泰国东海岸海洋微藻中生化化合物和脂肪酸的监测

Kwanchayanawish Machana, Amonrat Kanokrung, Sirinart Srichan, B. Vongsak, M. Kutako, Ekarin Siafha
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引用次数: 1

摘要

5种微藻脂肪酸谱的测定采用气相色谱-火焰离子化检测器(GC-FID)对产自泰国东海岸的Amphora sp.、Chaetoceros sp.、Melosira sp.、Bellerochae sp.和Lithodesmium sp.进行了鉴定。结果表明,适合生产生物柴油的脂肪酸是所有微藻谱中最常见的实体。微藻脂肪酸谱的GC色谱分析表明,双角藻和毛藻均含有必需的omega-3脂肪酸、二十碳五烯酸(EPA)和二十二碳六烯酸(DHA)。此外,本研究还评估了傅里叶变换红外(FT-IR)微光谱是否可以通过比色法评估和监测微藻的生化组成,包括脂质、碳水化合物和蛋白质谱。结果表明,FT-IR光谱结合脂质、碳水化合物和蛋白质含量的生化值可作为偏最小二乘(PLS)回归的预测模型。脂质、蛋白质和碳水化合物模型的交叉验证显示了高度的统计准确性,RMSECV值约为0.5 - 3.22%,脂质、碳水化合物和蛋白质的实际值和预测值之间的回归系数分别为92.66、95.73和96.43%。RPD值均较高(> 3),预测准确性较好。本研究提示FT-IR可以作为同时测定微藻组成和微藻细胞生化含量的工具。
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Monitoring of Biochemical Compounds and Fatty Acid in Marine Microalgae from the East Coast of Thailand
Determinations of fatty acid profiles of five microalgae; Amphora sp., Chaetoceros sp., Melosira sp., Bellerochae sp., and Lithodesmium sp., from the east coast of Thailand were evaluated by conventional Gas Chromatography-Flame Ionization Detector (GC-FID). The results exhibited that the fatty acids suitable for biodiesel production were the most frequent entities encountered in all microalgae profiles. The GC chromatogram of fatty acid profiles in microalgae showed that both Amphora sp. and Chaetoceros sp. comprised essential omega-3 fatty acids, eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA). Additionally, this study assessed whether Fourier Transform infrared (FT-IR) microspectroscopy could be used to evaluate and monitor the biochemical compositions of microalgae, including lipid, carbohydrate, and protein profiles, by using colorimetric methods. Results showed that FT-IR spectra combined with biochemical values of lipid, carbohydrate, and protein contents were used as predictive models generated by partial least square (PLS) regression. Cross-validation of the lipid, protein, and carbohydrate models showed high degrees of statistical accuracy with RMSECV values of approximately 0.5 - 3.22 %, and a coefficient of regression between the actual and predicted values of lipids, carbohydrates, and proteins were 92.66, 95.73, and 96.43 %, respectively. The RPD values were all high (> 3), indicating good predictive accuracy. This study suggested that FT-IR could be a tool for the simultaneous measurement of microalgae composition of biochemical contents in microalgae cells.
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