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LC-MS/MS Method for Rapid Quantification of Progesterone in Rabbit Plasma and Its Application in a Pharmacokinetic Study of the Transdermal Formulation.
Tran, Cao-Son; Bui, Quang-Dong; Nguyen, Ngoc-Tho Thi; Dao, Minh-Hanh; Nguyen, Thach-Tung.
Afiliação
  • Tran CS; Laboratory of Food Toxicology and Allergens Testing, National Institute for Food Control, Hanoi 10000, Vietnam.
  • Bui QD; Laboratory of Food Toxicology and Allergens Testing, National Institute for Food Control, Hanoi 10000, Vietnam.
  • Nguyen NT; Department of Pharmaceutics, Hanoi University of Pharmacy, Hanoi 10000, Vietnam.
  • Dao MH; Department of Pharmaceutics, Hanoi University of Pharmacy, Hanoi 10000, Vietnam.
  • Nguyen TT; Department of Pharmaceutics, Hanoi University of Pharmacy, Hanoi 10000, Vietnam.
J Anal Methods Chem ; 2020: 8889375, 2020.
Article em En | MEDLINE | ID: mdl-33178479
ABSTRACT
A rapid and effective method using QuEChERS-based sample preparation procedure and liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis has been developed and validated to determine progesterone in rabbit plasma. The analyte was extracted from plasma by acetonitrile with phase partitioning by a mixture of magnesium sulfate and sodium chloride. The supernatant was then directly injected into LC-MS/MS in a positive electrospray ionization mode and quantified using progesterone-d9 as the internal standard. The method linearity was in the range from 1 ng/mL (LOQ) to 200 ng/mL. Method recovery was from 86.0% to 103%, and repeatability was lower than 5.5%. The plasma sample was stable for 12 weeks stored at 18 ± 2°C. This method was applied to quantify progesterone in rabbit plasma in a pharmacokinetic study of two transdermal formulations a reference drug and a eutectic-hydrogel system. The data indicate that the eutectic-hydrogel system's bioavailability was 1.5 times better than that of the reference drug, and the transdermal system is a potential drug delivery system for progesterone.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article