Publications (14) View all
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Article: [Determination of gaseous nicotine in ambient air by high performance liquid chromatography].
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ABSTRACT: To establish the determination of gaseous nicotine in ambient air using high performance liquid chromatography. The nicotine samples of ambient air were collected by passive air samples. The Sample film was sonicated, extracted, evaporated with nitrogen sweeping, and dissolved with the mobile phase. Nicotine was separated by C18 reversed-phase column, examined by ultraviolet detector, quantified by peak area and qualitatively measured by its retentive time. The limit of detection and the limit of quantification is 30 ng/mL, 101 ng/mL, respectively. The precision is characterized by RSD in the rage 0.24% -2.62%. The average recovery of sample is in the rage of 82.0% -107.2%. The samples can be kept more than 11 days in the dry state of room temperature after sealing. The method is suitable for the determination of nicotine concentration in public places air.Wei sheng yan jiu = Journal of hygiene research 11/2012; 41(6):966-70. -
Article: Characteristics of ambient 1-min PM2.5 variation in Beijing
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ABSTRACT: One-minute PM2.5 concentration was obtained with LD-5C pocket microcomputer laser dust instrument from Dec. 15th, 2005 to Jan. 16th, 2006 and Mar. 17th to Apr. 28th, 2006 in Beijing. The concentration of SO2, NO2, O3, CO, and PM10 from Jan. 1st, 2001 to Dec. 31st, 2004 were obtained from the conversion of air pollution index. Results showed that all the pollutants showed cyclic characteristics. The longer yearly cycles was shown from SO2, NO2, O3, CO, and PM10, as the sampling time was 4-year long and daily collected. The shorter hourly and daily cycle was shown from 1-min PM2.5, as the sampling time was about 1-month long and one collected at 1min. The spectral density analysis confirmed this from the periodogram graphs. The longer yearly cycle (365, 180days), the seasonal cycle (120, 60–90days), and monthly cycle (21, 23, 27days) of SO2, NO2, CO, O3, and PM10 were obviously shown. In addition, the shorter weekly cycle of 5–7days is obviously shown, too. The shorter hourly cycle (8–12, 4–6, 3, 1–2h, 20min) of 1-min PM2.5 was also indicated from spectral density analysis. Two major factors contribute the 1-min PM2.5 cycles, i.e., the meteorological factors and source effects. Both the relative humidity and dew point showed consistent variation with PM2.5, but the wind speed showed inverse variations with PM2.5. Furthermore, the spectral density analysis of the meteorological factors (4–5, 2–2.5, 1–1.5days, 12, 6–8, 3h) may partially explain the cycles of PM2.5. As for the sources effects, it can be shown from the strong dust storm of April 16–18th, 2006. PM2.5 constantly increased tens and even hundreds of times high concentration within a few minutes due to the intensity of the dust sources. KeywordsOne–minute PM2.5 -Meteorological effects-Dust storm-CyclesEnvironmental Monitoring and Assessment 04/2012; 165(1):137-146. · 1.40 Impact Factor -
Article: [TRPV1 UTR-3 polymorphism and susceptibility of childhood asthma of the Han Nationality in Beijing].
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ABSTRACT: To explore TRPV1 UTR-3 polymorphism and susceptibility of childhood asthma of Han Nationality in Beijing. 177 asthmatics, 44 atopy, and 151 control children less than 14-years-old were enrolled in case-control study, and all subjects were investigated by ISSAC questionnaires. Dominant, recessive, co-dominant, over-dominant, and log additive model were used to do genotype analysis, and LD analysis and haplotypes of SNPs were tested by Haploview 4.1. Hardy-Weinberg equilibrium test, Person chis-square test, linkage disequilibrium analysis, and logistic analysis were performed by SAS 9.1 software to determine the association between polymorphisms of TRPV1 and susceptibility of childhood asthma. Polymorphisms were found in rs402369, rs4790521, and rs4790522, Hardy-Weinberg P > 0.05. As to allele frequencies, frequency of SNP rs4790521 T/C in asthmatics were significantly increased (P < 0.05), no significant difference were found in MAF of rs402369 and rs4790522 (P > 0.05). Genotype analysis showed that rs4790521 C/C and rs4790522 A/C were associated with childhood asthma (P < 0.05), and odd ratios were 2.94 (1.32 - 6.53) and 0.588 (0.376 - 0.920) respectively. LD were found between rs4790521 and rs4790522, 3 haplotypes were built. Adjusted by age, gender, parent asthma history, and smoking exposure, logistic stepwise analysis showed that MAF of rs4790521, allozygote C/C of rs4790521, and haplotype C/C were associated with susceptibility to childhood asthma in Chinese Han Nationality in Beijing (P < 0.05). TRPV1 UTR-3 polymorphisms could be associated with the susceptibility to childhood asthma of Han Nation a city in Beijing.Wei sheng yan jiu = Journal of hygiene research 09/2009; 38(5):516-21. -
Article: Characteristics of ambient 1-min PM 2.5 variation in Beijing.
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ABSTRACT: One-minute PM(2.5) concentration was obtained with LD-5C pocket microcomputer laser dust instrument from Dec. 15th, 2005 to Jan. 16th, 2006 and Mar. 17th to Apr. 28th, 2006 in Beijing. The concentration of SO(2), NO(2), O(3), CO, and PM(10) from Jan. 1st, 2001 to Dec. 31st, 2004 were obtained from the conversion of air pollution index. Results showed that all the pollutants showed cyclic characteristics. The longer yearly cycles was shown from SO(2), NO(2), O(3), CO, and PM(10), as the sampling time was 4-year long and daily collected. The shorter hourly and daily cycle was shown from 1-min PM(2.5), as the sampling time was about 1-month long and one collected at 1 min. The spectral density analysis confirmed this from the periodogram graphs. The longer yearly cycle (365, 180 days), the seasonal cycle (120, 60-90 days), and monthly cycle (21, 23, 27 days) of SO(2), NO(2), CO, O(3), and PM(10) were obviously shown. In addition, the shorter weekly cycle of 5-7 days is obviously shown, too. The shorter hourly cycle (8-12, 4-6, 3, 1-2 h, 20 min) of 1-min PM(2.5) was also indicated from spectral density analysis. Two major factors contribute the 1-min PM(2.5) cycles, i.e., the meteorological factors and source effects. Both the relative humidity and dew point showed consistent variation with PM(2.5), but the wind speed showed inverse variations with PM(2.5). Furthermore, the spectral density analysis of the meteorological factors (4-5, 2-2.5, 1-1.5 days, 12, 6-8, 3 h) may partially explain the cycles of PM(2.5). As for the sources effects, it can be shown from the strong dust storm of April 16-18th, 2006. PM(2.5) constantly increased tens and even hundreds of times high concentration within a few minutes due to the intensity of the dust sources.Environmental Monitoring and Assessment 06/2009; 165(1-4):137-46. · 1.40 Impact Factor -
Article: [Influence of PAHs exposure and GSTT1, GSTM1 genotypes on urinary 1-OHP as exposure biomarker].
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ABSTRACT: To study the influence of polycyclic aromatic hydrocarbons (PAHs) exposure (ambient concentration and smoking) and GSTT1, GSTM1, genotypes on urinary 1-OHP as exposure biomarker. 51 Cops who working outside were selected as study group, 48 Cops who working in office were selected as control Group. The ambient concentrations of PAHs both of two circumstances and the urinary 1-OHP of subjects were measured. The ambient concentrations of PAHs and the urinary 1-OHP were determined by high performance liquid chromatography (HPLC). The GSTT1, GSTM1 genotypes were determined by PCR. The ambient concentrations of PAHs in the study group and the control group were 20.85 ng/m3 and 12.79 ng/m3 respectively. There were not significant difference in urinary 1-OHP among the persons who had the deference GSTT1, GSTM1, genotypes and the same smoking habits in the study group and the control group. The urinary 1-OHP concentrations of the study group were higher than those of the control group when they had the same genotypes for non-smokers. Smoking stratified analysis showed that urinary 1-OHP concentrations of smokers were higher than those of non-smokers, the urinary 1-OHP concentrations of smokers in control group were higher than those of the non-smokers in study group. The ambient PAHs concentration and smoking could be the important factors generated the urinary 1-OHP concentration. While the levels of ambient PAHs were low, the smoking could change more prominent. The GSTT1, GSTM1 genotypes could not be the major influential factors.Wei sheng yan jiu = Journal of hygiene research 06/2009; 38(3):261-4.
