Growth optimization of a probiotic candidate,Bifidobacterium pseudocatenulatum G4, in milk medium using response surface methodology

Stephenie, W.; Kabeir, Barka Mohammed; Mustafa, Shuhaimi; Mohamad, Rosfarizan; Yazid, A.M.

doi:10.1007/bf03028634

Cited by 23 publications

(13 citation statements)

References 21 publications

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“…2001a, 2001b), its potential as probiotic candidate (Wong et al. 2006) and its potential growth in food grade milk‐based medium (Stephenie et al. 2007).…”

Section: Introductionmentioning

confidence: 99%

“…One commonly found species of bifidobacteria in breast-fed infants is Bifidobacterium pseudocatenulatum (Kleesen et al 1995;Shuhaimi et al 2001a), which is largely unexplored as probiotic. Earlier investigations carried out in our laboratory initiated the interest in this species, which include generation of genomic DNA fingerprint for B. pseudocatenulatum G4 by RAPD and ERIC sequence-based polymerase chain reaction (PCR) (Shuhaimi et al 2001a(Shuhaimi et al , 2001b, its potential as probiotic candidate (Wong et al 2006) and its potential growth in food grade milk-based medium (Stephenie et al 2007).…”

Section: Introductionmentioning

confidence: 99%

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Safety evaluation of Bifidobacterium pseudocatenulatum G4 as assessed in BALB/c mice

Kabeir¹,

Yazid²,

Stephenie³

et al. 2007

Lett Appl Microbiol

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Aims: To assess the safety of Bifidobacterium pseudocatenulatum G4 in BALB/c mice that involves examination of bacterial translocation, changes in the internal organs and histology of the intestinal lining. Methods and Results: Forty male BALB/c mice were randomly assigned into five groups (n = 8). Three groups were orally fed with 50 μl of three different concentrations of B. pseudocatenulatum G4 (2 × 104, 1 × 108 and 1 × 1011 CFU day−1) for 4 weeks. One group was orally administered with 50 μl of 1 × 108 CFU B. longum BB536 per day for 4 weeks and last group was used as a nonbifidobacterial treatment control, which received 50 μl of skim milk. The administered strains did not affect the general health of mice and incapable of carrying out translocation to blood or liver. There were no significant differences in the internal organ (liver, heart, kidney and spleen) indices, serum enzymes of liver (aspartate aminotransferase, alkaline phosphate, alanine aminotransferase) and kidney (urea and creatinine) and histology (villi height, crypts height, mucosa thickness and epithelial cell height) of caecum, ileum and colon. Conclusion: Administration of high dose of up to 1 × 1011 CFU B. pseudocatenulatum G4 per day to mice did not show any health threatening symptoms. Significance and Impact of the Study: Bifidobacterium pseudocatenulatum G4 is none pathogenic to BALB/c mice and could be safe probiotic for human consumption.

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“…2001a, 2001b), its potential as probiotic candidate (Wong et al. 2006) and its potential growth in food grade milk‐based medium (Stephenie et al. 2007).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Safety evaluation of Bifidobacterium pseudocatenulatum G4 as assessed in BALB/c mice

Kabeir¹,

Yazid²,

Stephenie³

et al. 2007

Lett Appl Microbiol

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“…The culture was incubated at 37°C for 24 h and subcultures over 2 successive days. Response surface methodology (RSM), an empirical modeling technique, is a useful tool for process improvement [12]. Central Composite Design (CCD) was used for predicting the growth of B. cereus with the software Design-Expert (version 7.0, State-Ease Inc., Minneapolis, MN, USA).…”

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confidence: 99%

A predictive model for the growth rate of Bacillus cereus in broth by response surface methodology

Heo

Lee

2009

Biotechnol Bioproc E

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^Äëíê~Åí= A response surface methodology (RSM) was developed for predicting the growth rate of _~Åáääìë=ÅÉêÉìë in a tryptic soy broth medium as a function of temperature (10 to 40°C), pH (5.5 to 8.5), and the NaCl concentration (0 to 8%). The primary model showed a good fit (r 2 = 0.920 to 0.999) to a Gompertz equation to obtain growth rates each conditionK=The quadratic polynomial model was found to be significant (é < 0.0001) and predicted values were found to be in good agreement with experimental values (R 2 value of 0.9486). The evaluation of RSM for describing the growth rate of _K=ÅÉêÉìë used the bias factor (B f ) and the accuracy factor (A f ). Both the B f value (1.11) and the A f value (1.50) were within acceptable ranges. This model was provided an efficient and accurate method for predicting the growth of _K=ÅÉêÉìë as a function of the controlling factors. © KSBB hÉóïçêÇëW=êÉëéçåëÉ=ëìêÑ~ÅÉ=ãÉíÜçÇçäçÖó=EopjFI=Bacillus cereusI=ÖêçïíÜ=ê~íÉëI=éêÉÇáÅíáîÉ=ãçÇÉäI=dçãéÉêíò= fkqolar`qflk=Bacillus cereus is a gram positive, aerobic or facultative anaerobic, spore-forming organism [1] that is able to survive over a pH range of 4.3~9.3 and a temperature range of 4~55°C. B. cereus causes either emesis or diarrhea [2]. The emetic syndrome is mediated by a highly stable toxin that survives high temperatures and exposure to trypsin, pepsin, and pH extremes. The diarrheal syndrome is mediated by a heat and acid-labile enterotoxin. Foods involved in diarrheal outbreaks are quite varied, including vegetables, salads, meats, and casseroles. In contrast, emetic type outbreaks are usually associated with rice in some form, or other starchy foods such as macaroni and vanilla slices [3].The environmental factors of temperature, pH, water activity, and sodium chloride (NaCl) and CO 2 concentrations are often considered constant during growth of microorganisms. It is, therefore, important to predict the growth of microorganisms while taking into account food characteristics and environmental conditions [4]. Predictive modeling provides a fast and relatively cost-effective way to obtain reliable first estimates of microbial growth and survival [5]. Therefore, predictive modeling has been performed to im-G`çêêÉëéçåÇáåÖ=~ìíÜçê= prove the shelf life and safety of foods [6].Modeling the growth of B. cereus has been investigated. Second-order polynomial equations have been proposed to model the growth kinetic parameters depending on independent variables [7-10]. Lanciotti et al.[11] used application of the logistic regression model in food microbiology using B. cereus in model systems based on water activity, pH, temperature, and the ethanol concentration.We have modeled the growth of B. cereus as a function of incubation temperature, pH, and the NaCl concentration. The individual effects and the interaction of these factors were also analyzed using a quadratic response surface methodology. j^qbof^ip=^ka=jbqelap= píê~áåë=~åÇ=`ìäíìêÉ=`çåÇáíáçåë= B. cereus F4810/72 producing an emetic toxin was used in this study. A stock culture was...

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“…Since yeast extract ( x 2 ) was the sole nitrogen, it must be considered in the medium optimization. Improvement of growth of bifidobacteria could be achieved using yeast extract at concentration higher than 1.0% without the addition of glucose [17]. As a result, final-order equation (coded term) was generated based on the first-order model to determine the biomass production response ( y 1 ) to the medium composition containing skim milk ( x 1 ) and yeast extract ( x 2 ) factors, which give

\begin{matrix} y_{1} = 6.2 + 1.09 x_{1} + 0.3 x_{2} . \end{matrix}

For every unit increase in x 1 , an increase of 1.09 units in y 1 is predicted (2).…”

Section: Resultsmentioning

confidence: 99%

Optimization of Milk-Based Medium for Efficient Cultivation ofBifidobacterium pseudocatenulatumG4 Using Face-Centered Central Composite-Response Surface Methodology

Khalil

Mustafa

Mohammad

et al. 2014

BioMed Research International

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This study was undertaken to optimize skim milk and yeast extract concentration as a cultivation medium for optimal Bifidobacteria pseudocatenulatum G4 (G4) biomass and β-galactosidase production as well as lactose and free amino nitrogen (FAN) balance after cultivation period. Optimization process in this study involved four steps: screening for significant factors using 23 full factorial design, steepest ascent, optimization using FCCD-RSM, and verification. From screening steps, skim milk and yeast extract showed significant influence on the biomass production and, based on the steepest ascent step, middle points of skim milk (6% wt/vol) and yeast extract (1.89% wt/vol) were obtained. A polynomial regression model in FCCD-RSM revealed that both factors were found significant and the strongest influence was given by skim milk concentration. Optimum concentrations of skim milk and yeast extract for maximum biomass G4 and β-galactosidase production meanwhile low in lactose and FAN balance after cultivation period were 5.89% (wt/vol) and 2.31% (wt/vol), respectively. The validation experiments showed that the predicted and experimental values are not significantly different, indicating that the FCCD-RSM model developed is sufficient to describe the cultivation process of G4 using skim-milk-based medium with the addition of yeast extract.

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Growth optimization of a probiotic candidate,Bifidobacterium pseudocatenulatum G4, in milk medium using response surface methodology

Cited by 23 publications

References 21 publications

Safety evaluation of Bifidobacterium pseudocatenulatum G4 as assessed in BALB/c mice

Safety evaluation of Bifidobacterium pseudocatenulatum G4 as assessed in BALB/c mice

A predictive model for the growth rate of Bacillus cereus in broth by response surface methodology

Optimization of Milk-Based Medium for Efficient Cultivation ofBifidobacterium pseudocatenulatumG4 Using Face-Centered Central Composite-Response Surface Methodology

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