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流量对第三代亚欧姆罐式电子烟输送系统的影响——CORESTA 流量与更现实流量的比较。

The Effect of Flow Rate on a Third-Generation Sub-Ohm Tank Electronic Nicotine Delivery System-Comparison of CORESTA Flow Rates to More Realistic Flow Rates.

机构信息

Department of Occupational and Environmental Health, Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.

Department of Otolaryngology, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.

出版信息

Int J Environ Res Public Health. 2021 Jul 15;18(14):7535. doi: 10.3390/ijerph18147535.

DOI:10.3390/ijerph18147535
PMID:34299985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8307737/
Abstract

Many types of electronic cigarettes (ECs) are currently in use, but the default flow rate used to simulate puffing is centered on tobacco cigarette flow rates. CORESTA offers several methods and technical guides for evaluation of ECs but there are few puffing topography studies focusing on sub-ohm ECs; differences between real-world usage and that found in the literature appear large. This study focuses on how power and flow rate affect the nicotine yield of a sub-ohm EC. A puffing system (Puff3rd) has been designed and used to produce and collect EC aerosol. Nicotine yield was measured by GC-MS at three power levels and four flow rates. Data analysis was conducted in SAS using the MIXED procedure. Power, flow rate, and their interaction were all significant predictors of nicotine yield. Nicotine yield increased with both the vaping power and the puff flow rate with significant interaction of the two. Findings indicate that using the current CORESTA flow rate (1100 mL/min) to evaluate third-generation ECs underestimates nicotine yield and likely overestimates pyrolysis products. Real users are expected to have 2-3× the nicotine dose measured at 1100 mL/min, which could confound epidemiological studies seeking to link nicotine delivery to product satisfaction and acceptability.

摘要

目前有多种类型的电子烟(ECs)在使用,但模拟吸烟的默认流量速率通常是以传统烟草香烟的流量速率为中心的。CORESTA 提供了几种评估 ECs 的方法和技术指南,但针对亚欧姆 ECs 的吸烟模式研究较少;实际使用情况与文献中发现的情况之间似乎存在很大差异。本研究重点关注功率和流量速率如何影响亚欧姆 EC 的尼古丁产量。设计并使用了一种吸烟系统(Puff3rd)来产生和收集 EC 气溶胶。通过 GC-MS 在三个功率水平和四个流量速率下测量尼古丁产量。使用 SAS 中的 MIXED 过程进行数据分析。功率、流量速率及其相互作用都是尼古丁产量的重要预测因子。尼古丁产量随着电子烟的功率和吸烟流量速率的增加而增加,两者之间存在显著的相互作用。研究结果表明,使用当前 CORESTA 流量速率(1100mL/min)来评估第三代 ECs 会低估尼古丁产量,并可能高估热解产物。实际使用者预计会有 2-3 倍于 1100mL/min 测量的尼古丁剂量,这可能会使试图将尼古丁输送与产品满意度和可接受性联系起来的流行病学研究产生混淆。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970e/8307737/bea92525581f/ijerph-18-07535-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970e/8307737/77b2782196d9/ijerph-18-07535-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970e/8307737/206c90a95ab3/ijerph-18-07535-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970e/8307737/d09fd3236f44/ijerph-18-07535-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970e/8307737/2cdbb34e8a0d/ijerph-18-07535-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970e/8307737/bea92525581f/ijerph-18-07535-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970e/8307737/77b2782196d9/ijerph-18-07535-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970e/8307737/206c90a95ab3/ijerph-18-07535-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970e/8307737/d09fd3236f44/ijerph-18-07535-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970e/8307737/2cdbb34e8a0d/ijerph-18-07535-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970e/8307737/bea92525581f/ijerph-18-07535-g005.jpg

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