Research Article | Volume: 6, Issue: 4, April, 2016

Induction and enhancement of the novel marine-derived Alternaria tenuissima KM651985 laccase enzyme using response surface methodology: Application to Azo and Triphenylmethane dyes decolorization

Abeer A. Abd El Aty Eman R. Hamed Ahmed A. El-Beih Ahmed I. El-Diwany   

Open Access   

Published:  Apr 30, 2016

DOI: 10.7324/JAPS.2016.60402

In our search for a laccase producer from unconventional sources, the marine derived fungus Alternaria tenuissima KM651985 was isolated from decayed wood. It was identified on the basis of morphological and molecular taxonomy and got the Genbank accession number KM651985. Two statistical experimental designs were employed to enhance laccase production. At first, a two level Plackett-Burman design was employed to screen the medium constituents and inducers that significantly affect the enzyme production. Second experiment was important for optimization of the most effective constituents and inducers using central composite design. Applying the above methods revealed that guaiacol (2 mM), copper sulphate (3 mM) and wheat bran (46.82 g/l) were the most effective factors affecting laccase production. A maximal enzyme activity of 91.84 U/ml was more than 6.33-folds the activity obtained using the basal medium. Application of A. tenuissima KM651985 culture medium containing laccase to decolorize two structurally different synthetic dyes was done successfully. This is the first report on the statistical optimization of the marine-derived A. tenuissima KM651985 laccase enzyme and its applications for dyes decolorization.

Keyword:     Alternaria tenuissima KM651985 Response Surface Methodology Plackett–Burman Design optimization decolorization.


Abd El Aty AA, Hamed ER, El-Beih AA, El-Diwany AI. Induction and enhancement of the novel marine-derived Alternaria tenuissima KM651985 laccase enzyme using response surface methodology. Application to Azo and Triphenylmethane dyes decolorization. J App Pharm Sci, 2016; 6 (04): 006-014.

Copyright:The Author(s). This is an open access article distributed under the Creative Commons Attribution Non-Commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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