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A Novel Bioflocculant Produced by Cobetia marina MCCC1113: Optimization of Fermentation Conditions by Response Surface Methodology and Evaluation of Flocculation Performance when Harvesting Microalgae Cover

A Novel Bioflocculant Produced by Cobetia marina MCCC1113: Optimization of Fermentation Conditions by Response Surface Methodology and Evaluation of Flocculation Performance when Harvesting Microalgae

Open Access
|Sep 2022

Figures & Tables

Fig. 1

Temporal courses of the a) bioflocculant, b) yield of biomass, and c) consumption of glucose, under different initial levels of glucose.

Fig. 2

a) Effects of the N source alone on the biomass and bioflocculant production, b) effect of the ratio of combined N source on the biomass and bioflocculant production. A/YE – yeast extract, B/Glu – glutamate, C – tryptone, D – ammonium nitrate, E – ammonia chloride, F – urea. The control group was cultured in a minimal medium.

Fig. 3

The change curve of pH for the a) biomass and b) bioflocculant.

Fig. 4

RSM and contour plots illustrating the interplaying effects of various factors on bioflocculant production; a–b) glucose (g/l) and yeast extract (g/l), c–d) glucose (g/l) and glutamate (g/l), e–f) yeast extract (g/l) and glutamate (g/l).

Fig. 5

Temporal courses of cellular growth, bioflocculant production, and pH for C. marina MCCC1113 cultivated in the optimal medium inside a rotary shaker at 150 rpm and 28°C for 72 h.

Flocculation efficiency of bioflocculant produced by C_ marina on various microalgae_

Flocculation time (min)GroupH. pluvialisC. vulgarisS. platensis
FE (%)
5Treatment32.169.4
Control26.432.9

Effect analysis of independent variables in Plackett-Burman design_

FactorLevelpSignificant
–11
Glucose25350.0022++
Yeast extract5150.004++
Glutamate130.025+
Culture time28360.85
pH780.861

ANOVA for response surface quadratic model_

SourceSum of squareDFMean squareF-valueProb > F
Model0.76  90.0847.020.0088
Residual  0.084  70.012
Lack of fit  0.039  30.0131.160.4282
Pure error  0.045  4
Cor total0.8416
R2 = 0.9803R2adj = 0.7721R2pred = 0.1744CV = 13.53Adeq. precision = 7.526

Determination of the optimum ratio of bioflocculant/microalgae (v/v)_

FE (%) of different algaeAmount of BF/algae added (%)
05101520
H. pluvialis2034.836.747.263
S. platensis32.986.487.889.493.9
C. vulgaris29.148.153.253.151.1

Box-Behnken design arrangement and responses_

RUNGlucoseYeast extractGlutamateBioflocculant
(g/l)(g/l)(g/l)(g/l)
1301021.30
2301021.19
330510.9
435520.65
5301530.95
6301020.89
7351030.79
8251520.57
930530.87
10251010.32
1125520.54
12351010.79
13301021.22
14301021.28
15301510.92
16251030.58
17351520.65
DOI: https://doi.org/10.33073/pjm-2022-030 | Journal eISSN: 2544-4646 | Journal ISSN: 1733-1331
Language: English
Page range: 341 - 351
Submitted on: Mar 14, 2022
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Accepted on: Jul 3, 2022
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Published on: Sep 24, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Siyu Zeng, Yinghua Lu, Xueshan Pan, Xueping Ling, published by Polish Society of Microbiologists
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.