Constitution of a visual detection system for lead(II) on polydiacetylene-glycine embedded nanofibrous membranes

Constitution of a visual detection system for lead(II) on polydiacetylene-glycine embedded nanofibrous membranes
复制标题

聚二乙炔-甘氨酸包埋纳米纤维膜上铅(II)视觉检测系统的构建

DOI:
10.1039/c5ta00608b
复制
发表时间:
2015-01-01
影响因子:
11.9
通讯作者:
Yu, Jianyong
Yu, Jianyong
中科院分区:
材料科学2区
文献类型:
--
作者:
Li, Yan;Wang, Lihuan;Yu, Jianyong

文献摘要

被引文献

相似文献

为了开发类似ph值纸的铅离子(Pb2+)传感材料,我们展示了一种比色条,它依赖于二氧化硅纳米颗粒(NP)修饰的聚二乙炔嵌入聚丙烯腈纳米纤维膜(PAN NFM),在Pb2+的作用下,它经历了一个明亮的蓝到红的颜色转变以及“开启”荧光。将氨基酸(甘氨酸)头基引入超分子组装的10,12-五代二甲酸中,得到Pb2+诱导的铬共轭聚合物,该聚合物可快速光聚合,对Pb2+反应迅速,并且具有特异性可识别性。此外,当SiO2纳米粒子在条带中的含量达到0.5 wt%时,被证明是一种有效的灵敏度促进剂。在这样的理解下,0.24 μ M Pb2+在环境温度下引起的颜色变化可以很容易地被肉眼感知,这表明我们的条带与之前的方法相比具有优势,并且值得注意的是,我们的条带也可以在2分钟内产生荧光信号。此外,通过智能手机自动读出的条带图像和RGB(红绿蓝)数字参数通过主成分分析进行统计处理,然后用于制作标准曲线和定量Pb2+浓度。这种分析和定量Pb2+的方法避免了耗时的样品制备、昂贵的实验室技术和执行传统分析方法所需的专业人员。
With the aim to develop pH-paper-like lead ion (Pb2+) sensing materials, we demonstrate a colorimetric strip, which relies on a SiO2 nanoparticle (NP) decorated polydiacetylene embedded polyacrylonitrile nanofibrous membrane (PAN NFM), that undergoes a brilliant blue-to-red color transition as well as 'Turn-On' fluorescence upon incubation with Pb2+. The introduction of an amino acid (glycine) headgroup into a supramolecularly assembled 10,12-pentacosadiynoic acid results in a Pb2+-induced chromic conjugated polymer that is quickly photopolymerizable, rapidly responsive to Pb2+ and specifically identifiable. Moreover, the SiO2 NPs are certified as an efficient sensitivity promoter when their content reaches 0.5 wt% in the strip. With this understanding, the color change that is caused by 0.24 mu M Pb2+ at ambient temperature can be easily perceived by the naked eye, which indicates the superiority of our strip compared with previous approaches, and it is also noteworthy that a fluorescent signal could also be produced in 2 min. Furthermore, RGB (red-green-blue) digital parameters obtained from images of the strips and automatic read outs via a smartphone were processed statistically through principal component analysis and then used to elaborate the standard curve and quantify Pb2+ concentration. This methodology for assaying and quantifying Pb2+ avoids time-consuming sample preparation, expensive laboratory techniques, and specialized personnel required to carry out conventional analytical methods.