研究报告

  • 程丽琴,朱仁果,朱慧晓,吴智辉,鲁承绍,李静雯.南昌市PM2.5中游离氨基酸的浓度、来源与分布特征[J].环境科学学报,2022,42(11):308-317

  • 南昌市PM2.5中游离氨基酸的浓度、来源与分布特征
  • Concentration, source and distribution of free amino acids in PM2.5 in Nanchang City
  • 基金项目:国家自然科学基金(No.41463007);东华理工大学科研基金(No.DHBK2016106)
  • 作者
  • 单位
  • 程丽琴
  • 东华理工大学水资源与环境工程学院,南昌 330013;东华理工大学,江西省大气污染成因与控制重点实验室,南昌 330013
  • 朱仁果
  • 东华理工大学,江西省大气污染成因与控制重点实验室,南昌 330013
  • 朱慧晓
  • 东华理工大学水资源与环境工程学院,南昌 330013;东华理工大学,江西省大气污染成因与控制重点实验室,南昌 330013
  • 吴智辉
  • 东华理工大学水资源与环境工程学院,南昌 330013
  • 鲁承绍
  • 东华理工大学水资源与环境工程学院,南昌 330013
  • 李静雯
  • 东华理工大学水资源与环境工程学院,南昌 330013
  • 摘要:于2021年3—4月在南昌市森林地区和城市地区采集大气PM2.5样品,测定其游离氨基酸(Free Amino Acids,FAAs)浓度.结果表明,南昌市森林地区大气气溶胶中总FAAs浓度为0.093~0.885 nmol·m-3,平均浓度为(0.451±0.197) nmol·m-3;城市地区大气气溶胶中总FAAs浓度为0.393~1.316 nmol·m-3,平均浓度为(0.586±0.227) nmol·m-3;森林地区FAAs浓度明显低于城市地区.对氨基酸组成占比分析发现,森林与城市地区氨基酸组成相似,最丰富的氨基酸均为Pro,Gly次之,Ala、Val、Leu、Ile为主要氨基酸.城市地区疏水性氨基酸(46.25%)高于森林地区(41.57%),这说明疏水性FAAs可能更适合在城市空气中聚集.通过相关性分析发现,温度对城市地区多个FAA浓度均有显著影响(p<0.05).随着温度的升高,FAAs浓度也升高.O3对城市FAAs有显著影响(r=0.6,p<0.01),表明城市气溶胶中的FAAs可能参与了与O3相关的大气氧化过程.通过后向轨迹分析表明,森林地区FAAs来自2000 m以上的占比高于来自2000 m以下,且有显著性差异(p<0.05),而城市地区FAAs 来自2000 m以上和2000 m以下的占比相当.
  • Abstract:PM2.5 samples were collected in forest and urban areas in Nanchang City in March April 2021 in thisstudy.The concentrations of FAAs (free amino acids) in PM2.5 were determined. The results showed that the concentrations of FAAs ranged from 0.093 nmol·m-3to 0.885 nmol·m-3 and 0.393~1.316 nmol·m-3 in the forest and urban area, respectively. The average concentration of FAAs in PM2.5 collected from the forest area ((0.451±0.197) nmol·m-3) was significantly lower than that in the urban areas ((0.586±0.227) nmol·m-3) were. The composition of amino acid in the forest and urban was similar. Pro was the most abundant amino acid, followed by Gly, Ala, Val, Leu and Ile. The percentage of hydrophobic amino acids in urban areas (46.25%)were much higher than that in forested areas (41.57%), suggesting that hydrophobic aminoacids prefer to accumulated in urban aerosols. The positive correlation between temperature and FAAs in PM2.5 was found in the urban area (p<0.05), indicating temperature had significant influence on FAA concentrations. Moreover, O3 positively correlated with FAAs in the urban (r=0.6, p<0.01), indicating that FAAs might participate photochemical reaction process in the urban aerosols. According to the backward trajectory analysis, the concentrations of FAA in forest areas above 2000 m was significantly higher than that of below 2000 m (p<0.05). In urban areas, FAA from above 2000 m and below 2000 m accounted for the same proportion of concentrations.

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