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Background: Electronic cigarettes (e-cigarettes) have become popular, in part because they are perceived as a safer alternative to tobacco cigarettes. An increasing number of studies, however, have found toxic metals/metalloids in e-cigarette emissions.
Objective: We summarized the evidence on metal/metalloid levels in e-cigarette liquid (e-liquid), aerosols, and biosamples of e-cigarette users across e-cigarette device systems to evaluate metal/metalloid exposure levels for e-cigarette users and the potential implications on health outcomes.
Methods: We searched PubMed/TOXLINE, Embase®, and Web of Science for studies on metals/metalloids in e-liquid, e-cigarette aerosols, and biosamples of e-cigarette users. For metal/metalloid levels in e-liquid and aerosol samples, we collected the mean and standard deviation (SD) if these values were reported, derived mean and SD by using automated software to infer them if data were reported in a figure, or calculated the overall mean (mean ± SD) if data were reported only for separate groups. Metal/metalloid levels in e-liquids and aerosols were converted and reported in micrograms per kilogram and nanograms per puff, respectively, for easy comparison.
Results: We identified 24 studies on metals/metalloids in e-liquid, e-cigarette aerosols, and human biosamples of e-cigarette users. Metal/metalloid levels, including aluminum, antimony, arsenic, cadmium, cobalt, chromium, copper, iron, lead, manganese, nickel, selenium, tin, and zinc, were present in e-cigarette samples in the studies reviewed. Twelve studies reported metal/metalloid levels in e-liquids (bottles, cartridges, open wick, and tank), 12 studies reported metal/metalloid levels in e-cigarette aerosols (from cig-a-like and tank devices), and 4 studies reported metal/metalloid levels in human biosamples (urine, saliva, serum, and blood) of e-cigarette users. Metal/metalloid levels showed substantial heterogeneity depending on sample type, source of e-liquid, and device type. Metal/metalloid levels in e-liquid from cartridges or tank/open wicks were higher than those from bottles, possibly due to coil contact. Most metal/metalloid levels found in biosamples of e-cigarette users were similar or higher than levels found in biosamples of conventional cigarette users, and even higher than those found in biosamples of cigar users.
Conclusion: E-cigarettes are a potential source of exposure to metals/metalloids. Differences in collection methods and puffing regimes likely contribute to the variability in metal/metalloid levels across studies, making comparison across studies difficult. Standardized protocols for the quantification of metal/metalloid levels from e-cigarette samples are needed. https://doi.org/10.1289/EHP5686.
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http://dx.doi.org/10.1289/EHP5686 | DOI Listing |
Biometals
September 2025
Fish Research Centre, Faculty of Environmental Agricultural Sciences, Arish University, El-Arish, Egypt.
Bioaccumulation of metals and metalloids in marine environments poses a significant risk to both human and aquatic health, with seasonal fluctuations substantially influencing its dynamics and magnitude. This study investigated the impact of metals and metalloids exposure on the health of Wallago attu (Wallago catfish) and Catla catla (Indian carp) inhabiting the Head Siphon, Mailsi, Pakistan. This study involved the seasonal (May 2022, October 2022, April 2023) assessment of physicochemical properties and the concentrations of several metals and metalloids-copper (Cu), chromium (Cr), arsenic (As), cadmium (Cd), nickel (Ni), zinc (Zn), and iron (Fe)-in water samples.
View Article and Find Full Text PDFBiometals
September 2025
Environmental Health Department, National Institute of Public Health, 62100, Cuernavaca, Morelos, Mexico.
Describe the levels of arsenic, mercury, manganese, and lead in the hair of older Mexican adults and analyze their association with exposure and sociodemographic factors. This cross-sectional study used a random subsample of 2474 adults aged 50 and older from the 2018 Mexican Health and Aging Study. Metal levels in hair were quantified using inductively coupled plasma mass spectrometry and an optical emission spectrometer with a hydride generator.
View Article and Find Full Text PDFEnviron Pollut
May 2025
Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China. Electronic address:
The liver is vulnerable to damage from environmental pollutants, but evidence on the effects of non-essential metal/metalloid (NEM) mixture on liver function and their mechanisms remains limited. The study aimed to explore the correlations between individual NEMs and their combinations with liver function, and the mediating roles of lipid profiles. The research involved 2642 individuals aged 60 and older in China.
View Article and Find Full Text PDFEnviron Toxicol Chem
June 2025
Programa de Pós-Graduação em Ecologia e Recursos Naturais, Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil.
Anthropogenic activity associated with metallurgy affects nearby aquatic ecosystems by contaminating them with metallic effluents (e.g., liquid and aerosols).
View Article and Find Full Text PDFInt J Environ Res Public Health
February 2025
Department of Built Environment, North Carolina A&T State University, Greensboro, NC 27411, USA.
Background: Environmental exposures to heavy metals/metalloids such as arsenic, cadmium, and mercury have been implicated in adverse cardiovascular health outcomes. Using data from the All of Us research program, we investigated the associations between these metals/metalloids and six cardiovascular-related biomarkers: systolic blood pressure (SBP), HDL cholesterol, LDL cholesterol, C-reactive protein (CRP), total cholesterol, and triglycerides.
Methods: This study explored the relationship between outcome cardiovascular variables (SBP, CRP, LDL, HDL, triglycerides, and total cholesterol) and predictor metal/metalloid variables (cadmium, mercury, and arsenic) among 136 participants (53.