Development and Validation of an Automated Sample Pretreatment Method for Liquid Chromatography-Tandem Mass Spectrometry Based Quantitation of Plasma Metanephrine and Normetanephrine
Year: 2025
Type: article
Abstract: Background: As the number of LC-MS/MS tests with high accuracy and precision have increased, sample pretreatment methods have also become more complex, thus making them more difficult for analysts to perform them manually.To overcome this, we implemented Janus G3 Automated Workstations (Revvity, Turku, Finland) and developed an automated sample pretreatment method for LC-MS/MS based quantitation of plasma metanephrine and normetanephrine in this study.Methods: The feasibility and analytical performances of the method including precision, accuracy, linearity, and carryover, were analyzed and compared with that of the manual sample preparation method.Results: The coefficients of variations for repeatability and within-laboratory precision were less than 10% for metanephrine and normetanephrine assays, meeting acceptable criteria.Accuracy bias values were less than 5%, also within acceptable limits.The verified linear ranges were 0.02 to 95.07 nmol/L for metanephrine and 0.02 to 102.34 nmol/L for normetanephrine.The pretreatment step alone using the Janus G3 Automated Workstations took 45 minutes, significantly shorter than the manual pretreatment method.The comparison between manual and automated pretreatment methods of LC-MS/MS measurement showed excellent agreement, with the following results: a correlation coefficient of 0.9958, slope of 1.000 (1.000-1.031),and intercept of 0.000 (-0.006-0.000)for plasma metanephrine, and 0.9976, 1.000 (0.972-1.005), and 0.000 (-0.002-0.022)for plasma normetanephrine, respectively.Conclusions: This automated sample pretreatment method with Janus G3 Automated Workstations showed acceptable performances for pretreatment steps of LC-MS/MS quantitation regarding both metanephrine and normetanephrine.This method offers a beneficial solution for analysts by reducing labor.
Source: Laboratory Medicine Online
Institution: Green Cross Laboratories (South Korea)
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411569734