Data interpretation in the Automated Laboratory
- Oak Ridge National Lab., TN (United States)
- Los Alamos National Lab., NM (United States)
The Contaminant Analysis Automation project envisions the analytical chemistry laboratory of the future being assembled from automation submodules that can be integrated into complete analysis system through a plug-and-play strategy. In this automated system the reduction of instrumental data to knowledge required by the laboratory customer must also be accomplished in an automated way. This paper presents the concept of an automated Data Interpretation Module (DIM) within the context of the plug-and-play automation strategy. The DIM is an expert system driven software module. The DIM functions as a standard laboratory module controlled by the system task sequence controller. The DIM consists of knowledge base(s) that accomplish the data assessment, quality control, and data analysis tasks. The expert system knowledge base(s) encapsulate the training and experience of the analytical chemist. Analysis of instrumental data by the DIM requires the use of pattern recognition techniques. Laboratory data from the analysis of PCBs will be used to illustrate the DIM.
- OSTI ID:
- 126595
- Report Number(s):
- CONF-950402-; TRN: 95:006086-0580
- Resource Relation:
- Conference: 209. American Chemical Society (ACS) national meeting, Anaheim, CA (United States), 2-6 Apr 1995; Other Information: PBD: 1995; Related Information: Is Part Of 209th ACS national meeting; PB: 2088 p.
- Country of Publication:
- United States
- Language:
- English
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