Quantitative structure-property relationship modeling of polar analytes lacking UV chromophores to charged aerosol detector response.

Schilling, Klaus; Krmar, Jovana; Maljuric, Nevena; Pawellek, Ruben; Protic, Ana; Holzgrabe, Ulrike

Schilling, Klaus; Krmar, Jovana; Maljuric, Nevena; Pawellek, Ruben; Protic, Ana; Holzgrabe, Ulrike.

Afiliación

Schilling K; Institute for Pharmacy and Food Chemistry, University of Würzburg, Am Hubland, 97074, Würzburg, Germany.
Krmar J; Faculty of Pharmacy, Department of Drug Analysis, University of Belgrade, Vojvode Stepe 450, Belgrade, 11 221, Serbia.
Maljuric N; Faculty of Pharmacy, Department of Drug Analysis, University of Belgrade, Vojvode Stepe 450, Belgrade, 11 221, Serbia.
Pawellek R; Institute for Pharmacy and Food Chemistry, University of Würzburg, Am Hubland, 97074, Würzburg, Germany.
Protic A; Faculty of Pharmacy, Department of Drug Analysis, University of Belgrade, Vojvode Stepe 450, Belgrade, 11 221, Serbia. ana.protic@pharmacy.bg.ac.rs.
Holzgrabe U; Institute for Pharmacy and Food Chemistry, University of Würzburg, Am Hubland, 97074, Würzburg, Germany. ulrike.holzgrabe@uni-wuerzburg.de.

Anal Bioanal Chem ; 411(13): 2945-2959, 2019 May.

Article en En | MEDLINE | ID: mdl-30911799

Palabras clave

Artificial neural networks; Charged aerosol detector; Molecular descriptors; Prediction; QSPR

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Anal Bioanal Chem Año: 2019 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Alemania

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