Yousefi-Darani Abdolrahimahim, Paquet-Durand Olivier, Hinrichs Jörg, Hitzmann Bernd
Eng Life Sci. 2021 Mar 2;21(3-4):169. doi: 10.1002/elsc.202170028. eCollection 2021 Mar.
10.1002/elsc.202000058 Successful operation, control and optimization of biotechnological process depend on reliable real-time available measurements of the process variables. Although some hardware sensors are readily available, they often have several drawbacks: cost, sample destruction, discrete-time measurements, processing delay, sterilization, disturbances in the hydrodynamic conditions inside the bioreactor, etc. It is therefore of interest to use software sensors [29, 30]. The central idea behind a soft sensor is to use easily accessible on-line data for the estimation of other process variables that are either difficult to measure or only measured at low frequency [30]. The figure illustrates a software sensor for on-line monitoring of substrate and biomass production in backers yeast cultivation. For details see article DOI 10.1002/elsc.202000058 on page 169.
10.1002/elsc.202000058 生物技术过程的成功操作、控制和优化取决于对过程变量进行可靠的实时测量。尽管一些硬件传感器很容易获得，但它们往往有几个缺点：成本、样品破坏、离散时间测量、处理延迟、灭菌、生物反应器内流体动力学条件的干扰等。因此，使用软件传感器是很有意义的[29, 30]。软传感器背后的核心思想是使用易于获取的在线数据来估计其他难以测量或仅在低频下测量的过程变量[30]。该图展示了一种用于在线监测面包酵母培养中底物和生物质产量的软件传感器。详情见第169页的文章DOI 10.1002/elsc.202000058。
