A Quantitative Method for Fungal Ligninolytic Enzyme Screening Studies

Asia-Pacific Journal of Chemical Engineering, 6, 589-595.

18 Pages Posted: 19 Jan 2015

See all articles by Teck Nam

Teck Nam

The University of Auckland

Gek-Cheng Ngoh

University of Malaya (UM) - Department of Chemistry

Adeline Seak May Chua

University of Malaya (UM)

Date Written: 2011

Abstract

Screening is conducted to select a fungus with desired characteristics intended for various applications, e.g. bioremediation and enzyme production. A qualitative method was used in this study for screening of fungal ligninolytic enzymes activities. The fungal ligninolytic activity was correlated with its growth from the screenings to identify a suitable fungus for solid substrate fermentation. Four strains of fungi, namely Phanerochaete chrysosporium, Pycnoporus sanguineus, Phlebia radiata and Pleurotus sajor-caju, were screened for their ligninolytic enzymes activities using guaiacol and Remazol Brilliant Blue-R (RBB-R) as screening reagents. The screenings were conducted at both the optimal growth temperature of each fungus and 35oC. All the fungi, except P. radiata, showed positive guaiacol oxidation and RBB-R decolourization activities. Based on the results, P. sajor-caju may be a suitable fungus for use in bioconversion of lignocellulose because it maintained guaiacol oxidation and RBB-R decolourization activities at 35oC. Its halo to colony areas ratios of guaiacol oxidation and RBB-R decolourization after 6 days were 7.0 and 2.7, respectively. In the subsequent growth study, the measured colony area was closely correlated with the dry fungal cell weight with a regression value (R2) of 0.971. Thus, colony size could be used as an indicator for fungal growth if the screening media do not significantly slow the growth of fungus.

Keywords: Quantitative method; Ligninolytic enzymes; Screening; Guaiacol oxidation; Remazol Brilliant Blue-R (RBB-R) decolourization; Lignocellulose.

JEL Classification: C09, C93, N55, O13, Q00, Q10, Q16, Q20, Q23, Q40, Q42

Suggested Citation

Ang, Teck Nam and Ngoh, Gek-Cheng and Chua, Adeline Seak May, A Quantitative Method for Fungal Ligninolytic Enzyme Screening Studies (2011). Asia-Pacific Journal of Chemical Engineering, 6, 589-595., Available at SSRN: https://ssrn.com/abstract=2550026

Teck Nam Ang (Contact Author)

The University of Auckland ( email )

Department of Chemical and Materials Engineering
Auckland, AK 1010
New Zealand

Gek-Cheng Ngoh

University of Malaya (UM) - Department of Chemistry

Jalan Lembah Pantai
Kuala Lumpur, Wilayah Persekutuan 50603
Malaysia

Adeline Seak May Chua

University of Malaya (UM) ( email )

Kuala Lumpur, Wilayah Persekutuan 50603
University of Malaya (UM)
Kuala Lumpur, Wilayah Persekutuan 50603
Malaysia

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
82
Abstract Views
597
rank
331,063
PlumX Metrics