ArticleEnvironmental science & technology2021
An Automated Methodology for Non-targeted Compositional Analysis of Small Molecules in High Complexity Environmental Matrices Using Coupled Ultra Performance Liquid Chromatography Orbitrap Mass Spectrometry.
Article in Environmental science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 61 citations in OpenAlex.
- Environmental Contaminants in Surface Snow Samples Made from Reclaimed Water at a Ski Resort: A Mass Spectrometry Analysis.ACS environmental Au · 2026Article
- Composition and metabolic potential of microbial communities in chemically contaminated soils: a multi-dimensional assessment.Frontiers in microbiology · 2026Article
- Multiclass Assays for Measuring Environmental Chemical Mixture Exposure: Analytical Methodologies and Applications in Exposomics Research.Metabolites · 2025Review
- Strategy to improve the confidence level of qualitative screening by high resolution mass spectrometry: A case study of mycotoxins in maize.Food chemistry: X · 2025Article
- A Semi-Quantitative Approach to Nontarget Compositional Analysis of Complex Samples.Analytical chemistry · 2024Article
- An integrated approach to evaluating water contaminants and evaporation in agricultural water distribution systems.Ecotoxicology and environmental safety · 2024Article
- Review
- Article
- Emerging contaminant exposure to aquatic systems in the Southern African Development Community.Environmental toxicology and chemistry · 2022Article
- The Potential of Sewage Sludge to Predict and Evaluate the Human Chemical Exposome.Environmental science & technology letters · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The life-critical matrices of air and water are among the most complex chemical mixtures that are ever encountered. Ultrahigh-resolution mass spectrometers, such as the Orbitrap, provide unprecedented analytical capabilities to probe the molecular composition of such matrices, but the extraction of non-targeted chemical information is impractical to perform via manual data processing. Automated non-targeted tools rapidly extract the chemical information of all detected compounds within a sample dataset. However, these methods have not been exploited in the environmental sciences. Here, we provide an automated and (for the first time) rigorously tested methodology for the non-targeted compositional analysis of environmental matrices using coupled liquid chromatography-mass spectrometric data. First, the robustness and reproducibility was tested using authentic standards, evaluating performance as a function of concentration, ionization potential, and sample complexity. The method was then used for the compositional analysis of particulate matter and surface waters collected from worldwide locations. The method detected >9600 compounds in the individual environmental samples, arising from critical pollutant sources, including carcinogenic industrial chemicals, pesticides, and pharmaceuticals among others. This methodology offers considerable advances in the environmental sciences, providing a more complete assessment of sample compositions while significantly increasing throughput.
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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.