Cao Q, Yu Q, Connell D W
Griffith School of Engineering, Griffith University, Nathan, QLD 4111, Australia.
Environ Technol. 2008 Dec;29(12):1321-30. doi: 10.1080/09593330802393244.
Steroid estrogens are one of the most important groups of endocrine disrupting chemicals (EDCs) which can cause adverse effects on wildlife species and humans. Natural estrogens, including estrone (E1) and estradiol (E2), and synthetic estrogen 17alpha-ethinylestradiol (EE2) together contribute to most of the estrogenic activity in sewage effluents and receiving water. Degradation, particularly aerobic biodegradation was found to be the dominant removal mechanism in these environments. There are a number of factors such as temperature, pH, SRT, HRT and biomass concentration that can affect the rate of biodegradation. This paper reports the results of investigations in to the relationship between the equivalent biomass concentration and degradation rate constants for compounds E1, E2 and EE2 in various environments. It was found that a higher biomass concentration leads to higher rate constants, and relatively good linear correlations (R2 =0.73, 0.79 and 0.73) between the logarithm of the rate constants and the corresponding logarithm equivalent biomass concentration (EBC) values were obtained.
类固醇雌激素是最重要的内分泌干扰化学物质（EDC）类别之一，会对野生动物和人类产生不良影响。天然雌激素，包括雌酮（E1）和雌二醇（E2），以及合成雌激素17α-乙炔雌二醇（EE2）共同构成了污水和受纳水体中大部分的雌激素活性。降解，尤其是好氧生物降解，被发现是这些环境中的主要去除机制。有许多因素，如温度、pH值、污泥龄（SRT）、水力停留时间（HRT）和生物量浓度，会影响生物降解速率。本文报告了关于在各种环境中化合物E1、E2和EE2的等效生物量浓度与降解速率常数之间关系的研究结果。研究发现，较高的生物量浓度会导致较高的速率常数，并且在速率常数的对数与相应的对数等效生物量浓度（EBC）值之间获得了相对良好的线性相关性（R2 = 0.73、0.79和0.73）。
