Silicone wristbands integrate dermal and inhalation exposures to semi-volatile organic compounds (SVOCs)

Wang, Shaorui; Romanak, Kevin; Stubbings, William A.; Arrandale, Victoria H; Hendryx, Michael; Diamond, Miriam L.; Salamova, Amina; Venier, Marta

doi:10.1016/j.envint.2019.105104

Cited by 80 publications

(122 citation statements)

References 38 publications

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“…In many instances, the cleanup of complex matrices is necessary to provide a viable sample that produces accurate and reproducible results for compounds that are well recovered in a particular sample cleanup condition. For silicone wristbands, many studies have optimized sample cleanup procedures that involve labor‐intensive steps including gel permeation chromatography, or multiple SPE procedures to accommodate a wide range of contaminants for targeted analysis or qualitative screenings 11,12,17 . Therefore, we investigated results from wristbands prepared without cleanup and compared them with samples that were passed through an SPE cartridge to remove some of the unwanted matrix.…”

Section: Resultsmentioning

confidence: 99%

“…For silicone wristbands, many studies have optimized sample cleanup procedures that involve labor-intensive steps including gel permeation chromatography, or multiple SPE procedures to accommodate a wide range of contaminants for targeted analysis or qualitative screenings. 11,12,17 Therefore, we investigated results from wristbands prepared without cleanup and compared them with samples that were passed through an SPE cartridge to remove some of the unwanted matrix. The MS data for the final extracts were processed following Figure 1 and the total number of features were recorded as well as features after filtering (Table 2).…”

Section: Investigating Efficiency Of Sample Preparation Proceduresmentioning

confidence: 99%

“…Silicone wristbands have become a popular noninvasive technique for assessing personal exposure to environmental organic contaminants in children 1–6 and adults 7–28 . The wristband samplers are generally worn for a 7‐day period to capture a wide range of chemicals that represent typical environmental exposures.…”

Section: Introductionmentioning

confidence: 99%

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Optimized workflow for unknown screening using gas chromatography high‐resolution mass spectrometry expands identification of contaminants in silicone personal passive samplers

Travis

Kordas

Aga

2021

Rapid Comm Mass Spectrometry

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Rationale Silicone wristbands have emerged as valuable passive samplers for monitoring of personal exposure to environmental contaminants in the rapidly developing field of exposomics. Once deployed, silicone wristbands collect and hold a wealth of chemical information that can be interrogated using high‐resolution mass spectrometry (HRMS) to provide a broad coverage of chemical mixtures. Methods Gas chromatography coupled to Orbitrap™ mass spectrometry (GC/Orbitrap™ MS) was used to simultaneously perform suspect screening (using in‐house database) and unknown screening (using vendor databases) of extracts from wristbands worn by volunteers. The goal of this study was to optimize a workflow that allows detection of low levels of priority pollutants, with high reliability. In this regard, a data processing workflow for GC/Orbitrap™ MS was developed using a mixture of 123 environmentally relevant standards consisting of pesticides, flame retardants, organophosphate esters, and polycyclic aromatic hydrocarbons as test compounds. Results The optimized unknown screening workflow using a search index threshold of 750 resulted in positive identification of 70 analytes in validation samples, and a reduction in the number of false positives by over 50%. An average of 26 compounds with high confidence identification, 7 level 1 compounds and 19 level 2 compounds, were observed in worn wristbands. The data were further analyzed via suspect screening and retrospective suspect screening to identify an additional 36 compounds. Conclusions This study provides three important findings: (1) a clear evidence of the importance of sample cleanup in addressing complex sample matrices for unknown analysis, (2) a valuable workflow for the identification of unknown contaminants in silicone wristband samplers using electron ionization HRMS data, and (3) a novel application of GC/Orbitrap™ MS for the unknown analysis of organic contaminants that can be used in exposomics studies.

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Section: Resultsmentioning

confidence: 99%

Section: Investigating Efficiency Of Sample Preparation Proceduresmentioning

confidence: 99%

See 1 more Smart Citation

Optimized workflow for unknown screening using gas chromatography high‐resolution mass spectrometry expands identification of contaminants in silicone personal passive samplers

Travis

Kordas

Aga

2021

Rapid Comm Mass Spectrometry

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“…Silicone wristbands appear to be the simplest, least expensive, and easiest to deploy WHD for capturing potential contact and inhalation exposure for a large number of potentially dangerous chemicals, including polyaromatic hydrocarbons (PAHs), polybrominated diphenyl ethers (PBDEs), polychlorinated biphenyls (PCBs), flame retardants, pesticides, pharmaceuticals, personal care products, dioxins, furans, some endocrine-disrupting chemicals, potential carcinogens, and other chemicals ( 94 – 96 ). Rapid progress also is being made in development of practical WHDs for cholesterol cortisol, glucose, and other parameters ( 1 ).…”

Section: Resultsmentioning

confidence: 99%

Framework for a Community Health Observing System for the Gulf of Mexico Region: Preparing for Future Disasters

Sandifer

Knapp

Lichtveld

et al. 2020

Front. Public Health

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The Gulf of Mexico (GoM) region is prone to disasters, including recurrent oil spills, hurricanes, floods, industrial accidents, harmful algal blooms, and the current COVID-19 pandemic. The GoM and other regions of the U.S. lack sufficient baseline health information to identify, attribute, mitigate, and facilitate prevention of major health effects of disasters. Developing capacity to assess adverse human health consequences of future disasters requires establishment of a comprehensive, sustained community health observing system, similar to the extensive and well-established environmental Sandifer et al. Community Health Observing System observing systems. We propose a system that combines six levels of health data domains, beginning with three existing, national surveys and studies plus three new nested, longitudinal cohort studies. The latter are the unique and most important parts of the system and are focused on the coastal regions of the five GoM States. A statistically representative sample of participants is proposed for the new cohort studies, stratified to ensure proportional inclusion of urban and rural populations and with additional recruitment as necessary to enroll participants from particularly vulnerable or under-represented groups. Secondary data sources such as syndromic surveillance systems, electronic health records, national community surveys, environmental exposure databases, social media, and remote sensing will inform and augment the collection of primary data. Primary data sources will include participant-provided information via questionnaires, clinical measures of mental and physical health, acquisition of biological specimens, and wearable health monitoring devices. A suite of biomarkers may be derived from biological specimens for use in health assessments, including calculation of allostatic load, a measure of cumulative stress. The framework also addresses data management and sharing, participant retention, and system governance. The observing system is designed to continue indefinitely to ensure that essential pre-, during-, and post-disaster health data are collected and maintained. It could also provide a model/vehicle for effective health observation related to infectious disease pandemics such as COVID-19. To our knowledge, there is no comprehensive, disaster-focused health observing system such as the one proposed here currently in existence or planned elsewhere. Significant strengths of the GoM Community Health Observing System (CHOS) are its longitudinal cohorts and ability to adapt rapidly as needs arise and new technologies develop.

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“…Aerts et al 29 detected pesticide residues in wristbands not present in paired air samples, suggesting that silicone wristbands directly worn on the skin may also capture ingested or dermal contaminants. Wang et al 30 found that wristband analytes were better correlated with dermal wipes plus air measurements than with air alone, indicating that inhalation and dermal routes of exposure were measured by the silicone wristband sampler. The route of exposure assessed by the wristband in children exposed to tobacco products should be further investigated.…”

Section: Discussionmentioning

confidence: 99%

Nicotine, Cotinine, and Tobacco-Specific Nitrosamines Measured in Children’s Silicone Wristbands in Relation to Secondhand Smoke and E-cigarette Vapor Exposure

Quintana

López-Gálvez

Dodder

et al. 2020

Nicotine &Amp; Tobacco Research

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Introduction Simple silicone wristbands (WB) hold promise for exposure assessment in children. We previously reported strong correlations between nicotine in WB worn by children and urinary cotinine (UC). Here, we investigated differences in WB chemical concentrations among children exposed to secondhand smoke from conventional cigarettes (CC) or secondhand vapor from electronic cigarettes (EC), and children living with nonusers of either product (NS). Methods Children (n = 53) wore three WB and a passive nicotine air sampler for 7 days and one WB for 2 days, and gave a urine sample on day 7. Caregivers reported daily exposures during the 7-day period. We determined nicotine, cotinine, and tobacco–specific nitrosamines (TSNAs) concentrations in WB, nicotine in air samplers, and UC through isotope-dilution liquid chromatography with triple-quadrupole mass spectrometry. Results Nicotine and cotinine levels in WB in children differentiated between groups of children recruited into NS, EC exposed, and CC exposed groups in a similar manner to UC. WB levels were significantly higher in the CC group (WB nicotine median 233.8 ng/g silicone, UC median 3.6 ng/mL, n = 15) than the EC group (WB nicotine median: 28.9 ng/g, UC 0.5 ng/mL, n = 19), and both CC and EC group levels were higher than the NS group (WB nicotine median: 3.7 ng/g, UC 0.1 ng/mL, n = 19). TSNAs, including the known carcinogen NNK, were detected in 39% of WB. Conclusions Silicone WB show promise for sensitive detection of exposure to tobacco-related contaminants from traditional and electronic cigarettes and have potential for tobacco control efforts. Implications Silicone WB worn by children can absorb nicotine, cotinine, and tobacco-specific nitrosamines, and amounts of these compounds are closely related to the child’s urinary cotinine. Levels of tobacco-specific compounds in the silicone WB can distinguish patterns of children’s exposure to secondhand smoke and e-cigarette vapor. Silicone WB are simple to use and acceptable to children and, therefore, may be useful for tobacco control activities such as parental awareness and behavior change, and effects of smoke-free policy implementation.

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Silicone wristbands integrate dermal and inhalation exposures to semi-volatile organic compounds (SVOCs)

Cited by 80 publications

References 38 publications

Optimized workflow for unknown screening using gas chromatography high‐resolution mass spectrometry expands identification of contaminants in silicone personal passive samplers

Optimized workflow for unknown screening using gas chromatography high‐resolution mass spectrometry expands identification of contaminants in silicone personal passive samplers

Framework for a Community Health Observing System for the Gulf of Mexico Region: Preparing for Future Disasters

Nicotine, Cotinine, and Tobacco-Specific Nitrosamines Measured in Children’s Silicone Wristbands in Relation to Secondhand Smoke and E-cigarette Vapor Exposure

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