Microbial Toxins in Nicotine Vaping Liquids.
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ABSTRACT:
SUBMITTER: Lee MS
PROVIDER: S-EPMC7068821 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Electronic cigarettes (e-cigarettes, vaping products) have become increasingly popular, with recent increases in use associated with closed systems delivering higher concentrations of nicotine. Most vaping products designed as an alternative to combustible cigarettes contain nicotine. A number of published studies have examined the reported concentrations of nicotine in vaping liquids (e-liquids) and found discrepancies between labelled and measured levels. Some discrepancy can also be explained by the lack of stability of nicotine in these types of products. Recently, a chemical analysis method for the quantitative determination of low and high levels of nicotine in vaping liquids was developed. This method uses dilution with acetonitrile prior to analysis with gas chromatograph mass spectrometry (GC-MS) in single ion monitoring mode (SIM). The developed method was validated using a laboratory-prepared vaping liquid as well as commercially available, nicotine-free products fortified with nicotine in the laboratory. The method detection limit (MDL) and the limit of quantitation (LOQ) for nicotine were calculated to be 0.002 mg/mL and 0.006 mg/mL, respectively. The newly developed method was applied to quantify nicotine in commercially available vaping liquids of various flavour profiles and across a wide range of nicotine concentrations, including those with nicotine salts. Furthermore, a subset of vaping liquids were analyzed to elucidate nicotine stability in various product subtypes. After a period of six months of accelerated storage to mimic one year, the overall mean percent of the original nicotine concentration remaining in the salt-based vaping products was 85% (minimum 64%, maximum 99%) while in the free-base nicotine products it was 74% (minimum 31%, maximum 106%). Nicotine stability in vaping liquids was found to be influenced by the nicotine form (pH) of formulation and its chemical composition. Non-targeted, qualitative analysis of chemical composition of vaping products showed that most constituents were identified and found to be remaining in the products following stability trials; however, three new compounds were tentatively identified in some vaping liquids at the end of the stability trials. Stability studies and the accurate quantitation of nicotine in vaping products can help inform product standards related to the safety, quality and utility of vaping products as a smoking cessation tool.
| S-EPMC10144332 | biostudies-literature
Project description:Two healthy iPSC lines (78 and 273) were differentiated into ECs. iPSC-ECs were then treated with e-cig liquids RY4 (RY) or Marcado (MAR) with 18mg/ml of nicotine (18) and without nicotine (0).
2020-08-11 | GSE125217 | GEO
Project description:Currently, there is a lack of comprehensive data on the diversity of chemicals present in vaping liquids. To address this gap, a non-targeted analysis of 825 vaping liquids collected between 2017 and 2019 from Canadian retailers was conducted. Prior to mass spectrometry analysis, samples were diluted 1:500 v/v with methanol or acetonitrile. Chemical compound separation and analysis was carried out using gas chromatography and triple quadrupole mass spectrometry (GC-MS/MS) systems operated in the full scan mode and mass range of 35-450 m/z. Mass spectrum for each sample was obtained in electron ionization at 70 eV and processed. Non-targeted identification workflow included use of automated mass spectral deconvolution and identification system (AMDIS), where required, as well as a number of commercially available spectral libraries. In order to validate identities, an in-house database of expected compounds previously detected in vaping liquids was used along with genuine analytical standards for compounds of interest. This resulted in a dataset of over 1,500 unique detected chemicals. Approximately half of these chemical compounds were detected only once in a single product and not in multiple products analyzed. For any sample analyzed, on average, 40% of the chemical constituents appeared to have flavouring properties. The remainder were nicotine and related alkaloids, processing, degradation or indirect additives, natural extractives and compounds with unknown roles. Data published here from the project on the Open Characterization of vaping liquids is unique as it offers a detailed understanding of products' flavour chemical profiles, the presence and frequency of chemicals of potential health concern, as well as trends and changes in products' chemical complexity over a three-year period. Non-targeted chemical surveillance such as this present valuable tools to public health officials and researchers in responding to emergent issues such as vaping associated lung injury or informing chemical based strategies which may be aimed at addressing product safety or appeal.
| S-EPMC8551961 | biostudies-literature
Project description:BackgroundDespite copious information on the hazards of nicotine and cannabis, many adolescents report vaping nicotine and cannabis. To advance knowledge on the precursors of vaping behaviors, this study examined the association of behavioral inhibition system (BIS) and behavioral activation system (BAS) sensitivities with nicotine and cannabis vaping among adolescents.MethodsData were part of a longitudinal survey on substance use and mental health among adolescents and included 2,467 11th grade students from 10 public high schools in California. Participants completed a 20-item scale assessing BIS (one aspect) and BAS (three aspects: drive, fun-seeking, reward responsiveness) sensitivities at baseline and reported their past 30-day nicotine and cannabis vaping at baseline and again at 6-month follow-up. Unadjusted and adjusted (controlled for demographic characteristics and product-specific baseline vaping) regression models estimated vaping risk at follow-up by BIS/BAS scores at baseline.ResultsBivariate analyses showed participants who vaped nicotine had significantly higher drive and fun-seeking scores (p < 0.05); and cannabis vapers had lower BIS and reward responsiveness scores (p < 0.05) compared to non-users. Higher fun seeking scores was associated with increased odds (OR = 1.15, 95 %CI = 1.03-1.29) of nicotine vaping and higher reward responsiveness scores reduced odds (OR = 0.89, 95 %CI = 0.79-0.99) of nicotine vaping. Higher scores on BIS was associated with decreased the odds (OR = 0.91, 95 %CI = 0.84-0.99) of cannabis vaping.ConclusionDifferent behavioral motivations should be targeted when developing interventions designed to reduce nicotine and cannabis vaping among diverse adolescents.
| S-EPMC10064800 | biostudies-literature
Project description:IntroductionNicotine and marijuana vaping among U.S. adolescents are public health priorities. Research has assessed the demographic and risk factors related to vaping, but there is a dearth of research on protective factors for vaping. On the basis of the healthy youth development perspective, the developmental assets framework is used to assess cumulative protective factors and vaping in a national sample of adolescents.MethodsData came from the nationally representative Monitoring the Future study, consisting of 12th graders (n=6,982) from the 48 contiguous U.S. states (2017-2019). Past 30-day nicotine and marijuana vaping and developmental assets (low, medium, or high) were examined. Covariates included demographics and other substance use. Weighted descriptive statistics, logistic regression, postestimation analyses, and multiple imputation were used.ResultsStudents with higher assets were less likely to vape nicotine and marijuana, even after adjusting for covariates. The odds of nicotine vaping were lower for students with medium assets (AOR=0.65, 95% CI=0.54, 0.78) and high assets (AOR=0.22, 95% CI=0.16, 0.29) than for students with low assets. Similarly, the odds of marijuana vaping were lower for youth with medium assets (AOR=0.54, 95% CI=0.42, 0.69) and high assets (AOR=0.09, 95% CI=0.05, 0.18) than for those with low assets. Social competence and positive peer norms were strongly protective against both forms of vaping.ConclusionsThe healthy youth development perspective applies to the critical issues of nicotine and marijuana vaping among adolescents. Promoting cumulative assets may help to prevent vaping among U.S. adolescents, and increasing the specific assets of social competence and positive peer norms could be particularly fruitful.
| S-EPMC8863626 | biostudies-literature
Project description:IntroductionThis study seeks to identify adolescent nicotine and cannabis vaping patterns and the characteristics of those adolescents who comprised each pattern.MethodsThis prospective longitudinal survey study measured the relationship between nicotine and cannabis vaping among 1,835 adolescents from 4 public high schools outside of Philadelphia, Pennsylvania. Adolescents completed in-classroom surveys, including questions of lifetime and past 30-day nicotine and cannabis vaping, at Wave 1 (fall 2016, ninth grade) and 6-month intervals for the following 36 months (fall 2019, 12th grade). Data were analyzed in 2021.ResultsA sequential processes growth mixture model revealed 4 latent conjoint classes of nicotine and cannabis vaping: early, declining dual use (Class 1: n=259); rapidly increasing dual use (Class 2: n=128); later, slower dual use (Class 3: n=313); and no use (Class 4: n=1,136). Increased odds of belonging to Class 1 and Class 2 versus belonging to Class 4 were significantly associated with cigarette smoking (OR=3.71, OR=2.21), alcohol use (OR=2.55, OR=4.39), peer vaping (OR=1.24, OR=1.20), sensation seeking (OR=1.03, OR=1.11), positive E-cigarette expectations (OR=1.21, OR=1.17), and cigar smoking (OR=2.39 Class 2 only). Increased odds of belonging to Class 3 versus Class 4 were significantly associated with alcohol use (OR=1.66), perceived benefits of E-cigarette use (OR=1.03), positive E-cigarette expectations (OR=1.08), depressive symptoms (OR=1.02), and sensation seeking (OR=1.03).ConclusionsFrom middle to late adolescence, vaping of nicotine and cannabis develop in close parallel. Regulatory policy and prevention interventions should consider the interplay between these 2 substances during this period of adolescence.
| S-EPMC9232951 | biostudies-literature
Project description:AIMS:To examine whether norms towards nicotine vaping product (NVP) use varied between Australia, Canada, England and the United States and by socio-demographics, smoking and NVP status. DESIGN:Cross-sectional data from the 2016 ITC Four Country Smoking and Vaping Survey. SETTING:Four countries with distinct regulatory policies relating to the sale and advertising of NVPs: Australia (most restrictive), Canada (restrictive), England and the United States (least restrictive). PARTICIPANTS:A total of 10900 adult (age 18+) current smokers, former smokers, or at least weekly NVP users. Respondents were from Australia (n = 1366), Canada (n = 3309), England (n = 3835) and the United States (n = 2390). MEASUREMENTS:Questions permitted the categorization of respondents as current smokers, former smokers, NVP users and socio-demographic categories (sex, age, country, ethnicity, income and education). Further questions were asked regarding the frequency of exposure to NVPs in public, whether they had a partner or close friends who vaped and whether they believed society or those considered important to them approved of NVPs. FINDINGS:Adjusting for relevant covariates, compared with Australian respondents, those in England, Canada and the United States were more likely to report frequent exposure to NVPs in public (83.1%, 57.3% and 48.3%, respectively, compared to 19.8% in Australia; P < 0.0001), having a partner who vaped (13.8%, 7.1% and 7.7%, respectively, compared to 2.1% in Australia; P < 0.0001) and having close friend(s) who vaped (31.7%, 25.3%, 20.9%, respectively, compared to 10.0% in Australia; P < 0.0001). Compared with Australian respondents, respondents from England were more likely to report that society (27.6% compared to 12.3% in Australia; P < 0.0001) and people important to them approved of NVP use (28.9% compared to 14.3% in Australia; P < 0.0001). CONCLUSIONS:Norms towards nicotine vaping product (NVP) use appear to vary among countries with different regulatory contexts regarding sales and advertising.
| S-EPMC7010266 | biostudies-literature
Project description:RationaleDespite high prevalence of e-cigarette use (vaping), little is currently known regarding the health effects of secondhand nicotine vape exposure.ObjectiveTo investigate whether exposure to secondhand nicotine vape exposure is associated with adverse respiratory health symptoms among young adults.MethodWe investigated the effect of secondhand nicotine vape exposure on annually reported wheeze, bronchitic symptoms and shortness of breath in the prospective Southern California Children Health Study cohort. Data were collected from study participants (n=2097) with repeated annual surveys from 2014 (average age: 17.3 years) to 2019 (average age: 21.9). We used mixed effect logistic regression to evaluate the association between secondhand nicotine vape and respiratory symptoms after controlling for relevant confounders.ResultsPrevalence of secondhand nicotine vape increased from 11.7% to 15.6% during the study period in this population. Prevalence of wheeze, bronchitic symptoms and shortness of breath ranged from 12.3% to 14.9%, 19.4% to 26.0% and 16.5% to 18.1%, respectively, during the study period. Associations of secondhand nicotine vape exposure with bronchitic symptoms (OR 1.40, 95% CI 1.06 to 1.84) and shortness of breath (OR 1.53, 95% CI 1.06 to 2.21) were observed after controlling for vaping, active and passive exposure to tobacco or cannabis, and demographic characteristics (age, gender, race/ethnicity and parental education). Stronger associations were observed when analysis was restricted to participants who were neither smokers nor vapers. There were no associations with wheezing after adjustment for confounders.ConclusionSecondhand nicotine vape exposure was associated with increased risk of bronchitic symptoms and shortness of breath among young adults.
| S-EPMC9203939 | biostudies-literature
Project description: Not available
| S-EPMC7310988 | biostudies-literature
Project description:It has been demonstrated that propylene glycol (PG), vegetable glycerin (VG), and flavoring chemicals can thermally degrade to form carbonyls during vaping, but less is known about carbonyl emissions produced by transformation of flavoring chemicals and the interactive effects among e-liquid constituents. This study characterized carbonyl composition and levels in vaping emissions of PG-VG (e-liquid base solvents) and four e-liquid formulations flavored with trans-2-hexenol, benzyl alcohol, l-(-)-menthol, or linalool. Utilizing gas chromatography (GC)- and liquid chromatography (LC)-mass spectrometry (MS) methods, 14 carbonyls were identified and quantified. PG-VG emitted highest levels of formaldehyde, acetaldehyde, and acrolein. However, flavored e-liquids contributed to the production of a wider variety of carbonyls, with some carbonyls directly corresponding to the oxidation of alcohol moieties in flavoring compounds (e.g., trans-2-hexenol and benzyl alcohol transformed into trans-2-hexenal and benzaldehyde, respectively). Detections of formaldehyde-GSH and trans-2-hexenal-GSH adducts signify interactions of carbonyls with biological nucleophiles. The global reactivity descriptors (I, A, μ, η, and ω) and condensed Fukui parameters (fk0, fk-, fk+, and dual-descriptor) were computed to elucidate site reactivities of selected simple and α,β-unsaturated carbonyls found in vaping emissions. Overall, this study highlights carbonyl emissions and reactivities and their potential health risk effects associated with vaping.
| S-EPMC8705255 | biostudies-literature