Unknown

Dataset Information

0

Application of novel plasma separation filter cards for quantification of nucleoside/nucleotide reverse transcriptase inhibitor di/triphosphates in dried blood spots using LC-MS.


ABSTRACT: Background: A rapid and sensitive LC-MS method has been developed and validated for the quantification of nucleoside di/triphosphates using a novel plasma separation card (HemaSep). Materials & methods: Cards were spotted with whole blood and stored at -80°C. Metabolites were extracted using 70:30 MeOH:20% formic acid, followed by weak anion exchange SPE and eluted using a Biobasic-AX column. Quantification was performed using a triple quadrupole mass spectrometer with a calibration range of 1.25-250 pmol/sample. Results: The recovery of metabolites was high (>93%). Precision and accuracy were acceptable and metabolites remained stable on the card after 29 days (stored at ambient temperature). Conclusion: HemaSep dried blood spots are a useful microsampling tool and offer an alternative to liquid plasma as they maintain stability over time.

SUBMITTER: Thompson B 

PROVIDER: S-EPMC10463213 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Application of novel plasma separation filter cards for quantification of nucleoside/nucleotide reverse transcriptase inhibitor di/triphosphates in dried blood spots using LC-MS.

Thompson Beth B   Dilly-Penchala Sujan S   Amara Alieu A   Reynolds Helen H   Khoo Saye S   Else Laura L  

Bioanalysis 20230609 13


<b>Background:</b> A rapid and sensitive LC-MS method has been developed and validated for the quantification of nucleoside di/triphosphates using a novel plasma separation card (HemaSep). <b>Materials & methods:</b> Cards were spotted with whole blood and stored at -80°C. Metabolites were extracted using 70:30 MeOH:20% formic acid, followed by weak anion exchange SPE and eluted using a Biobasic-AX column. Quantification was performed using a triple quadrupole mass spectrometer with a calibratio  ...[more]

Similar Datasets

| S-EPMC3114884 | biostudies-literature
| S-EPMC7756582 | biostudies-literature
| S-EPMC2928660 | biostudies-literature
| S-EPMC6467559 | biostudies-literature
| S-EPMC4274127 | biostudies-literature
| S-EPMC7318791 | biostudies-literature
| S-EPMC6629025 | biostudies-literature
| S-EPMC4625163 | biostudies-literature
| S-EPMC10782711 | biostudies-literature
| S-EPMC5063380 | biostudies-literature