Abstract Chlorophylls and carotenoids can be extracted from microalgae using various solvents. However, there is lack of studies regarding the comparison of extraction yield of these pigments from wet and dry microalgal biomass using different combination of cell disruption methods. Therefore, in this work, we have investigated the comparison of the extraction yield of chlorophylls and carotenoids from the wet and heat-dried microalgal biomass (isolated Chlorella thermophila) using ethanol. Extraction parameters such as homogenisation time, homogenisation speed, solvent temperature, solid-solvent ratio, boiling time and microwave time have been optimised. Chlorophyll extraction yield was observed to be 2.7 fold higher from wet biomass than dry biomass while carotenoid yield was 6.7 fold higher. Highest chlorophyll yield (∼60 mg/g-dry biomass) was observed at 6 min of homogenisation time, 10,000 rpm, solid solvent ratio of 1 mg/mL and 58 °C of solvent temperature from wet biomass with extraction efficiency of ∼94 %. Highest carotenoid yield was noticed following the same conditions of chlorophyll extraction except 4 °C of solvent temperature. The modelling of the extraction process was performed using artificial neural network (ANN) which may be useful for the scale-up of the extraction process at the industrial level.

中文翻译：

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从分离的嗜热小球藻干湿生物量中提取叶绿素和类胡萝卜素：工艺参数优化和人工神经网络建模

摘要 可以使用多种溶剂从微藻中提取叶绿素和类胡萝卜素。然而，关于使用不同细胞破碎方法组合从湿和干微藻生物质中提取这些色素的比较缺乏研究。因此，在这项工作中，我们研究了使用乙醇从湿和热干燥的微藻生物质（分离的嗜热小球藻）中提取叶绿素和类胡萝卜素的比较。均质化时间、均质化速度、溶剂温度、固溶比、沸腾时间和微波时间等萃取参数已得到优化。观察到湿生物质的叶绿素提取率是干生物质的 2.7 倍，而类胡萝卜素的产量是 6.7 倍。在 6 分钟的均质化时间、10,000 rpm、1 mg/mL 的固体溶剂比例和 58 °C 的溶剂温度下，从湿生物质中观察到最高的叶绿素产量（~60 mg/g-干生物质），提取效率为~94 % . 除了 4 °C 的溶剂温度外，在相同的叶绿素提取条件下注意到最高的类胡萝卜素产量。提取过程的建模是使用人工神经网络 (ANN) 进行的，这可能有助于工业级提取过程的放大。