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Analysis of atmospheric fine particles adsorption and biomonitoring potential of corn silk
Received:January 02, 2020  
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KeyWord:atmospheric contamination;corn silk;PM2.5;biosorption;biomonitoring
Author NameAffiliationE-mail
MENG Bu-fan School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China  
QIAN Jing-hao School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China  
WANG Wen-xin School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China  
ZHENG Gui-ling School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China  
LI Peng School of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China pengleep@163.com 
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Abstract:
      To investigate the possibility of using local crops for biomonitoring of particulate matter, corn silk and corn leaves were collected from 17 regions of Shandong Province, a major corn-producing area in China. The mass concentrations of atmospheric fine particles (PM2.5)adsorbed by these materials and the correlation with the results of local PM2.5 monitoring results acquired through conventional methods were analyzed. The results showed that the PM2.5 concentrations in the coastal areas of Shandong were significantly lower than those in the inland areas. Correspondingly, biomonitoring using corn silk showed that areas with a low PM2.5 concentration were mostly located in coastal areas. In addition, the amount of PM2.5 retained by corn silk was significantly positively correlated with the monthly average atmospheric PM2.5 concentration and the average after-rain atmospheric PM2.5 concentration(P<0.01); however, this phenomenon was not observed in corn leaves. Therefore, corn silk could retain PM2.5 for longer and more effectively. The amount of PM2.5 on corn silk reveals not only the degree of air pollution owing to PM2.5 but also the distribution of atmospheric PM2.5 pollution. Our findings demonstrate that corn silk, which is an agricultural waste, has great application potential in monitoring atmospheric PM2.5 pollution.