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利用模型化合物水热液化微藻预测生物油产率和氮杂环化合物分析

Prediction model of biocrude yield and nitrogen heterocyclic compounds analysis by hydrothermal liquefaction of microalgae with model compounds.

机构信息

School of Energy and Power Engineering, Energy and Environment International Centre, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, PR China.

School of Energy and Power Engineering, Energy and Environment International Centre, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, PR China.

出版信息

Bioresour Technol. 2018 Jan;247:14-20. doi: 10.1016/j.biortech.2017.08.011. Epub 2017 Aug 5.

Abstract

The model of biocrude yield and the nitrogen heterocyclic compounds in biocrude of microalgae hydrothermal liquefaction are two of the most concerned issues in this field at present. This study explored a hydrothermal liquefaction biocrude yield model involved in the interaction among biochemical compounds in microalgae and analysed nitrogen heterocyclic compounds in biocrude. The model compound (castor oil, soya protein and glucose) and Nanochloropsis were liquefied at 280°C for 1h. The products were analyzed by GC-MS, element analysis and FTIR. The results suggested that interactions among different components in microalgae enhanced biocrude yield. The biocrude yield prediction model involved cross-interactions performed more accurate than previous models.When the ratio of protein and carbohydrate around 3, the cross-interaction and nitrogen heterocyclic compounds in biocrude would both reach the highest extent.

摘要

微藻水热液化生物油产率模型和生物油中含氮杂环化合物是目前该领域最受关注的两个问题。本研究探讨了一种涉及微藻生化化合物相互作用的水热液化生物油产率模型,并分析了生物油中的含氮杂环化合物。将模型化合物(蓖麻油、大豆蛋白和葡萄糖)和 Nanochloropsis 在 280°C 下液化 1 小时。通过 GC-MS、元素分析和 FTIR 对产物进行分析。结果表明,微藻中不同成分之间的相互作用提高了生物油的产率。与之前的模型相比,涉及交叉相互作用的生物油产率预测模型更准确。当蛋白质和碳水化合物的比例约为 3 时,交叉相互作用和生物油中的含氮杂环化合物都会达到最高程度。

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