4.7 Article

Prediction of varying microcystins during non-thermal plasma oxidation of harvested microalgal biomass

期刊

JOURNAL OF HAZARDOUS MATERIALS
卷 403, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jhazmat.2020.123596

关键词

Non-Thermal plasma; Microalgal bloom; Intracellular microcystin; Mathematical modeling; Degradation kinetics

资金

  1. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science and ICT [NRF-2017R1A2B4012762]
  2. Korea Ministry of Environment (MOE)
  3. Jeonbuk National University

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This study presents a mathematical model explaining the simultaneous removal of microalgae and their toxins using non-thermal plasma (NTP), with experimental results showing up to 77% reduction in extracellular MCs after 24 hours of NTP treatment. Regression analysis based on experimental data reveals degradation and release rates of MCs, providing essential information on intracellular MCs release by microalgal cell destruction. Simulation results aid in developing safe and effective control over the treatment of harvested microalgal biomass and toxins.
By capturing intracellular microcystins (MCs) release from microalgal cell destruction and extracellular MCs oxidation, this study suggests a mathematical model explaining the simultaneous removal of microalgae and their toxins (MC-LR,-RR, and-YR) in non-thermal plasma (NTP) application. Although the suggested model was built based on simplified kinetic assumptions, it can reasonably predict the behavior of extracellular MCs in a harvested/concentrated slurry of microalgae taken from a blooming site. After 24 h of NTP treatment, the experimental reduction of extracellular MCs was recorded up to similar to 77 %. Regressions based on the experimental data reveal the degradation rate (8.60 d(-1)) and release rate (0.37 d(-1)) of MCs, which provides the essential physicochemical information about intracellular MCs release by microalgal cell destruction. Simulation results help to develop safe and useful control over the simultaneous treatment of harvested microalgal biomass and toxins. This study further demonstrates that the suggested model contributes to predicting the variation of MCs in mass management of microalgal biomass for sustainable utilization.

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