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作 者:何红萍[1] 周君[1] 张春丹[1] 李晔[1] 黄健[2] 丁媛[1] 李太武[3] 苏秀榕[1]
机构地区:[1]宁波大学海洋学院,宁波315211 [2]北京普析通用仪器有限责任公司,北京101200 [3]宁波城市职业技术学院,宁波315100
出 处:《海洋与湖沼》2013年第6期1544-1549,共6页Oceanologia Et Limnologia Sinica
基 金:海洋公益性行业科研专项经费资助项目;201005016号;宁波大学学科项目;2010597号
摘 要:为建立一种简单快捷的多氯联苯检测方法,本研究应用化学传感器对宁波沿海重点陆源排污口及周边海水中的多氯联苯进行了检测,采用HS-SPME-GC-MS(顶空固相微萃取-气质联用)对结果进行了验证。利用化学传感器测定海水中的多氯联苯,在LDA(线性判别分析)中,总判别率为99.81%。海水体积增大到5mL时,LDA最低检测限达到了0.01ng/L。建立的模型中,欧氏距离、相关性、判别函数法和马氏距离对样品浓度鉴别的正确率分别达到了100%、100%、92%、84%。采用Loading分析法简化了传感器阵列,使BP神经网络总的MSE达到了5.6548e?006,总的相关系数0.99998,而最大误差只有1.0300e?002的水平。HS-SPME-GC-MS对海水中多氯联苯浓度的检测限最低为0.001?g/L,远高于化学传感器的0.01ng/L,回收率在100%—120%之间。To establish a method for detecting polychlorinated biphenyls simply and quickly. In this research, Chemical sensor was applied to detect PCBs in Ningbo key coastal land-based sewage outfall and the surrounding seawater, and the classification results were verified by HS-SPME-GC-MS. The concentration of PCBs were determined by chemical sensors, with the method of LDA, the total variance rate was 99.81%. When the volume of water increased to 5mL, the minimum detection limit reach to 0.01ng/L. In the established model, the correctness rate of verification of the Euclidean distance, correlation, discriminant functions and Mahalanobis distance reached 100%, 100%, 92%, 84%, respectively. The sensor array was simplified by using the method of Loading analysis and the total MSE reached 5.6548e?006 in BP neural network, and the total correlation coefficient was 0.99998, while the maximum error was 1.0300e?002. HS-SPME-GC-MS detection results show that the lowest detected limit of PCBs concentration in seawater reached 0.001?g/L, and the estimated value is much higher than 0.01ng/L which was chemical sensors detected, besides that the discovery rate between 100%—120%.
关 键 词:多氯联苯 顶空固相微萃取-气质联用 化学传感器 BP神经网络
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