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A Simple Over-Oxidized Molecularly Imprinted Polypyrrole for the Sensitive Detection of Dopamine in Human Serum
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作者 Sarra Slimi Chama Mabrouk +1 位作者 houcine barhoumi Nicole Jaffrezic-Renault 《Journal of Sensor Technology》 CAS 2022年第3期33-44,共12页
A simple electrochemical sensor for dopamine detection, is based on molecularly imprinted and electropolymerized over-oxidized polypyrrole (OPPy). The MIP-based electrode is obtained by electrocopolymerization of pyrr... A simple electrochemical sensor for dopamine detection, is based on molecularly imprinted and electropolymerized over-oxidized polypyrrole (OPPy). The MIP-based electrode is obtained by electrocopolymerization of pyrrole (0.1 M) in the presence of the template molecular (dopamine, DA) (10<sup>-3</sup> M). The square wave voltammetry (SWV) is used for the detection of dopamine in buffer solution. The current peak obtained at the MIP electrode was proportional to the logarithm of the DA concentration in the range of 10<sup>-11</sup> to 5 × 10<sup>-8</sup> M with a detection limit of 10<sup>-11</sup> M. The proposed sensor was used for the detection of DA in spiked blood serum, satisfactory results were obtained. 展开更多
关键词 DOPAMINE Molecularly Imprinted Polymers Over-Oxidized Polypyrrole Square Wave Voltammetry
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Characterization and Classification of Groundwater from Wells Using an Electronic Tongue (Kairouan, Tunisia) 被引量:1
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作者 Khawla Sghaier houcine barhoumi +2 位作者 Abderrazak Maaref Maryam Siadat Nicole Jaffrezic-Renault 《Journal of Water Resource and Protection》 2011年第7期531-539,共9页
A sensor array comprising 9 potentiometric chemical sensors and some pattern recognition tools for the data processing has been applied in order to characterize the groundwater in the plain of Kairouan Region (Tunisia... A sensor array comprising 9 potentiometric chemical sensors and some pattern recognition tools for the data processing has been applied in order to characterize the groundwater in the plain of Kairouan Region (Tunisia). A total of 17 groundwater samples were collected from three different villages and analyzed for their chemical components. Nine chemical parameters were determined: Potassium, Sodium, Calcium, Ammonium, Cadmium, Chlorides, Nitrates, Fluoride and pH. Multi-sensor responses measured in each water sample were diagnosed by Principal Component Analysis (PCA) and Cluster Analysis (CA). PCA is a procedure for reducing data redundancy. CA is used to detect spatial similarity among sampling sites. This methodology is simple, rapid and the obtained results demonstrate that the electronic tongue technique based on the sensor array combined with pattern recognition method could be a useful tool for the characterization and the classification of wells water samples. 展开更多
关键词 Electronic TONGUE GROUNDWATER PATTERN Recognition TOOLS PCA CA
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