Matrix effect marker for multianalyte analysis by LC-MS/MS in biological samples.

J Chromatogr B Analyt Technol Biomed Life Sci

Doping Control Laboratory Madrid, State Anti-Doping Agency, El Greco s/n, ES-28040, Madrid, Spain.

Published: July 2012

AI Article Synopsis

  • Matrix effects, including ion suppression and enhancement, pose challenges in high-performance liquid chromatography-mass spectrometry (LC-MS) analyses of biological samples like urine, particularly in doping control.
  • This study analyzes 100 urine samples with 41 analytes, offering a new marker to indicate when results may be unreliable due to ion suppression.
  • The research also introduces a selective sample preparation method and uses a deuterated internal standard to reduce ion suppression effects and improve the accuracy of glucocorticoid concentration estimations in urine.

Article Abstract

Matrix effects (ion suppression/enhancement) are a well-observed phenomenon in analyses of biological matrices by high-performance liquid chromatography-mass spectrometry (LC-MS). However, few simple solutions for detecting and minimizing these adverse effects have been described so far in multianalyte analysis, especially in the field of doping control. This study describes an exhaustive characterization of matrix effects in one hundred urine samples fortified with 41 analytes (glucocorticoids and diuretics). It introduces a novel marker to identify samples in which the reliability of the results is compromised because of acute ion suppression. This new strategy strengthens the rigor of the analysis for screening purposes. Once the matrix effect is identified, a selective sample preparation is introduced to minimize the adverse ion suppression effect. That selective extraction together with the use of a deuterated internal standard permits enhancing the ruggedness of the estimation of glucocorticoid concentration in urine.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jchromb.2012.06.007DOI Listing

Publication Analysis

Top Keywords

multianalyte analysis
8
matrix effects
8
ion suppression
8
matrix
4
matrix marker
4
marker multianalyte
4
analysis lc-ms/ms
4
lc-ms/ms biological
4
biological samples
4
samples matrix
4

Similar Publications

Article Synopsis
  • Pancreatic ductal adenocarcinoma (PDAC) is challenging to detect early, as current biomarkers like carbohydrate antigen 19-9 are not sufficient for reliable diagnosis.
  • A study analyzed serum samples from 88 subjects, including PDAC patients and controls, using advanced multi-omics methods to identify molecular changes associated with PDAC.
  • The research found 505 altered proteins, 186 metabolites, and 33 lipids; notably, it developed a machine learning model resulting in a 38 biomarker signature that could improve early detection of PDAC.
View Article and Find Full Text PDF

A Universal Method for Fingerprinting Multiplexed Bacteria: Evolving Pruned Sensor Arrays via Machine Learning-Driven Combinatorial Group-Specificity Strategy.

ACS Nano

December 2024

State Key Laboratory of Natural Medicines, National R&D Center for Chinese Herbal Medicine Processing, College of Engineering, China Pharmaceutical University, Nanjing 210009, China.

Array-based sensing technology holds immense potential for discerning the intricacies of biological systems. Nevertheless, developing a universal strategy for simultaneous identification of diverse types of multianalytes and meeting the diagnostic needs of a range of multiclassified clinical diseases poses substantial challenges. Herein, we introduce a combination method for constructing sensor arrays by assembling two types of group-specific elements.

View Article and Find Full Text PDF

Longitudinal biomonitoring of mycotoxin exposure during pregnancy in the Yale Pregnancy Outcome Prediction Study.

Environ Int

December 2024

Department of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, Währinger Straße 38, 1090 Vienna, Austria; Exposome Austria, Research Infrastructure and National EIRENE Node, Austria. Electronic address:

Article Synopsis
  • Mycotoxins, which are harmful fungal toxins, can negatively affect pregnant women and their babies, but there's limited information about their exposure in the US, particularly among pregnant women.
  • This study analyzed mycotoxin exposure in a group of 50 women during pregnancy by testing samples of their serum and urine at various stages using advanced liquid chromatography techniques.
  • Results indicated the presence of several mycotoxins, with notable detection rates for ochratoxin A and deoxynivalenol, showing some women exceeded recommended daily intake levels for these toxins.
View Article and Find Full Text PDF

Purpose: This study aimed to stratify patients with locally advanced rectal cancer (LARC) based on their response to neoadjuvant chemoradiation therapy (nCRT) using DNA damage response (DDR)-related proteins measured in peripheral blood monocytes (PBMCs). We optimized and validated an innovative assay to quantify these proteins, providing a predictive framework for nCRT response.

Experimental Design: We used PBMCs collected from LARC patients either before or after standard course of ∼5.

View Article and Find Full Text PDF

Discovery of multiple bee-hazardous pesticides in ornamental plants via the Bee-Plex multi-target microsphere screening method.

J Hazard Mater

November 2024

Wageningen Food Safety Research, Akkermaalsbos 2, 6708 WB, Wageningen, The Netherlands. Electronic address:

Exposure to pesticides is one of the main drivers of global bee decline. However, the occurrence of pesticides in bee-attracting crops remains underexposed due to the lack of efficient on-site screening approaches for multi-analyte monitoring. Utilizing color-encoded superparamagnetic microspheres, we constructed a portable 8-plex indirect competitive microsphere-based immunoassay for the simultaneous determination of multiple bee-hazardous residues (Bee-Plex).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!