Abstract

A high-performance liquid chromatography-tandem mass spectrometric (LC-MS/MS) method has been developed and validated for the quantitative analysis of loratadine, an H1 histamine antagonist, in human dried blood spot (DBS) samples following a single self-administered 10 or 20mg oral dose. The samples were produced by spotting approximately 30μl of whole blood onto PE-226 cards. Two 3-mm discs were cut from the DBS samples and extracted using aqueous methanol containing the internal standard. After transfer and drying of the resulting sample extract, the reconstituted residues were chromatographed using a Waters XSelect C18 column and isocratic elution for MS/MS detection. The possible impact due to hematocrit, volume of blood sample spotted, storage temperature, and humidity, on the accuracy of measured DBS results were investigated. The results showed that only spotted blood volume might have an impact; a small volume (10μl) tended to give a larger negative bias in the measured value than the large volume ones (≥20μl). The current method was fully validated over a dynamic range of 0.200-20.0ng/ml with correlation coefficients (r(2)) for three validation batches equal to or better than 0.990. The intra-day accuracy and precision at the LLOQ were -11.5 to 0.0% bias and 6.4 to 8.9% CV, respectively. For the other QC samples (0.600, 3.00, 10.0 and 15.0ng/ml), the precision ranged from 4.2 to 9.8% CV and from 6.3 to 8.1% CV, respectively, in the intra-day and inter-day evaluations; the accuracy ranged from -1.7 to 10.0% and 2.7 to 5.3% bias, respectively, in the intra-day and inter-day batches. Loratadine is stable in the DBS samples for at least 271 days at ambient temperature in a desiccator, for at least 24h at 60°C and under 80% relative humidity, followed by re-conditioning at ambient temperature in a desiccator. The current methodology has been applied to determine the loratadine levels in DBS samples collected by subjects in a clinical research study to evaluate pharmacokinetic sampling in point-of-care setting.

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