Electronic Cigarette Refill Liquids: Nicotine Content, Presence of Child-Resistant Packaging, and in-Shop Compounding.

PURPOSE: To expand on our 2015 study of the nicotine content accuracy of e-liquids, including salts, and the presence of child-resistant packaging. We also describe compounding in shop (CIS). DESIGN AND METHODS: We analyzed samples from 35 shops. CIS processing was observed. Descriptive statistics summarized the data, and inference was performed. RESULTS: Actual nicotine content was significantly less than the identified content, on average, with a mean percent deviation 34.0% below the identified content. Only 3.8% of the samples' actual nicotine content was within 10% of the identified content; the maximum deviation was 213.2%. Of eight uniquely packaged samples, including designs resembling pop cans, ice cream cones, etc., the mean percent deviation was -39.6%; none were within 10% of the identified content. Eight shops compounded samples. After removing outlier values, significant differences were found in the percent deviations between the CIS and non-CIS free-base samples. A significantly higher percentage of CIS samples had nicotine content > 10% above the identified content, and none were within 10%. One shop visually estimated the nicotine quantities to add, e-liquids were not always relabeled to reflect new nicotine levels, and protective materials were not always worn during compounding. Child-resistant packaging was not present for one third of the samples. CONCLUSIONS: Labeling of nicotine content in e-liquids remains inaccurate, child-resistant packaging is inconsistent, and CIS is problematic. Effective e-liquid regulation is needed to protect public health. PRACTICE IMPLICATIONS: Nurses should educate families about the serious health risks of e-liquids and advocate for increased e-liquid regulations.

Compliance with North Dakota's smoke-free law among vape and tobacco specialty shops.

OBJECTIVE: To determine compliance with North Dakota's smoke-free law in vape shops and other tobacco specialty shops selling electronic nicotine delivery systems (ENDS) or e-liquids. DESIGN: In this 2019 descriptive study, shops (n = 35) were assessed for compliance with the smoke-free law by observation of indoor and outdoor areas for smoking or vaping, or evidence of such activity in prohibited areas, and the presence of required no-smoking signs. RESULTS: Only two shops (5.7%) were fully compliant with the smoke-free law. Full compliance for indoor and outdoor environments was 8.5% and 42.8%, respectively. Vaping occurred inside five shops (14.3%), and smoking occurred outdoors within required smoke-free areas in two (5.7%) shops. Four (11.4%) and 17 (48.6%) shops complied with indoor and outdoor signage requirements, respectively. CONCLUSIONS: Overall compliance remained low, although much of the noncompliance was related to signage. Use or evidence of ENDS use occurred both indoors and outdoors where prohibited by law. Classifying ENDS as tobacco products would require tobacco licensure of shops selling ENDS and e-liquids, aiding in identification of the shops for education and enforcement efforts to ensure compliance with the law and to improve public health protection.

Combinatorial materials research applied to the development of new surface coatings VII: an automated system for adhesion testing.

An automated, high-throughput adhesion workflow that enables pseudobarnacle adhesion and coating/substrate adhesion to be measured on coating patches arranged in an array format on 4x8 in.(2) panels was developed. The adhesion workflow consists of the following process steps: (1) application of an adhesive to the coating array; (2) insertion of panels into a clamping device; (3) insertion of aluminum studs into the clamping device and onto coating surfaces, aligned with the adhesive; (4) curing of the adhesive; and (5) automated removal of the aluminum studs. Validation experiments comparing data generated using the automated, high-throughput workflow to data obtained using conventional, manual methods showed that the automated system allows for accurate ranking of relative coating adhesion performance.