An Ultra-High-Performance Liquid Chromatography Coupled with Tandem Mass Spectrometry Method with Online Solid-Phase Extraction Sample Preparation for the High-Throughput and Sensitive Determination of Ostarine in Human Urine.
Kristián SlížJuraj PiešťanskýPeter MikusPublished in: Methods and protocols (2024)
Ostarine is frequently misused as a selective androgen receptor modulator (SARM) in sports. Consequently, there is a pressing need for reliable and simple approaches to monitor its presence in biological systems. In this work, we developed a two-dimensional analytical method utilizing online solid-phase extraction (online-SPE) in conjunction with ultra-high-performance liquid chromatography and tandem mass spectrometry (triple quadrupole). This automated 2D separation approach is characterized by minimum manual steps in the sample preparation (only dilute-and-shoot), reflecting high sample throughput and the reliability of analytical data. It provides favorable performance parameters, including a limit of detection of 0.5 pg/mL, high accuracy (relative error = 1.6-7.5%), precision (relative standard deviation = 0.8-4.5%), and sensitivity. Additionally, it demonstrates excellent linearity (r 2 = 0.9999) in the calibration range of 0.05 to 25 ng/mL and robustness, with no carryover effects observed. This comparative study revealed a two-decadic-order-lower LOD of the SPE-UHPLC-MS/MS method to the corresponding UHPLC-MS/MS method and the lowest one in the group of currently published LC-MS methods. The World Anti-Doping Agency screening and confirmation criteria were met through the analysis of spiked urine samples from ten healthy volunteers. Accordingly, the proposed method is suitable for routine use in antidoping laboratories.
Keyphrases
- tandem mass spectrometry
- solid phase extraction
- ultra high performance liquid chromatography
- liquid chromatography
- molecularly imprinted
- high performance liquid chromatography
- liquid chromatography tandem mass spectrometry
- simultaneous determination
- ms ms
- gas chromatography
- high resolution mass spectrometry
- mass spectrometry
- gas chromatography mass spectrometry
- high resolution
- high throughput
- single cell
- health information
- social media
- deep learning
- endothelial cells
- machine learning
- artificial intelligence
- systematic review