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Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

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A minicomputer system for analyzing and reporting pilot plant fermentor data.

L Bowski¹, C R Perley, J M West

¹Biotechnology Process Development, Technical Development Department, Chemical Division R & D, Hoffman-La Roche, Inc, Nutley, New Jersey 07110, USA.

Biotechnology and Bioengineering

|May 1, 1983

Summary

A minicomputer system enhanced pilot-plant fermentation data analysis and reporting. This system improved personnel productivity and experimental design through advanced graphical output and data acquisition.

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Area of Science:

Biotechnology
Chemical Engineering
Computer Science

Background:

Pilot-plant fermentation processes generate large datasets.
Efficient data analysis and reporting are crucial for process optimization.
Early systems lacked integrated on-line capabilities.

Purpose of the Study:

To describe a minicomputer system for on-line analysis and reporting of pilot-plant fermentor data.
To evaluate the system's impact on productivity and experimental design.
To detail the system's hardware, software, and data acquisition capabilities.

Main Methods:

Implementation of a PDP 11/60 minicomputer system with specific peripherals.
Utilized RSX-11M operating system for real-time data acquisition and processing.
Employed AIM system for signal conversion and ABEC/Versatec programs for analysis and graphical output.

Main Results:

The system successfully provided on-line analysis and reporting for 16 fermentors.
Graphical output of data significantly increased personnel productivity and improved experiment design.
Ancillary function enabled remote data acquisition from a production plant via modem.

Conclusions:

The developed minicomputer system effectively addressed the need for integrated data analysis in pilot-plant fermentation.
Graphical data presentation was a key factor in enhancing operational efficiency and research outcomes.
The system demonstrated flexibility by integrating remote production data.