Study On The Correlation Between The Toxic Dosages Of PM2.5on Plasmid DNA And Pahs, Heavy Metals In Southern Urumqi Atmospheric

As the study of particulate matter goes further, people recognize that inhalableparticles (Especially fine particles) is one kind of the particulate matters that can dogreatest harm to the environment and human health. The rapid development of thecity process makes the number of motor vehicles and population rapid growthly, theemissions of all kinds industrial pollution sources to atmospheric also increased yearby year, the resulting atmospheric pollution Have a bad adverse effects on daily life,work and human health of residents. At present, the atmospheric Inhalable particlesparticulate matter is still the main air pollutant in Urumqi city.In this study set the sampling locations at the Xinjiang University collectedatmospheric PM2.5samples from2012January to2012December, analysis the Dailyvariation and seasonal characteristics of PM2.5mass concentration. An in vitroplasmid DNA assay was employed to study the Oxidative damage of DNA caused bydifferent season’s PM2.5, and study the correlation between theTD30values (toxicdosages of PM2.5causing30%of plasmid DNA damage) with the correspondingenvironmental factors and Mass concentrations; the result show that, the massconcentrations of atmospheric PM2.5in Urumqi had seasonal variation, characterizedby a highest in winter,moderately high in spring and autumn,the lowest in summer.the oxidative capacity of whole and water soluble fraction of PM2.5in differentseasons varied greatly, with the values of oxidative damage to DNA being highest inwinter, followed by summer, spring, and autumn in descending order. the averageTD30values of whole fraction of PM2.5in winter, spring, summer and autumn were440,491,503and515μg/mL, respectively. and the average TD30values ofcorresponding water-soluble fraction were474、721、666and600μg/mL, respectively.correlation analysis show that：TD30value of whole fraction showed a notable（P＜0.05） positive correlation with average temperature, the TD30value of water solublefraction showed a notable（P＜0.01） positive correlation with wind speed, and a notable（P＜0.01）negative correlation with the relative humidity. there is no obviouscorrelation between the TD30value and mass concentrations of PM2.5.Use nitrate solution Analysis The concentration of8kinds of heavy metals(Fe、Mn、Ni、Cu、Zn、Pb、Hg、As) in PM2.5,And study the contribution of heavy metalconcentration on the PM2.5mass concentration. during sampling period, in the Heavymetals of PM2.5, The content of Fe（88.09%） is significantly higher than other heavymetals, Followed by Zn（7%）, Mn（3%）,and Cu（1%）;Ni Pb, Hg, and As accountsfor a small percentage. In addition to there is a certain correlation between thecorresponding TD30values of whole fraction with concentration of Fe and Mn, thereis no obvious correlation between the other6kinds of heavy metals. between Thecorresponding TD30values of water soluble fraction with the concentration of Mn andAs has certain positive correlation,the correlations between other heavy metal’sconcentrations is not obvious。In reference to the U.S. EPA-610method, chromatography-mass spectrometry(GC-MS) technology is applied to detect the17kinds of polycyclic aromatichydrocarbons,and the mass concentration changes of PAHs were analyzed. At thesame time discusses the relationship of TD30values and the correspondingconcentrations of PAHs; Results indicate that, during sampling period the lowest totalconcentration of Polycyclic aromatic hydrocarbons was the745.09ng/m3, the highestwas the1044.41ng/m3; average concentrations range of17kinds PAHs is6.50~82.62ng/m3.the correlation between the The total mass concentration of PAHs with thecorresponding concentration of PM2.5and the corresponding TD30values of wholefraction, water-soluble fraction of PM2.5is not obvious; The correlation betweenconcentration of Various polycyclic aromatic hydrocarbons and TD30values of watersoluble fraction were not significant, while TD30value of whole fraction showed anotable (P<0.05) positive correlation with Ant and CRH, and a notable (P<0.05) negative correlation with BKfe, Bghip and Cor.