Journal
HARDWAREX
Volume 10, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.ohx.2021.e00225
Keywords
Vaping topography; Condensate collection; In vitro exposure; Chemical analysis; Open source; Standardised
Categories
Funding
- University of Auckland Faculty Research Development Fund (FRDF)
- Royal Society Te Aparangi Marsden Fund [20-UOA-146]
- Royal Society of New Zealand [20-UOA-146] Funding Source: Royal Society of New Zealand
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The use of electronic cigarettes (ECs) is widespread despite unknowns around their long-term health impact. ECAM is an open source, portable device for creating EC aerosol and conducting in vitro studies, developed as a low cost, automated, and customisable alternative to commercial devices.
The use of electronic cigarettes (ECs) has become widespread despite many unknowns around their long-term health impact. ECs work by vapourising a liquid, known as an eliquid, typically consisting of propylene glycol, glycerol, flavourings and nicotine. The chemical constituents and resultant impact on cells and tissue are dependent on several factors, including the flavourings used, the vaping topography/use pattern, and the device used. ECAM (Electronic Cigarette Aerosol Machine) is an open source, portable device for creating EC aerosol - for condensate collection and in vitro studies - using a controlled methodology. ECAM was developed as a low cost, automated, and customisable alternative to commercial devices. ECAM consists of a micro diaphragm gas pump to draw air/EC aerosol through the system. The device is automated using an Arduino and solenoid pinch valves are used to alternate between air and EC vapour. Condensate is collected in a vial within a cold-water bath. Each ECAM unit uses a temperature/humidity sensor to measure ambient air conditions and a differential pressure sensor to determine the pressure within the system. ECAM is programmed to adhere to International Standards Organisation 20768:2018. The design files, source code, and build instructions for this device can be found at https://dx.doi.org/10.17605/OSF.IO/3NGU4. (C) 2021 The Author(s). Published by Elsevier Ltd.
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