碩士 / 國立臺灣海洋大學 / 食品科學系 / 107 / Varieties of active ingredients from algae have been widely developed, including bioactive peptides and phenolic compounds. In this study, Botryocladia leptopoda was selected for protein identification and bioactive peptides analysis. Proteins were extracted using enzymatic and alkali treatment, and then identified using proteomics. Two proteins, such as ribuose-1, 5-bisphosphate carboxylase/oxygenase large subunit and phycoerythrin beta chain, were chosen for the analysis of potential active peptides based on the phylogenetic relationship and the higher sequence coverage. Those two protein sequences were subsequently analyzed the potential bioactive peptides using BIOPEP-UWM database. According to the result, Botryocladia leptopoda proteins were predicted to generate ACE inhibition, DPP-4 inhibition and antioxidant peptides. The proteins were then hydrolyzed with six different enzymes (Papain, Pepsin, Proteinase K, Subtilisin, Pancreatic elastase, Leukocyte elastase) to test the optimal hydrolysis conditions and the activity of ACE inhibition from each enzyme. Data showed that the 5-hour pepsin hydrolysates (0.5 mg/mL) had the strongest ACE inhibitory activity (97.65 ± 1.78 %) compared with other hydrolysates, which was consistent with the BIOPEP-UWM simulation results. The molecular weight of pepsin hydrolysates was differentiated (≧10 kDa, 3-10 kDa ,≦3 kDa), and the result showed that peptides with MW above 10 kDa gave the best ACE inhibitory activity. Overall, this study shows that proteomics combined with BIOPEP-UWM database can be a powerful tool to assist in the preparation of functional hydrolysates or peptides. This study also revealed that Botryocladia leptopoda proteins had a great potential to generate ACE inhibitory peptides. In addition, ACE inhibitory peptides obtained from Botryocladia leptopoda proteins can be purified to identify the composition of amino acids possessing the inhibitory activity in the future study.
| Identifer | oai:union.ndltd.org:TW/107NTOU5253060 |
| Date | January 2019 |
| Creators | Chang, Jung-Hsin, 張嫆欣 |
| Contributors | 張祐維 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 68 |
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