康海宁,程 巧,涂小珂,林 黎,王晓玮,杨丽华.珠江八大河口表层沉积物中典型环境 内分泌干扰物的分布特征[J].食品安全质量检测学报,2014,5(11):3386-3393 |
珠江八大河口表层沉积物中典型环境 内分泌干扰物的分布特征 |
Spatial distribution of typical endocrine disrupting chemicals in Pearl River estuaries |
投稿时间:2014-10-09 修订日期:2014-11-15 |
DOI: |
中文关键词: 环境内分泌干扰物 分布特征 珠江河口 沉积物 |
英文关键词:endocrine disrupting chemicals spatial distribution Pearl River estuaries sediments |
基金项目:国家质检总局科技计划项目(2012IK186)、广东省厅局级项目(广东省海洋与与渔业局项目, 粤财农[2012]509号)、珠海市科技计划项目(2010B040102043)、2011年广州市珠江科技新星项目(No. 92) |
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Author | Institution |
KANG Hai-Ning | Shenzhen Key Laboratory of Detection Technology R D on Food Safety, Food Inspection and Quarantine Center, Shenzhen Entry-Exit Inspection and Quarantine Bureau |
CHENG Qiao | MOE Key Laboratory of Aquatic Product Safety, School of Marine Science, Sun Yat-Sen University |
TU Xiao-Ke | Shenzhen Key Laboratory of Detection Technology R D on Food Safety, Food Inspection and Quarantine Center, Shenzhen Entry-Exit Inspection and Quarantine Bureau |
LIN Li | Shenzhen Key Laboratory of Detection Technology R D on Food Safety, Food Inspection and Quarantine Center, Shenzhen Entry-Exit Inspection and Quarantine Bureau |
WANG Xiao-Wei | MOE Key Laboratory of Aquatic Product Safety, School of Marine Science, Sun Yat-Sen University |
YANG Li-Hua | MOE Key Laboratory of Aquatic Product Safety, School of Marine Science, Sun Yat-Sen University |
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中文摘要: |
目的 研究珠江8个河口表层沉积物中7种典型环境内分泌干扰物(EDCs)的分布特征。方法 采集8个河口门的表层沉积物, 采用加速溶剂萃取-衍生化-气相色谱质谱技术分析7种典型EDCs含量。结果 化工类化合物壬基酚(NP)、双酚A(BPA)、四羟基苯甲酸丙酯(PP)和辛基酚(OP), 甾醇类自然雌激素雌二醇(E2)、雌酮(E1)和合成雌激素乙炔雌二醇(EE2)均有检出。除EE2的检出率为88.2%, 其余EDCs的检出率为100%, 其浓度范围(ng/g dw)从大到小依次为: NP (565.28~812.6)>BPA (42.55~248.25)>PP (93.44~109.96)>OP (3.62~11.52)、E1 (14.13~23.13)、E2 (6.86~15.42)、EE2 (ND~23.45)。结论 4种化工类EDCs和EE2在8个河口中的分布特征类似, 东四河口的浓度累积量明显高于西四河口, 且其中的虎门河口浓度较高。在各河口中EDCs浓度表现出从河道至河口外方向随水流逐渐降低。E1和E2在除鸡啼门外的其他7个河口中的不同采样点处的浓度变化不大, 鸡啼门中有可能的点污染源。 |
英文摘要: |
Objective To investigate the distribution of typical EDCs in Pearl River estuaries. Methods Surface sediment were collected, and EDCs were extracted by accelerated solvent extraction (ASE) from sediment matrix and cleaned up by centrifugation, the target compounds were finally analyzed by GC-MS after derivatization by BSTFA. Results Industrial EDCs such as OP, NP, BPA, and PP, steroidal EDCs such as natural estrogens E1, E2, and synthetical estrogen EE2 were widely detected. Except the detection percent was 88.2% for EE2, the other EDCs were detected in all the collected samples, and the concentration ranges (ng/g dw) were in the following order: NP(565.28~812.6)>BPA(42.55~248.25)>PP (93.44~109.96)>OP (3.62~11.52), E1(14.13~ 23.13), E2(6.86~15.42), and EE2(ND~23.45). Conclusion Spatial distribution of the 4 industrial EDCs and EE2 were similar, concentration in the east four outlets were higher than that in the west four outlets, and especially higher in Humen estuary. Moreover, EDCs concentrations in each estuary decreased gradually with stream direction from river to ocean. Except possible point pollution source in Jitimen, E1 and E2 concentration in the other seven outlets were in the same magnitude. |
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