对不同藻类菌株的生长动力学,图像分析和生物燃料潜力的比较分析
Shashi Bhushan1, Sulaymon Eshkabilov2, Unnikrishnan Jayakrishnan3
1Department of Environmental & Conservation Science, North Dakota State University, Fargo, ND, USA.
Chemosphere
|June 15, 2023
概括
图像分析提供了一种快速,非破坏性的方法来评估藻类生长和生物燃料潜力. 这项研究强调了C. sorokiniana的生物质生产率和C. minutum的甲产量,建议对废水中生长的藻类种植进行图像分析.
科学领域:
- 生物技术和可再生能源
- 应用微生物学应用微生物学
- 图像处理 图像处理
背景情况:
- 全球能源需求不断增长,需要探索替代能源和可再生能源.
- 藻类为可再生生物燃料生产提供了一个可行的选择.
- 需要有效的方法来监测藻类生长和生物质潜力.
研究的目的:
- 评估图像处理技术的应用,以确定藻类生长动力学和生物质潜力.
- 为了比较四种不同的藻类菌株 (C. minutum,Chlorella sorokiniana,C. vulgaris,S. obliquus) 的生物质和叶绿素生产.
- 评估收获的藻类生物质的生物甲潜力.
主要方法:
- 在实验室中培养了四种藻类菌株,长达18天.
- 应用非破坏性图像处理技术来分析生长.
- 使用非线性增长模型 (Logistic,修改后的Logistic,Gompertz,修改后的Gompertz) 来确定增长模式.
- 对化学氧气需求和生物甲潜力的收获生物质的评估.
主要成果:
- 科洛雷拉索罗基尼纳 (Chlorella sorokiniana) 的生物质生产率最高 (111.97±0.9毫克L-1d-1).
- 来自图像的植被指数与生物质和叶绿素含量有很强的相关性.
- 修改后的Gompertz模型最好地描述了藻类生长模式.
- C. minutum 显示了理论上最高的甲产量 (0.98 mL g-1).
结论:
- 图像分析为监测藻类生长动力学和生物质生产提供了实用和快速的替代方案.
- 这项研究确定了用于生物燃料生产的有希望的藻类菌株.
- 研究结果支持使用图像分析来优化藻类种植,特别是在废水中.
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