This study investigated the potential use of magnetic separation and fertilization with microalgae species Chlorella vulgaris to enhance plant growth on the lunar regolith simulant LMS-1. The two-step method was proposed to address these issues. Firstly, magnetic separation was used to extract the ferromagnetic fraction from the regolith, approximately 10% of the ferromagnetic compounds were successfully separated from the simulant. The remaining fraction was then used as a substrate for cultivation. Secondly, microalgae biomass was added to the regolith simulant as a source of biogenic compounds. The microalgae dose of 5 g DM/kg significantly increased the yield by over 53% (p = 0.05) compared to the control sample. In the experiments after magnetic separation, the difference between the mean values ​​of the group with a dose of 5 g DM/kg and the group with a dose of 0 g DM/kg was over 37% and was statistically significant (p = 0.009).

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Effect of Magnetic Separation and Fertilization with Microalgae of Lunar Regolith on Plant Growth

  • Izabela Świca,
  • Jacek Katzer,
  • Janusz Kobaka,
  • Karol Seweryn

摘要

This study investigated the potential use of magnetic separation and fertilization with microalgae species Chlorella vulgaris to enhance plant growth on the lunar regolith simulant LMS-1. The two-step method was proposed to address these issues. Firstly, magnetic separation was used to extract the ferromagnetic fraction from the regolith, approximately 10% of the ferromagnetic compounds were successfully separated from the simulant. The remaining fraction was then used as a substrate for cultivation. Secondly, microalgae biomass was added to the regolith simulant as a source of biogenic compounds. The microalgae dose of 5 g DM/kg significantly increased the yield by over 53% (p = 0.05) compared to the control sample. In the experiments after magnetic separation, the difference between the mean values ​​of the group with a dose of 5 g DM/kg and the group with a dose of 0 g DM/kg was over 37% and was statistically significant (p = 0.009).