基于纳米金粒子比色法的汞离子检测方法
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国家重点研发计划项目(2017YFE0122100)


Determination of Hg2+ Based on Gold Nanoparticle Colorimetry
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    摘要:

    提出了一种基于纳米金粒子比色法的汞离子检测方法,采用铋试剂-Ⅱ修饰的纳米金粒子胶体悬浮液检测汞离子。汞离子与铋试剂-Ⅱ选择性配位,使纳米金粒子胶体悬浮液反团聚,汞离子浓度与溶液吸光度呈一定的线性关系,线性范围为0.05μg/L~1mg/L,相对标准偏差为1.98%~3.52%。在实验条件下,采用Savitzky-Golay一阶导数对连续投影算法提取的特征波长进行了预处理,通过线性支持向量机回归模型进行建模与分析,该模型具有良好的自预测能力和实际预测能力。校正集的相关系数为0.9685,均方根误差为0.0412mg/L,验证集的相关系数为0.9600,均方根误差为0.0434mg/L。本文方法为提高汞离子浓度的检测效率提供了有效支持。

    Abstract:

    Mercury ion concentration is one of the key parameters affecting water quality environment, and a method for detecting mercury ion based on gold nanoparticle colorimetry was proposed. The gold nanoparticle colloidal suspension modified by bismuth reagent-Ⅱ was used to detect mercury ion. The mercury ion selectively coordinated with bismuth reagent-Ⅱ, which made the gold nanoparticle colloidal suspension anti agglomerate. There was a certain linear relationship between the concentration of mercury ion and the absorbance of the solution, the linear range was 0.05μg/L~1mg/L, and the relative standard deviation was 1.98%~3.52%. Under the experimental conditions, the characteristic wavelengths extracted from successive projection algorithm were pretreated by Savitzky-Golay first derivative. Through linear support vector machine regression model modeling and analysis, the model had good self prediction ability and practical prediction ability. The correlation coefficient of the calibration set was 0.9685, the root mean square error of calibration set was 0.0412mg/L, the correlation coefficient of the validation set was 0.9600, and the root mean square error of validation set was 0.0434mg/L. Therefore, the method based on gold nanoparticle colorimetry can provide effective support for improving the detection efficiency of mercury ion concentration. 

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郭昱辰,刘春红,叶荣珂,孔庆辰,张玉泉.基于纳米金粒子比色法的汞离子检测方法[J].农业机械学报,2020,51(s2):382-387. GUO Yuchen, LIU Chunhong, YE Rongke, KONG Qingchen, ZHANG Yuquan. Determination of Hg2+ Based on Gold Nanoparticle Colorimetry[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(s2):382-387.

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  • 收稿日期:2020-08-06
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  • 在线发布日期: 2020-12-10
  • 出版日期: 2020-12-10