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2,4-二氯苯氧乙酸在线免疫传感器监测技术的应用研究 |
余琼珍1, 张铖麟1, 朱志华1, 崔婉俊2, 刘广立2, 宋保栋3, 王伟2, 叶波2
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1.肇庆市环境保护监测站(肇庆市环境科学研究所), 广东 肇庆 526040;2.中山大学 环境科学与工程学院, 广东 广州 510006;3.北京金达清创环境科技有限公司, 北京 100084
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摘要: |
针对水中存在的2,4-二氯苯氧乙酸(2,4-D),采用在线免疫传感器进行监测,实验结果表明:2,4-D在线免疫传感器对2,4-D质量浓度的响应符合Logistic曲线方程,在10~200 μg/L的范围内,在线免疫传感器的信号响应符合半对数线性方程.免疫芯片存在一定的记忆效应.48组测定比对实验表明,在线免疫传感器的测定误差小于人工测定误差,2,4-D在线免疫传感器可用于西江水的监测,运行稳定,信号可靠,为实现水环境有毒有害有机物的在线监测预警提供了一种新的技术解决方案. |
关键词: 2,4-二氯苯氧乙酸 在线免疫传感器 水质监测 |
DOI:10.3969/J.ISSN.1000-5137.2018.05.013 |
分类号:X835 |
基金项目:国家重大科学仪器设备开发专项(2012YQ03011108) |
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Application of the 2, 4-dichlorophenoxyacetic acid online monitoring using immunosensor technology |
YU Qiongzhen1, ZHANG Chenglin1, ZHU Zhihua1, CUI Wanjun2, LIU Guangli2, SONG Baodong3, WANG Wei2, YE Bo2
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1.Zhaoqing Environmental Protection Monitoring Station(Zhaoqing Institute of Environmental Science), Zhaoqing, Guangdong 526040;2.School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong 510006;3.Beijing J & D Environmental Technologies Ltd., Beijing 100084
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Abstract: |
The 2, 4-dichlorophenoxyacetic acid (2, 4-D) online immunosensor was characterized from the point of application in this study. Our experimental results showed that Logistic curve could be used to describe the response of 2, 4-D online immunosensor to the 2, 4-D concentration. In a range of 10~200 μg/L of 2, 4-D, half logarithmic linear equation could be used to describe the response of 2, 4-D online immunosensor to the 2, 4-D concentration. The memory effect happened on the 2, 4-D online immunosensor. According to 48 series of data, the total error of determination in the 2, 4-D online immunosensor was lower than that in the labor measurement. The 2, 4-D online immunosensor could be used in the Xijiang River with high operational stability and signal reliability. Our results should provide a promising way to realize the online early warning management on toxic organic compounds in water environment. |
Key words: 2,4-dichlorophenoxyacetic acid (2,4-D) online immunosensor water quality alert |