Quantitative study of the structure–retention index relationship in the imine family

The Kováts retention index is one of the most popular descriptors of the performance of organic compounds in gas chromatography (GC). The mathematical modeling of this index is an interesting and open problem in analytical chemistry. In this paper, two models for the prediction of the Kováts retenti...

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Veröffentlicht in:	Journal of Chromatography A 2006-01, Vol.1102 (1), p.238-244
Hauptverfasser:	ACEVEDO-MARTINEZ, Jorge, ESCALONA-ARRANZ, Julio Cesar, VILLAR-ROJAS, Alberto, TELLEZ-PALMERO, Franklin, PEREZ-ROSES, Renato, GONZALEZ, Luis, CARRASCO-VELAR, Ramon
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical chemistry Artificial neural network Chemistry Chromatographic methods and physical methods associated with chromatography Exact sciences and technology Gas chromatographic methods Imines Imines - chemistry Kováts retention index Models, Molecular Molecular Structure Multiple linear regression Neural Networks (Computer) QSPR Quantitative Structure-Activity Relationship
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