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DOI 10.1016/j.jpba.2018.04.036

Медицинская библиотека · Journal of pharmaceutical and biomedical analysis · 2018

Volumetric absorptive MicroSampling vs. other blood sampling materials in LC-MS-based protein analysis - preliminary investigations.

Andersen Ida Kristine Lysgaard, Rosting Cecilie, Gjelstad Astrid, Halvorsen Trine Grønhaug

Сравнительное исследованиеСтатьяПеревод пока не подготовлен

Аннотация

The aim was to evaluate the performance of different microsampling materials in LC-MS-based protein analysis. The evaluated materials were the Volumetric Absorptive MicroSampling (VAMS) device, the pure cellulose sampling material (DMPK-C) and the water-soluble material (carboxymethyl cellulose, CMC), with the main emphasis on VAMS. Six proteins with different physicochemical properties were used as model proteins. A quick and generic sample preparation consisting of extraction/dissolution of the blood spot, tryptic digestion and subsequent matrix precipitation was applied prior to analysis. The recovery from VAMS, compared to DMPK-C, was dependent on the protein analyte: Lower recovery compared to DMPK-C was seen for β-lactoglobulin and myoglobin (74% and 80%, respectively) while higher recovery compared to DMPK-C was seen for cytochrome c and albumin (149% and 197%, respectively). The recovery from CMC was comparable to the recovery from DMPK-C for all proteins except for cytochrome c (76%). Hematocrit bias was evaluated for DMPK-C and VAMS, and the blood hematocrit influenced the protein analysis from both the materials. A preliminary evaluation was performed for VAMS: The correlation coefficient (R2 ≥ 0.983), the accuracy (71-101%) and the precision (RSD ≤ 20%) were determined for blood spiked with the six model proteins.

Для цитирования: Andersen Ida Kristine Lysgaard, Rosting Cecilie, Gjelstad Astrid, Halvorsen Trine Grønhaug. Volumetric absorptive MicroSampling vs. other blood sampling materials in LC-MS-based protein analysis - preliminary investigations.. Journal of pharmaceutical and biomedical analysis. 2018. DOI: 10.1016/j.jpba.2018.04.036.

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