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通过测量刻蚀后的三角形银纳米板“前后”RGB 图像的颜色变化来进行 Hg(II)的比色检测。

Colorimetric detection of Hg(II) by measurement the color alterations from the "before" and "after" RGB images of etched triangular silver nanoplates.

机构信息

College of Chemistry and Chemical Engineering, Xinxiang University, Xinxiang, 453003, China.

Department of Chemistry, Capital Normal University, Beijing, 100048, China.

出版信息

Mikrochim Acta. 2018 Mar 22;185(4):235. doi: 10.1007/s00604-018-2759-9.

Abstract

It is shown that triangular silver nanoplates (TAgNPs) are viable colorimetric probes for the fast, sensitive and selective detection of Hg(II). Detection is accomplished by reducing Hg(II) ions to elemental Hg so that an Ag/Hg amalgam is formed on the surface of the TAgNPs. This leads to the inhibition of the etching TAgNPs by chloride ions. Correspondingly, a distinct color transition can be observed that goes from yellow to brown, purple, and blue. The color alterations extracted from the red, green, and blue part of digital (RGB) images can be applied to the determination of Hg(II). The relationship between the Euclidean distances (EDs), i.e. the square roots of the sums of the squares of the ΔRGB values, vary in the 5 nM to 100 nM Hg(II) concentration range, and the limit of detection is as low as 0.35 nM. The color changes also allow for a visual estimation of the concentrations of Hg(II). The method is simple in that it only requires a digital camera for data acquisition and a Photoshop software for extracting RGB variations and data processing. Graphical abstract Hg detection was achieved by anti-etching of TAgNPs caused by the formation of silver amalgam, along with vivid multicolor variations from yellow to brown, purple, and eventually to be blue.

摘要

研究表明,三角形银纳米片(TAgNPs)是快速、灵敏和选择性检测 Hg(II) 的可行比色探针。检测是通过将 Hg(II) 离子还原为元素 Hg 来实现的,从而在 TAgNPs 的表面形成 Ag/Hg 汞齐。这导致氯离子对 TAgNPs 的蚀刻抑制。相应地,可以观察到从黄色到棕色、紫色和蓝色的明显颜色转变。可以将从数字(RGB)图像的红色、绿色和蓝色部分提取的颜色变化应用于 Hg(II)的测定。欧几里得距离(ED)的关系,即 RGB 值的平方和的平方根,在 5 nM 至 100 nM Hg(II)浓度范围内变化,检测限低至 0.35 nM。颜色变化还允许对 Hg(II)浓度进行直观估计。该方法简单,仅需要数码相机进行数据采集和 Photoshop 软件提取 RGB 变化和数据处理。

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