石河子市细颗粒物中微生物活性水平分析

谢纯斌, 鲁建江, 李姗蔓, 童延斌, 叶邦策, 苟欢歌. 石河子市细颗粒物中微生物活性水平分析[J]. 环境工程学报, 2018, 12(9): 2580-2584. doi: 10.12030/j.cjee.201803244
引用本文: 谢纯斌, 鲁建江, 李姗蔓, 童延斌, 叶邦策, 苟欢歌. 石河子市细颗粒物中微生物活性水平分析[J]. 环境工程学报, 2018, 12(9): 2580-2584. doi: 10.12030/j.cjee.201803244
XIE Chunbin, LU Jianjiang, LI Shanman, TONG Yanbin, YE Bangce, GOU Huange. Exploring microbial activity level of fine particulate matter in Shihezi city,China[J]. Chinese Journal of Environmental Engineering, 2018, 12(9): 2580-2584. doi: 10.12030/j.cjee.201803244
Citation: XIE Chunbin, LU Jianjiang, LI Shanman, TONG Yanbin, YE Bangce, GOU Huange. Exploring microbial activity level of fine particulate matter in Shihezi city,China[J]. Chinese Journal of Environmental Engineering, 2018, 12(9): 2580-2584. doi: 10.12030/j.cjee.201803244

石河子市细颗粒物中微生物活性水平分析

  • 基金项目:

    国家自然科学基金资助项目(21567023)

Exploring microbial activity level of fine particulate matter in Shihezi city,China

  • Fund Project:
  • 摘要: 大气颗粒物( particulate matter,PM)中的生物成分会严重引起组织炎症,并且有传播给人类、植物和家畜病原菌等危害。通过FDA(荧光素二乙酸酯)水解法定义石河子市微生物气溶胶的酶活性水平,采用Pearson双变量分析方法分析其影响因素。结果表明,石河子市的细颗粒物中微生物酶活性最高的是夏季,最低的是冬季。酶活性水平与温度(R=0.587,n=75,P<0.01)、细颗粒物浓度(R=-0.704,n=75,P<0.01)和风速(R=0.605,n=75,P<0.05)存在显著相关性。通过逐步多元线性回归方程可知温度是最显著的影响因素。研究为城市重点区域环境规划和总体环境改善方案提供基础科学数据,对石河子的大气环境研究有重要的参考价值。
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  • [1] PUTAUD J P, DINGENEN R V, ALASTUEY A, et al.A european aerosol phenomenology-3: physical and chemical characteristics of particulate matter from 60 rural, urban, and kerbside sites across Europe[J].Atmospheric Environment, 2010, 44(10):1308-1320 10.1016/j.atmosenv.2009.12.011
    [2] 丁朔, 沈仕亮, 黄远东. 不同季节工业城市大气颗粒物浓度监测与聚类分析[J]. 环境工程学报, 2017, 11(12):6393-6403 10.12030/j.cjee.201606128
    [3] 钟宇红, 房春生, 邱立民,等. 典型城市大气颗粒物无机组分源解析[J]. 东北师大学报(自然科学版), 2008, 40(1): 136-140
    [4] 郑芷青, 谢小保, 欧阳友生,等. 珠江三角洲城市群大气微生物优势种群及时空分异特征[J]. 地理研究, 2009, 28(3): 625-633 10.11821/yj2009030007
    [5] BOWERS R M, SULLIVAN A P, COSTELLO E K, et al.Sources of bacteria in outdoor air across cities in the Midwestern United States[J].Applied & Environmental Microbiology, 2011, 77(18):6350-6356 10.1128/AEM.05498-11
    [6] LI D W, KENFRICK B.Functional relationships between airborne fungal spores and enviromental factors in Kitchener-Waterloo, Ontario, as detected by canonical correspondence analysis[J].Grana Palynologica, 1994, 33(3):166-176 10.1080/00173139409428995
    [7] GOU H, LU J, LI S, et al.Assessment of microbial communities in PM1 and PM10 of Urumqi during winter[J].Environmental Pollution, 2016, 214: 202-210 10.1016/j.envpol.2016.03.073
    [8] USEPA.Air quality criteria for particulate matter[R].DC: USEPA Research Triangle Park, 2004
    [9] 车荣晓, 王芳, 王艳芬,等. 土壤微生物总活性研究方法进展[J]. 生态学报, 2016, 36(8):2103-2112
    [10] MEGHARAJ M, SINGLETON I, MCCLURE N C, et al.Influence of petroleum hydrocarbon contamination on microalgae and microbial activities in a long-term contaminated soil[J].Archives of Environmental Contamination & Toxicology, 2000, 38(4):439-445 10.1007/s002449910058
    [11] QI J, ZHONG X, SHAO Q, et al.Microbial activity levels in atmospheric bioaerosols in Qingdao[J].Aerobiologia, 2015, 31(3):353-365 10.1007/s10453-015-9369-3
    [12] 孟祥斌, 李孟哲, 李鸿涛, 等. 青岛近海冬季大气生物气溶胶中微生物活性研究[J]. 环境科学, 2016, 37(11):4147-4155 10.13227/j.hjkx.201605074
    [13] WANANDY S, BROUWRE N, LIU Q, et al.Optimisation of the fluorescein diacetate antibacterial assay[J].Journal of Microbiological Methods, 2005, 60(1):21-30 10.1016/j.mimet.2004.08.010
    [14] GRINN-GOFRON A, STRZELCZAK A, WOLSKI T.The relationships between air pollutants, meteorological parameters and concentration of airborne fungal spores[J].Environmental Pollution, 2011, 159(2):602-608 10.1016/j.envpol.2010.10.002
    [15] FRANZETTI A, GANDOLFI I, GASPARI E, et al.Seasonal variability of bacteria in fine and coarse urban air particulate matter[J].Applied Microbiology & Biotechnology, 2011, 90(2):745-753 10.1007/s00253-010-3048-7
    [16] 苟欢歌, 谢纯斌, 童延斌,等. 石河子市春季大气颗粒物TSP和PM10中微生物群落特征[J]. 环境工程学报, 2017, 11(4):2343-2349 10.12030/j.cjee.201601006
    [17] PAKPOUR S, LI D W, KLIRONOMOS J.Relationships of fungal spore concentrations in the air and meteorological factors[J].Fungal Ecology, 2015, 13(13):130-134 10.1016/j.funeco.2014.09.008
    [18] ZHONG X, QI J, LI H, et al.Seasonal distribution of microbial activity in bioaerosols in the outdoor environment of the Qingdao coastal region[J].Atmospheric Environment, 2016, 140:506-513 10.1016/j.atmosenv.2016.06.034
    [19] SLONCZEWSKI J, FOSTER J W.Microbiology : An Evolving Science[M].New York:W.W.Norton and Company, 2013
    [20] HAAS D, GALLER H, LUXNER J, et al.The concentrations of culturable microorganisms in relation to particulate matter in urban air[J].Atmospheric Environment, 2013, 65(2):215-222 10.1016/j.atmosenv.2012.10.031
    [21] GRIFFITHS W D, DECOSEMO G A L.The assessment of bioaerosols: A critical review[J].Journal of Aerosol Science, 1994, 25(8):1425-1458 10.1016/0021-8502(94)90218-6
    [22] MANDRIOLI P, CECCO M D, ANDINA G.Ragweed pollen: The aeroallergen is spreading in Italy[J].Aerobiologia, 1998, 14(1):13-20
    [23] GAO M, YAN X, QIU T, et al.Variation of correlations between factors and culturable airborne bacteria and fungi[J].Atmospheric Environment, 2016, 128:10-19 10.1016/j.atmosenv.2015.12.008
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出版历程
  • 刊出日期:  2018-09-20

石河子市细颗粒物中微生物活性水平分析

  • 1. 石河子大学化学化工学院,新疆兵团化工绿色过程重点实验室,石河子 832003
基金项目:

国家自然科学基金资助项目(21567023)

摘要: 大气颗粒物( particulate matter,PM)中的生物成分会严重引起组织炎症,并且有传播给人类、植物和家畜病原菌等危害。通过FDA(荧光素二乙酸酯)水解法定义石河子市微生物气溶胶的酶活性水平,采用Pearson双变量分析方法分析其影响因素。结果表明,石河子市的细颗粒物中微生物酶活性最高的是夏季,最低的是冬季。酶活性水平与温度(R=0.587,n=75,P<0.01)、细颗粒物浓度(R=-0.704,n=75,P<0.01)和风速(R=0.605,n=75,P<0.05)存在显著相关性。通过逐步多元线性回归方程可知温度是最显著的影响因素。研究为城市重点区域环境规划和总体环境改善方案提供基础科学数据,对石河子的大气环境研究有重要的参考价值。

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