<p>This research represents a continuation of our earlier investigations into the impact of sea salt and sodium carbonate (Na<sub>2</sub>CO<sub>3</sub>) on biocrude production through hydrothermal liquefaction (HTL). In this study, we employed three distinct types of feedstocks: lipid-rich Camelina, an energy crop cultivated on marginal lands; protein-rich microalgae, a marine species; and carbohydrate-rich sawdust from forestry residues, to thoroughly explore the sea salt effect on these feedstocks, with the outcomes compared to results achieved using Na<sub>2</sub>CO<sub>3</sub>, a conventional additive in HTL processes. Notably, the introduction of 5% sea salt markedly elevated the biocrude yield from 59.5 wt% to 66.8 wt% for HTL of Camelina at 270&#xa0;°C. Na<sub>2</sub>CO<sub>3</sub>, however, proved not to be a suitable additive for lipid-rich Camelina HTL, especially at a relatively high temperature (320&#xa0;°C). Sea salt facilitated the formation of esters over fatty amides, increasing biocrude yield. In the case of protein-rich microalgae HTL, the presence of sea salt was not influential for biocrude yield, whereas the addition of Na<sub>2</sub>CO<sub>3</sub> reduced the biocrude yield. For sawdust HTL, sea salt had a negative effect, but 5% Na<sub>2</sub>CO<sub>3</sub> addition improved biocrude formation. These experimental findings underscore the complexity of selecting the right additive for HTL biocrude production, we thus developed a machine learning-based predictive tool with an R<sup>2</sup> value greater than 0.94, showcasing a substantial advancement over conventional methods. This research contributes to the cleaner biocrude production from diverse biomass sources by demonstrating the potential of using sea salt, a more environmentally benign additive compared to traditional Na<sub>2</sub>CO<sub>3</sub>, as well as through machine learning-aided prediction.</p> Graphical Abstract <p></p>

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Enhancing Biomass Hydrothermal Liquefaction through Natural Sea Salt and Machine Learning Enabled Additive Selection

  • Xiaoyu Lin,
  • Jie Yu,
  • Wangfang Ye,
  • Xiaomei Zhong,
  • Jianlin Shen,
  • Xuan Lin,
  • Quan Sophia He,
  • Jie Yang

摘要

This research represents a continuation of our earlier investigations into the impact of sea salt and sodium carbonate (Na2CO3) on biocrude production through hydrothermal liquefaction (HTL). In this study, we employed three distinct types of feedstocks: lipid-rich Camelina, an energy crop cultivated on marginal lands; protein-rich microalgae, a marine species; and carbohydrate-rich sawdust from forestry residues, to thoroughly explore the sea salt effect on these feedstocks, with the outcomes compared to results achieved using Na2CO3, a conventional additive in HTL processes. Notably, the introduction of 5% sea salt markedly elevated the biocrude yield from 59.5 wt% to 66.8 wt% for HTL of Camelina at 270 °C. Na2CO3, however, proved not to be a suitable additive for lipid-rich Camelina HTL, especially at a relatively high temperature (320 °C). Sea salt facilitated the formation of esters over fatty amides, increasing biocrude yield. In the case of protein-rich microalgae HTL, the presence of sea salt was not influential for biocrude yield, whereas the addition of Na2CO3 reduced the biocrude yield. For sawdust HTL, sea salt had a negative effect, but 5% Na2CO3 addition improved biocrude formation. These experimental findings underscore the complexity of selecting the right additive for HTL biocrude production, we thus developed a machine learning-based predictive tool with an R2 value greater than 0.94, showcasing a substantial advancement over conventional methods. This research contributes to the cleaner biocrude production from diverse biomass sources by demonstrating the potential of using sea salt, a more environmentally benign additive compared to traditional Na2CO3, as well as through machine learning-aided prediction.

Graphical Abstract