Influence of Nitrite on Formation of Tobacco-Specific Nitrosamines in Electronic Cigarette Liquids and Aerosols.

Tobacco-specific nitrosamine (TSNA) formation occurred during aerosol generation from select commercial cig-a-like e-cigarette products. To understand the drivers behind the potential formation of TSNAs in electronic cigarette (e-cigarette) aerosols and e-liquids, model e-liquid systems were generated in the lab to demonstrate that nitrite can react with nicotine and minor alkaloids to form TSNAs in e-liquids. In the presence of nitrite and nicotine, TSNA levels in e-liquids increased over time and the process was accelerated by elevated temperature. Additionally, TSNAs formed during aerosol generation when nitrite was present in the corresponding e-liquids. The commercial e-cigarette products that showed higher levels and formation of TSNAs were observed to contain nitrite and minor alkaloid impurities in the corresponding e-liquids. This study provides valuable information about drivers for TSNA formation in e-liquids and e-cigarette aerosols that may be applied to the evaluation and quality assurance of e-cigarette products.

Formation of Diacetyl and Other α-Dicarbonyl Compounds during the Generation of E-Vapor Product Aerosols.

Exposure to diacetyl (DA) has been linked to the respiratory condition bronchiolitis obliterans. Previous research has demonstrated that DA and other α-dicarbonyl compounds can be detected in both the e-liquids and aerosols of e-vapor products (EVPs). While some EVP manufacturers may add these compounds as flavor ingredients, the primary objective of this work was to determine the potential for the formation of α-dicarbonyl compounds during the generation of aerosols from EVPs where no DA or other α-dicarbonyl compounds are added to the e-liquid. A novel ultraperformance liquid chromatography-mass spectrometry-based analytical method for the determination of DA, acetyl propionyl, glyoxal, and methylglyoxal was developed and validated. Next, eight commercially available cig-a-like-type EVPs were evaluated for α-dicarbonyl formation. Increased levels of α-dicarbonyls were observed in the aerosols of all evaluated EVPs compared to their respective e-liquids. Mechanistic studies were conducted using a model microwave reaction system to identify key reaction precursors for DA generated from propylene glycol (PG) and carbon-13-labeled glycerin (GLY). These studies, along with the corresponding retrosynthetic analysis, resulted in the proposed formation pathway where hydroxyacetone is generated from PG and/or GLY. Hydroxyacetone then participates in an aldol condensation with formaldehyde where formaldehyde can also be generated from PG and/or GLY; the resultant product then dehydrates to form DA. This proposed pathway was further investigated through in situ synthetic organic experiments within the model microwave reaction system. This work establishes that DA is formed in the aerosol generation process of the EVPs tested though at levels below toxicological concern.

An evaluation of electronic cigarette formulations and aerosols for harmful and potentially harmful constituents (HPHCs) typically derived from combustion.

U.S. FDA draft guidance recommends reporting quantities of designated harmful and potentially harmful constituents (HPHCs) in e-cigarette e-liquids and aerosols. The HPHC list comprises potential matrix-related compounds, flavors, nicotine, tobacco-related impurities, leachables, thermal degradation products, and combustion-related compounds. E-cigarettes contain trace levels of many of these constituents due to tobacco-derived nicotine and thermal degradation. However, combustion-related HPHCs are not likely to be found due to the relatively low operating temperatures of most e-cigarettes. The purpose of this work was to use highly sensitive, selective, and validated analytical methods to determine if these combustion-related HPHCs (three aromatic amines, five volatile organic compounds, and the polycyclic aromatic hydrocarbon benzo[a]pyrene) are detectable in commercial refill e-liquids, reference e-cigarette e-liquids, and aerosols generated from rechargeable e-cigarettes with disposable cartridges (often referred to as "cig-a-likes"). In addition, the transfer efficiency of these constituents from e-liquid to aerosol was evaluated when these HPHCs were added to the e-liquids prior to aerosol formation. This work demonstrates that combustion-related HPHCs are not present at measurable levels in the commercial and reference e-liquids or e-cigarette aerosols tested. Additionally, when combustion-related HPHCs are added to the e-liquids, they transfer to the aerosol with transfer efficiencies ranging from 49% to 99%.

Preferences and decision needs of Boston-area travelers to countries with risk of Yellow fever virus transmission: implications for health care providers.

BACKGROUND: Yellow fever (YF), a potentially fatal mosquito-borne infection, is preventable with a live-attenuated vaccine, rarely associated with severe adverse events. We surveyed travelers to assess their reasons for pre-travel medical consultation, information they considered important regarding YF disease and vaccination, whether they recalled receiving this information, and whether they were involved in vaccine decision-making. METHODS: Travelers aged 18 years and older were surveyed at three Boston-area travel clinics. Only those making YF vaccination decisions were included for analyses. RESULTS: Of 831 travelers surveyed, 589 (70%) indicated making a YF vaccination decision. Travel medicine providers recommended YF vaccination to 537 (91%) of 589 travelers; 92% of these 537 received vaccine. Among 101 travelers aged 60 years and older, 9% declined the vaccine; among those younger than 60 years, 4% declined the vaccine (p = 0.06). Of 589 travelers, most agreed they needed to understand destination-specific YF risks (82%) and vaccine risks (88%), and were involved in YF vaccine decisions (87%). Less than half recalled discussing their concerns about YF vaccine with the provider (42%) or what risks and benefits mattered most to them (32%). CONCLUSION: Most participants sought YF disease and vaccine risk information and wanted to be involved in decision-making; however, fewer than half recalled discussing their opinions or concerns about YF vaccine. Providers need effective risk communication skills and the ability to elicit and respond to travelers' concerns to help them make informed, shared decisions.

Dealing with uncertainty in ecosystem models: lessons from a complex salmon model.

Ecosystem models have been developed for assessment and management in a wide variety of environments. As model complexity increases, it becomes more difficult to trace how imperfect knowledge of internal model parameters, data inputs, or relationships among parameters might impact model results, affecting predictions and subsequent management decisions. Sensitivity analysis is an essential component of model evaluation, particularly when models are used to make management decisions. Results should be expressed as probabilities and should realistically account for uncertainty. When models are particularly complex, this can be difficult to do and to present in ways that do not obfuscate essential results. We conducted a sensitivity analysis of the Ecosystem Diagnosis and Treatment (EDT) model, which predicts salmon productivity and capacity as a function of ecosystem conditions. We used a novel "structured sensitivity analysis" approach that is particularly useful for very complex models or those with an abundance of interconnected parameters. We identified small, medium, and large plausible ranges for both input data and model parameters. Using a Monte Carlo approach, we explored the variation in output, prediction intervals, and sensitivity indices, given these plausible input distributions. The analyses indicated that, as a consequence of internal parameter uncertainty, EDT productivity and capacity predictions lack the precision needed for many management applications. However, EDT prioritization of reaches for preservation or restoration was more robust to given input uncertainties, indicating that EDT may be more useful as a relative measure of fish performance than as an absolute measure. Like all large models, if EDT output is to be used as input to other models or management tools it is important to explicitly incorporate the uncertainty and sensitivity analyses into such secondary analyses. Sensitivity analyses should become standard operating procedure for evaluation of ecosystem models.