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A statistical approach for optimization of R-phycoerythrin extraction from the red algae Gracilaria verrucosa by enzymatic hydrolysis using central composite design and desirability function

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Abstract

The aim of this research is to statistically optimize enzymatic hydrolysis parameters for the production of R-phycoerythrin (RPE) from red algae Gracilaria verrucosa. Six independent variables, incubation temperature, incubation time, ratio of buffer to raw material, cellulase loading, xylanase loading, and pH, were selected for response surface methodology studies. A central composite design was employed to maximize RPE production. A mathematical model with high determination coefficient (R 2 = 0.86) was developed and could be employed to optimize RPE extraction. The optimal extraction conditions of RPE were determined as follows: incubation temperature (48°C), incubation time (6 h), ratio of buffer to raw material (20 w/v), cellulase loading (15%), xylanase loading (5%), and pH (6.5). Under this optimal condition, the experimental yield of RPE was 6.25 mg g−1. Based on the result of response surface methodology and desirability function approach study, total sugar, the main by-product in RPE extraction was considered as another response. A new optimal condition was predicted as follows: incubation temperature (30°C), incubation time (12 h), ratio of buffer to raw material (20, w/v), cellulase loading (15%), xylanase loading (5%), and pH (6). Under this condition, similar RPE levels were obtained while the concentration of total sugar decreased by 40%.

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Acknowledgments

We are very grateful to Doctor Ktari Leila who helped with our discussion and provide editing advice for the manuscript. The authors are extremely grateful to Mr. Rajeb Chokri, Director of “Centre Technique d’Agroalimentaire (CTAA)”, for his help with our analytical analysis.

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Authors and Affiliations

  1. Institut National des Sciences et Technologies de la Mer, Laboratoire de biodiversité et biotechnologies marines, Centre Kheireddine 29, Rue General Kheireddine 2015, Le Kram, Tunisia

    Fethi Mensi & Jamel Ksouri

  2. Daithi O’Murchu Marine Research Station, Gearhies, Bantry, Co., Cork, Ireland

    Emma Seale

  3. Institut National Agronomique de Tunisie 43 Rue Charles Nicolle, Cité El Mahrajene, Tunis, Tunisia

    Mohamed Salah Romdhane

  4. Mer, Molécules, Santé EA 2160 UFR Sciences et Techniques, Pôle Mer Littoral 2 Rue de la Houssinière, BP 92208 44 322, Nantes cedex 03, France

    Joêl Fleurence

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  1. Fethi Mensi
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  2. Jamel Ksouri
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  3. Emma Seale
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  4. Mohamed Salah Romdhane
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  5. Joêl Fleurence
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Correspondence to Fethi Mensi.

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Mensi, F., Ksouri, J., Seale, E. et al. A statistical approach for optimization of R-phycoerythrin extraction from the red algae Gracilaria verrucosa by enzymatic hydrolysis using central composite design and desirability function. J Appl Phycol 24, 915–926 (2012). https://doi.org/10.1007/s10811-011-9712-1

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  • DOI: https://doi.org/10.1007/s10811-011-9712-1

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