Spasojević Jelena, Maletić Snežana, Rončević Srđan, Grgić Marko, Krčmar Dejan, Varga Nataša, Dalmacija Božo
University of Novi Sad, Faculty of Sciences, Department of Chemistry, Biochemistry and Environmental Protection, Trg Dositeja Obradovica 3, 21000 Novi Sad, Serbia E-mail:
Water Sci Technol. 2018 Jan;77(1-2):439-447. doi: 10.2166/wst.2017.551.
Evaluation of the bioavailable fractions of organic contaminants such as polycyclic aromatic hydrocarbons (PAHs) is extremely important for assessing their risk to the environment. This available fraction, which can be solubilised and/or easily extracted, is believed to be the most accessible for bioaccumulation, biosorption and/or transformation. Sediment organic matter (OM) and clay play an important role in the biodegradation and bioavailability of PAHs. The strong association of PAHs with OM and clay in sediments has a great influence not only on their distribution but also on their long-term environmental impact. This paper investigates correlations between bioavailability and the clay and OM contents in sediments. The results show that OM is a better sorbent for pyrene (chosen as a model PAH) and that increasing the OM content reduces the bioavailable fraction. A mathematical model was used to predict the kinetic desorption, and these results showed that the sediment with the lowest content of OM had an F value of 24%, whereas sediment with 20% OM gave a value of 9%. In the experiments with sediments with different clay contents, no clear dependence between clay and rate constants of the fast desorbing fractions was observed, which can be explained by the numerous possible interactions at the molecular level.
评估多环芳烃(PAHs)等有机污染物的生物可利用部分对于评估其对环境的风险极为重要。这种可溶解和/或易于提取的可利用部分被认为是生物累积、生物吸附和/或转化最易获取的部分。沉积物中的有机物质(OM)和黏土在PAHs的生物降解和生物可利用性方面发挥着重要作用。PAHs与沉积物中的OM和黏土的强烈结合不仅对其分布有很大影响,而且对其长期环境影响也有很大影响。本文研究了生物可利用性与沉积物中黏土和OM含量之间的相关性。结果表明,OM是芘(选为模型PAH)的更好吸附剂,并且增加OM含量会降低生物可利用部分。使用数学模型预测动力学解吸,这些结果表明OM含量最低的沉积物的F值为24%,而OM含量为20%的沉积物的F值为9%。在不同黏土含量沉积物的实验中,未观察到黏土与快速解吸部分的速率常数之间有明显的相关性,这可以通过分子水平上众多可能的相互作用来解释。