Hassanvand Hatam, Hashemi Payman
Department of Chemistry, Faculty of Science, Lorestan University.
Anal Sci. 2018;34(5):567-570. doi: 10.2116/analsci.17P577.
A highly sensitive and selective colorimetric method was developed for the detection of CN ion based on the surface plasmon resonance of silver nanoparticles (AgNPs) embedded in a transparent agarose matrix. The AgNPs were prepared by chemical reduction of Ag in the presence of sodium borohydride as the reducing agent and agarose as the stabilizing agent. Characterization of the nanoparticles was performed with UV/Vis spectrometry and scanning electron microscopy. A calibration curve was derived for the absorbance of the sensor at 410 nm, that was linear over a range from 1.5 to 120 μmol L with an R value of 0.998 (n = 8). A detection limit of 0.69 μmol L and a relative standard deviation of 3.8% were obtained for CN for 8 replicates. A reproducibility of about 6.1% was also obtained for four batches of the sensor. The sensor showed excellent selectivity for CN ion at the presence of a number of interfering ions with concentrations exceeding 50 times of that of the analyte. The results showed successful application of the AgNPs-agarose as a colorimetric sensor for easy and selective monitoring of CN ion in aqueous solutions.
基于嵌入透明琼脂糖基质中的银纳米颗粒(AgNPs)的表面等离子体共振,开发了一种用于检测CN离子的高灵敏度和选择性比色法。AgNPs通过在硼氢化钠作为还原剂和琼脂糖作为稳定剂的存在下化学还原Ag来制备。用紫外/可见光谱和扫描电子显微镜对纳米颗粒进行表征。得出传感器在410nm处吸光度的校准曲线,其在1.5至120μmol/L范围内呈线性,R值为0.998(n = 8)。对CN进行8次重复测量,检测限为0.69μmol/L,相对标准偏差为3.8%。四批传感器的重现性约为6.1%。在存在多种浓度超过分析物浓度50倍的干扰离子的情况下,该传感器对CN离子表现出优异的选择性。结果表明,AgNPs-琼脂糖作为比色传感器成功应用于水溶液中CN离子的简便、选择性监测。