Presentation Information
[P02-211]Efficient Tannin Extraction from Eisenia bicyclis Using Alginate Lyase Derived from Vibrio sp. SMUAlg0202
○Yunseok Song1, Jeongho Lee1, Suhyeon Kim1, Shin Sik Choi2, Kang Hyun Lee3, Soo Kweon Lee4, Ja Hyun Lee5, Hah Young Yoo1 (1. Department of Biotechnology, Sangmyung University, Seoul 03016, Republic of Korea (Korea), 2. Department of Food and Nutrition, Myongji University, Yongin 17058, Republic of Korea (Korea), 3. Department of Bio-Convergence Engineering, Dongyang Mirae University, Seoul 08221, Republic of Korea (Korea), 4. Department of Bioprocess Technology, Bio Campus of Korea Polytechnics, Nonsan 32943, Republic of Korea (Korea), 5. Department of Convergence Bio-Chemical Engineering, Soonchunhyang University, 22, Soonchunhyang-ro, Asan-si 31538, Republic of Korea (Korea))
Keywords:
Alginate lyase,Eisenia bicyclis,Extraction,Tannin
Eisenia bicyclis, a brown alga, is a promising biorefinery feedstock due to its bioactive compounds such as tannins, polyphenols, and fucoxanthin. However, alginate, a structural polysaccharide comprising 30–40% of brown algal biomass, is a factor restricting the extraction efficiency of the bioactive compounds. Alginate lyase-assisted extraction has potential as a sustainable solution, although research in this area remains limited. In this study, the effect of alginate lyase (crude enzyme) derived from Vibrio sp. SMUAlg0202 on tannin extraction yield was investigated. The extraction was carried out under the following conditions: solid loading of 125 g/L, alginate lyase activity of 385 U, 50 mM citric acid/sodium phosphate buffer (pH 7) as the solvent, temperature of 40 °C, and agitation at 160 rpm. Under these conditions, the tannin yield reached 48.97 mg/g biomass, representing an increase of approximately 18% compared to the result without enzyme treatment (41.53 mg/g biomass). This result suggests that alginate lyase treatment degraded the brown algal cell wall matrix, thereby facilitating the release of tannins. Future studies will focus on optimizing extraction parameters to enhance process efficiency.
Corresponding Author Email: y2h2000@smu.ac.kr
Corresponding Author Email: y2h2000@smu.ac.kr
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