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Optimization of Laccase Productivity during Solid Substrate Fermentation of Sago Hampas by Pycnoporus sanguineus

Rifat A., and Paramaswari, S., and Noorlidah Abdullah, and Sekaran, M., and Vikineswary, S., (2003) Optimization of Laccase Productivity during Solid Substrate Fermentation of Sago Hampas by Pycnoporus sanguineus. Malaysian Journal of Science, 22 (1). pp. 35-42. ISSN 1394-3065

Full text not available from this repository.

Official URL: http://www.um.edu.my/FS/Index.htm

Affiliations

University of Malaya, Institute of Postgraduate Studies, Malaysia
University of Malaya, Faculty of Science, Institute of Biological Sciences, Malaysia
University of Malaya, Faculty of Medicine, Dept. of Molecular Medicine, Malaysia

Abstract

$Pycnoporus$ $sanguineus$ showed good growth during solid substrate fermentation (SSF) of sago pith residue known as $hampas$, which was supplemented with 0.38% (w/v) (63.3mM) urea as nitrogen source, 0.2% (w/v) $KH_{2}PO_{4}$ and 0.05% (w/v) $MgSO_{4}.7H_{2}0$, over a period of 30 days. In unoptimized conditions using a two-week old, 10% (w/w) inoculum, maximum laccase productivity of 14.35 U/g of substrate was obtained on day 15. The productivity of laccase increased to 15.20 U/g of substrate when sago $hampas$ was supplemented with 0.76% (w/v) (126.7mM) of urea. Further, laccase productivity was influenced by the inoculum age and density (weight of inoculum/weight of substrate). With a 3-week old inoculum at 10% density (w/w) the laccase productivity increased to 18.05 U/g of substrate after 15 days of SSF. This is an increase of 1.3 fold compared to the unoptimized value. The maximum laccase productivity obtained with the optimized conditions was 18.35 U/g of substrate on day 10 of SSF. A pH range of 4.0 — 5.0 seems to be suitable for the SSF. Laccase productivity was growth associated which correlated well with the soluble protein content measured during the course of SSF.

Item Type:Journal
Keywords:Laccase, white-rot fungus, solid substrate fermentation, sago hampas
Subjects:Q Science, Computer Science
ID Code:1735

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