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Optimization of the Medium Composition of Lactobacillus rhamnous NCU239
Tao Xiong, Yin Huang, Mingyong Xie
State Key Laboratory of Food Science & Technology
College of Life Science & Food Engineering
Nanchang University, Nanchang, P.R.China
[email protected] Corresponding author. Tel:+86-791-8160069 Mobile: +86-13697084048
E-mail address:[email protected]
Keywords :::: Lactobacillus rhamnosus; MRS enrichment medium; Plackett-Burman design;
Steepest ascent path test; Central Composite Design
Abstract.MRS culture medium was used as the basic medium for optimizing the fermented
condition of Lactobacillus. rhamnosus. The four significant factors (beef extract, tween-80, peptone,
diammonium citrate) were screened from these components by using a Plackeet-Burman design.
Steepest ascent path was adopted to approach the optimal region, and then the Central Composite
Design was used to determine the optimal levels of the main factors. Considering the fit model, cost
and operation, the optimal conditions were determined as follows: beef extract 2.6%, tween-80
0.3%, peptone 2%, diammonium citrate 0.4%, with other components remaining the same, 3%
inoculation, 18h culture at 37℃.Under such conditions, the experimental value of cell concentration
were 3.54×109cfu/ml and 2.19-fold live bacteria counts in MRS-based culture medium, showing no
difference with predicted value 3.68×109cfu/ml.
Introduction
Some reports confirmed that LAB(lactic acid bacteria) are beneficial probiotics on the human
body[1,2,3]
. With deep research on LAB's unique features, making the microbial products and lactic
acid bacteria fermented product application and development have been widespread concerned in
food industry.
Lactobacillus rhamnosus belongs to Lactobacillus, rhamnose bacillus species, Gram-positive
bacteria[4]
. It was isolated from the intestine and named by Gorbach and Goldlin 80 years in the 20th
century[5,6]
. Studies have shown Lactobacillus rhamnosus many characteristcs as follows: regulation
of intestinal microecological balance; relieving diarrhea[7]
; resistant to gastric acid and bile salt;
colonized in the intestine, inhibiting invasion and growth of pathogenic bacteria[8,9]
; activating the
immune system and enhancing human immunity[10]
; reducing toxins[11,12]
; regulation of blood
pressure[13]
; anti-oxidation[14]
and other excellent physiological functions.
In this work, using Plackett-Burman design, the path of steepest ascent design and central
composite design, we ultimately got the Lactobacillus rhamnosus optimized MRS medium. It will be
important for the further high cell density culture research.
Materials and Methods
A.Bacteria strain and media
The Lactobacillus rhamnosus NCU 239 Strain uesd in our experiments was stocked by state key
laboratory of food science and technology, Nanchang university.The medium for inoculum
preparation and fermentation contained the following(in g.L
-1): 20 glucose, 10 peptone, 10 beef
extract, 5 yeast extract, 5 sodium acetate, 2 diammonium hydrogen cirate, 2 KH2PO4, 0.25
MnSO4._7H2O, 0.58 MgSO4._7H2O, 1ml tween 80.
Advanced Materials Research Vol. 365 (2012) pp 312-319Online available since 2011/Oct/24 at www.scientific.net© (2012) Trans Tech Publications, Switzerlanddoi:10.4028/www.scientific.net/AMR.365.312
All rights reserved. No part of contents of this paper may be reproduced or transmitted in any form or by any means without the written permission of TTP,www.ttp.net. (ID: 132.174.255.3, University of Southern California, Los Angeles, United States of America-09/09/13,03:19:54)
B.Inoculum preparation and counting method
To get the precultures, we scraped aseptically with inoculating loop from slant tube, inoculating
into a 250ml conical flask containing 100ml MRS medium and placing in the 37◦C incubator . When
reaching logarithmic growth phase, 3%(v/v) of the culture was used to inoculate fermentation flasks.
The numbers of lactic acid bacteria were counting by Methylene Blue direct count method[15]
.
C.Determination of Lactobacillus rhamnosus growth curve
In order to master the growth pattern of the strain and confirm the measured time of the follow-up
tests, we have identified the growth curve, using the above method. Bacterial counts have been tested
every 3 hours.
D.Experimental designs and optimization
Based on the MRS medium, through the Plackett-Burman design, we screened significant
influnce factors from 10 medium components. According to PB test results, we applied steepest
ascent path design to get a better fit model and approach the optimal response value. Finally, we used
CCD to determine the optimal concentrations of those significant factors.
Results and discussion
A. The growth curve of Lactobacillus rhamnosus
Figure 1. The growth curve of Lactobacillus rhamnosus.
The results were shown in Fig.1. During the 0h~6h, the bacteria was in the lag phase, with low
growth rate. From 6h to 12h, the number of the cell counts were increasing drastically. 15h~21h was
the stable phase of the bacteria. 21h later, the cell growth was coming into the decline phase.
Therefore, 18h was selected as the measured time of the bacteria counts in subsequent trials.
B.The results of the Plackett-Burman design
Based on MRS medium, we get the results of TableI,II as follow.
TABLE I. PLACKETT-BURMAN TEST DESIGN AND RESULTS
Run
Factors Bacteria
counts
108 cfu/ml X
1
X
2
X
3
X
4
X
5
X
6
X
7
X
8
X
9
X
1
0
1 2
3
4 5
6
7 8
9
10 11
12
1 -1
-1
1 -1
-1
-1 1
1
1 -1
1
1 1
-1
-1 1
-1
-1 -1
1
1 1
-1
1 -1
1
-1 -1
1
-1 -1
-1
1 1
1
1 1
-1
1 -1
-1
1 -1
-1
-1 1
1
1 1
1
-1 1
-1
-1 1
-1
-1 -1
1
1 1
1
1 -1
1
-1 -1
1
-1 -1
-1
1 -1
1
1 1
-1
1 -1
-1
1 -1
-1
1 -1
-1
1 1
1
-1 1
-1
-1 1
-1
1 -1
-1
-1 1
1
1 -1
1
-1 -1
1
1 1
-1
-1 -1
1
1 1
-1
1 -1
-1
22.5 15.45
15.2
12.55 12.2
18.45
15.7 12.15
11.15
23.2 18.2
12.25
Advanced Materials Research Vol. 365 313
TABLE II. DIFFERENT FACTORS AND LEVELS IN THE PLAKETT-BURMAN DESIGN AND SIGNIFICANCE OF THE REGRESSION COEFFICIENT
Factors symbol Levels Regression
coefficient P>t
-1 +1
glucose X1 1 5 -0.1167 0.3305
peptone X2 0.5 1.5 1.3667 0.0310
beef extract X3 0.5 1.5 2.5500 0.0166 yeast extract X4 0.25 1 0.3583 0.1171
sodium acetate X5 0.25 1 -0.7917 0.0535
KH2PO4 X6 0.1 0.3 0.1333 0.2952 diammonium
hydrogen cirate X7 0.1 0.3 1.1417 0.0371
MnSO4._7H2O X8 0.02 0.03 0.2583 0.1608
MgSO4._7H2O X9 0.05 0.07 -0.3750 0.1120
tween 80 X10 0.05 0.15 2.158 0.0197
The calculations were performed using JMP 7.0. The fit model (p=0.0419) has statically
significant. Through the t-test, the first four factors which affect the bacteria counts were: beef
extract, tween 80, peptone, diammonium hydrogen citrate.
Beef extract is the main nitrogen source, which contains water-soluble substances such as creatine,
creatinine, amino acids, nucleotides, organic acids, minerals and vitamins, vital for cell’s
growth.Tween80 is a condensate of sorbitol fatty acid ester and ethylene oxide. As a detergent, it can
disperse bacterial cells. On the one hand, it helps bacteria to absorb nutrients,on the other hand, it can
alleviate inhibition of the metabolites around the bacteria (mainly lactic acid), which harmful to cell
growth. Peptone provides carbon,nitrogen, other nutrients for microbial. Diammonium hydrogen
citrate can be a buffer salts, providing a certain amount of inorganic nitrogen at the same time.
Therefore, in the follow experiment-the steepest ascent path, levels of the four factors were
investigated.
C.The results of the steepest ascent path
According to the results in TableII, we had done the below design in Table III. and got the results
as follow:
TABLE III. EXPERIMENTAL DESIGN OF STEEPEST ASCENT AND RESULTS
Run Beef
Extract Tween 80 Peptone
Diammonium
Hydrogen
Cirate
Bacteria
Counts
108cfu/ml
① 1 0.1 1 0.3 20.35
② 1.5 0.15 1.5 0.35 28
③ 2 0.2 2 0.4 29.5
④ 2.5 0.25 2.5 0.45 31.35
⑤ 3 0.3 3 0.5 30.25
Figure 2. Experimental design of steepest ascent.
From Fig.2, the results shows that the cell counts could reach 3.1×109cfu/ml in group 4, as the
highest value of these 5 experiments. Therefor, we could determine the center of the CCD
experiment based on the above results.
314 Future Materials Engineering and Industry Application
D.Optimization using CCD design
Through the above 2 experimental design, we find these four factors and do the CCD design
experiment as Table IV and Table V.
TABLE IV. FACTORS AND LEVELS OF RESPONSE SURFACE DESIGN
TABLE V. CENTRAL COMPOSITE DSESIGN MATRIX AND EXPERIMENTAL RESULTS
Run A B C D Bacteria number
(109cfu/ml))))
1 -1 -1 -1 -1 3.15
2 1 -1 -1 -1 3.45
3 -1 1 -1 -1 3.47
4 1 1 -1 -1 3.59
5 -1 -1 1 -1 3.12
6 1 -1 1 -1 3.7
7 -1 1 1 -1 3.37
8 1 1 1 -1 3.55
9 -1 -1 -1 1 3.11
10 1 -1 -1 1 3.32
11 -1 1 -1 1 3.49
12 1 1 -1 1 3.42
13 -1 -1 1 1 3.27
14 1 -1 1 1 3.36
15 -1 1 1 1 3.57
16 1 1 1 1 3.25
17 -2 0 0 0 3.01
18 2 0 0 0 3.12
19 0 -2 0 0 3.21
20 0 2 0 0 3.6
21 0 0 -2 0 3.56
22 0 0 2 0 3.43
23 0 0 0 -2 3.71
24 0 0 0 2 3.42
25 0 0 0 0 3.57
26 0 0 0 0 3.47
27 0 0 0 0 3.55
28 0 0 0 0 3.63
29 0 0 0 0 3.62
30 0 0 0 0 3.47
31 0 0 0 0 3.45
Factors Symbol Coded level
-2 -1 0 1 2
beef extract(%) A 1.5 2.0 2.5 3.0 3.5
tween 80(%) B 0.15 0.2. 0.25 0.30 0.35
peptone(%) C 1.5 2.0 2.5 3.0 3.5
diammonium hydrogen
cirate(%)
D 0.35 0.4 0.45 0.5 0.55
Advanced Materials Research Vol. 365 315
TABLE VI. ANALYSIS OF VARIANCE
Source Sum of
Squares DF
Mean
Square
F
Value Prob > F
Model 0.95 14 0.068 11.43 < 0.0001 A 0.07 1 0.07 11.9 0.0033
B 0.17 1 0.17 28.16 < 0.0001
C 1.50E-04 1 1.50E-04 0.025 0.8755 D 0.06 1 0.06 10.14 0.0058
A2 0.4 1 0.4 67.18 < 0.0001
B2 0.031 1 0.031 5.23 0.0361 C2 3.10E-03 1 3.10E-03 0.52 0.4795
D2 1.44E-03 1 1.44E-03 0.24 0.6292
AB 0.099 1 0.099 16.76 0.0008 AC 1.00E-04 1 1.00E-04 0.017 0.8982
AD 0.099 1 0.099 16.76 0.0008
BC 0.027 1 0.027 4.6 0.0477 BD 9.00E-04 1 9.00E-04 0.15 0.7017
CD 2.50E-05 1 2.50E-05 4.22E-03 0.949
Residual 0.095 16 5.92E-03 Lack of
Fit 0.068 10 6.75E-03 1.49 0.3241
Pure Error
0.027 6 4.53E-03
Cor
Total 1.04 30
Analysing by Design-Expert, the model F-value(Table 6) of 11.43 implies the model is significant.
The analysis of variance indicated that the model terms of A, B,D,A2,AB,AD(p<0.01) were very
significant; B2, BC(p<0.05) were significant. The lack of fit(p=0.3241>0.05) was not significant and
the correlation coefficient R2=0.9091. These shows that fit model is well and the test error is low.
We can utilize this model to predict the bacteria counts, achieveing the optimized Lactobacillus
rhamnous MRS medium.
The second-order polynomial equation (1) obtained by Design-Expert was as follow:
Y=3.54+0.054A+0.083B-0.00250C-0.050D-0.12A2-0.033B2-0.010C2+0.007083D2-0.079AB-
0.0025AC-0.079AD-0.041BC+0.0075BD+0.00125CD (1)
E. Analysis of the interaction of factors
Figure 3. Responsive surfaces and contour ploy of Y=f(A,B).
316 Future Materials Engineering and Industry Application
Figure 4. Responsive surfaces and contour ploy of Y=f(B,C).
Figure 5. Responsive surfaces and contour ploy of Y=f(A,D).
In Fig.3, when the amount of beef extract is 2%~2.5%, the bacterial counts raise with the
increasing of tween80, reaching maximum when beef extract 2.5%, tween80 3%. While the amount
of beef extract is 2.5%~3%, the increasing of tween80 can't apparently raise bacterial counts. In
Fig.4, fixing the amount of diammonium hydrogen citrate, the amount of cell increased first and then
decreased, reaching peak value when diammonium hydrogen citrate 0.4%, beef extract 2.75%. In
Fig.5, fixing the amount of peptone, the counts raise with the increase of tween80, reaching peak
when peptone 2%, tween80 3%.
F.Determination of medium components
CCD design results showed that beef extract, tween80, diammonium hydrogen citrate were
significant factors, which consistent with the result of PB experiment, while only peptone was not
significant. It may due to peptone's climbing concentration was over in the steepest ascent path
experiment, deviating from the center point.
Depending on the software analysis, considering costs and operation, optimized MRS
components for Lactobacillus rhamnosus are: 2.6% beef extract, 0.3% tween80, 2% peptone, 0.4%
diammonium hydrogen citrate. Under such components, the bacterial counts reach to 3.68×109cfu/ml.
G.Validity experiment of the model
Culturing bacteria under optimal components, 3 replicate experiments were done. The amount of
bacterium reached to 3.54×109cfu/ml, 3.8% lower than the model prediction. Therefore, the model is
feasible, which describe the influence of 4 factors on cell counts. The low value maybe the one
reason that the bacteria's vitality picked from the slant tube in the verification test was weaker than
that of the response surface experiment. Because of decline of vitality, rejuvenation and transfer of
the bacterium are critical for the experiment. In the control group, the amount could reach
1.61×109cfu/ml. The amount of the bacterium cultured in optimized medium is 2.19 times to that
cultured in the MRS basic medium.
Advanced Materials Research Vol. 365 317
Conclusion
In this study, Lactobacillus rhamnosus NCU239 is the test strain. Using Plackett-Burman design,
four significant factors were selected from the MRS medium. Approaching the maximum response
area by steepest ascent path experiment and using response surface method, four quadratic model
was established for Lactobacillus rhamnosus specific MRS medium. Significant test was done for the
model, the factors' levels were optimized.Considering factors such as model,costs and operations, the
optimal levels are as follows : 2.6% beef extract, 0.3% Tween80, 0.2%, peptone and 0.4%
diammonium hydrogen citrate, other components' concentration unchanged as MRS basic medium.
Under the above components, cultured in 37℃, 18h fermentation , 3% inoculum ,the amount of
viable cell reach to 3.54×109cfu/ml , which coincide with model prediction value
3.68×109cfu/ml,raised to 2.19 times of the amount in MRS basic medium.
Acknowledgment
We are grateful to the Research Program of State Key Laboratory of Food Science and Technology,
Nanchang University (Project No. SKLF-TS-200920) and Ministry of Education Venture Fund for
returned overseas students for financial support.
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Future Materials Engineering and Industry Application 10.4028/www.scientific.net/AMR.365 Optimization of the Medium Composition of Lactobacillus Rhamnous NCU239 10.4028/www.scientific.net/AMR.365.312
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http://dx.doi.org/10.1016/S1473-3099(06)70495-9