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数字图像法测定养殖水中的孔雀石绿
引用本文:俞巧玲,袁金涛,陈艳萍,周全.数字图像法测定养殖水中的孔雀石绿[J].化学分析计量,2017,26(2).
作者姓名:俞巧玲  袁金涛  陈艳萍  周全
作者单位:郑州大学公共卫生学院,郑州,450001
基金项目:郑州大学大学生创新创业训练计划项目
摘    要:建立一种简单、可靠的养殖水中孔雀石绿的数字图像检测方法。以1-己基-3-甲基咪唑四氟硼酸盐离子液体富集水样品,再用手机拍照获取样品信息,最后用数字图像结合多层感知器神经网络定量分析孔雀石绿的含量。该法测定结果的相对标准偏差不大于6%(n=5),加标回收率为97.8%~103.0%。该方法可用于养殖水中孔雀石绿的含量测定。

关 键 词:孔雀石绿  数字图像法  多层感知器神经网络  渔业养殖水

Determination of Malachite Green in Fishing Water by Digital Image Analysis
Yu Qiaoling,Yuan Jintao,Chen Yanping,Zhou Quan.Determination of Malachite Green in Fishing Water by Digital Image Analysis[J].Chemical Analysis And Meterage,2017,26(2).
Authors:Yu Qiaoling  Yuan Jintao  Chen Yanping  Zhou Quan
Abstract:A simple and stable method for determing malachite green in fishing water was established based on digital image analysis. The fishing water samples were pretreated by ionic liquid of 1-hexyl-3-methyl-imidazolium tetrafluoroborate, and then the sample information was detected from the image taken by cell phone. The concentration of malachite green was determined by digital image analysis and multilayer perceptron neural network. The relative standard deviation for fishing water samples by this method was not more than 6%(n=5), and the average recoveries were in the range of 97.8%-103.0%. This method was suitable for determination of malachite green in fishing water.
Keywords:malachite green  digital image analysis  multilayer perceptron neural network  fishing water
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