Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2008
[Detecting nicotine and its metabolite cotinine in human hair with capillary gas chromatography].
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Gu Su-ying, Li Yuan-qian, Liu Chi-qing, Yang Xiao-qi, Li Lei, Ma Shao-jun, Yang Gong-huan
Аннотация
OBJECTIVE: To develop a rapid method for determination of nicotine and its metabolite cotinine in human hair with capillary gas chromatography with flame ionization detector.
METHODS: The hair sample was digested by 1.5 mol/L sodium hydroxide solution. The nicotine and cotinine in the hair sample were extracted with a mixed solvent of dichloromethane-methanol (3:1). Aliquot of the extraction solution was vaporized with nitrogen flow and then methanol was added to dissolve the analysts. The analysts were tested with capillary gas chromatography.
RESULTS: The detection limits (signal to noise ratio of 3:1) were 4.3 ng/mL for nicotine and 10 ng/mL for cotinine, respectively. The spiked recoveries were 90.33%-113.1% for nicotine with relative standard deviation (RSD) of 2.1%-7.0% and 92.92%-117.4% for cotinine with relative standard deviation (RSD) of 4.4%-8.9%, respectively.
CONCLUSION: The proposed method is sensitive, simple, easy and rapid. It can be easily extended to large scale applications in tobacco epidemiology studies.
METHODS: The hair sample was digested by 1.5 mol/L sodium hydroxide solution. The nicotine and cotinine in the hair sample were extracted with a mixed solvent of dichloromethane-methanol (3:1). Aliquot of the extraction solution was vaporized with nitrogen flow and then methanol was added to dissolve the analysts. The analysts were tested with capillary gas chromatography.
RESULTS: The detection limits (signal to noise ratio of 3:1) were 4.3 ng/mL for nicotine and 10 ng/mL for cotinine, respectively. The spiked recoveries were 90.33%-113.1% for nicotine with relative standard deviation (RSD) of 2.1%-7.0% and 92.92%-117.4% for cotinine with relative standard deviation (RSD) of 4.4%-8.9%, respectively.
CONCLUSION: The proposed method is sensitive, simple, easy and rapid. It can be easily extended to large scale applications in tobacco epidemiology studies.