In this pilot study, we examined the validity and usefulness of hair nicotine-cotinine evaluation as a biomarker of monitoring exposure to tobacco. Head hair samples were collected from 22 infants (<2 years of age) and 44 adults with different exposures to tobacco (through either active or passive smoking) and analyzed by liquid chromatography-mass spectrometry (LC-MS) for nicotine and cotinine. Hair samples were divided into three groups, infants, passive smoker adults and active smoker adults, and into eight subgroups according to the degree of exposure. The limit of quantification (LOQ) was 0.1 ng/mg for nicotine and 0.05 ng/mg for cotinine. Mean recovery was 69.15% for nicotine and 72.08% for cotinine. The within- and between-day precision for cotinine and nicotine was calculated at different concentrations. Moreover, hair nicotine and cotinine concentrations were highly correlated among adult active smokers (R (2) = 0.710, p < 0.001), among adult nonsmokers exposed to secondhand smoke (SHS; R (2) = 0.729, p < 0.001) and among infants (R (2) = 0.538, p = 0.01). Among the infants exposed to SHS from both parents the noted correlations were even stronger (R (2) = 0.835, p = 0.02). The above results identify the use of hair samples as an effective method for assessing exposure to tobacco, with a high association between nicotine and cotinine especially among infants heavily exposed to SHS.

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HighlightsParticle size distribution is divided in two groups, particles sized under 50 μm and particles within the range of 100–1000 μm.Soot particles are represented by amorphous carbon, while in 5% of cases structured carbon particles is found.According to RAMAN spectra, large particles are carbon agglomerates of irregular form.Samples contained metals hazardous to organisms such as Al, Cd, Cr, Cu, Fe, Mg, Ni, Pb and Zn.Buses running on diesel fuel are the source of emission of predominantly large particles.

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