Contribution to the Identification and Quantitation...

Published: Journal of Chromatographic Science, Volume 36, Number 7, July 1998, pp. 372-378.

Contribution to the Identification and Quantitation of Aroclor Mixtures by Least-Squares Analysis of Gas Chromatographic Data
R. Corbella, M.A. Rodríguez-Delgado, and F.J. García Montelongo

A procedure is proposed for the qualitative and/or quantitative determination of different Aroclor technical formulations in complex mixtures by analysis of gas chromatographic data. The method is based on the reconstruction of a time-continuous Gaussian function of the gas chromatographic data and the application of least-squares to the reconstructed functions. The results are compared with those obtained when least-squares regression is applied directly to discrete chromatographic data.

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