The Application of the Design of Experiments and Artificial Neural Networks in the Development of a Fast and Straightforward HPLC-UV Method for Fluconazole Determination in Hemato-Oncologic Pediatric Patients and Its Adaptation to Therapeutic Drug Monitoring

The Application of the Design of Experiments and Artificial Neural Networks in the Development of a Fast and Straightforward HPLC-UV Method for Fluconazole Determination in Hemato-Oncologic Pediatric Patients and Its Adaptation to Therapeutic Drug Monitoring

<b>Objectives:</b> This study aimed to develop an optimized and wide concentration range HPLC-UV method for fluconazole (FLU) determination and its adaptation for pharmacokinetics (PK) studies in the pediatric population. <b>Methods:</b> The following parameters of chromatogr...

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Bibliographic Details
Main Authors: Arkadiusz Adamiszak, Andrzej Czyrski, Bartosz Sznek, Edmund Grześkowiak, Agnieszka Bienert
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Pharmaceuticals
Subjects:
HPLC-UV
human plasma
pharmacokinetics
method optimization
Box–Behnken design
central composite design
Online Access:https://www.mdpi.com/1424-8247/17/12/1679
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