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

  • Lili Sheng
  • , Xin Wang
  • , Xiaoyi Yang*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 1 h. 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.

Original languageEnglish
Pages (from-to)14-20
Number of pages7
JournalBioresource Technology
Volume247
DOIs
StatePublished - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Biocrude yield prediction model
  • Hydrothermal liquefaction
  • Microalgae
  • Nitrogen heterocyclic compounds

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