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首页> 外文期刊>Journal of Biotechnology >Development of advanced image analysis techniques for the in situ characterization of multiphase dispersions occurring in bioreactors
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Development of advanced image analysis techniques for the in situ characterization of multiphase dispersions occurring in bioreactors

机译:用于生物反应器中发生的多相分散体原位表征的先进图像分析技术的开发

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Fermentation bioprocesses typically involve two liquid phases (i.e. water and organic compounds) and one gas phase (air), together with suspended solids (i.e. biomass), which are the components to be dispersed. Characterization of multiphase dispersions is required as it determines mass transfer efficiency and bioreactor homogeneity. It is also needed for the appropriate design of contacting equipment, helping in establishing optimum operational conditions. This work describes the development of image analysis based techniques with advantages (in terms of data acquisition and processing), for the characterization of oil drops and bubble diameters in complex simulated fermentation broths. The system consists of fully digital acquisition of in situ images obtained from the inside of a mixing tank using a CCD camera synchronized with a stroboscopic light source, which are processed with a versatile commercial software. To improve the automation of particle recognition and counting, the Hough transform (HT) was used, so bubbles and oil drops were automatically detected and the processing time was reduced by 55% without losing accuracy with respect to a fully manual analysis. The system has been used for the detailed characterization of a number of operational conditions, including oil content, biomass morphology, presence of surfactants (such as proteins) and viscosity of the aqueous phase.
机译:发酵生物过程通常涉及两种液相(即水和有机化合物)和一种气相(空气),以及要分散的组分悬浮固体(即生物质)。需要多相分散体的表征,因为它决定了传质效率和生物反应器的均质性。接触设备的适当设计也需要它,以帮助建立最佳操作条件。这项工作描述了基于图像分析的技术的发展,该技术具有优势(在数据采集和处理方面),用于表征复杂的模拟发酵液中的油滴和气泡直径。该系统包括使用与频闪光源同步的CCD摄像机对混合罐内部的原位图像进行全数字采集,并使用通用的商业软件进行处理。为了提高颗粒识别和计数的自动化程度,使用了Hough变换(HT),因此可以自动检测气泡和油滴,并且将处理时间减少了55%,而不会因为完全手动分析而降低准确性。该系统已用于许多操作条件的详细表征,包括油含量,生物质形态,表面活性剂(例如蛋白质)的存在和水相的粘度。

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