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Fermentation Optimization and Unstructured Kinetic Model for Cellulase Production by Rhizopus stolonifer var. reflexus TP-02 on Agriculture By-Products

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Abstract

Agricultural by-products, rice straw, wheat bran juice, and soybean residue, were used as substrates for cellulase production using Rhizopus stolonifer var. reflexus TP-02. The culture medium was optimized though uniform design experimentation during shaking flask fermentation, and the ideal formulation obtained for filter paper enzyme (FPase) production was 10 % bran diffusion juice, 1 % rice straw, 0.17 % urea, 0.17 % soybean residue, 0.11 % KH2PO4, and 0.027 % Tween 80, and the maximal FPase activity in the culture supernatant was 13.16 U/mL at an incubation time of 3 days. A kinetic model for cellulase production in batch fermentation was subsequently developed. The unstructured kinetic model considered three responses, namely biomass, cellulase, and sugar. Models for the production of three types of cellulase components (i.e., endoglucanases, cellobiohydrolases, and β-glucosidases) were established to adequately describe the cellulase production pattern. It was found that the models fitted the experimental data well under pH 5.0 and 6.0, but only the avicelase production model predicted the experimental data under pH-uncontrolled conditions.

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Abbreviations

X :

Total biomass concentration (in gram per liter)

X 0 :

Initial biomass concentration (in gram per liter)

X m :

Maximum biomass concentration (in gram per liter)

μ m :

Maximum specific growth rate (in gram per hour)

t :

Culture time (in hour)

P, P 1, P 2, P 3, P 4 :

Enzyme concentration (in international unit per milliliter)

α, α 1 , α 2 , α 3 , α 4 :

Constant in specific enzyme production rare (in per hour)

β, β 1, β 2, β 3, β 4 :

Constant in specific enzyme production rare (in per hour)

S :

Total sugar concentration (in gram per liter)

Y x/s :

Yield coefficient for growth (in gram per gram)

Y p/s :

Yield coefficient for products (in gram per gram)

m s :

Maintenance coefficient on total sugar (in gram per gram·hour)

k1 (1/Y x/s):

Specific substrate consumption rate constants for mycelia growth (in gram per gram)

k2 (1/Y p/s):

Specific substrate consumption rate constants for biomass maintenance (in gram per gram)

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Acknowledgments

The authors acknowledge the financial support from the National Natural Science Foundation of China (grant no. 31270135), the Provincial Natural Science Foundation for the Youth of Anhui province of China (grant no. 1408085QC61) and the Natural Science Foundation for the Youth of China (grant no. 31401630).

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Authors and Affiliations

  1. Microorganism Fermentation Engineering and Technology Research Center of Anhui Province, Anhui Polytechnic University, Central Beijing Road, Wuhu, 241000, China

    Song Li, Bin Tang, Zhongyuan Xu & Tao Chen

  2. School of Biological and Chemical Engineering, Anhui Polytechnic University, Central Beijing Road, Wuhu, 241000, China

    Song Li, Bin Tang, Zhongyuan Xu & Tao Chen

  3. The Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, China

    Long Liu

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  1. Song Li
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Correspondence to Bin Tang.

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Li, S., Tang, B., Xu, Z. et al. Fermentation Optimization and Unstructured Kinetic Model for Cellulase Production by Rhizopus stolonifer var. reflexus TP-02 on Agriculture By-Products. Appl Biochem Biotechnol 177, 1589–1606 (2015). https://doi.org/10.1007/s12010-015-1839-0

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