Evidence map›Paper›PMID 40998745›Full record

ArticleEnvironmental science & technology2025

Examining the Compositional Selectivity of Hydrocarbon Oxidation Products Using Liquid-Liquid Extraction and Solid-Phase Extraction Techniques.

Phoebe Zito, Rana Ghannam, Maxwell L Harsha, Barbara A Bekins, David C Podgorski

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Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Phoebe ZitoDepartment of Chemistry, Chemical Analysis Mass Spectrometry Facility, Pontchartrain Institute for Environmental Sciences, University of New Orleans, New Orleans, Louisiana 70148, United States.ORCID 0000-0002-7011-1940
Rana GhannamDepartment of Chemistry, Chemical Analysis Mass Spectrometry Facility, Pontchartrain Institute for Environmental Sciences, University of New Orleans, New Orleans, Louisiana 70148, United States.
Maxwell L HarshaDepartment of Chemistry, Chemical Analysis Mass Spectrometry Facility, Pontchartrain Institute for Environmental Sciences, University of New Orleans, New Orleans, Louisiana 70148, United States.ORCID 0000-0002-9828-2792
Barbara A BekinsU.S. Geological Survey, Moffett Field, California 94035, United States.ORCID 0000-0002-1411-6018
David C PodgorskiDepartment of Chemistry, Chemical Analysis Mass Spectrometry Facility, Pontchartrain Institute for Environmental Sciences, University of New Orleans, New Orleans, Louisiana 70148, United States.ORCID 0000-0002-1070-5923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of extraction methods on detecting hydrocarbon oxidation products (HOPs) in groundwater remains unclear. HOPs are polar, water-soluble byproducts of petroleum biodegradation. Our previous work showed that liquid-liquid extraction (LLE), a method commonly used in regulatory monitoring, has a significantly lower extraction efficiency for HOPs compared to solid-phase extraction (SPE). In this study, we evaluate the analytical limitations and compositional selectivity of LLE and SPE using groundwater samples from the Bemidji, MN, crude oil spill site. Optical properties were characterized using excitation-emission matrix spectroscopy (EEMs), and a three-component PARAFAC model was validated, showing consistent trends across both extracts and whole water samples. Ultrahigh-resolution mass spectrometry (UHR-MS) revealed that LLE selectively recovered aliphatic-like compounds but underrepresented more polar oxygenated HOPs. In contrast, SPE methods were more effective at isolating highly oxidized compound classes. These differences were consistent across a gradient of contamination. Overall, the LLE was less precise and less representative of polar HOPs, introducing bias in the characterization of HOPs. This study is the first to quantitatively demonstrate the compositional selectivity and analytical bias of LLE versus SPE for HOPs using combined EEM-PARAFAC and UHR-MS techniques, with implications for long-term monitoring and site assessment protocols.

Indexed as

HydrocarbonsLiquid-Liquid ExtractionSolid Phase ExtractionGroundwaterOxidation-ReductionPetroleumWater Pollutants, ChemicalHydrocarbonsPetroleumWater Pollutants, ChemicaldichloromethaneEEMsfluorescencegreen chemistrygreen extractionhigh resolution mass spectrometryoil spillpetroleum

Identifiers

PMID40998745
PMCPMC12646497

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LicenceCC BY-NC-ND
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Registered trials

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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.