碩士 / 明志科技大學 / 化學工程系生化工程碩士班 / 102 / Cultivation of Spirulina microalga is an effective process for obtaining several valuable biochemicals, such as polysaccharides, c-linolenic acid, b-carotene, chlorophylla, and phycobiliproteins. Phycobiliproteins, which are brightly colored pigments, function as a receiver of light for driving photosynthesis in the Spirulina microalga. Microalgal phycobiliproteins are classified into three major groups: phycoerythrin, allophycocyanin, and phycocyanin. The predominant pigment in the phycobiliprotein family is phycocyanin. Phycocyanin is commonly used as a natural colorant in food and cosmetic industries because it is inherently blue. Moreover, it can be incorporated into health foods because of its physiological properties, such as antioxidant, antiinflammatory, and hepatoprotective activities. Because of these benefits, numerous researchers have focused on developing efficient processes for mass production of phycocyanin producing strains and extraction of phycocyanin from microalgae. In this study, phycocyanin was extracted from spiralina platensis by using a ultrasonic-assisted extraction technique, which is fast, low cost, and demonstrates high performance. This study assessed the extraction performance under various extraction conditions (ultrasound frequency, temperature, and power). The first experiment was conducted at various temperatures to compare the extraction performance between the conventional solid-liquid extraction and the ultrasound-assisted extraction. The concentration of phycocyanin obtained through ultrasound-assisted extraction increased from 1.74 mg/mL to 2.48 mg/mL; therefore, the effectiveness of this technique is superior to that of traditional solid-liquid extraction. The optimal frequency, temperature, and power were 37 kHz, 40 °C, and 180 W, respectively. Under these conditions, the optimal phycocyanin concentration was 2.82 mg/mL. Phycocyanin at high temperatures or acidic environment is very unstable, so this experiment added stabilizer (sorbitol) make phycocyanin at high temperatures are less easily denatured, maintaining its activity, and to explore the establishment of the model, and then use Nonlinear regression to identify phycocyanin extract model parameters.
| Identifer | oai:union.ndltd.org:TW/102MIT00723003 |
| Date | January 2014 |
| Creators | Kun-Siang Syu, 徐琨翔 |
| Contributors | Chia-Hung Su, 蘇家弘 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 49 |
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