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Parameter optimization for production of ligninolytic enzymes using agro-industrial wastes by response surface method

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Abstract

Lignin and manganese peroxidase (LiP, MnP) and laccase production by Phanerocheate chrysosporium was optimized by response surface methodology for brewery waste and apple pomace. The effect of moisture, copper sulphate, and veratryl alcohol (VA) concentrations on enzyme production was studied. Moisture and VA had significant positive effect on MnP and LiP production and the viability of P. chrysosporium (p < 0.05) and copper sulphate produced a negative effect. However, moisture and copper sulphate had a significant positive (p < 0.05) effect on laccase production, but VA had an insignificant positive effect (p < 0.05). Higher values of MnP, LiP and viability of P. chrysosporium on apple pomace (1287.5 U MnP/gds (units/gram dry substrate), 305 U LiP/gds, and 10.38 Log 10 viability) and brewery waste (792 U MnP/gds and 9.83 Log 10 viability) were obtained with 80% moisture, 3 mmol/kg VA, and 0.5 mmol/kg copper. LiP production in brewery waste (7.87 U/gds) was maximal at 70% moisture, 2 mmol/kg VA, and 1 mmol/kg copper. Higher production of laccase in apple pomace (789 U/gds) and brewery waste (841 U/gds) were obtained with 80% moisture, 3 mmol/kg VA, and 1.5 mmol/kg copper. Thus, moisture along with VA and copper sulphate was pertinent for the production of ligninolytic enzymes and increased cell viability.

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Authors and Affiliations

  1. INRS-ETE, Université du Québec, 490 rue de la Couronne, Québec, Canada, G1K 9A9

    Fatma Gassara, Satinder Kaur Brar, R. D. Tyagi, Rojan P. John & J. R. Valero

  2. Institut de recherche et de développement en agroenvironnement inc. (IRDA), 2700 rue Einstein, Québec, Canada, G1P 3W8

    M. Verma

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  1. Fatma Gassara
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  2. Satinder Kaur Brar
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  3. R. D. Tyagi
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  4. Rojan P. John
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  5. M. Verma
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  6. J. R. Valero
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Correspondence to Satinder Kaur Brar.

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Gassara, F., Brar, S.K., Tyagi, R.D. et al. Parameter optimization for production of ligninolytic enzymes using agro-industrial wastes by response surface method. Biotechnol Bioproc E 16, 343–351 (2011). https://doi.org/10.1007/s12257-010-0264-z

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  • DOI: https://doi.org/10.1007/s12257-010-0264-z

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