基于颜色检测的亚硝酸盐传感器设计

李新民, 罗学科, 李文, 陈梦凡

北京化工大学学报(自然科学版) ›› 2020, Vol. 47 ›› Issue (6) : 79-84.

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北京化工大学学报(自然科学版) ›› 2020, Vol. 47 ›› Issue (6) : 79-84. DOI: 10.13543/j.bhxbzr.2020.06.010
机电工程和信息科学

基于颜色检测的亚硝酸盐传感器设计

  • 李新民1, 罗学科1,2, 李文1, 陈梦凡1
作者信息 +

Design of a nitrite sensor based on colorimetry

  • LI XinMin1, LUO XueKe1,2, LI Wen1, CHEN MengFan1
Author information +
文章历史 +

摘要

针对水资源中亚硝酸含量自动连续在线检测系统的经济适用性、准确性和便携性要求,基于比色法原理,提出一种非接触式的液相溶解亚硝酸盐浓度检测方法。通过颜色检测设备对反应后溶液颜色进行识别,建立检测信号和亚硝酸盐浓度之间的回归方程。实验结果表明:在5~30℃的环境下,该传感器具有良好的稳定性,测定系数R2为0.998 9,相对误差的最大值为5.12%,相对标准偏差的最大值为6.77%;水中亚硝酸盐检测传感器所测数据与商用传感器检测数据的最大相对误差为2.76%。该传感器成本低、结构简单、响应时间短,适用于低浓度亚硝酸盐的快速检测。

Abstract

In view of the economic applicability, accuracy and portability of intelligent automatic continuous on-line determination systems for nitrite concentration in water resources, a non-contact liquid phase method for determination of dissolved nitrite concentration based on the colorimetric-principle has been proposed. The color of the solution after the reaction was determined by a colorimeter device, and a regression equation between the detection signal and the concentration of nitrite was established. The experimental results show that in the temperature range 5-30℃, the sensor has good stability, the coefficient of determination R2 is 0.998 9, the maximum value of the relative error is 5.12%, and the maximum value of the relative standard deviation (RSD) is 6.77%. The maximum relative error between the measured data of the liquid nitrite detection sensor and a commercial sensor was 2.76%. The sensor has low cost, a simple structure and fast response time, making it suitable for the rapid determination of low nitrite concentrations.

关键词

比色法 / 亚硝酸盐 / 经济性 / 颜色检测

Key words

colorimetric method / nitrite / economy / color detection

引用本文

导出引用
李新民, 罗学科, 李文, 陈梦凡. 基于颜色检测的亚硝酸盐传感器设计[J]. 北京化工大学学报(自然科学版), 2020, 47(6): 79-84 https://doi.org/10.13543/j.bhxbzr.2020.06.010
LI XinMin, LUO XueKe, LI Wen, CHEN MengFan. Design of a nitrite sensor based on colorimetry[J]. Journal of Beijing University of Chemical Technology, 2020, 47(6): 79-84 https://doi.org/10.13543/j.bhxbzr.2020.06.010

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基金

国家自然科学基金(51205005);北京市科技创新服务能力建设项目(PXM2017-014212-000013)
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