1.Determination of volatile nitrosamines in urine through gas chromatography-mass spectrometry.
Run-zheng GUO ; Yan-jian WAN ; Chun-jiang WU ; Yan ZHANG ; Qi-hui HUANG ; Hai-xia LI ; Xu WANG ; Zhong-hou CAO ; Yu-hua MAO ; Jie SHEN ; Wei XIA ; Yuan-yuan LI ; Shun-qing XU
Chinese Journal of Preventive Medicine 2013;47(3):270-273
OBJECTIVETo establish a detection method based on gas chromatography-mass spectrometry (GC-MS) for concentrations of volatile nitrosamine compounds in urine, and apply it to the test of real samples.
METHODSTarget compounds dichloromethane in urine samples was extracted with dichloromethane through liquid-liquid extraction, then the dichloromethane extract was filtrated, evaporated with nitrogen at 40°C to dryness, and the volume was set with 0.2 ml dichloromethane. Analysis of nine volatile nitroso-compounds were performed with GC-MS under selected ion monitoring mode, external reference method was used for quantification, and the detection limit, repeatability and sensitivity were evaluated. In addition, nine volatile nitroso-compounds of 92 urine samples in a town of Anhui province were measured.
RESULTSA good linear range of 2 - 200 ng/ml (with correlation coefficient 0.9985 - 0.9999) were obtained for the above mentioned nine kinds of analyte, and the lowest examination concentration was 0.05 - 0.50 ng/ml. The addition standard recoveries were 68%-102% with the RSD of 0.4% - 5.5% (n = 3). The detection limits were 0.001 - 0.013 ng/ml urine. The detection rate of N-nitrosodimethylamine (NDMA), N-nitrosomethylethylamine (NMEA), N-nitrosodiethylamine (NDEA), N-nitrosodi-n-propylamine (NDPA), N-nitrosopyrrolidine (NPYR), N-nitrosomorpholine (NMOR), N-nitrosopiperidine (NPIP), N-nitrosodi-n-butylamine (NDBA) and N-nitrosodiphenylamine (NDPhA) were 71% (65), 74% (68), 65% (60), 80% (73), 92% (85), 78% (72), 76% (70), 87% (80), 98% (90), respectively, with the results (0.27 ± 0.12), (0.75 ± 0.29), (0.06 ± 0.02), (0.16 ± 0.07), (23.66 ± 5.18), (1.01 ± 0.35), (0.38 ± 0.11), (2.47 ± 0.52) and (15.13 ± 3.48) nmol/g creatinine.
CONCLUSIONSA gas chromatography-mass spectrometry detect method was developed for low level volatile nitrosamines in urine samples.
Gas Chromatography-Mass Spectrometry ; Humans ; Nitrosamines ; urine ; Urinalysis ; methods ; Volatile Organic Compounds ; urine
2.The Effects of Wearing Protective Devices among Residents and Volunteers Participating in the Cleanup of the Hebei Spirit Oil Spill.
Seung Min LEE ; Mina HA ; Eun Jung KIM ; Woo Chul JEONG ; Jongil HUR ; Seok Gun PARK ; Hojang KWON ; Yun Chul HONG ; Eun Hee HA ; Jong Seung LEE ; Bong Chul CHUNG ; Jeongae LEE ; Hosub IM ; Yeyong CHOI ; Yong Min CHO ; Hae Kwan CHEONG
Journal of Preventive Medicine and Public Health 2009;42(2):89-95
OBJECTIVES: To assess the protective effects of wearing protective devices among the residents and volunteers who participated in the cleanup of the Hebei Spirit oil spill. METHODS: A total of 288 residents and 724 volunteers were surveyed about symptoms, whether they were wearing protective devices and potential confounding variables. The questionnaires were administered from the second to the sixth week following the accident. Spot urine samples were collected and analyzed for metabolites of 4 volatile organic compounds (VOCs), 2 polycyclic aromatic hydrocarbons (PAHs), and 6 heavy metals. The association between the wearing of protective devices and various symptoms was assessed using a multiple logistic regression adjusted for confounding variables. A multiple generalized linear regression model adjusted for the covariates was used to test for a difference in least-square mean concentration of urinary biomarkers between residents who wore protective devices and those who did not. RESULTS: Thirty nine to 98% of the residents and 62-98% of volunteers wore protective devices. Levels of fatigue and fever were higher among residents not wearing masks than among those who did wear masks (odds ratio 4.5; 95% confidence interval 1.23-19.86). Urinary mercury levels were found to be significantly higher among residents not wearing work clothes or boots (p<0.05). CONCLUSIONS: Because the survey was not performed during the initial high-exposure period, no significant difference was found in metabolite levels between people who wore protective devices and those who did not, except for mercury, whose biological half-life is more than 6 weeks.
Adult
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Aged
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Biological Markers/urine
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*Disasters
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Environmental Exposure/*prevention & control
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Environmental Pollutants/*urine
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Female
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Gloves, Protective
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Humans
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Male
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Masks
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Metals, Heavy/urine
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Middle Aged
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Oceans and Seas
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*Petroleum
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Polycyclic Hydrocarbons, Aromatic/urine
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Protective Clothing
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*Protective Devices
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Respiratory Protective Devices
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Shoes
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Volatile Organic Compounds/urine
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Voluntary Workers