Evidence map›Paper›PMID 35114472›Full record

ArticleJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2022

Improvement on recovery and reproducibility for quantifying urinary mono-hydroxylated polycyclic aromatic hydrocarbons (OH-PAHs).

Khue Nguyen, Masha Pitiranggon, Hui-Chen Wu, Esther M John, Regina M Santella, Mary Beth Terry, Beizhan Yan

Open access · greenAbstract read
In one paragraph

Article in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 29% of its field
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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Article
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 at 3 institutions in 1 country.

Khue NguyenLamont Doherty Earth Observatory, Columbia University, Palisades, NY, USA.
Masha PitiranggonLamont Doherty Earth Observatory, Columbia University, Palisades, NY, USA.
Hui-Chen WuDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Esther M JohnDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA; Department of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Regina M SantellaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Mary Beth TerryDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Beizhan YanLamont Doherty Earth Observatory, Columbia University, Palisades, NY, USA. Electronic address: yanbz@ldeo.columbia.edu.
Columbia University · USLamont-Doherty Earth Observatory · USStanford Medicine · US

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Anil K Rustgi · 1985 to 2026
$115.3M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
LEGACY: A cohort of youth in families from the Breast Cancer Family RegistryR01CA138822 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TERRY, MARY BETH · 2011 to 2015
$3.0M
Acquisition of a Sensitive QTrap LC/MS/MS System for Biomarker AnalysesS10OD020058 · OD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI YAN, BEIZHAN · 2016 to 2016
$413k
NCI NIH HHS P30 CA013696NCI NIH HHS R01 CA138822NIEHS NIH HHS P30 ES009089NIH HHS S10 OD020058
6 · The paper itself

Abstract

Efficient and reproducible measurements of multiple polycyclic aromatic hydrocarbon (PAH) metabolites in urinary samples are required to evaluate the complex health effects of PAH exposure. Here, we demonstrate a highly practical, automated off-line solid-phase extraction (SPE) of deconjugated hydroxylated PAHs followed by LC-MS/MS to simultaneously measure eight mono-hydroxylated PAH compounds: 1-hydroxynaphthalene, 2-hydroxynaphthalene, 2-hydroxyfluorene, 1-hydroxyphenanthrene, 2&3-hydroxyphenanthrene, 4-hydroxyphenanthrene and 1-hydroxypyrene. Initially, we observed low recovery rates (e.g., 16% for 1-hydroxypyrene) when using previously published methods. We optimized the procedure by choosing polymeric absorbent-based cartridges, automating the sample loading step by diluting samples with 15% methanol/sodium acetate, and most importantly, replacing acetonitrile with methanol as the eluting solvent. Optimized sample preparation has improved the recovery rates to more than 69% for analytes of interest. This improvement led to higher method sensitivity and detection frequency, especially for 1-hydroxypyrene, in all of 100 urine samples collected in the New York City site of the Legacy Girls Study. The limits of detection ranged from 7.6 pg/mL to 20.3 pg/mL using 1 mL of urine, compared to the 2 mL required in CDC, method 09-OD. The average coefficients of variance of quality control samples (n = 60) ranged between 7 and 21%; variance of repeated measurements (n = 45) was less than 10%. This efficient and reliable method for measuring PAH metabolites will greatly benefit epidemiology studies and biomonitoring programs.

Indexed as

AdolescentChildChromatography, LiquidEnvironmental ExposureFemaleHumansLimit of DetectionLinear ModelsPolycyclic Aromatic HydrocarbonsReproducibility of ResultsTandem Mass SpectrometryPolycyclic Aromatic HydrocarbonsLC-MS/MSPAH metabolitesRecoveryReproducibilitySolid-phase extractionUrine

Identifiers

PMID35114472
PMCPMC8884719
OpenAlexW4206647107

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.