Simultaneous Analysis of Biomarkers in Human Hair for Evaluating Chronic Tobacco Smoke Exposure and Stress/Relaxation Using Online In-Tube Solid-Phase Microextraction Coupled with Liquid Chromatography–Tandem Mass Spectrometry
Hiroyuki Kataoka, Akiko Tsuzaki, Sae Kitagawa, Kentaro Ehara

TL;DR
A new method analyzes hair for biomarkers to assess long-term tobacco exposure and stress levels, offering a non-invasive way to study health risks.
Contribution
A sensitive and automated method for simultaneous analysis of nine biomarkers in hair to evaluate tobacco exposure and stress/relaxation.
Findings
The method achieved detection limits as low as 0.09 pg mL−1 for biomarkers in hair.
The automated method showed good precision and recovery rates for all nine biomarkers.
Hair analysis revealed a link between chronic tobacco smoke exposure and stress.
Abstract
Tobacco smoke exposure not only increases the risks of lung cancer and cardiovascular disease, but can be a stressor contributing to mental illness. It is important to clarify the relationship between chronic tobacco smoke exposure and mental stress from the perspective of disease prevention. We developed a simple and highly sensitive method for simultaneously analyzing nine biomarkers: nicotine and cotinine (tobacco smoke exposure markers); cortisol, testosterone, and dehydroepiandrosterone (stress-related markers); and serotonin, melatonin, dopamine, and oxytocin (relaxation-related markers). Biomarkers were extracted and concentrated by in-tube solid-phase microextraction with a Supel-Q PLOT capillary, followed by separation and detection within 7 min using liquid chromatography–tandem mass spectrometry on a Discovery HS F5 column. Calibration curves using stable isotope-labeled…
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Taxonomy
TopicsStress Responses and Cortisol · Hair Growth and Disorders · Effects and risks of endocrine disrupting chemicals
