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。
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 of1-hexyl-3-methyl-imidazolium tetrafluoroborate,and then the sample information was detected from the image taken by cell phone.The concentration ofmalachite 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 than6%(n=5),and the average recoveries were in the range of97.8%–103.0%.This method was suitable for determination of malachite green in fishing water.
作者
俞巧玲
袁金涛
陈艳萍
周全
Yu Qiaoling;Yuan Jintao;Chen Yanping;Zhou Quan(College of Public Health, Zhengzhou University, Zhengzhou 450001, China)
出处
《化学分析计量》
CAS
2017年第2期28-30,共3页
Chemical Analysis And Meterage
基金
郑州大学大学生创新创业训练计划项目
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
malachite green
digital image analysis
multilayer perceptron neural network
fishing water
