Optimization of nutritional and non-nutritional factors involved for production of antimicrobial compounds from Lactobacillus pentosus SJ65 using response surface methodology

Saraniya, Appukuttan; Jeevaratnam, Kadirvelu

doi:10.1590/s1517-83822014000100012

Cited by 20 publications

(23 citation statements)

References 14 publications

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“…A common feature of these microorganisms is their antagonistic activity against some pathogens such as salmonella spp., Escherichia coli , Listeria monocytogenes , Clostridium perfringens and Helicobacter hepaticus 6, 7, 8, 9, 10, 11. The capability of L. plantarum and L. reuteri in phytic acid hydrolysis is valuable in bread processing technology 12 .…”

Section: Introductionmentioning

confidence: 99%

Growth kinetic models of five species of Lactobacilli and lactose consumption in batch submerged culture

Rezvani

Ardestani

Najafpour

2017

Brazilian Journal of Microbiology

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Kinetic behaviors of five Lactobacillus strains were investigated with Contois and Exponential models. Awareness of kinetic behavior of microorganisms is essential for their industrial process design and scale up. The consistency of experimental data was evaluated using Excel software. L. bulgaricus was introduced as the most efficient strain with the highest biomass and lactic acid yield of 0.119 and 0.602 g g−1 consumed lactose, respectively. The biomass and carbohydrate yield of L. fermentum and L. lactis were slightly less and close to L. bulgaricus. Biomass and lactic acid production yield of 0.117 and 0.358 for L. fermentum and 0.114 and 0.437 g g−1 for L.actobacillus lactis were obtained. L. casei and L. delbrueckii had the less biomass yield, nearly 11.8 and 22.7% less than L. bulgaricus, respectively. L. bulgaricus (R2 = 0.9500 and 0.9156) and L. casei (R2 = 0.9552 and 0.8401) showed acceptable consistency with both models. The investigation revealed that the above mentioned models are not suitable to describe the kinetic behavior of L. fermentum (R2 = 0.9367 and 0.6991), L. delbrueckii (R2 = 0.9493 and 0.7724) and L. lactis (R2 = 0.8730 and 0.6451). Contois rate equation is a suitable model to describe the kinetic of Lactobacilli. Specific cell growth rate for L. bulgaricus, L. casei, L. fermentum, L. delbrueckii and L. lactis with Contois model in order 3.2, 3.9, 67.6, 10.4 and 9.8-fold of Exponential model.

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Section: Introductionmentioning

confidence: 99%

Growth kinetic models of five species of Lactobacilli and lactose consumption in batch submerged culture

Rezvani

Ardestani

Najafpour

2017

Brazilian Journal of Microbiology

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“…Statistical experimental designs are the strongest techniques for the fast screening of important variables from a multivariable scheme and for the reduction of mistakes in determining the impact of distinct parameters 7,23,24 . The Plackett-Burman design was employed to evaluate the significant effect of the different components of starch nitrate medium on the production of antimicrobial agents from Streptomyces sp.…”

Section: Optimization Of Antimicrobial Agent(s) Production By Streptomentioning

confidence: 99%

Antimicrobial Activity of Marine Actinomycetes and the Optimization of Culture Conditions for the Production of Antimicrobial Agent(s)

Hamed¹,

Abdelfattah²,

Fahmy³

2019

J Pure Appl Microbiol

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Citation: Moaz M. Hamed, Lamis Sh. Abdelfattah and Nayer M. Fahmy, Antimicrobial Activity of Marine Actinomycetes and the Optimization of Culture Conditions for the Production of Antimicrobial Agent(s), J Pure Appl Microbiol., 2019; 13(4):2177-2188. Abstract The aim of the present study was to isolate antagonistic actinomycetes from marine sediment collected from the Red Sea coast at Hurghada city and the Suez Gulf. A total of 16 actinomycete isolates were obtained in October 2018 and their antagonistic activities were evaluated against Aeromonas hydrophila, Vibrio damsela, Staphylococcus aureus ATCC6538, Bacillus subtilis ATCC 6633, Pseudomonas aeruginosa ATCC 9027, Salmonella typhimurium ATCC 14028, Escherichia coli ATCC 19404 and Candida albicans ATCC 10231 by using the agar well diffusion method. Among the 16 isolates, 14 (87.5%) isolates exhibited antimicrobial activity against most of the tested pathogens. The most potent isolate was identified by 16S rRNA sequence analysis as Streptomyces sp. and designated Streptomyces sp. MK388207. The experimental design of Plackett-Burman was implemented to optimize the culture conditions for antimicrobial agent(s) production by the most powerful isolate against C. albicans ATCC 10231 when grown in starch nitrate broth and the data revealed that negative (-) levels of KNO 3 , K 2 HPO 4 and pH and positive (+) levels of starch, MgSO 4 .7H 2 O, FeSO 4 and incubation period supported the production of the antimicrobial agent(s). Growth under the optimized culture conditions led to a 1.4-fold rise in antimicrobial activity. The ethyl acetate extract of Streptomyces sp.MK388207 was subjected to gasliquid chromatography mass spectrometry (GC MS) and revealed the presence of six fractions with the major component being phenol, 2,4-bis (1,1 dimethylethyl). The findings of this study suggested that the antagonistic marine Streptomyces, in particular Streptomyces sp MK388207, the antibacterial compounds produced by this isolate, could be used as antibiotics that could have future applications in the pharmaceutical industry.

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“…Statistical experimental designs are powerful tools for rapid searching of the key factors from a multivariable system and error minimization in determining the effect of parameters and the results are achieved in an economical manner (El-Sersy, 2007; Abou- Shabbiri et al, 2012;Sharma et al, 2013;Saraniya andJeevaratnam, 2014. El-Sharouny et al, 2015;Zeinab et al, 2015).…”

Section: Optimization Of Culture Conditionsmentioning

confidence: 99%

Statistical optimization and valuable applications of bioactive compounds produced by marine Pseudoalteromonas piscicida

2017

J App Pharm Sci

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Pseudoalteromonas piscicida was isolated from sea water in Suez Bay and identified using 16S rRNA sequence analysis. The bacterium produced compounds active against different pathogenic microbes including Staphylococcus aureus, Pseudomonas aeruginosa, Escherichia coli, Vibrio anguillarum, Aeromonas hydrophila and Candida albicans. Plackett Burman experimental design was applied to achieve maximum production of the bioactive compounds. It achieved 1.2 fold increase when grown in medium composed of g/l: peptone, 3; beef extract, 1; inoculum size (ml), 0.5; culture volume (ml), 25 ml; sea water concentration >100 % adjusted to pH 9 and incubation period 18h at 32 o C. Immobilization using adsorption technique on different support materials was applied to improve the productivity. Cells adsorbed on medical pumice realized 1.4 fold increase than the free cells. Recycling of the immobilized cells caused an increase by 1.5 fold than the free cells. Moreover, the anticancer activity of the produced compounds were tested against 4 cell lines (EI-4, Caco-2, HepG2, MCF-7). The highest activity (63.8%) was detected against Caco-2 cell line while very low activity was detected towards HepG2 and EI-4 cell lines. Antiviral activity was also studied. It succeeded to inhibit HCV replication at100 µg/ml. Another aim was to test the antioxidant activity. There was a significant antioxidant activity compared with ascorbic acid as control. Gas liquid chromatography mass spectroscopy was used to determine the major constituents in the benzene extract. It revealed the presence of 3 major compounds which are benzene,1-pentyloctyl, Benzene, 1-butylheptyl and di-n-octyl phthalate.

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Optimization of nutritional and non-nutritional factors involved for production of antimicrobial compounds from Lactobacillus pentosus SJ65 using response surface methodology

Cited by 20 publications

References 14 publications

Growth kinetic models of five species of Lactobacilli and lactose consumption in batch submerged culture

Growth kinetic models of five species of Lactobacilli and lactose consumption in batch submerged culture

Antimicrobial Activity of Marine Actinomycetes and the Optimization of Culture Conditions for the Production of Antimicrobial Agent(s)

Statistical optimization and valuable applications of bioactive compounds produced by marine Pseudoalteromonas piscicida

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