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Modified graphene oxide sensors for ultra-sensitive detection of nitrate ions in water

机译:改进的氧化石墨烯传感器用于超灵敏地检测水中的硝酸根离子

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摘要

Nitrate ions is a very common contaminant in drinking water and has a significant impact on the environment, necessitating routine monitoring. Due to its chemical and physical properties, it is hard to directly detect nitrate ions with high sensitivity in a simple and inexpensive manner. Herein with amino group modified graphene oxide (GO) as a sensing element, we show a direct and ultra-sensitive method to detect nitrate ions, at a lowest detected concentration of 5 nM in river water samples, much lower than the reported methods based on absorption spectroscopy. Furthermore, unlike the reported strategies based on absorption spectroscopy wherein the nitrate concentration is determined by monitoring an increase in aggregation of gold nanoparticles (GNPs), our method evaluates the concentration of nitrate ions based on reduction in aggregation of GNPs for monitoring in real samples. To improve sensitivity, several optimizations were performed, including the assessment of the amount of modified GO required, concentration of GNPs and incubation time. The detection methodology was characterized by zeta potential, TEM and SEM. Our results indicate that an enrichment of modified GO with nitrate ions contributed to excellent sensitivity and the entire detection procedure could be completed within 75 min with only 20 μl of sample. This simple and rapid methodology was applied to monitor nitrate ions in real samples with excellent sensitivity and minimum pretreatment. The proposed approach paves the way for a novel means to detect anions in real samples and highlights the potential of GO based detection strategy for water quality monitoring.
机译:硝酸根离子是饮用水中非常常见的污染物,会对环境产生重大影响,因此需要进行常规监测。由于其化学和物理性质,难以以简单且廉价的方式直接以高灵敏度直接检测硝酸根离子。在本文中,以氨基修饰的氧化石墨烯(GO)为传感元件,我们展示了一种直接和超灵敏的方法来检测硝酸根离子,该方法在河水样品中的最低检测浓度为5 nM,远低于基于该方法的报道方法。吸收光谱。此外,不同于已报道的基于吸收光谱的策略(其中硝酸盐浓度是通过监测金纳米颗粒(GNPs)聚集的增加来确定的),我们的方法根据GNP聚集的减少来评估硝酸根离子的浓度,以便在实际样品中进行监测。为了提高灵敏度,进行了一些优化,包括评估所需修饰GO的量,GNP的浓度和孵育时间。该检测方法的特征在于ζ电势,TEM和SEM。我们的结果表明,硝酸盐离子对修饰GO的富集有助于提高灵敏度,整个检测过程仅需20μl样品即可在75分钟内完成。这种简单而快速的方法被应用于以优异的灵敏度和最少的预处理监测实际样品中的硝酸根离子。所提出的方法为检测真实样品中阴离子的新方法铺平了道路,并强调了基于GO的水质监测检测策略的潜力。

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