Xuewen Li , Wei Zhou

Biotechnology Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, China
Author    Correspondence author
Journal of Energy Bioscience, 2024, Vol. 15, No. 3   
Received: 08 Apr., 2024    Accepted: 10 May, 2024    Published: 23 May, 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This study explores the application of marine microalgae in biodiesel production and its cultivation optimization. In recent years, biodiesel has garnered significant attention due to its potential to reduce greenhouse gas emissions and decrease dependence on non-renewable energy sources. Marine microalgae, with their high lipid content and ability to grow in diverse environments, have emerged as a promising feedstock for biodiesel production. Research indicates that marine microalgae can grow in saline water, reducing competition for freshwater resources with agricultural crops, and can utilize CO2 from industrial emissions, promoting carbon sequestration and reducing greenhouse gas emissions. The objective of this study is to optimize the application and cultivation of marine microalgae by selecting suitable microalgae species, optimizing growth conditions, and developing cost-effective harvesting and lipid extraction technologies. This study also discusses the role of genetic engineering and metabolic optimization in enhancing lipid accumulation and production efficiency. The research highlights the importance of long-term monitoring and data collection and suggests using advanced technologies such as remote sensing and genetic analysis to address the impact of climate change on microalgae cultivation. Additionally, this study discusses the role of international agreements and policies in promoting the development of the microalgae biodiesel industry.

Marine microalgae; Biodiesel; Lipid extraction; Carbon sequestration; Growth optimization