Related Experiment Video
Updated: Feb 16, 2026

Ubiquitin Chain Analysis by Parallel Reaction Monitoring
Published on: June 17, 2020
Doping control analysis of 13 steroids and structural-like analytes in human urine using Quadrupole-Orbitrap LC-MS/MS
Genye He1, Yun Wu1, Jianghai Lu1
1National Anti-doping Laboratory, China Anti-Doping Agency, 1st Anding Road, ChaoYang District, Beijing 100029, PR China.
Abstract:
Anabolic androgenic steroids (AASs) and structural-like substances are commonly prohibited substances found in doping control studies that can be difficult to accurately detect. In the present study, 11 AASs and 2 structural-like substances that are commonly detected were examined. Currently, such analytes are detected using low resolution GC-MS/MS or LC-MS/MS, with detection not always possible. Herein, the high resolution Quadrupole-Orbitrap liquid chromatography-tandem mass spectrometry LC-MS/MS system Q Exactive was utilized to increase the specificity. This approach was then combined for the first time with parallel reaction monitoring (PRM) during the screening procedure. The results confirmed high specificity, with the LODs of all 13 analytes being at least 25-fold lower than corresponding MRPLs as defined by WADA. Furthermore, the extraction recoveries were above 70% and the intra- and inter-day precisions were lower than 15%. This approach was successfully applied to analyze over 10,000 samples with no false-positive or false-negative results, thus suggesting that Quadrupole-Orbitrap LC-MS/MS when combined with PRM is an effective method for doping control analysis.
More Related Videos
13:35Structural Biology and Analytical Chemistry Approaches for Characterizing C-Glycoside Metabolic Enzymes in Human Gut Microbiota
Published on: May 23, 2025
11:49Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue
Published on: August 28, 2021
Related Concept Videos
Filtration and Urine Formation
Urine Studies II: Urine Culture and Sensitivity Test
What is a Mode?
There can be more than one mode in a data set if multiple values have the same highest frequency. For instance, suppose that the Statistics exam scores of 20 students are: 50; 53; 59; 59; 63; 63; 72; 72; 72; 72; 72; 76; 78; 81; 83; 84; 84; 84; 90; 93. Here, the mode is 72, as it occurs most frequently, five times.
A data set with two modes is called bimodal. For example,...
Parallel Processing
Parallel Resonance
Ventilatory Modes
There are three ventilatory modes: full support, partial support, and spontaneous. These are described below.
Full Support Modes
Full support modes include controlled mechanical ventilation, continuous mandatory...