不同暴露条件下克氏原螯虾组织中砷的积累与转化
Accumulation and transformation of arsenic in the tissues of Procambarusclarkii under different exposure conditions
刘雯清 1黄中情 1何发涛 1钟彪 1宋梦萍 1曾绍宇 1阮俊杰 1杨常亮 2陈晨1
作者信息
- 1. 云南大学国际河流与生态安全研究院,昆明,650091
- 2. 云南大学生态与环境学院,昆明,650091
- 折叠
摘要
砷(As)可在水生食物链中积累转化,并通过食物链影响人体健康.克氏原螯虾(Procambarusclarkii)是一种生活在淡水底层的杂食性动物,能够从水和食物中吸收和转化无机砷.本研究探究了砷酸盐As(V)在3种不同的暴露条件下(水相、食物相、水相与食物相),克氏原螯虾不同组织中As(V)的生物积累和转化.结果表明,其在水-食物两相体系中的砷积累浓度较高,而且水相暴露体系对总砷积累速率的贡献大于食物相暴露体系.砷在克氏原螯虾不同组织中的积累和转化具有显著的特异性,其富集浓度和积累速率如下:鳃＞外壳＞肌肉.克氏原螯虾对无机砷的生物转化途径是将部分As(V)还原为As(Ⅲ),部分转化为一甲基砷酸(MMA)、二甲基砷酸(DMA)和砷甜菜碱(AsB).本文对了解底栖生物链中砷的积累和转化以及小龙虾的食用安全具有重要意义.
Abstract
Arsenic(As)can accumulate and transform in the aquatic food chain and affect human health through the food chain.The crayfish(Procambarusclarkii),an omnivore living in freshwater substrates,is capable of absorbing and transforming inorganic arsenic from water and food.In this study,we investigated the bioaccumulation and transformation of arsenate As(V)in different tissues of Procambarusclarkii under three different exposure conditions(aqueous phase,food phase,aqueous phase&food phase).The results showed that the arsenic accumulation concentration was higher in aqueous phase&food phase system,and the contribution of the aqueous phase exposure system to the total arsenic accumulation rate was greater than that of the food phase exposure system.The accumulation and transformation of arsenic in different tissues of Procambarusclarkii were significantly specific,with the following enrichment concentrations and accumulation rates:gill＞shell＞muscle.The biotransformation pathway of inorganic arsenic in Procambarusclarkii was the partial reduction of As(V)to As(Ⅲ)and partial conversion to monomethylarsenic acid(MMA),dimethylarsenic acid(DMA)and arsenic betaine(AsB).This is important for understanding the accumulation and transformation of arsenic in benthic biota and the food safety of crayfish.
关键词
克氏原螯虾/轮叶黑藻/砷/生物积累/生物转化Key words
Procambarusclarkii/Hydrilla verticillata/As/bioaccumulation/biotransformation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据