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Lipid Production Characteristics of the Basophilic Blue-Green Algae Arthrospira platensis Depending on pH for Alkaline Wastewater Treatment

알칼리성 폐수처리를 위한 호염기성 남조류 Arthrospira platensis의 pH에 따른 지질생성 특성

  • Su-Hyeon Lee (Department of Applied Environmental Science, Kyung Hee University) ;
  • Su-min Kwon (Department of Applied Environmental Science, Kyung Hee University) ;
  • Sun-Jin Hwang (Department of Applied Environmental Science, Kyung Hee University)
  • 이수현 (경희대학교 일반대학원 환경응용과학과) ;
  • 권수민 (경희대학교 일반대학원 환경응용과학과) ;
  • 황선진 (경희대학교 일반대학원 환경응용과학과)
  • Received : 2023.09.05
  • Accepted : 2023.10.25
  • Published : 2023.11.30

Abstract

This study investigated the growth and metabolic characteristics of Arthrospira platensis (A. platensis) according to pH, which has an alkaline optimal pH. The intake of inorganic carbon was expected to be the highest at the optimum pH 9, but it was different from the expectation, so the cause of the excessive intake of inorganic carbon at pH 7 was investigated. We tried to verify the triacylglycerol (TAG) synthesis metabolic mechanism because it was assumedthat the inorganic carbon intake of A. platensis according to pH is closely related to lipid production inside the cell. To verify this, the effects of pH on inorganic carbon intake were examined through lipid analysis inthe cell of A. platensis according to pH. As a result, in the case of the effect of inorganic carbon intake of A. platensis according to pH on TAG content, pH 9 and pH 11 showed no significant difference in TAG content, but at pH 7, it was two times higher compared to pH 9 and pH 11. It was assumed that the reason why A. platensis excessively consumed inorganic carbon at pH 7 was because itincreased the TAG content in proportion to the intake of inorganic carbon to protect cells from external pH stress. In addition, it is considered that the TAG content produced in proportion to the intake of inorganic carbon is because acetyl-CoA produced in the Calvin cycle is required for the synthesis of TAG.

Keywords

Acknowledgement

이 논문은 2018년도 정부(미래창조과학부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구이며(No.NRF-2019R1A2C1084155) 이에 감사드립니다.

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