Alizadeh Taher, Ganjali Mohammad Reza, Norouzi Parviz, Zare Mashallah, Zeraatkar Ali
Department of Applied Chemistry, Faculty of Science, University of Mohaghegh Ardabili, Ardabil, Iran. taa
Talanta. 2009 Oct 15;79(5):1197-203. doi: 10.1016/j.talanta.2009.02.051. Epub 2009 Mar 9.
By using a molecularly imprinted polymer (MIP) as a recognition element, the design and construction of a high selective voltammetric sensor for para-nitrophenol was formed. Para-nitrophenol selective MIP and a non-imprinted polymer (NIP) were synthesized, and then used for carbon paste (CP) electrode preparation. The MIP-CP electrode showed greater recognition ability in comparison to the NIP-CP. It was shown that electrode washing after para-nitrophenol extraction led to enhanced selectivity, without noticeably decreasing the sensitivity. Some parameters affecting sensor response were optimized and a calibration curve was plotted. A dynamic linear range of 8x10(-9) to 5x10(-6) mol L(-1) was obtained. The detection limit of the sensor was calculated as 3x10(-9) mol L(-1). Thus, this sensor was used successfully for the para-nitrophenol determination in different water samples.
通过使用分子印迹聚合物(MIP)作为识别元件,构建了一种用于对硝基苯酚的高选择性伏安传感器。合成了对硝基苯酚选择性MIP和非印迹聚合物(NIP),然后用于制备碳糊(CP)电极。与NIP-CP相比,MIP-CP电极表现出更强的识别能力。结果表明,对硝基苯酚萃取后对电极进行清洗可提高选择性,且灵敏度无明显降低。优化了影响传感器响应的一些参数并绘制了校准曲线。获得了8×10⁻⁹至5×10⁻⁶ mol L⁻¹的动态线性范围。该传感器的检测限计算为3×10⁻⁹ mol L⁻¹。因此,该传感器成功用于不同水样中对硝基苯酚的测定。