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Analytical Tool for Determination of traces of Cu (II)

机译:测定痕量铜的分析工具

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Heavy metals are widely existent in the contaminated environments. Copper is an essential metal for plants, microorganisms, animals and human beings to perform specific biological functions. As a toxicant at elevated levels of biologically available form, it produces a physiological response. Hence there is a need for rapid and sensitive methods for the analytical determination of copper. The aim of this article is to propose a rapid, selective and sensitive method for the determination of trace amounts copper (II). We aim to develop paptodes based on RGB analysis for copper determination and removal. A new optical analytical method, “digital RGB Analysis” is proposed instead of the conventional optical method, “spectrophotometry”. MATLAB image processing tool can transform the color information into digital RGB values that can be treated as analytical information. The Paper optode has been prepared by immobilizing resorcinol and oxalic acid 1:1 solution on chromatographic (TLC) strip and heating for 15min at 80-900C. The obtained color pattern was analyzed using image processing tool of MATLAB software to determine copper (II). All parameters affecting intensity on optode have been optimized. The proposed sensor was linear in the range 0.012-8.4μg mL-1 {12 μL of 1-700 μg mL-1). The minimum detection limit was found 15ng mL-1.The proportionality in intensity of the spot color on the optodes loaded with varying amounts of copper suggests its potential applications for environmental monitoring. The paptode can also be used for pollutant check at home. Thus the paper optode has great potential for this purpose. Key Words: MATLAB, RGB analysis, Heavy metals, optical analytical method, TLC strip.
机译:重金属在受污染的环境中广泛存在。铜是植物,微生物,动物和人类执行特定生物学功能的必需金属。作为高水平生物可利用形式的有毒物质,它会产生生理反应。因此,需要用于分析铜的快速而灵敏的方法。本文的目的是提出一种测定痕量铜(II)的快速,选择性和灵敏的方法。我们的目标是开发基于RGB分析的铜粉以确定和去除铜。提出了一种新的光学分析方法“数字RGB分析”,而不是传统的光学方法“分光光度法”。 MATLAB图像处理工具可以将颜色信息转换为可以视为分析信息的数字RGB值。通过将间苯二酚和草酸1:1溶液固定在色谱(TLC)试纸上,并在80-900°C下加热15分钟,可以制备纸制光电二极管。使用MATLAB软件的图像处理工具分析获得的颜色图案以确定铜(II)。已经优化了影响光电二极管强度的所有参数。所建议的传感器在0.012-8.4μgmL-1范围内为线性(12μL为1-700μgmL-1)。最低检出限为15ng mL-1。在负载不同数量铜的光电二极管上,专色强度的比例成正比,表明其在环境监测中的潜在应用。木瓜也可以在家中用于污染物检查。因此,纸张光电二极管具有巨大的潜力。关键词:MATLAB,RGB分析,重金属,光学分析方法,TLC条。

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