Evidence map›Paper›PMID 39826161›Full record

ArticleJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2025

High-throughput UPLC-ESI/MSMS method for simultaneous measurement of the urinary metabolites of volatile organic compounds and tobacco alkaloids.

Shweta Srivastava, Tatiana Krivokhizhina, Rachel Keith, Aruni Bhatnagar, Sanjay Srivastava, Zhengzhi Xie, Pawel Lorkiewicz

Abstract read
In one paragraph

Article in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shweta SrivastavaChristina Lee Brown Envirome Institute, University of Louisville, Louisville, KY 40202, United States; Superfund Research Center, University of Louisville, Louisville, KY 40202, United States; Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, KY 40202, United States. Electronic address: shweta.srivastava@louisville.edu.
Tatiana KrivokhizhinaChristina Lee Brown Envirome Institute, University of Louisville, Louisville, KY 40202, United States; Superfund Research Center, University of Louisville, Louisville, KY 40202, United States; Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, KY 40202, United States. Electronic address: tatiana.krivokhizhina@louisville.edu.
Rachel KeithChristina Lee Brown Envirome Institute, University of Louisville, Louisville, KY 40202, United States; Superfund Research Center, University of Louisville, Louisville, KY 40202, United States; Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, KY 40202, United States. Electronic address: rachel.keith@louisville.edu.
Aruni BhatnagarChristina Lee Brown Envirome Institute, University of Louisville, Louisville, KY 40202, United States; Superfund Research Center, University of Louisville, Louisville, KY 40202, United States; Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, KY 40202, United States. Electronic address: aruni@louisville.edu.
Sanjay SrivastavaChristina Lee Brown Envirome Institute, University of Louisville, Louisville, KY 40202, United States; Superfund Research Center, University of Louisville, Louisville, KY 40202, United States; Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, KY 40202, United States. Electronic address: sanjay@louisville.edu.
Zhengzhi XieChristina Lee Brown Envirome Institute, University of Louisville, Louisville, KY 40202, United States; Superfund Research Center, University of Louisville, Louisville, KY 40202, United States; Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, KY 40202, United States. Electronic address: zhengzhi.xie@louisville.edu.
Pawel LorkiewiczChristina Lee Brown Envirome Institute, University of Louisville, Louisville, KY 40202, United States; Superfund Research Center, University of Louisville, Louisville, KY 40202, United States; Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, KY 40202, United States. Electronic address: pawel.lorkiewicz@louisville.edu.

Funding

ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
Superfund Training CoreP42ES023716 · NIEHS · UNIVERSITY OF LOUISVILLE · PI SRIVASTAVA, SANJAY · 2017 to 2025
$18.1M
Waters Xevo TQ-XS systemS10OD032361 · OD · UNIVERSITY OF LOUISVILLE · PI LORKIEWICZ, PAWEL K · 2022 to 2022
$408k
NHLBI NIH HHS U54 HL120163NIEHS NIH HHS P42 ES023716NIH HHS S10 OD032361
6 · The paper itself

Abstract

Human exposure to volatile organic compounds (VOCs) poses significant health risks, contributing to cardiovascular disease, pulmonary disease, and cancer. Measurement of VOC metabolites (VOCm) in urine by liquid chromatography-mass spectrometry (LC-MS) is a preferred method for VOCm analysis; however, existing methods encounter challenges related to sensitivity, throughput, and analyte coverage. In addition to VOCm, the measurement of tobacco alkaloids (TAm) is critical to account for tobacco use in population-based studies. A method is needed that is highly sensitive, offers higher throughput, and can analyze VOCm and TAm in a single run. Herein, we present a robust dilute-and-shoot method aimed at overcoming these analytical challenges and expanding the targeted analysis to include 35 urinary VOCm and TAm and their metabolites. By leveraging high-speed polarity switching and optimized chromatographic parameters, our method achieved comprehensive analyte coverage and enhanced sensitivity, enabling reliable individual level VOC exposure assessment. Validation demonstrates robust linearity, sensitivity, accuracy, and precision, with minimal matrix effects. This high-throughput UPLC-MS/MS method significantly enhances VOC exposure assessment by enabling simultaneous measurement of 35 urinary VOC and TAm with high sensitivity and efficiency. Multiple metabolites from single parent xenobiotics are included in one run, expanding biomarker specificity. Our data indicate the method effectively accounts for tobacco consumption as a confounder in population-based studies, ensuring accurate VOC exposure assessment.

Indexed as

AlkaloidsTandem Mass SpectrometryVolatile Organic CompoundsChromatography, High Pressure LiquidHigh-Throughput Screening AssaysHumansLimit of DetectionLinear ModelsNicotianaReproducibility of ResultsSpectrometry, Mass, Electrospray IonizationAlkaloidsVolatile Organic CompoundsBiomarkersTobaccoTobacco exposureVOCsVolatile organic compounds

Identifiers

PMID39826161
PMCPMC11929525

What OpenQuestion holds

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Registered trials

None linked

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.