Tue, 5/21: 4:30 PM - 5:30 PM EDT
Education Session
Greater Columbus Convention Center
Room: A 125
CM Credit Hours: 1
This education session will describe the development of an easy-to-use sampling and analysis method for environmental nicotine resulting from electronic cigarette (EC) emissions. To quantify the nicotine, three analytical methods (i.e., UV-visible spectrophotometry (UV-vis), ion chromatography (IC) and gas chromatography mass spectrometry (GCMS) were evaluated. Environmental nicotine was captured as a salt on an acid treated filter. Two acid treatments (e.g., sodium bisulfate and citric acid) were compared in terms of recovery efficiency. The optimized methods were evaluated for suitability as a simplified nicotine analysis technique for EC generated nicotine. Nicotine desorption efficiencies of acid-treated glass fiber filters were determined at five nicotine masses ranging from 1 - 100 µg. The acid treatment with the highest mean desorption efficiency was further tested for sampling performance and long-term stability when used to capture nicotine from EC aerosols. Each optimized method was successful at detecting nicotine at equivalent or lower levels than the starting method. There were challenges with the UV-vis and IC methods but not the GCMS technique. The GCMS method had high desorption efficiency with sodium bisulfate but not citric acid. Nicotine was stable when captured with sodium bisulfate. When combined, sodium bisulfate-treated filters with GCMS analytical method is a simple and feasible approach for sampling and analysis of nicotine from EC emissions.
Upon completion, the participant will be able to:
• Apply knowledge gained to environmental nicotine sampling and analysis.
• Avoid pitfalls in sampling and analysis of e-cigarette emissions.
Content Level
Intermediate
Interactive Session Experience
Q&A
Organizational Category
Academia/Education
Primary Industry
All Industries
Laboratories
Wholesale & Retail
Topics
Also part of the Virtual Program
Available as part of AIHA CONNECT OnDemand
Sampling and Analysis