基于电化学检测重金属系统构建
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摘要
基于差分脉冲伏安法和线性扫描伏安法检测重金属原理,结合LabVIEW虚拟仪器技术,自主开发了重金属在线检测系统。该系统主要由电化学检测系统、溶液搅拌系统、自动滴加系统、清洗系统以及LabVIEW应用软件操作系统5部分组成。使用步进电机控制搅拌系统确保溶液搅拌速度的稳定性,其一致性结果要高于普通磁力搅拌器;用注射泵向电解池内滴加缓冲液和标准液。对样品镉离子检验中,相关系数达到了0.9998,结果满足现场检验的稳定性和准确性的要求。该系统操作界面简单、自动化程度高,适用于低成本的现场检测与数据分析。
Based on the differential pulse volt ampere method and the principle of detecting heavy metals by the linear sweep volt ampere method,and in combination with the LabVIEW virtual instrument technology,the heavy metal on-line detection system is independently developed.The system is mainly composed of the following five parts:the electrochemical detection system,solution agitation system,automatic dropping system,cleaning system and LabVIEW application software operating system.A stepper motor is used to control the stirring system to ensure the stability of solution stirring speed,and the consistency result is higher than that of the common magnetic stirrer.The buffer solution and standard liquid are added to the electrolytic cell by the injection pump,the correlation coefficient reached 0.999 8 in the detection of cadmium ion,and the results meet the requirements of the stability and accuracy of the field detection.The operating interface of this system is simple,and its automation is high,which is suitable for the low cost field detection and data analysis.
Based on the differential pulse volt ampere method and the principle of detecting heavy metals by the linear sweep volt ampere method,and in combination with the LabVIEW virtual instrument technology,the heavy metal on-line detection system is independently developed.The system is mainly composed of the following five parts:the electrochemical detection system,solution agitation system,automatic dropping system,cleaning system and LabVIEW application software operating system.A stepper motor is used to control the stirring system to ensure the stability of solution stirring speed,and the consistency result is higher than that of the common magnetic stirrer.The buffer solution and standard liquid are added to the electrolytic cell by the injection pump,the correlation coefficient reached 0.999 8 in the detection of cadmium ion,and the results meet the requirements of the stability and accuracy of the field detection.The operating interface of this system is simple,and its automation is high,which is suitable for the low cost field detection and data analysis.
引文
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[9]邬力凡,曾周祥.废水中重金属的检测方法探究[J].化工设计通讯,2017(2):172.
[10]赖文婷,郭丽仪.食品中重金属铅、镉的电化学检测方法的研究进展[J].现代食品,2017(5):31-33.
[11]赵炎,张文,万浩,等.水环境重金属元素检测系统的智能化设计[J].传感技术学报,2012(11):1473-1478.
[12]范蓝志,邢雅周,李宗阳,等.便携式土壤重金属检测仪设计[J].黑龙江科技信息,2017(15):62-63.
[13]王志强,王辉,张志豪,等.基于电化学和虚拟仪器的土壤重金属检测系统研究[J].农业机械学报,2015(1):119-126.
[14]闫珂,刘亚芹,魏福祥.食品中重金属铅、镉电化学检测的前处理技术[J].河北科技大学学报,2015(2):170-175.
[15]赵学亮,史云,崔晓.水质重金属元素自动识别软件算法实现[J].河南科技大学学报(自然科学版),2014(1):53-57,5.
[2]田雅琴,徐腾,张国梅.紫外分光光度法测定8种中药材中重金属的含量[J].中国药房,2008(33):2609-2610.
[3]KoikeY,Hagiwara K,Nakamura T.Enhancement of the atomic absorbance of Cr,Zn,Cd,and Pb in metal furnace atomic absorption spectrometry using absorption tubes[J].Analytical Chemistry Research,2017(11):9-12.
[4]Gilmutdinov A K.Atomic Absorption,Theory[M]//Lindon J C,Tranter G E O,Koppenaal D W.Encyclopedia of Spectroscopy and Spectrometry.3ded.Academic Press,2017.
[5]Hill S J,Fisher A S.Atomic Fluorescence,Methods and Instrumentation[M].//Lindon J C,Tranter G E O,Koppenaal D W.Encyclopedia of Spectroscopy and Spectrometry.3ded.Academic Press,2017.
[6]Zhang J G,Fang J L,Duan X C.Determination of cadmium in water samples by fast pyrolysis–chemical Vapor generation atomic fluorescence spectrometry[J].Spectrochim Acta,Part B:Atomic Spectroscopy,2016(122):52-55.
[7]Gumpu M B,Sethuraman S,Krishnan U M,et al.A review on detection of heavy metal ions in water–An electrochemical approach[J].Sensors and Actuators B:Chemical,2015(213):515-533.
[8]李冰,杨红霞.电感耦合等离子体质谱技术最新进[J].分析试验室,2003(1):94-100.
[9]邬力凡,曾周祥.废水中重金属的检测方法探究[J].化工设计通讯,2017(2):172.
[10]赖文婷,郭丽仪.食品中重金属铅、镉的电化学检测方法的研究进展[J].现代食品,2017(5):31-33.
[11]赵炎,张文,万浩,等.水环境重金属元素检测系统的智能化设计[J].传感技术学报,2012(11):1473-1478.
[12]范蓝志,邢雅周,李宗阳,等.便携式土壤重金属检测仪设计[J].黑龙江科技信息,2017(15):62-63.
[13]王志强,王辉,张志豪,等.基于电化学和虚拟仪器的土壤重金属检测系统研究[J].农业机械学报,2015(1):119-126.
[14]闫珂,刘亚芹,魏福祥.食品中重金属铅、镉电化学检测的前处理技术[J].河北科技大学学报,2015(2):170-175.
[15]赵学亮,史云,崔晓.水质重金属元素自动识别软件算法实现[J].河南科技大学学报(自然科学版),2014(1):53-57,5.