Staniszewska Marta, Nehring Iga, Zgrundo Aleksandra
Institute of Oceanography, University of Gdansk, Al. Marszałka Piłsudskiego 46, 81-378 Gdynia, Poland.
Institute of Oceanography, University of Gdansk, Al. Marszałka Piłsudskiego 46, 81-378 Gdynia, Poland.
Environ Pollut. 2015 Dec;207:319-28. doi: 10.1016/j.envpol.2015.09.031. Epub 2015 Oct 1.
Endocrine disrupting compounds (EDCs) like bisphenol A (BPA), 4-tert-octylphenol (OP) and 4-nonylphenol (NP) are introduced to the trophic webs through among others phytoplankton. This paper describes BPA, OP and NP concentrations in phytoplankton in the Gulf of Gdansk (Southern Baltic Sea) in the years 2011-2012. The assays of BPA, OP and NP in samples were performed using HPLC with fluorescence detection. The concentrations of BPA, the most commonly used of the three compounds, were over ten times higher than OP and NP concentrations. The concentrations of the studied EDCs in phytoplankton from the Gulf of Gdansk depended on anthropogenic factors and on phytoplankton properties (species composition, biomass, volume). An increase in phytoplankton biomass did not always result in an increase of BPA, OP and NP concentrations. However, the load of the studied EDCs accumulated in phytoplankton biomass increase with a rise of biomass. An increase in BPA, OP and NP concentrations was effected by biomass growth and the proportions ofciliates, dinoflagellates, diatoms and green algae. A strong positive correlation between OP and NP concentrations and negative correlation between BPA concentrations and biomass of organisms with cells measuring <1000 μm(3) in volume results from the differing properties of these compounds.
双酚A(BPA)、4-叔辛基苯酚(OP)和4-壬基苯酚(NP)等内分泌干扰化合物通过浮游植物等途径进入营养网。本文描述了2011 - 2012年格但斯克湾(波罗的海南部)浮游植物中BPA、OP和NP的浓度。样品中BPA、OP和NP的测定采用带荧光检测的高效液相色谱法。三种化合物中最常用的BPA的浓度比OP和NP的浓度高出十多倍。格但斯克湾浮游植物中所研究的内分泌干扰化合物的浓度取决于人为因素和浮游植物的特性(物种组成、生物量、体积)。浮游植物生物量的增加并不总是导致BPA、OP和NP浓度的增加。然而,随着生物量的增加,浮游植物生物量中积累的所研究的内分泌干扰化合物的负荷增加。BPA、OP和NP浓度的增加受生物量增长以及纤毛虫、甲藻、硅藻和绿藻的比例影响。OP和NP浓度之间的强正相关以及BPA浓度与体积小于1000μm³的生物体生物量之间的负相关是由这些化合物的不同特性导致的。