LC-ESI-MS/MS estimation of loratadine-loaded self-nanoemulsifying drug delivery systems in rat plasma: Pharmacokinetic evaluation and computer simulations by GastroPlus™

Authors: Verma S, Singh SK
Publication: J Pharm Biomed Anal
Software: GastroPlus®


A rapid, sensitive, and accurate bioanalytical method was established for the quantitation and pharmacokinetic investigation of loratadine (LTD) in rat plasma by liquid chromatography–electrospray ionization mass spectrometry (LC-ESI-MS/MS) using loratadine-d5 as internal standard (ISTD). The analyte and ISTD were extracted by solid-phase extraction and chromatographic separation was achieved on Gemini NX- Reverse Phase C18 (50 × 4.6 mm;5 μ) using mobile phase mixture of 5 mM ammonium formate buffer in water (pH 3.5 ± 0.1 with formic acid), and acetonitrile (20:80 v/v), at a flow rate of 0.400 mL/min with injection volume of 10 μL. LTD and ISTD were detected at m/z 383.3 → 337.4 and 388.4 → 337.3 with retention time of 2.62 and 2.59 min, respectively. High sensitivity (1.0 ng/mL) was achieved using small volume of rat plasma (20 μL) and the method was validated over a linearity range of 1.05–405.41 ng/mL with high correlation coefficient (r = 0.9998). The extraction method displayed a mean process efficiency of 63.25 and 65.47% for LTD and ISTD, respectively. The validated method when successfully applied for quantification of LTD in rat plasma revealed enhanced bioavailability of orally administered LTD-loaded self-nanoemulsifying drug delivery system (SNEDDS) (Cmax, 466.65 ± 18.94 ng/mL and AUC0-t 633.00 ± 12.44 ng-h/mL) over LTD-suspension (Cmax, 104.75 ± 2.87 ng/mL and AUC0-t 287.00 ± 9.11 ng-h/mL). The in vivo-in silico prediction by the GastroPlus™ software showed good prediction accuracy for LTD-SNEDDS (fold error < 2). The Loo-Reigelman method (2-compartment) presented best model-fitting indicating adequate in vitro–in vivo correlations. Conclusively, the developed sensitive analytical method displayed enhanced systemic availability of LTD-SNEDDS, and the in vivo in silico approach revealed sufficiently good GI simulation.