ArticleEnvironmental science & technology2023
Phospholipid Removal for Enhanced Chemical Exposomics in Human Plasma.
Article in Environmental science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- Fast and Scalable Sample Preparation for Integrated Metabolome and Exposome-Wide Association Studies (MWAS/ExWAS).Analytical chemistry · 2026Article
- Understanding and Reporting PFAS Exposure: Wide-Scope Retrospective Suspect Screening of High-Resolution Mass Spectrometry Data from Exposomics Studies.Environmental science & technology · 2026Article
- Article
- Evaluating the Endocrine-Disrupting and Oxidative Stress Potential of a 50-Component Human-Relevant Complex Chemical Mixture Using In Vitro Tests.Journal of applied toxicology : JAT · 2026Article
- Volumetric absorptive microsampling for profiling of signaling lipids: a comparative analysis with whole blood and dried blood spots.Analytical and bioanalytical chemistry · 2026Article
- Multiclass Assays for Measuring Environmental Chemical Mixture Exposure: Analytical Methodologies and Applications in Exposomics Research.Metabolites · 2025Review
- Quantitative Exposomics Targeting over 200 Toxicants and Key Biomarkers at the Picomolar Level.Environmental science & technology · 2025Article
- Metabolome informs about the chemical exposome and links to brain health.Environment international · 2025Review
- Updated Guidance for Communicating PFAS Identification Confidence with Ion Mobility Spectrometry.Environmental science & technology · 2025Article
- Chemical exposomics in biobanked plasma samples and associations with breast cancer risk factors.Journal of exposure science & environmental epidemiology · 2025Article
- Fin Whale as a Sink of Legacy and Emerging Contaminants: First Integrated Chemical Exposomics and Gene Expression Analysis in Cetaceans.Environmental science & technology · 2025Article
- Chemical Exposomics in Human Plasma by Lipid Removal and Large-Volume Injection Gas Chromatography-High-Resolution Mass Spectrometry.Environmental science & technology · 2024Article
- Longitudinal Exposomics in a Multiomic Wellness Cohort Reveals Distinctive and Dynamic Environmental Chemical Mixtures in Blood.Environmental science & technology · 2024Article
- High-Resolution Mass Spectrometry for Human Exposomics: Expanding Chemical Space Coverage.Environmental science & technology · 2024Review
- Recovery of 400 Chemicals with Three Extraction Methods for Low Volumes of Human Plasma Quantified by Instrumental Analysis and In Vitro Bioassays.Environmental science & technology · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The challenge of chemical exposomics in human plasma is the 1000-fold concentration gap between endogenous substances and environmental pollutants. Phospholipids are the major endogenous small molecules in plasma, thus we validated a chemical exposomics protocol with an optimized phospholipid-removal step prior to targeted and non-targeted liquid chromatography high-resolution mass spectrometry. Increased injection volume with negligible matrix effect permitted sensitive multiclass targeted analysis of 77 priority analytes; median MLOQ = 0.05 ng/mL for 200 μL plasma. In non-targeted acquisition, mean total signal intensities of non-phospholipids were enhanced 6-fold in positive (max 28-fold) and 4-fold in negative mode (max 58-fold) compared to a control method without phospholipid removal. Moreover, 109 and 28% more non-phospholipid molecular features were detected by exposomics in positive and negative mode, respectively, allowing new substances to be annotated that were non-detectable without phospholipid removal. In individual adult plasma (100 μL,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.