Radon emanation from human hair
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Updated: Jan 30, 2026

Extraction and Analysis of Cortisol from Human and Monkey Hair
Published on: January 24, 2014
Frédéric Girault1, Frédéric Perrier1
1Physics of Natural Sites, Institut de Physique du Globe de Paris, Sorbonne Paris Cité, University Paris Diderot, CNRS UMR 7154, F-75005 Paris, France.
Abstract:
Bio-indicator of long time exposure to pollutants, human hair is studied in contaminated areas. The number of studies on background environments remains small, and factors impacting human hair radioactivity in contaminated and background areas remain poorly known. Radon-222, a radioactive noble gas of half-life 3.8 days, is the alpha decay daughter of radium-226 in the uranium-238 chain. Radon emission depends on radium concentration (CRa) and probability of decaying radium to liberate radon (i.e., the emanation coefficient E). The radon-222 emanating power (i.e., radon emanation or effective radium-226 concentration, ECRa) is measured in the laboratory from human hair of a cohort of 93 individuals living in uranium non-contaminated areas using a high-sensitivity method based on 371 long accumulation sessions. E of human hair is also determined. ECRa values from human hair are heterogeneous, ranging from 0.059 ± 0.008 to 3.7 ± 0.1 Bq kg-1 (mean: 0.484 ± 0.006 Bq kg-1). We find 2.6 ± 0.1 and 2.5 ± 0.1 times larger values for females than males and for color-treated than natural hair, respectively. By contrast, E is homogeneous (mean: 0.33 ± 0.11; n = 9). Our data suggest a different behavior of accumulation/elimination processes of heavy elements in females and non-negligible radium concentration in hair dye products. Our results demonstrate 226Ra-238U disequilibrium in human hair, indicating secondary radium intake, and that ECRa mainly depends on CRa. Other factors such as age and sampling time are also studied. The impact of factors on ECRa from human hair in uranium non-contaminated areas is ordered as follows: (body site?) > sex > hair dyeing > dietary/drinking habits > natural color > time period > geographical location > age. Any human hair-based study should take into consideration these factors. Our method, cost-effective and easy to implement, may be applied to large numbers of samples for large-scale epidemiological studies, and may also be useful for criminal investigations.
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