LC–MS Validates ML Models for Vaping Nicotine - NewsBreak
Researchers used LC-MS to validate machine learning models that predict nicotine exposure from vaping patterns.Summary
Researchers at Florida International University have developed machine learning (ML) models designed to predict both the nicotine emitted by e-cigarettes and the amount absorbed into a user's bloodstream. The models utilize various data points, including puffing patterns (intensity, duration, and frequency), user and device characteristics, and e-liquid consumption.
To validate these models, the study utilized 259 measurements from vapers aged 21 to 35. The methodology involved recording natural puffing behaviors, which were then replicated by a "puffing robot" in a laboratory setting to precisely measure nicotine emission. Plasma nicotine levels were accurately determined using liquid chromatography–mass spectrometry (LC–MS). This research has been published in Scientific Reports.
(Source：Newsbreak)
