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Multivariable And Sensor Feedback Based Real-Time Monitoring And Control Of Microalgae Production System

机译:基于多变量和传感器反馈的微藻生产系统实时监测与控制

摘要

A multi-wavelength laser diode based optical sensor was designed, developed and evaluated for monitoring and control microalgae growth in real-time. The sensor measures optical density of microalgae suspension at three wavelengths: 650 nm, 685 nm and 780 nm, which are commonly used for estimating microalgae biomass concentration and chlorophyll content. The sensor showed capability of measuring cell concentration up to 1.05 g L⁻¹ without sample dilution or preparation. The performance of the sensor was evaluated using both indoor photobioreactors and outdoor paddle wheel reactors. It was shown that the sensor was capable of monitoring the dynamics of the microalgae culture in real-time with high accuracy and durability. Specific growth rate (μ) and ratios of optical densities (OD ratios) at different wavelengths were calculated and were used as good indicators of the health of microalgae culture. A series of experiments was conducted to evaluate the sensor's capability of detecting environmental disturbances in microalgae systems, for instance, induced by dust or Vampirovibrio chlorellavorus, a bacteria found to cause crash of microalgae culture. Optical densities measured from the sensor were insensitive to the amount of dust that consisted of 59.7% of dry weight of microalgae in the system. However, the sensor was able to detect multiple events of introduction of dust timely by μ and OD ratios. The sensor was also capable of detecting subtle changes of culture in color that leads to a total crash of the culture before it can be differentiated by naked eye. The sensor was further integrated into an existing outdoor raceway to demonstrate the sensor's potential of being a core component to control microalgae production system. A real-time monitoring and control program along with a graphical user interface (GUI) was developed for a central control station aiming at improving resource use efficiency for biomass production.
机译:设计,开发和评估了一种基于多波长激光二极管的光学传感器,用于实时监控微藻的生长。该传感器在三个波长(650 nm,685 nm和780 nm)下测量微藻悬浮液的光密度,这三个波长通常用于估算微藻生物量浓度和叶绿素含量。该传感器显示了无需稀释或制备样品即可测量高达1.05 g L -1的细胞浓度的能力。使用室内光生物反应器和室外桨轮反应器对传感器的性能进行了评估。结果表明,该传感器能够以高精度和耐用性实时监测微藻培养的动态。计算了不同波长下的比生长率(μ)和光密度比(OD比),并将其用作微藻培养健康的良好指标。进行了一系列实验,以评估传感器检测微藻系统中环境干扰的能力,例如由灰尘或绿藻(Vampirovibrio chlorellavorus)(一种引起微藻培养崩溃的细菌)引起的干扰。从传感器测得的光密度对系统中微藻干重的59.7%的粉尘量不敏感。但是,该传感器能够通过μ和OD比及时检测到多个灰尘引入事件。该传感器还能够检测培养物颜色的细微变化,从而导致培养物在肉眼无法分辨之前完全崩溃。将该传感器进一步集成到现有的室外跑道中,以证明该传感器作为控制微藻生产系统的核心组件的潜力。为中央控制站开发了实时监视和控制程序以及图形用户界面(GUI),旨在提高生物质生产的资源利用效率。

著录项

  • 作者

    Jia Fei;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
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