Riyadi, F. A. and Azman, N. F. and Yusof, N. and Md. Akhir, Fazrena Nadia (2022) Production of ligninolytic enzymes from thermophilic bacterial strains isolated from palm oil wastes. In: 9th AUN/SEED-Net Regional Conference on Natural Disaster, RCND 2021, 15 December 2021 - 16 December 2021, Virtual, Online.
|
PDF
469kB |
Official URL: http://dx.doi.org/10.1088/1755-1315/1091/1/012063
Abstract
The conversion of lignocellulosic biomass into bioethanol or biochemical products requires a crucial pre-treatment process to break down the recalcitrant lignin structure. Biological depolymerization of lignin using microbial enzyme appeared to be a promising pre-treatment alternative as it offers environmentally friendly treatment with lower energy requirements. In this study, three (3) thermophilic bacterial strains (S2, S11Y, S23) with lignin-degrading potential were previously isolated from palm oil wastes and identified as Stenotrophomonas sp., Bacillus subtilis, and Aeribacillus sp., respectively. These isolates demonstrated the capability to grow in a medium containing AL as the sole carbon source. Most isolates also demonstrated enzymatic activities toward lignin peroxidase (LiP), manganese peroxidase (MnP), and laccase (Lac) enzymes within a short period of 72 h. The highest LiP was secreted by strain S2 (70.97 ± 0.059 U/L), followed by S11Y (63.570 ± 0.021 U/L) and S23 (60.880 ± 0.042 U/L). MnP was generated with low activities of approximately 1.313 ± 0.037 U/L by S11Y, 0.364 ± 0.004 U/L by S2, and 0.215 ± 0.021 U/L by S23. For the Lac enzyme, low activities were detected only in S2 and S11Y, with 2.075 ± 0.612 U/L and 1.463 ± 0.116 U/L, respectively. This preliminary study appeared to show that the isolated thermophilic bacteria have the potential to be applied for lignin degradation application.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Uncontrolled Keywords: | enzyme, palm oil wastes, S2, S11Y, S23 |
Subjects: | Q Science > Q Science (General) T Technology > TP Chemical technology |
Divisions: | Malaysia-Japan International Institute of Technology |
ID Code: | 98993 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 22 Feb 2023 03:29 |
Last Modified: | 22 Feb 2023 03:29 |
Repository Staff Only: item control page