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A Glassy Carbon Electrode Modified with Cellulose Nanofibrils from Ammophila arenaria for the Sensitive Detection of L-Trytophan

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Journal of Sensor Technology 2024年第3期14卷 35-50页

作者： Sondes Bourigua Feriel Boussema Zayneb Jebali Houcine Barhoumi Hatem Majdoub abderrazak maaref Nicole Jaffrezic-Renault Laboratory of Advanced Materials and Interfaces Faculty of Sciences University of Monastir Monastir Tunisia Institute of Analytical Sciences University of Lyon Villeurbanne France

L-tryptophan is an essential amino acid for human health. Nanofibrillated cellulose (NFC) from marram grass (Ammophila arenaria) extracted from plants harvested in the center of Tunisia was used for the first time for the modification of a glassy carbon electrode (GCE), for the sensitive detection of L-tryptophan (Trp). After spectroscopic and morphological characterization of the extracted NFC, the GC electrode modification was monitored through cyclic voltammetry. The NFC-modified electrode exhibited good analytical performance in detecting Trp with a wide linear range between 7.5 × 10−4 mM and 10−2 mM, a detection limit of 0.2 µM, and a high sensitivity of 140.0 µA∙mM−1. Additionally, the NFC/GCE showed a good reproducibility, good selectivity versus other amino acids, uric acid, ascorbic acid, and good applicability to the detection of Trp in urine samples.

关键词： Nanofibrillated Cellulose Chitosan Chemically Modified Glassy Carbon Electrode Electrochemical Detection L-Tryptophan

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An Electrochemical Nitrite Sensor Based on a Multilayer Film of Polyoxometalate

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Journal of Sensor Technology 2013年第3期3卷 84-93页

作者： Yosra Sahraoui Sana Chaliaa abderrazak maaref Amor Haddad Nicole Jaffrezic-Renault Laboratory of Interfaces and Advanced Materials Faculty of Sciences of Monastir Monastir Tunisia Laboratory of Materials and Crystallochemistry Superior Institute of Applied Science and Technology Mahdia Tunisia University of Lyon Institute of Analytical Chemistry Villeurbanne France

In this work, we have developed an electrochemical sensor for nitrite detection, based on a polyoxometalate (POM) namely mono-lacunary keggin anion [SiW11O39]8﹣ cited as (SiW11). Electrochemical characterization of SiW11 shows two-step reduction processes, with formal potentials of ﹣0.5 V (I) and ﹣0.68 V (II). Oppositely charged polyelectrolyte (poly (allylamine hydrochloride) (PAH)) and (SiW11) were assembled alternately to modify glassy carbon electrode. The electrochemical behavior of the modified electrode was studied in detail using cyclic voltammetry (CV). The results showed that SiW11/PAH/GC electrode present good electrocatalytic activity for the reduction of nitrite. The sensor showed a dynamic range from 100 μM to 3.6 mMof nitrite and no interference from other classical anions. Experimental factors that affect electron-transfer rate in these films, such as pH effect and layers number, were systematically analyzed.

关键词： Nitrite Sensor Polyoxometalate Mono-Lacunary Keggin Anion Layer by Layer Assembly Process

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Characterization and Classification of Groundwater from Wells Using an Electronic Tongue (Kairouan, Tunisia)

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Journal of Water Resource and Protection 2011年第7期3卷 531-539页

作者： Khawla Sghaier Houcine Barhoumi abderrazak maaref Maryam Siadat Nicole Jaffrezic-Renault Laboratoire de Physique et Chimie des Interface Faculté des Sciences de Monastir 5000 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.

关键词： Electronic Tongue Groundwater Pattern Recognition Tools PCA CA

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Characterization and Classification of Groundwater from Wells Using an Electronic Tongue (Kairouan,Tunisia)

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Journal of Water Resource and Protection（水资源与保护） 2011年第7期 531-539页

作者： Khawla Sghaier Houcine Barhoumi abderrazak maaref Maryam Siadat Nicole Jaffrezic-Renault

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