In this book a variety of techniques for the extraction of drugs from the plasma matrix have been investigated, the data was subjected to different statistical evaluation procedures, to properly evaluate the measured analytical outcomes. After evaluating the concentration–time profiles of pooled samples, previously harvested from dosed human volunteers, the effect of different extraction procedures on the calculated pharmacokinetic parameters was compared. Two types of drugs, classified as Non-Insulin-Dependent Diabetes Mellitus (NIDDM) active ingredients were selected in this study. Glibenclamide was chosen to represent a highly protein bound drug, whereas Metformin was chosen to represent a low protein bound drug. The primary bioanalytical methods validation parameters such as recovery, selectivity, specificity, sensitivity, limit of quantitation and limit of detection, in addition to uncertainty in the analytical measurement have been extensively reviewed. Rigorous approaches using different statistical weights for evaluating calibration data were also derived for each drug using various experimental conditions.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book a variety of techniques for the extraction of drugs from the plasma matrix have been investigated, the data was subjected to different statistical evaluation procedures, to properly evaluate the measured analytical outcomes. After evaluating the concentration time profiles of pooled samples, previously harvested from dosed human volunteers, the effect of different extraction procedures on the calculated pharmacokinetic parameters was compared. Two types of drugs, classified as Non-Insulin-Dependent Diabetes Mellitus (NIDDM) active ingredients were selected in this study. Glibenclamide was chosen to represent a highly protein bound drug, whereas Metformin was chosen to represent a low protein bound drug. The primary bioanalytical methods validation parameters such as recovery, selectivity, specificity, sensitivity, limit of quantitation and limit of detection, in addition to uncertainty in the analytical measurement have been extensively reviewed. Rigorous approaches using different statistical weights for evaluating calibration data were also derived for each drug using various experimental conditions. 308 pp. Englisch. N° de réf. du vendeur 9783659237843
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Said Adi J.Dr. Adi Said obtained his Ph.D. degree in analytical chemistry from University of Jordan. He has 18 publications and studies. He held several posts at Royal Scientific Society since 1994 the latest is a Assistant Research. N° de réf. du vendeur 5142080
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book a variety of techniques for the extraction of drugs from the plasma matrix have been investigated, the data was subjected to different statistical evaluation procedures, to properly evaluate the measured analytical outcomes. After evaluating the concentration time profiles of pooled samples, previously harvested from dosed human volunteers, the effect of different extraction procedures on the calculated pharmacokinetic parameters was compared. Two types of drugs, classified as Non-Insulin-Dependent Diabetes Mellitus (NIDDM) active ingredients were selected in this study. Glibenclamide was chosen to represent a highly protein bound drug, whereas Metformin was chosen to represent a low protein bound drug. The primary bioanalytical methods validation parameters such as recovery, selectivity, specificity, sensitivity, limit of quantitation and limit of detection, in addition to uncertainty in the analytical measurement have been extensively reviewed. Rigorous approaches using different statistical weights for evaluating calibration data were also derived for each drug using various experimental conditions. N° de réf. du vendeur 9783659237843
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Vendeur : Books Puddle, Woodside, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26394737597
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book a variety of techniques for the extraction of drugs from the plasma matrix have been investigated, the data was subjected to different statistical evaluation procedures, to properly evaluate the measured analytical outcomes. After evaluating the concentration-time profiles of pooled samples, previously harvested from dosed human volunteers, the effect of different extraction procedures on the calculated pharmacokinetic parameters was compared. Two types of drugs, classified as Non-Insulin-Dependent Diabetes Mellitus (NIDDM) active ingredients were selected in this study. Glibenclamide was chosen to represent a highly protein bound drug, whereas Metformin was chosen to represent a low protein bound drug. The primary bioanalytical methods validation parameters such as recovery, selectivity, specificity, sensitivity, limit of quantitation and limit of detection, in addition to uncertainty in the analytical measurement have been extensively reviewed. Rigorous approaches using different statistical weights for evaluating calibration data were also derived for each drug using various experimental conditions. 308 pp. Englisch. N° de réf. du vendeur 9783659237843
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Validation Of Bioanalytical Methods Of Drugs | Emphasis of Drug Protein Binding on Method Validation | Adi J. Said | Taschenbuch | 308 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659237843 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106200284
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