17 research outputs found

    培养一种海洋绿藻积累淀粉

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    Starch constitutes a major carbon sink for CO2 fixation during the process of photosynthesis of microalgae. Some microalgae, primarily green algae, have been proved to accumulate large amount of intracellular starch under stress conditions. It is strikingly valuable and important for production of algal-derived starch in large scale to meet the demand for renewable and clean energy (bioethanol, bio-hydrogen, etc.). A marine green microalga Tetraselmis subcordiformis was investigated its growth as well as intracellular starch accumulation in a 10L flat airlift photobioreactor (420×80×500 mm) with inside channel under continuous illumination (120~250 μ mol E • m-2 • s-1) at 30℃. 3% CO2- rich air was compressed into the photobioreactor to reach the aeration of 0.125 VVM. The results showed that under nitrogen limiting condition (1.18 mmol/L initial NO3-), T. subcordiformis was able to accumulate starch from initially 20% (dry weight based) to more than 50% within five days. The decline of chlorophyll florescence dynamics parameters might be attributed to the starch accumulation under the photosynthetic stressed condition

    耦联系统的应用:微藻培养与生物乙醇生产相耦联实现CO2循环

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    APPLICATION OF A COUPLING SYSTEM: MICROALGAE CULTIVATION COUPLED TO BIOETHANOL PRODUCTION FOR CARBON DIOXIDE RECYCLIN

    微藻油脂酸值的测定

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    微藻油脂酸值是评价微藻油脂原料的重要指标之一,对评估微藻藻粉品质以及进行微藻生物柴油的炼制具有重要参考价值。采用滴定法向微藻油脂溶液中加入饱和氯化钠溶液使溶液分层,用标准氢氧化钾乙醇溶液进行滴定,通过判断水层的颜色变化确定滴定终点,可快速准确测定深色微藻油脂的酸值。通过测定标准品混合物的酸值验证该方法的准确性。通过该方法比较了不同处理方式得到微藻藻粉样品的酸值,对藻粉品质进行了快速的评估,为考察不同处理方式对藻粉品质的影响提供了基础数据

    三尖杉悬浮培养细胞中hinokiol的定量分析

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    建立了高效液相色谱分析三尖杉悬浮培养细胞中次生代谢产物的方法,实现了次生代谢产物的分离以及hinokiol的定量分析。样品经甲醇提取后,再用氨水-氯仿萃取。采用Apollo C18色谱柱(250 mm×4.6 mm,5μm)进行分离,流动相为甲醇-水,梯度洗脱,柱温为30℃,检测波长为290 nm,流速为1 mL/min。在0.0125~0.2 g/L范围内,hinokiol的色谱峰面积与质量浓度之间具有良好的线性关系。采用该方法测定了实际样品中hi-nokiol的含量,并进行了3个水平的加标回收试验,其回收率为87.2%~94.7%,相对标准偏差(n=3)为0.9%~4.2%。该方法可靠、重现性好,适合对植物培养细胞中的hinokiol进行分析

    利用时序转录组学认识湛江等鞭金藻缺N时的油脂调控

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    Understanding N-deficiency regulation of lipid in isochrysis zhangjiangensis by time-lapse transcriptom
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