Development of extraction and analytical methods of nitrite ion from food samples: Microchip electrophoresis with a modified electrode

Muhammad J.A. Shiddiky, Kyung Sun Lee, Jungik Son, Deog Su Park, Yoon Bo Shim

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22 Citations (Scopus)


Two simple and fast methods for the extraction of the nitrite ion (NOJ) from food samples have been developed. The methods were characterized by UV-visible spectroscopic and electrochemical measurements, and their performance for NO2- extraction was compared with a standard method. The extraction methods yielded relative recoveries between 100 and 120% with good reproducibility of 3.9% (RSD, n = 4) in UV-visible experiments. Microchip electrophoresis with electrochemical detection (MCE-ED) coupled with a copper (3-mercaptopropyl)trimethoxysilane [Cu(II)-MPS] complex-modified carbon paste electrode (CPE) has been employed to detect NO2- in extracted samples. The Cu(II)-MPS complex was synthesized and characterized by voltammetry, XPS, and FT-IR analyses. Experimental parameters affecting the separation and detection performances of the MCE-ED method were assessed and optimized. The potential for the electrocatalytic reduction of NO 2- for MCE-ED was found to be -190 mV (vs Ag/AgCI). When extracted food samples were analyzed by the MCE-ED method, a reproducible response for the NO2- reduction (RSD of 4.3%) at the modified-CPE reflected the negligible electrode fouling. A wide dynamic range of 1.0-160 ppm was observed for analyzing standard NO2- with a sensitivity of 0.05106 ± 0.00141, and the detection limit, based on S/N = 3, was found to be 0.35 ± 0.05 ppm. No apparent interference from NO3-, other inorganic ions, and biological compounds was observed under the optimal experimental conditions. A standard addition method for real samples showed wide concentration ranges of 1.10-155 and 1.2-150 ppm for analyzing NOJ in ham and sausage samples, respectively.

Original languageEnglish
Pages (from-to)4051-4057
Number of pages7
JournalJournal of Agricultural and Food Chemistry
Issue number10
Publication statusPublished - 27 May 2009


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