摘要
通过水培实验,研究了不同Mg2+浓度下Cu、Zn、Ni单独及Cu-Ni、Zn-Ni复合对小麦根的毒性并分别建立了3个元素的BLM.利用Cu、Zn、Ni单一毒性数据,计算了复合金属离子与生物配体结合数量指数(fmix),由此建立了用于预测Cu-Ni、Zn-Ni联合毒性的BLM-fmix模型.结果表明,溶液中Mg2+浓度增加,能够减弱单一Cu、Zn、Ni和Cu-Ni、Zn-Ni复合对小麦根的毒性.在复合体系中,Cu-Ni复合的TU50(对小麦根长产生50%抑制作用时的毒性单位值)分别为1.18、1.33、1.31,略大于1,表现为弱拮抗作用;而Zn-Ni复合的TU50分别为4.22、2.26、2.16,表现为强拮抗作用.BLM-fmix模型能够准确预测Cu-Ni、Zn-Ni联合作用下小麦根长,预测和实测值的相关系数及标准误差分别为0.94、8.87(Cu-Ni复合)和0.92、10.14(Zn-Ni复合),该结果为重金属复合污染土壤的评价和修复提供理论依据.
Toxicity of Cu,Zn,Ni alone and Cu-Ni,Zn-Ni compounds to wheat were tested by water cultivation experiment under different concentrations of Mg2+,and BLM( biotic ligand model) of Cu,Zn and Ni were established respectively. Using data of single metal element( Cu,Zn and Ni) BLM combined with toxicity index,the overall amounts of metal ions bound to the biotic ligands( fmix) was calculateed. Furthermore,BLM-fmixwas established to predict the joint toxicity of Cu-Ni and Zn-Ni. The results showed that the toxicity of single Cu,Zn and Ni as well as the combined toxicity of Cu-Ni,ZnNi were decreased with the increasing Mg2+concentration. In the compound solution,the TU50 values( when the root length of wheat was inhibited by50%) of Cu-Ni compound was 1. 18,1. 33,1. 31,slightly greater than 1,which showed weak antagonism between Cu and Ni; Whereas in Zn-Ni composite system,the TU50 value was 4. 22,2. 26,2. 16,which showed strong antagonistic effect. BLM-fmixcould accurately predict the root length of wheat under the combined action of Cu-Ni and Zn-Ni. The correlation coefficient and standard error of the predicted and measured values were 0.94,0.87 in Cu-Ni and 0.92,10.14 in Zn-Ni respectively. The results provided a theoretical basis for the evaluation and remediation contaminated soils of heavy metal.
作者
王祺鑫
王学东
李志涛
季冬雪
华珞
WANG Qixin;WANG Xuedong;LI Zhitao;JI Dongxue;HUA Luo(College of Resource Environment and Tourism,Capital Normal University,Beijing 100048;Chinese Academy for Environmental Planning,Beijing 100012)
出处
《环境科学学报》
CAS
CSCD
北大核心
2018年第8期3367-3374,共8页
Acta Scientiae Circumstantiae
基金
国家自然科学基金项目(No.41501537)
北京市教育委员会科技计划项目(No.KM201610028012)~~