Abstract
Hydrothermal liquefaction (HTL) of nitrogen-rich biomass (N-B) is a promising valorization technology. However, nitrogen heterocycles (NH, mainly 5-/6-membered) was produced considerably in bio-oil during HTL of N-B, impeding the application of bio-oil as a fuel due to NOx emission, and the use of bio-oil containing NH as chemical precursors is not yet satisfactory due to relative low content and selectivity. This study aims to overview the effects of biomass and HTL processing parameters on NH distribution and transformation mechanisms of NH during HTL of N-B. It was found that factors influencing the formation of NH are mainly biomass composition (particularly the compositions of amino acids and monosaccharides), HTL process parameters such as temperature, and extraction conditions such as solvents and procedures. Maillard reaction between amino acids and monosaccharides as well as the chain scission, dimerization, and cyclization of amino acids are the major paths to form NH. Strategies in engineering biomass feedstock, HTL process, and bio-oil extraction procedure, in addition to optimizing NH analysis and NH classification, were proposed to promote the development of this area. Amongst, the use of machine learning-aided prediction, optimization, and regulation of NH formation reactions is promising.
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