Chief EditorT. Mohapatra
Print ISSN 0367-8245
Online ISSN 0976-058X
NAAS Rating 5.20
Full Research Article
Study the Effect of Different Renewable Carbon Sources on the Succinic Acid Biosynthesis by Optimization Culture Composition using 4-Liter Scale Bioreactor
Methods: This research aims to develop an evaluation of three succinate bacteria on succinic acid production. Also, it aims to demonstrate a comparative analysis of the Succinic acid production by three raw carbon sources (Corn fiber, Cane molasses and orange peel). The flask batch method and the 4-L Bioreactor were employed in the evaluation.
Result: The results of the study showed that the Actinobacillus succinogenes is the best succinate bacteria to provide commercial Succinic acid. The presence of 10 g of glucose was satisfactory in improving the fermentation among all bacteria. The highest Succinic acid production was 12.8 g/L provided by the corn fiber. The lowest succinic acid production was 18% less than the glucose medium that the orange peel gave. The results revealed a significant impact of the raw material composition on the production outcomes. At the bioreactor, the cells exhibited an exponential phase with rate growth of 0.175 [g/L.h] and the maximum Succinic acid produced was 25 g/L.
SA is naturally found in fruits during their early maturation. However, the acid tends to convert to succinate salt. Since this process cannot be controlled, it is considered ineffective for the production. The gap motivated researchers to find a better alternatives. To produce large acid quantities a complex chemical reaction is required which involve expensive petroleum and metal catalysis (Nghiem et al., 2017).
The microbial fermentation process is advantageous since it can provide commercial SA quantities from renewable sources and it consumes CO2 gas in the process (Song and Lee, 2006). Technically, several pathways have been reported for SA production with alternative routes that can be expected. Yet, it is believed that the most agreed-on is SA is a final product in the metabolite of phosphoenolpyruvate carboxylase. The carboxylation of phosphoenolpyruvate (PEP) to oxaloacetate (OAA) is the key step in the production (Su et al., 2022). Using bacteria in SA production is the dominant SA source. The bacterial fermentation process is anaerobic with the advantage of genetic modification if required (Kaur and Kaur, 2018). Several researchers engineered Strains and modified the bacterial processes. By focusing on fermentation by bacteria, Anaerobiospirillum succiniciproducens (Ahn et al., 2016), Actinobacillus succinogenes (de Jong et al., 2012) and Mannheimia succiniciproducens (Song et al., 2008) were sought as effective since the SA production range varied between 32 g/L up to 105g/L (Nghiem et al., 2017) .
Utilizing fermentation gives more flexibility in selecting carbon sources. Commonly, mediums such as Glucose, Lactose, Arabinose, Xylose and Fructose can provide massive SA production (Podleśny et al., 2017). For instance, in preparing SA, the Actinobacillus succinogenes was fermented in a packed-bed reactor, where glucose was compared to different carbon sources. The optimal results were found at the glucose medium with a conversion of 88% and the volumetric productivity was 22 g L-1 h-1 (Ferone et al., 2018).
On the other hand, using Actinobacillus succinogenes and Basfia succiniciproducens to convert lactose resulted in the yield and concentration of SA dropping to 0.34 g g-1 and 13 g L-1 and the sugar consumption decreased from more than 99 to less than 55% (Terboven et al., 2021). Some studies considered further optimization by combining substrates of glucose and arabinose he succinate production reached to 10.2 mM succinate was produced. This is the highest succinate production under aerobic conditions in minimal medium (Joshi et al., 2019), (Liu et al., 2013). The Basfia succiniciproducens was investigated using Xylose as a carbon source. SA production reached 19 g/L with 0.62 g/g yield and 1.9 g/(L.h) productivity (Stylianou et al., 2021).
Despite the optimization process on the fermentation process, a cost reduction is still necessary. As a result, many researchers focused on investigating cheap renewable carbon sources to gain additional SA. The optimum nominated source should have specific properties such as conversion ability, low intermediate by-production, heavy tolerance and huge mass availability. Zhang et al., (2012) examined corn fiber as supplementary to the SA enhancement. The suggestion was motivated by the corn fiber hydrolysate constitutes. The corn fiber contains three sugars which are glucose, arabinose and xylose.
Despite the good results, the study served with different additives to comply with the bacteria (Zhang et al., 2012). Another cheap renewable source with massive controversy is cane molasses. The cane molasses was investigated and reported mediocre SA productivity of 0.57 g/L.h. This was not the only rising issue; the cane molasses was reported uncommercial due to the toxic involved with the sulfuric acid production. However, the improvement of purification technology has led to the consideration of the cane molasses again (Kuhnert et al., 2010). An effort to utilize the wasted orange peels resulted in an improvement of the SA production. However, it also unleashes a new question regarding the degradation of natural lignocellulosic Feedstocks by succinogenes (Zeikus et al., 1999).
Obviously, when a diverse group of bacteria, waste bioproducts and operating conditions were gathered, it became difficult to reach a holistic view of the success of the SA production. Thus, the current research evaluates the succinate bacteria’s influence on SA production and other factors. A second aim is to demonstrate a comparative evaluation of the SA production by the corn fibre, cane molasses and orange peel.
MATERIALS AND METHODS
Three Succinogenes strains were under investigation, which are Basfia succiniciproducens (S01), Actinobacillus succinogenes (S02), Mannheimia succiniciproducens (S03). In 2022, The Succinogenes strains were received from the Biological Research Service Department at the Ministry of Science and Technology in Iraq and start searching directly. All media used in strains preparation and media for optimization were purchased from (Al Thiqa) company for Chemicals and laboratory supplies in Baghdad.
Strain preparation for succinic acid production
A mixture of 50 mL glycerol stock and 25 mL of culture medium was used for the cell incubation at a temperature of -80°C. For all the strains, the medium used was composed of 6.0 g glucose, 10.0 g yeast extract, 8.0 g NaHCO3, 8.5 g NaH2PO4·H2O, 15.5 g K2HPO4, 1.0 g (NH4)2SO4, 0.2 g MgCl2·6H2O, 0.2 g CaCl2 (Chen et al., 2011). The medium was prepared by stirring the yeast extract, NaHCO3 , NaH2PO4·H2O, K2HPO4, (NH4)2SO4, at 121°C for 15 min.
Secondly, the Glucose and CaCl2/MgCl2 solution were sterilized separately and added aseptically. After inoculation, the flasks were incubated at 37°C in a rotary shaker at 200 rpm, for 12 h, until the late exponential phase was reached.
Strain evaluation at different mediums
At the initial screening step, the effect of the medium composition on the strain productivity was evaluated. The three mediums illustrated in Table 1 were repeatedly tested for each strain.
It is worth mentioning these selected media have been endorsed and examined in detailed in the literature (Cao et al., 2018 Li et al., 2010).
Succinic acid characterization
Determination of cell dry weight
Several samples were acquired at different time intervals during the cultivations period. To determine the biomass a 1ml sample was extracted then mixed with distilled water. The dilution process continued until a factor of 1000 was reached. The critical step was employing the optical density. So, the UV Spectrophotometer was sat at the wavelength of 600 nm. The cell dry weight is estimated by the mean of the absorbance measure. The absorbance measured was compared to the calibration curve and this was how the concentration was measured. Despite the measurement variation, the results were taken triple times to ensure reproducibility of the data.
Succinic acid determination
For SA determination, the cells were extracted from the fermentation broth. The recovering process used 6000 rpm centrifugation for 10 minutes at 4°C. This study required special extra supernatant utilization to estimate SA by using (HPLC) Waters 2690 Alliance Separations Module with a flow rate of (0.6) m/min, UV detection of (210) nm, Mobile Phase H2SO4 of (0.005N), Waters 996 Photodiode Array Detector and Column: Hi-Plex H, 300 x 7.7 mm with guard column and temperature at 40°C (Alsaheb et al., 2020).
Total sugar reduction measurement
The total sugar reduction is the best indicator for incremental acid production. Therefore, the procedure was utilized by decomposition of aqueous sugars. The sugar was diluted by sulfuric acid at elevated (35°C) for 48 h to obtain carbohydrates, according to Dionísio et al., (2021). After the carbohydrates were obtained, a post-treatment with sulfuric acid and dries consisting of hydroxy methyl alfarfiral were done. The process resulted in a chemical reaction of orange color. The orange color intensity is resulted from the sugar content and could be determined by spectrophotometer. The Spectrophotometer (HACH Model DR/2500, Loveland, CO, USA) was used to determine the wavelength and calculate the sugar content. The method is known as Phenol- Sulphric Acid Method, which was steadily employed for similar purposes (Dubois et al., 1956).
Succinic acid production optimization for flask scale
Cane Molasses, Corn Fiber and Orange peel were examined to maximize SA production. The investigation used the cheap materials as main carbon sources. The materials were purchased from a local market in Baghdad. Iraq. The main motivation behind the selection is the composition of the raw materials. Corn Fiber comprises approximately 30 to 50% arabinoxylan, 15 to 20% cellulose and 10 to 25% adherent starch
Bioreactor application for Succinic acid production
New Brunswick bioflo reactor of 4-L used for the continuous fermentation process. Additional adjustment was made to measure the biomass. The biomass concentrator reactor (BCR) was designed, then the model executed by Stainless Steel Welding Services Pty. Ltd in Australia.
For the selected medium, a 1000 ml flask was prepared separately. The solution added aseptically to the Bioreactor before inoculation.
The dissolved oxygen was set at 100% saturation before inoculation. A continuous adjustment to the speed maintained at 30% to control oxygen concentration. A silicon antifoam grade A was added to manage any expected foam occurrence. The silicon purchased from Sigma-Aldrich, USA (Abd et al., 2022).
RESULTS AND DISCUSSION
During the pre-evaluation, the bacteria life cycle was about two days. When 36 h was reached, the three bacteria entered the stationary phase. Eventually, the population growth declined between 40 h to 48 h and reached the death phase. The death phase occurred even though the media component was still not fully consumed. All the results demonstrate the effect of mediums on the bacteria performance by four main indications 1, SA production, 2, cell dry weight, 3, biomass and 4, Total sugar. All the mediums in the study exerted a positive effect on SA production. The results indicate similar behavior, which supports reliable outcomes across the parameters.
Fig 1 shows the results of medium for all bacteria. Actinobacillus succinogenes (S02) has higher than the Mannheimia succiniciproducens (S03) then Basfia Succiniciproducens (S01). In (Fig 1-a), the SA produced by S02 is 6 g/L, which is around 2 g/L more than S01 and S03. Looking at (Fig 1-b), up to 25% additional dry cell weight was achieved by the S02 compared to S01 and S03. The biomass of S02 is more than the other two bacteria. This is because medium one contains 60 g of sugar as the primary source of carbon.
These findings confirm that the Actinobacillus Succinogenes have high sugar consumption during the fermentation. The findings came similar to the observation of the A. succinogenes in rumen. The microorganism was adapted to a symbiotic role in the rumen and produced 74 g of SA (Guettler et al., 1999). In the current study, the mechanism is expected to adhere to the glucose uptake by the A. succinogenes. The A. succinogenes’s ability to produce large amounts of succinate is attributed to its genome, which encodes a sugar transport protein (McKinlay et al., 2010). However, it is still plausible that the total sugar consumed by Actinobacillus succinogenes can be increased under different condition (Almqvist et al., 2016).
The results reported in (Fig 2) shows that Actinobacillus succinogenes (S02) produced 3.50 g/L. So in order to judge the result, it is crucial to bear in mind that medium two does not contain sugar or glucose, but uses Polypeptone as the primary carbon source. The mediocre succinic production for all the strains is due to the nature of Polypeptone. It is known that the biological constituents of Polypeptone have a mixture of casein peptone and meat peptone. The component of Polypeptone can increase cell density for several bacteria. Specific recent studies conducted on Actinobacillus succinogenes with Polypeptone proved that cell growth had accelerated and production increased (Pinkian et al., 2018; Kanchanasuta et al., 2020).
Regarding the cell dry weight, the recorded quantities of different strains seem far less than what has been obtained by medium one. For each strain, the results were lowered to 2.50 g/L, 1.75 g/L and 1.00 g/L. The total sugar consumed by S02 is 6.50 g/L compared to 4.25 g/L and 6.00 g/L for the other bacteria.
In Fig 3 the effect of glucose as the main component of the medium is demonstrated. The SA production exceeded what has been obtained by mediums one and two for all the strains. By analyzing S02, SA production is around 12.5 g/L, which is 60% more than S01 and S03. Furthermore, the cell dry weight recorded the quantities of the three types of strains as follow: 8.50 g/L, 5.00 g/L and 3.50 g/L for S02, S01 and S03, respectively. Regarding sugars utilization, the total sugar consumed by S02 is 7.50 g/L compared to 6.25 g/L for S03 and 5.00 g/L for S01.
S03 revealed weakness in attaining satisfactory SA production in all the mediums. S01 performance was moderate with potentiality at medium three. S02 had the utmost SA production quantity. The S02 has great performance in medium three especially, which attributes to the superiority of glucose over sugar and Polypeptone. Because glucose better absorbed in the reaction and accelerated bacteria growth (Liu et al., 2008; Ferone et al., 2019; Lin et al., 2020).
Our findings appear to be well substantiated by the pathway of the Actinobacillus succinogenes in Glucose medium (McKinlay et al., 2007), (Bradfield et al., 2014). It has been proved that sufficient Glucose utilization as a substrate, can enhance the succinate yield and improves the quality (Liu et al., 2013). In fact that associated with the low glucose concentration, so the SA would not be affected by cell fluctuation or inhibitors (Li et al., 2010).
S01 and S03 could be beneficial only if further investigations of carbon source utilization were conducted. Lastly, the second part of the study will only focus on S02 optimum at medium three.
Effect of raw materials on Succinic acid production
At this point, different types of sugars were involved in the process and were used as a carbon sources. By scrutinizing the typical raw material components, the corn fiber consists of 35% hemicellulose, 18% cellulose and 20% remaining starch (Gáspár et al., 2007). In contrast, Cane Molasses has glucose and fructose with an average concentration of 8.1 and 5.3%, respectively (Palmonari et al., 2020). the orange peel contains 16.9% soluble sugars, 9.21% cellulose and 10.5% hemicelluloses (Badaró et al., 2020). This variation in the composition revealed an impact on the magnitude of SA production. As seen in (Fig 4), the SA production vs material concentration manifests different SA levels. There is no question that the corn fiber produced the highest Succinic acid. The total SA production increased by 6 g/L, approximately more than medium three. For the Cane Molasses, an addition of 1 g/L was observed. Surprisingly, the orange peel did not show any addition, but it seems to produce less than medium three.
Fig 4 elucidates a semi linear relation between the Orange Peel concentration and SA production. The second observation is that cane molasses stabilized production when the concentration reached 8 g/L. This means that any further addition of cane molasses will not be fermented. These results imply that S02 could efficiently ferment the combination of sugars in corn fiber.
Effect of raw materials on cell dry weight
In Fig 5, cane molasses and corn fiber are showing inconsistency between the increasing concentration and the cell dry weight. The results show that the intermediate content of sugar in cane molasses resulted in a slight drop in the middle concentrations. The lowest dry cell weight obtained is for the orange peel. When the corn fiber was used as a carbon source, the operation changed and the cell dry weight is 33% more than the cane molasses and 100% more than the orange peel. By comparing the previous cell dry weight obtained by medium three and the current carbon sources, 60% and 18% increase by corn fiber and cane molasses, respectively. The results in Fig 6 show high biomass retained from all the examined cultures.
Effect of raw materials on total sugar
The specific sugar consumption is a significant indication of cell growth. As much sugar is consumed SA production increases. The initial total sugar content varies as the carbon sources vary in the examination. However, at the end of the 48 h a significant trend appears, as seen in Fig 6.
Fig 6 illustrates the relationship between the sample concentration and the sugar consumed by S02. A clear consumption pattern, especially for the corn fiber, supports the possibility of high SA. The corn fiber reached the total sugar content of zero; this was interpreted by the S02 entirely consuming the culture content. However, this is not the case for the orange peel and the cane molasses. The sugar depletion follows a linear trend for increasing the concentration for all samples.
The findings support the study hypothesis. The corn fiber has successfully attained all the criteria required to obtain SA in the flask experiments. No consideration could limit the ultimate SA production by the S02 at the corn fiber medium. Thus, it will be continued to the 4-L bioreactor examination to predict the industrialization benefits.
Succinic acid production and kinetics of bioprocess parameter in 4-litter bioreactor
Corn fiber was selected to continue the scale-up examination for the large-scale fermentation process. 10 g/L of Corn fiber was utilized to isolate Actinobacillus succinogenes. in the 4-L Bioreactor. The medium used in the process is composed of Corn fiber 10.0, 10.0 g yeast extract, 8.0 g NaHCO3, 8.5 g NaH2PO4·H2O, 15.5 g K2HPO4, 1.0 g (NH4)2SO4, 0.2 g MgCl2·6H2O, 0.2 g CaCl2. The bioreactor ran under controlled pH conditions, where the initial pH sat at 7.0. The cultivation process was taken after 48 h; as had been practiced in the flask experiments.
It was noticed that the pH reduced to 6.5 after 3 h of cultivation. From the observation, the cells reached the stationary phase only after 3h. The cells entered the exponential phase with a growth rate of 0.175 [g/L.h]. The maximum growth rate and specific SA production are 1.024 [g/L] and1.175 [g/g], respectively.
During the process, the SA increased over time, as illustrated in Fig 7. SA production is 5.75, 11.30, 15.50, 22.00 g/L at 6, 12 and 24h. This indicates that the Bioreactor was able to give a similar result to the shake flask only after 12 hours. It is a quarter of the time needed previously. The maximal SA production value is 25.00 g/L. Besides, the cell dry weight and biomass, as seen in (Fig 7), were escalated during the fermentation process and reached a maximum value of 19.00 g/L and 20.50 g/L, respectively.
Apparently, both values are 50% higher than reported for the shake flask culture. The total sugar in batch bioreactor 4-L cultivation is reducing gradually from 18.00 g/L to null. Presumably, the sugar diminishes has occurred approximately between 36 h to 48 h. The quantity of dissolved oxygen (DO) decreased gradually from 100% to 25.00% at the end of fermentation. All the findings at the bioreactor stage could be explained by the effects of corn fiber (sugar complexity) and the production of many acids during the Actinobacillus succinogenes fermentation pathway (Alsaheb et al., 2020; Raje Nimbalkar et al., 2022).
1-There is clear evidence that the Actinobacillus succinogenes is the best succinate bacteria to provide commercial SA. The 10 g glucose presence is sufficient to improve all succinate bacteria performance. The highest SA production was 12.5 g/L.
2-The comparison between the corn fiber, cane molasses and orange peel indicates potential replacement for the traditional carbon source. This is proved by the highest SA provided by corn fiber/ Actinobacillus succinogenes fermentation.
3-At the 4-L Bioreactor, the 10 g corn fiber provided 25 g/L of SA. The exponential growth rate of 0.175 [g/L.h] and specific growth rate of 1.024 g/L is a unique characteristics of the Actinobacillus succinogenes in the selected medium. Although the comparison proved the corn fiber applicability, further investigation on different medium composition/conditions is needed.
CONFLICT OF INTEREST
- Abd, A.R.A., Abdullah, J.K. and Lafi, A.S.A. (2022). Systematic comparison of gluconic acid optimization produced by aspergillus using raw bioresources cultivation medium. Journal of Engineering Science and Technology. 17(1): 673-688.
- Ahn, Jung, H., Yu-Sin, J. and Lee, S.Y. (2012). Production of succinic acid by metabolically engineered microorganisms. Current Opinion in Biotechnology. 42(2016): 54-66.12.
- de Jong, E., Higson, A., Walsh, P., Wellisch, M. (2012). Bio-based chemicals value added products from biorefineries. IEA Bioenergy, Task42 Biorefinery 34.
- Almqvist, H., Pateraki, C., Alexandri, M., Koutinas, A. and Lidén, G. (2016). Succinic acid production by Actinobacillus succinogenes from batch fermentation of mixed sugars. Journal of Industrial Microbiology and Biotechnology. 43(8): 1117-1130.
- Alsaheb, R.A., Zjeh, K.Z., Malek, R.A., Abdullah, J.K., El Baz, A., El Deeb, N. and Enshasy, H.E. (2020). Bioprocess optimization for exopolysaccharides production by ganoderma lucidum in semi-industrial scale. Recent Patents on Food, Nutrition and Agriculture. 11(3): 211-218.
- Badaró, A.T., Garcia-Martin, J.F., Lopez-Barrera, M.D.C., Barbin, D.F. and Alvarez-Mateos, P. (2020). Determination of pectin content in orange peels by near infrared hyperspectral imaging. Food Chemistry. 323: 126861.
- Bampidis, V.A. and Robinson, P.H. (2006). Citrus by-products as ruminant feeds: A review. Animal Feed Science and Technology. 128(3-4): 175-217.
- Bradfield, M.F.A. and Nicol, W. (2014). Continuous succinic acid production by Actinobacillus succinogenes in a biofilm reactor: Steady-state metabolic flux variation. Biochemical Engineering Journal. 85: 1-7.
- Cao, W., Wang, Y., Luo, J., Yin, J., Xing, J. and Wan, Y. (2018). Succinic acid biosynthesis from cane molasses under low pH by Actinobacillus succinogenes immobilized in luffa sponge matrices. Bioresource Technology. 268: 45-51.
- Carvalho, M.D.S.F.M.D. (2015). Bioproduction of succinic acid from renewable feedstocks by Actinobacillus succinogenes 130Z.
- Chan, S., Kanchanatawee, S. and Jantama, K. (2012). Production of succinic acid from sucrose and sugarcane molasses by metabolically engineered Escherichia coli. Bioresource Technology. 103(1): 329-336.
- Chen, K.Q., Li, J., Ma, J.F., Jiang, M., Wei, P., Liu, Z.M. and Ying, H.J. (2011). Succinic acid production by Actinobacillus succinogenes using hydrolysates of spent yeast cells and corn fiber. Bioresource Technology. 102(2): 1704-1708.
- de Jong, E., Higson, A., Walsh, P. and Wellisch, M. (2012). Bio- based chemicals value added products from biorefineries. IEA Bioenergy, Task42 Biorefinery, 34.
- Dionísio, S.R., Santoro, D.C.J., Bonan, C.I.D.G., Soares, L.B., Biazi, L.E., Rabelo, S.C. and Ienczak, J.L. (2021). Second- generation ethanol process for integral use of hemicellulosic and cellulosic hydrolysates from diluted sulfuric acid pretreatment of sugarcane bagasse. Fuel. 304: 121290.
- Dubois, M., Gilles, K.A., Hamilton, J.K., Rebers, P.T., Smith, F. (1956). Colorimetric method for determination of sugars and related substances. Analytical Chemistry. 28(3): 350- 356.
- Ferone, M., Raganati, F., Ercole, A., Olivieri, G., Salatino, P. and Marzocchella, A. (2018). Continuous succinic acid fermentation by Actinobacillus succinogenes in a packed- bed biofilm reactor. Biotechnology for Biofuels. 11(1): 1-11.
- Ferone, M., Raganati, F., Olivieri, G., Salatino, P., and Marzocchella, A. (2019). Continuous succinic acid fermentation by Actinobacillus succinogenes: Assessment of growth and succinic acid production kinetics. Applied Biochemistry and Biotechnology. 187(3): 782-799.
- Ganesan, B. and Weimer, B.C. (2017). Amino Acid Catabolism and its Relationship to Cheese Flavor Outcomes. In Cheese Academic Press. (pp. 483-516).
- Gáspár, M., Juhász, T., Szengyel, Z. and Réczey, K. (2005). Fractionation and utilisation of corn fibre carbohydrates. Process Biochemistry. 40(3-4): 1183-1188.
- Gáspár, M., Kálmán, G. and Réczey, K. (2007). Corn fiber as a raw material for hemicellulose and ethanol production. Process Biochemistry. 42(7): 1135-1139.
- Guettler, M.V., Rumler, D. and Jain, M.K. (1999). Actinobacillus succinogenes sp. nov., a novel succinic-acid-producing strain from the bovine rumen. International Journal of Systematic and Evolutionary Microbiology. 49(1): 207-216.
- Joshi, E., Iyer, B. and Rajkumar, S. (2019). Glucose and arabinose dependent mineral phosphate solubilization and its succinate-mediated catabolite repression in Rhizobium sp. RM and RS. Journal of Bioscience and Bioengineering. 128(5): 551-557.
- Kanchanasuta, S., Sillaparassamee, O., Champreda, V., Singhakant, C. and Pisutpaisal, N. (2020). Optimization of pretreatment process of cassava rhizome for bio-succinic fermentation by Actinobacillus succinogenes. Biomass Conversion and Biorefinery. 1-8.
- Kaur, R. and Kaur, S. (2018). Biological alternates to synthetic fertilizers: Efficiency and future scopes. Indian Journal of Agricultural Research. 52(6): 587-595.
- Kuhnert, P., Scholten, E., Haefner, S., Mayor, D. and Frey, J. (2010). Basfia succiniciproducens gen. nov., sp. nov., a new member of the family Pasteurellaceae isolated from bovine rumen. International Journal of Systematic and Evolutionary Microbiology. 60(1): 44-50.
- Li, Q., Siles, J.A. and Thompson, I.P. (2010). Succinic acid production from orange peel and wheat straw by batch fermentations of Fibrobacter succinogenes S85. Applied Microbiology and Biotechnology. 88(3): 671-678.
- Lin, B.J., Chen, W.H., Lin, Y.Y., Chang, J.S., Farooq, A., Singh, Y. and Show, P.L. (2020). An evaluation of thermal characteristics of bacterium Actinobacillus succinogenes for energy use and circular bioeconomy. Bioresource Technology. 301: 122774.
- Liu, R., Liang, L., Li, F., Wu, M., Chen, K., Ma, J. and Ouyang, P. (2013). Efficient succinic acid production from lignocellulosic biomass by simultaneous utilization of glucose and xylose in engineered Escherichia coli. Bioresource Technology. 149: 84-91.
- Liu, Y.P., Zheng, P., Sun, Z.H., Ni, Y., Dong, J.J. and Wei, P. (2008). Strategies of pH control and glucose fed batch fermentation for production of succinic acid by Actinobacillus succinogenes CGMCC1593. Journal of Chemical Technology and Biotechnology: International Research in Process, Environmental and Clean Technology. 83(5): 722-729.
- McKinlay, J.B., Laivenieks, M., Schindler, B.D., McKinlay, A.A., Siddaramappa, S., Challacombe, J. F. and Vieille, C. (2010). A genomic perspective on the potential of Actinobacillus succinogenes for industrial succinate production. BMC Genomics. 11(1): 1-16.
- McKinlay, J.B., Shachar-Hill, Y., Zeikus, J.G. and Vieille, C. (2007). Determining Actinobacillus succinogenes metabolic pathways and fluxes by NMR and GC-MS analyses of 13C-labeled metabolic product isotopomers. Metabolic Engineering. 9(2): 177-192.
- Meena, R.S., Patel, D., De, N., Singh, A., Gurjar, D.S., Kumar, S. and Pradhan, G. (2020). Response of polymers and nutrient management on growth, yield and quality of Indian mustard (Brassica juncea). Indian Journal of Agricultural Sciences. 90, 11.
- Nghiem, N.P., Kleff, S. and Schwegmann, S. (2017). Succinic acid: Technology development and commercialization. Fermentation. 3(2): 26. https://doi.org/10.3390/fermentation3020026.
- Palmonari, A., Cavallini, D., Sniffen, C.J., Fernandes, L., Holder, P., Fagioli, L. and Mammi, L. (2020). Characterization of molasses chemical composition. Journal of Dairy Science. 103(7): 6244-6249.
- Pinkian, N., Phuengjayaem, S., Tanasupawat, S. and Teeradakorn, S. (2018). Optimization of succinic acid production by succinic acid bacteria isolated in Thailand. Songklanakarin Journal of Science and Technology. 40(6): 1281-1290.
- Podleœny, M., Kubik-Komar, A., Kucharska, J., Wyrostek, J., Jarocki, P. and Targoñski, Z. (2017). Media optimization for economic succinic acid production by enterobacter sp. LU1. AMB Express. 7(1): 1-10.
- RajeNimbalkar, R.U., Barge, N.S., Marathe, R.J., Phatake, Y.B., Deshmukh, R.B., Dange, S.S. and Dhawan, S. S. (2022). Application of response surface methodology for optimization of siderophore production. Indian Journal of Agricultural Research. 56(2): 230-237.
- Song, H. and Lee, S.Y. (2006). Production of succinic acid by bacterial fermentation. Enzyme and Microbial Technology. 39(3): 352-361.
- Song, H., Kim, T.Y., Choi, B.K., Choi, S.J., Nielsen, L.K., Chang, H.N. and Lee, S.Y. (2008). Development of chemically defined medium for Mannheimia succiniciproducens based on its genome sequence. Applied Microbiology and Biotechnology. 79(2): 263-272.
- Stylianou, E., Pateraki, C., Ladakis, D., Vlysidis, A. and Koutinas, A. (2021). Optimization of fermentation medium for succinic acid production using Basfia succiniciproducens. Environmental Technology and Innovation. 24: 101914.
- Su, H.Y., Lin, W.H., Liang, Y.L., Chou, H.H., Wu, S.W., Shi, H.L. and Cheng, K.K. (2022). Co-production of acetoin and succinic acid using corncob hydrolysate by engineered Enterobacter cloacae. Chemical Engineering Science. 252: 117511.
- Terboven, C., Abendroth, C., Laumer, J., Herrmann, C., Schneider, R., Ramm, P. and Plöchl, M. (2021). Influence of the initial sugar concentration and supplementation with yeast extract on succinic acid fermentation in a lactose-based medium. Fermentation. 7(4): 221. https://doi.org/10.3390/ fermentation7040221.
- Wang, H., Pan, J., Wang, J., Wang, N., Zhang, J., Li, Q. and Zhou, X. (2014). Succinic acid production from xylose mother liquor by recombinant Escherichia coli strain. Biotechnology and Biotechnological Equipment. 28:1042-1049.
- Zeikus, J.G., Jain, M.K. and Elankovan, P. (1999). Biotechnology of succinic acid production and markets for derived industrial products. Applied Microbiology and Biotechnology. 51(5): 545-552.
- Zhang, Y.J., Li, Q., Zhang, Y.X., Wang, D. and Xing, J.M. (2012). Optimization of succinic acid fermentation with Actinobacillus succinogenes by response surface methodology (RSM). Journal of Zhejiang University Science B. 13(2): 103-110.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.