Capa — computer aided pesticide analysis : Computer program for the automated evaluation of chromatographic data for residue analysis of foods
✍ Scribed by Jürgen Lipinski; Hans-Jürgen Stan
- Publisher
- Elsevier Science
- Year
- 1988
- Tongue
- English
- Weight
- 1011 KB
- Volume
- 441
- Category
- Article
- ISSN
- 1873-3778
No coin nor oath required. For personal study only.
✦ Synopsis
Pesticide residue analysis in food by means of gas chromatography with columns of different polarity and several selective detectors provides the analyst with a great number of chromatographic data. The introduction of personal computer based chromatographic data systems into research laboratories increased the efficiency of information management and organization; user designed software packages now have direct access to the stored data. The computer program CAPA (Computer Aided Pesticide Analysis) was developed for the interpretation and evaluation of chromatographic results. The program is written in TURBO PASCAL 3.0 and consists of several subprograms. In the main database all pesticides are filed in a multidimensional structure. The various subprograms have access to this catalog of retention and response data. Using the subprogram INTERPRET, which is the core of CAPA, the analyst is provided with all information necessary to interpret a gas chromatogram: identification of calibrated pesticides and estimation of their concentration. Automated screening analyses can be evaluated with the subprogram AU-TOINTERPRET, an automated version of INTERPRET that uses all relevant information stored in the data base. A report is produced containing the pesticides found in the sample and proposals how to confirm them best with the equipment and methods available. Finally the analyst has to make the decision about the probable presence and quantity of the indicated pesticides and to project the next confirmatory step by using INTERPRET.
📜 SIMILAR VOLUMES
A procedure which allows for the direct analysis of protein binding data obtained via dynamic dialysis is presented. The method avoids some of the problems previously encountered in data analysis, requires minimal user input, and can be readily applied to a variety of experimental conditions. Bindin
CRISCAT is a computer program for the analysis of grouped survival data with competing risks via weighted least squares methods. Competing risks adjustments are obtained from general matrix operations using many of the strategies employed in a previously developed program (GENCAT) for multivariate c