acid-sodium citrate buffer (pH 4.5), 0.1 mM PLP and 50 g/L wet cells. GABA concentration in the samples was analyzed by HPLC after the bioconversion. All the experiments were performed in triplicate.
Analytical methods
For determination of GABA content in bioconversion, the supernatant after the removal of L. brevis TCCC 13007 resting cells was mixed with 2,4-dinitro-1-fluorobenzene for derivation at 60 °C for 1 h, and then the mixture was filtered by 0.22 μm cellulose acetate membrane filter [17]. The derivative was analyzed by an Agilent 1260 Infinity HPLC system (Agilent Technologies, Santa Clara, CA, USA) equipped with an Agilent ZORBAX StableBond C18 column (4.6 × 250 mm I.D., 5 μm particle). The operating conditions were as follows: flow rate of 0.8 mL/min, VWD UV detector at 360 nm and column temperature at 30 °C. Gradient elution with water/acetonitrile/0.05 M sodium acetate solution as mobile phase was used for quantitative GABA analysis [31].
Results
Effect of wet cell concentration on GABA production

Effect of cell concentration on GABA production and specific conversion ratio by L. brevis TCCC 13007 resting cells filled square GABA (g/L); filled circle specific conversion ratio (g/g)
Effect of bioconversion time on GABA production

Effect of bioconversion time on GABA production by L. brevis TCCC 13007 resting cells
Effect of different buffer systems and concentrations on GABA production
Sanders et al. [21] reported that α-decarboxylation reaction of l-glutamate occurred with the simultaneous consumption of H+ and production of CO2, which led to an increase of the intracellular pH, and thus beyond the optimal pH of GAD activity. Therefore, selecting a buffer system was necessary for the bioconversion process. Table 1 displayed that L. brevis TCCC 13007 resting cells expressed the highest bioconversion ability from 80 g/L MSG to GABA in citric acid-sodium citrate buffer system. Consequently, citric acid-sodium citrate buffer is a perfect buffer system for bioconversion of l-glutamate to GABA here.
Effect of different buffer systems on GABA production
Buffer system . | GABA (g/L) . |
---|---|
Citric acid–sodium citrate buffer | 31.33 |
Citric acid–ammonium citrate buffer | 30.30 |
Lactic acid–sodium lactate buffer | 29.33 |
Acetic acid–ammonium acetate buffer | 29.28 |
Acetic acid–sodium acetate buffer | 29.08 |
Tartaric acid–NaOH buffer | 26.48 |
Citric acid–NaOH-HCl buffer | 24.46 |
Succinic acid–NaOH buffer | 10.82 |
Na2HPO4–citric acid buffer | 10.82 |
Potassium biphthalate–KOH buffer | 1.75 |
Buffer system . | GABA (g/L) . |
---|---|
Citric acid–sodium citrate buffer | 31.33 |
Citric acid–ammonium citrate buffer | 30.30 |
Lactic acid–sodium lactate buffer | 29.33 |
Acetic acid–ammonium acetate buffer | 29.28 |
Acetic acid–sodium acetate buffer | 29.08 |
Tartaric acid–NaOH buffer | 26.48 |
Citric acid–NaOH-HCl buffer | 24.46 |
Succinic acid–NaOH buffer | 10.82 |
Na2HPO4–citric acid buffer | 10.82 |
Potassium biphthalate–KOH buffer | 1.75 |
Effect of different buffer systems on GABA production
Buffer system . | GABA (g/L) . |
---|---|
Citric acid–sodium citrate buffer | 31.33 |
Citric acid–ammonium citrate buffer | 30.30 |
Lactic acid–sodium lactate buffer | 29.33 |
Acetic acid–ammonium acetate buffer | 29.28 |
Acetic acid–sodium acetate buffer | 29.08 |
Tartaric acid–NaOH buffer | 26.48 |
Citric acid–NaOH-HCl buffer | 24.46 |
Succinic acid–NaOH buffer | 10.82 |
Na2HPO4–citric acid buffer | 10.82 |
Potassium biphthalate–KOH buffer | 1.75 |
Buffer system . | GABA (g/L) . |
---|---|
Citric acid–sodium citrate buffer | 31.33 |
Citric acid–ammonium citrate buffer | 30.30 |
Lactic acid–sodium lactate buffer | 29.33 |
Acetic acid–ammonium acetate buffer | 29.28 |
Acetic acid–sodium acetate buffer | 29.08 |
Tartaric acid–NaOH buffer | 26.48 |
Citric acid–NaOH-HCl buffer | 24.46 |
Succinic acid–NaOH buffer | 10.82 |
Na2HPO4–citric acid buffer | 10.82 |
Potassium biphthalate–KOH buffer | 1.75 |
Table 2 illustrated the bioconversion ability of the resting cells at different concentrations of citric acid-sodium citrate buffer for maximum GABA yield from 80 g/L MSG. The bioconversion ability of the prepared resting cells greatly increased with the increasing of buffer concentration at 0.1–0.6 M, and then became almost constant at 0.6–1.2 M. It is likely that the resting cell bioconversion ability was related to buffering capacity and ionic strength of the buffer solution, and high buffer concentration was helpful to maintain the pH for the enzymatic reaction system.
Effect of citrate buffer concentration on GABA production
Citric acid–sodium citrate buffer (M) . | GABA (g/L) . |
---|---|
0.1 | 20.24 |
0.2 | 26.13 |
0.4 | 28.09 |
0.6 | 32.80 |
0.8 | 32.96 |
1.0 | 32.82 |
1.2 | 32.53 |
Citric acid–sodium citrate buffer (M) . | GABA (g/L) . |
---|---|
0.1 | 20.24 |
0.2 | 26.13 |
0.4 | 28.09 |
0.6 | 32.80 |
0.8 | 32.96 |
1.0 | 32.82 |
1.2 | 32.53 |
Effect of citrate buffer concentration on GABA production
Citric acid–sodium citrate buffer (M) . | GABA (g/L) . |
---|---|
0.1 | 20.24 |
0.2 | 26.13 |
0.4 | 28.09 |
0.6 | 32.80 |
0.8 | 32.96 |
1.0 | 32.82 |
1.2 | 32.53 |
Citric acid–sodium citrate buffer (M) . | GABA (g/L) . |
---|---|
0.1 | 20.24 |
0.2 | 26.13 |
0.4 | 28.09 |
0.6 | 32.80 |
0.8 | 32.96 |
1.0 | 32.82 |
1.2 | 32.53 |
Effect of pH and temperature on the bioconversion of MSG to GABA

Optimization of the biocatalysis conditions from 80 g/L MSG. a Effect of pH on GABA production; b effect of temperature on GABA production
Reaction temperature impacts significant effect on enzyme activity. The variation of the reaction temperature influences the enzyme stability and activity not only by changing interactions between enzyme and substrate, but also by altering the thermodynamic equilibrium of a reaction. Here, GABA yields increased rapidly at 25–45 °C and reached the highest at 45 °C (Fig. 3b).
Effect of PLP on GABA production
As a PLP-dependent enzyme [10], GAD could catalyze the formation of a Schiff base intermediate which is the product of the reaction between PLP and l-glutamate [25]. Hence, we assume that the yield of GABA would increase by adding PLP to the bioconversion system. In Table 3, GABA yield increased significantly when PLP were added. The results revealed that PLP was beneficial to improve the GABA yield and the GABA titer leveled off after 0.1 mM PLP was added, since an overdose of PLP inhibited the enzyme reaction and could not bind with more MSG.
Effect of PLP concentration on GABA production
PLP (mM) . | GABA (g/L) . |
---|---|
0 | 35.78 |
0.05 | 40.87 |
0.10 | 48.73 |
0.15 | 48.36 |
0.20 | 48.46 |
0.25 | 48.66 |
0.30 | 48.80 |
PLP (mM) . | GABA (g/L) . |
---|---|
0 | 35.78 |
0.05 | 40.87 |
0.10 | 48.73 |
0.15 | 48.36 |
0.20 | 48.46 |
0.25 | 48.66 |
0.30 | 48.80 |
Effect of PLP concentration on GABA production
PLP (mM) . | GABA (g/L) . |
---|---|
0 | 35.78 |
0.05 | 40.87 |
0.10 | 48.73 |
0.15 | 48.36 |
0.20 | 48.46 |
0.25 | 48.66 |
0.30 | 48.80 |
PLP (mM) . | GABA (g/L) . |
---|---|
0 | 35.78 |
0.05 | 40.87 |
0.10 | 48.73 |
0.15 | 48.36 |
0.20 | 48.46 |
0.25 | 48.66 |
0.30 | 48.80 |
Effect of MSG concentration on GABA production

Effect of MSG concentration on GABA production and conversion ratio by L. brevis TCCC 13007 resting cells filled square GABA (g/L); filled circle conversion ratio (%)
Figure 4 also indicated that the reaction was first-order kinetics at the range of 40–80 g/L MSG, mixed-order kinetics at 80–110 g/L MSG, and zero-order kinetics at over 110 g/L MSG, respectively. The result suggested that this GAD-catalyzed bioconversion well fitted the Michaelis–Menten model.
Kinetic optimization of bioconversion by L. brevis TCCC 13007 resting cells
Michaelis–Menten equation is generally used to describe the kinetics of enzyme-catalyzed reactions. In this study, the result demonstrated that substrate inhibition did not exist in bioconversion process. Moreover, the kinetic characterization of biotransformation by L. brevis TCCC 13007 resting cells at the low range of MSG substrate concentration was assumed to follow the classical Michaelis–Menten equation: where Vmax is the maximum ratio achieved by the system, Km represents the Michaelis constant while [S] is MSG concentration.
A linear equation y = kx + b is fitted with 1/V and 1/[S] values by the Lineweaver–Burk double reciprocal plot. The values of the desired constant Km and Vmax can be determined directly from the plot. Further, Km is not a binding constant which measures the strength of binding between the enzyme and substrate, its value takes into account the affinity of substrate for enzyme and also the ratio in which the substrate bound to the enzyme is converted to the product. Thus, the Lineweaver–Burk double reciprocal plot was employed for the kinetic characterization of biotransformation in following two conditions.
![Kinetic analysis of bioconversion using resting cells of L. brevis TCCC 13007 at a pH values of 4.0 (filled square), 4.5 (filled circle) and 5.0 (filled triangle) and c temperatures of 35 °C (filled square), 45 °C (filled circle) and 55 °C (filled triangle). The kinetic parameters were calculated using the Michaelis–Menten equation as follows: 1V=KmVmax1[S]+1Vmax\documentclass[12pt]{minimal}
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\begin{document}$$\frac{1}{V} = \frac{{K_{\text{m}} }}{{V_{\hbox{max} } }}\frac{1}{[S]} + \frac{1}{{V_{\hbox{max} } }}$$\end{document}. Km is indicated by the filled square (b) and the Vmax is indicated by the bar (d). Data are presented as mean ± SD values from three parallel experiments](https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/jimb/44/4-5/10.1007_s10295-016-1777-z/6/m_10295_2016_1777_fig5_html.gif?Expires=1747902853&Signature=RplGrnK4Dunl5Svyb~5JV3397n1nKOxLPIsX3dbEnYZceVEoaEPUdivuBndr--Y5Xfq9Znb9PSduCMQzU1OH7BXN3BiavFnHpP836DesqfL8Eh6U4KnR01sm44XyXK27dGiNPvxE3~RxRhy6e9Glvh5DTfpf0BDBChfjtSer5wrnpGWhz1KtJfxUDSWfKzjU1mFA0-ShNzH9VRraJSe4rxHX7L61xbhDvfY4VRqJvUx01qrNNJz-MAP1HrPuDdus-D4VrUfP9hElS51toN8xOaww3BMzheKLkHhSiQcKC1cyLTgM2tg04PfwP79PpGu~hN12P~ftewq5ND-tyOIydg__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA)
Kinetic analysis of bioconversion using resting cells of L. brevis TCCC 13007 at a pH values of 4.0 (filled square), 4.5 (filled circle) and 5.0 (filled triangle) and c temperatures of 35 °C (filled square), 45 °C (filled circle) and 55 °C (filled triangle). The kinetic parameters were calculated using the Michaelis–Menten equation as follows:
Since temperature is also one of the most important factors on enzyme activity, Fig. 5c, d manifested the kinetic characterization of bioconversion from 0 to 80 g/L MSG at 35 °C, 45 °C and 55 °C (pH 4.5), respectively. The Vmax value at 45 °C (1.65 g/L/min) was apparently higher than at 35 °C (1.24 g/L/min) and 55 °C (1.42 g/L/min). In addition, the value of Km at 45 °C (7.19 g/L) was the smallest at the three bioconversion temperatures. Thus, 45 °C here is the optimal temperature of bioconversion for L. brevis TCCC 13007 resting cells.
Verification of the kinetics model of GABA bioconversion
Based on the above results, the optimal composition of bioconversion system of 80 g/L MSG concentration, 50 g/L wet resting cells in 0.6 M citrate buffer (pH 4.5) for 4 h incubation at 45 °C was determined for the verification of the supposed kinetics model. A kinetics model of GABA bioconversion by L. brevis TCCC 13007 resting cells was built using the Lineweaver–Burk double reciprocal plot, and a linear equation y = 4.3437x + 0.6072 was obtained. The result indicated that values of Km and Vmax were 7.16 g/L and 1.65 g/L/min, respectively, which were coincident with those obtained in Fig. 5. Therefore, the bioconversion of MSG to GABA by L. brevis TCCC 13007 resting cells can be described by Michaelis–Menten equation at the low range of MSG substrate concentration as follows:
Bioconversion ability of resting cells
The pH of reaction system rises during the process of the decarboxylation reaction of l-glutamic acid (l-Glu) to GABA. In general, to control the pH under a certain range, the pH of the bioconversion system must be controlled or adjusted using buffer or acid/base solution, which resulted large amounts of buffer salts or acid/base solution will be consumed. Also, adding plenty of chemicals could present a difficulty for purification of GABA. The pH value varied in the process of l-Glu consumption during GABA formation. l-Glu acts as a weak acid and its solubility in water was just 0.864 % at 25 °C [30], thus the mixture of l-Glu and MSG has a certain pH buffering capacity. Also, the excessive l-Glu precipitation in the reaction system was gradually dissolved and converted to GABA during the process of substrate consumption, and thereby maintained the pH of reaction system. Table 4 presented the initial pH of the reaction mixture at various ratios of l-Glu to MSG in 0.6 M citrate buffer at 45 °C. When the initial 80 g/L l-Glu was mixed with 240 g/L MSG, the pH of the reaction system was 4.48 and consistent with the optimal pH of GAD.
The pH of the mixture at various ratios of l-Glu to MSG in 0.6 M citric acid-sodium citrate buffer at 45 °C
l-Glu (g/L) . | MSG (g/L) . | pH . |
---|---|---|
80 | 0 | 2.06 |
80 | 20 | 2.40 |
80 | 40 | 2.64 |
80 | 60 | 2.88 |
80 | 80 | 3.11 |
80 | 100 | 3.31 |
80 | 120 | 3.50 |
80 | 140 | 3.72 |
80 | 160 | 3.93 |
80 | 180 | 4.06 |
80 | 200 | 4.20 |
80 | 220 | 4.37 |
80 | 240 | 4.48 |
80 | 260 | 4.62 |
80 | 280 | 4.70 |
80 | 300 | 4.81 |
80 | 320 | 4.92 |
l-Glu (g/L) . | MSG (g/L) . | pH . |
---|---|---|
80 | 0 | 2.06 |
80 | 20 | 2.40 |
80 | 40 | 2.64 |
80 | 60 | 2.88 |
80 | 80 | 3.11 |
80 | 100 | 3.31 |
80 | 120 | 3.50 |
80 | 140 | 3.72 |
80 | 160 | 3.93 |
80 | 180 | 4.06 |
80 | 200 | 4.20 |
80 | 220 | 4.37 |
80 | 240 | 4.48 |
80 | 260 | 4.62 |
80 | 280 | 4.70 |
80 | 300 | 4.81 |
80 | 320 | 4.92 |
The pH of the mixture at various ratios of l-Glu to MSG in 0.6 M citric acid-sodium citrate buffer at 45 °C
l-Glu (g/L) . | MSG (g/L) . | pH . |
---|---|---|
80 | 0 | 2.06 |
80 | 20 | 2.40 |
80 | 40 | 2.64 |
80 | 60 | 2.88 |
80 | 80 | 3.11 |
80 | 100 | 3.31 |
80 | 120 | 3.50 |
80 | 140 | 3.72 |
80 | 160 | 3.93 |
80 | 180 | 4.06 |
80 | 200 | 4.20 |
80 | 220 | 4.37 |
80 | 240 | 4.48 |
80 | 260 | 4.62 |
80 | 280 | 4.70 |
80 | 300 | 4.81 |
80 | 320 | 4.92 |
l-Glu (g/L) . | MSG (g/L) . | pH . |
---|---|---|
80 | 0 | 2.06 |
80 | 20 | 2.40 |
80 | 40 | 2.64 |
80 | 60 | 2.88 |
80 | 80 | 3.11 |
80 | 100 | 3.31 |
80 | 120 | 3.50 |
80 | 140 | 3.72 |
80 | 160 | 3.93 |
80 | 180 | 4.06 |
80 | 200 | 4.20 |
80 | 220 | 4.37 |
80 | 240 | 4.48 |
80 | 260 | 4.62 |
80 | 280 | 4.70 |
80 | 300 | 4.81 |
80 | 320 | 4.92 |

Bioconversion ability of resting cells of L. brevis TCCC 13007 filled square GABA (g/L); filled circle pH
Discussion
Recently, fermentation method and immobilized cell reaction are the most commonly used in biological process, and resting cell bioconversion is not as the main method for GABA production. Huang et al. [8] used immobilized whole cells of L. brevis CGMCC 1306 with high GAD activity for GABA production, and the GABA concentration of about 55 mM was obtained during the 10 h of operation. Choi et al. [3] optimized a semicontinuous cell entrapment system using L. brevis GABA 057, and 223 mM GABA was produced after 48 h of reaction. Moreover, Li et al. [34] developed a simple process for efficient GABA production by fed-batch fermentation using L. brevis NCL912, and high yield of GABA (1005.81 ± 47.88 mM) was achieved at 48 h. Kim and Lee [35] applied GAD from recombinant E. coli to bubble column reactors for GABA production, and 1.2 M of GABA was produced after 6 h with a conversion ratio of 80 %.
The research of this paper introduced an efficient bioconversion method using L. brevis TCCC 13007 to produce GABA. Several culture conditions have been optimized and optimal results were obtained. Besides, kinetic analysis of pH and temperature, which were considered as the important factors for GABA production, were studied. Therefore, resting cells bioconversion could be used as a novel approach for GABA production when the optimal bioconversion conditions were under control. At last, due to its pH buffering capacity, a mixture of 80 g/L Glu and 240 g/L MSG was added into the buffer system to verify the bioconversion ability of resting cells. The yield of 201.18 g/L GABA was obtained after 10 h reaction with a high molar bioconversion ratio of 99.4 %. Overall, this study provided a strong groundwork for green GABA production by resting cells.
Conclusion
This study revealed that the efficient bioconversion by L. brevis TCCC 13007 resting cells was a promising process for GABA production. By 10 h bioconversion, the GABA titer of 201.18 g/L together with a high molar bioconversion ratio of 99.4 % was obtained. Furthermore, the bioconversion of MSG to GABA by L. brevis TCCC 13007 resting cells followed the classical Michaelis–Menten equation at the low substrate concentration (0 < S < 80 g/L). Therefore, this process presents a hopeful potential for industrial and commercial applications and also offers a promising feasibility of continuous GABA production coupled with fermentation.
Acknowledgments
This study was supported by the National Basic Research Program of China (973 Program) (2013CB734004), the National High-tech R&D Program (863 Program) (2012AA021032), and the National Natural Science Foundation of China (31370075 & 31471725).
References
Zhang Y, Gao NF, Feng Y, Song L, Gao Q (2010) Biotransformation of sodium l-glutamate to γ-aminobutyric acid by L. brevis TCCC 13007 with two glutamate decarboxylase genes. In: 2010 4th international conference on bioinformatics and biomedical engineering (iCBBE 2010), vol. 2, p 1–4