Locher G, Sonnleitner B, Fiechter A
Institute of Biotechnology, ETH Zürich Hönggerberg, Switzerland.
J Biotechnol. 1992 Aug;25(1-2):55-73. doi: 10.1016/0168-1656(92)90109-m.
Sound data biologically relevant are prerequisites when developing high-performance bioprocesses. Understanding of physiological regulation as well as sophisticated control strategies are highly dependent on the observability of the culture, i.e. the generation and exploitation of suited signals even under complex environmental measurement conditions. Against this background, the increasing number of analytical systems is very supportive and, accordingly, an appropriate handling of sensors and measured data is of decisive importance. This article reports on practical experience with routines for maintenance, service and calibration of hardware sensors which improve the quality of measurements significantly. Verification and validation of signals is outlined in order to make the value of data exploitation tools obvious. A method for the characterization of information is introduced by practical examples of Saccharomyces cerevisiae cultures when explaining the specific properties of extracting biological information from raw data. Finally, examples for advantageous exploitation of on-line data are given.
在开发高性能生物过程时，具有生物学相关性的声音数据是先决条件。对生理调节的理解以及复杂的控制策略高度依赖于培养物的可观测性，即在复杂的环境测量条件下生成并利用合适的信号。在此背景下，越来越多的分析系统提供了很大支持，因此，正确处理传感器和测量数据至关重要。本文报道了硬件传感器维护、服务和校准程序的实践经验，这些程序显著提高了测量质量。概述了信号的验证和确认，以彰显数据利用工具的价值。通过酿酒酵母培养物的实际例子介绍了一种信息表征方法，以解释从原始数据中提取生物信息的具体特性。最后，给出了在线数据有利利用的例子。
