Evidence map›Paper›PMID 37120701›Full record

ArticleJournal of exposure science & environmental epidemiology2023

Evaluating non-targeted analysis methods for chemical characterization of organic contaminants in different matrices to estimate children's exposure.

Danni Cui, Joseph Cox, Emily Mejias, Brian Ng, Piero Gardinali, Daniel M Bagner, Natalia Quinete

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Mass and particle size distribution of household dust on children's hands.Journal of exposure science & environmental epidemiology · 2026
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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.

Danni Cui *Institute of Environment, Florida International University, Miami, FL, USA.
Joseph Cox *Institute of Environment, Florida International University, Miami, FL, USA.
Emily MejiasInstitute of Environment, Florida International University, Miami, FL, USA.
Brian NgInstitute of Environment, Florida International University, Miami, FL, USA.
Piero GardinaliInstitute of Environment, Florida International University, Miami, FL, USA.
Daniel M BagnerDepartment of Psychology, Center for Children and Families, Florida International University, Miami, FL, USA.
Natalia QuineteInstitute of Environment, Florida International University, Miami, FL, USA. nsoaresq@fiu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildren are vulnerable to environmental exposure of contaminants due to their small size, lack of judgement skills, as well as their proximity to dust, soil, and other environmental sources. A better understanding about the types of contaminants that children are exposed to or how their bodies retain or process these compounds is needed.

objectiveIn this study, we have implemented and optimized a methodology based on non-targeted analysis (NTA) to characterize chemicals in dust, soil, urine, and in the diet (food and drinking water) of infant populations.

methodsTo evaluate potential toxicological concerns associated with chemical exposure, families with children between 6 months and 6 years of age from underrepresented groups were recruited in the greater Miami area. Samples of soil, indoor dust, food, water, and urine were provided by the caregivers, prepared by different techniques (involving online SPE, ASE, USE, QuEChERs), and analyzed by liquid chromatography-high resolution mass spectrometry (LC-HRMS). Data post-processing was performed using the small molecule structure identification software, Compound Discoverer (CD) 3.3, and identified features were plotted using Kendrick mass defect plot and Van Krevelen diagrams to show unique patterns in different samples and regions of anthropogenic compound classifications.

resultsThe performance of the NTA workflow was evaluated using quality control standards in terms of accuracy, precision, selectivity, and sensitivity, with an average of 98.2%, 20.3%, 98.4% and 71.1%, respectively. Sample preparation was successfully optimized for soil, dust, water, food, and urine. A total of 30, 78, 103, 20 and 265 annotated features were frequently identified (detection frequency >80%) in the food, dust, soil, water, and urine samples, respectively. Common features detected in each matrix were prioritized and classified, providing insight on children's exposure to organic contaminants of concern and their potential toxicities. IMPACT STATEMENT: Current methods to assess the ingestion of chemicals by children have limitations and are generally restricted by specific classes of targeted organic contaminants of interest. This study offers an innovative approach using non-targeted analysis for the comprehensive screening of organic contaminants that children are exposed to through dust, soil, and diet (drinking water and food).

Indexed as

Drinking WaterChildDustEnvironmental ExposureHumansMass SpectrometrySoilDrinking WaterDustSoilDustNTAOrganic chemicalsSoilUrineYoung children

Identifiers

PMID37120701
PMCPMC10148696

What OpenQuestion holds

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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.