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- W4223936532 abstract "Nutrients based on nitrogen elements such as nitrite and nitrate have long been served as food preservatives in the food industry, as fertilizer in agriculture, and as color formers and rust inhibitors in the chemical industry. Due to the extensive nitrite and nitrate usage, the leakage or pollution discharge resulted in a large amount wasted in water sources and soil. As they are highly toxic inorganic pollutant, excess consumption and nitrite exposure can trigger several diseases and damage human health. As a consequence, an urgent need to develop a particular device for detecting and monitoring the presence of nitrite, specifically to measure drinking water quality and control remediation procedures. Owing to the merits of graphene, including broad theoretical surface area, high conductivity at room temperature, and a wider electrochemical window, graphene now serves as an excellent host material for anchoring nanomaterials to enhance the performance of electrochemical applications. There has been rapid progress in developing nitrite and nitrate sensors based on an electrochemical approach with the assistance of graphene-based nanocomposite material as the electrocatalysts. The electrically conductive graphene has high surface areas that allow the deposition of high-density analyte molecules, facilitating better selectivity and high sensitivity compared to other materials. The present review provides an overview on the recent development of electrochemical sensors for detecting nitrates and nitrites using graphene-based nanocomposites as electrocatalysts based on selective reports." @default.
- W4223936532 created "2022-04-19" @default.
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- W4223936532 date "2022-06-01" @default.
- W4223936532 modified "2023-10-15" @default.
- W4223936532 title "Recent progress in nitrates and nitrites sensor with graphene-based nanocomposites as electrocatalysts" @default.
- W4223936532 cites W1972596874 @default.
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- W4223936532 cites W1977263958 @default.
- W4223936532 cites W1985788901 @default.
- W4223936532 cites W1990920255 @default.
- W4223936532 cites W1993481217 @default.
- W4223936532 cites W2008171784 @default.
- W4223936532 cites W2012577954 @default.
- W4223936532 cites W2012632624 @default.
- W4223936532 cites W2014935667 @default.
- W4223936532 cites W2034202955 @default.
- W4223936532 cites W2044306973 @default.
- W4223936532 cites W2045507079 @default.
- W4223936532 cites W2047691313 @default.
- W4223936532 cites W2050494880 @default.
- W4223936532 cites W2050973652 @default.
- W4223936532 cites W2052893274 @default.
- W4223936532 cites W2055409564 @default.
- W4223936532 cites W2057626905 @default.
- W4223936532 cites W2058122340 @default.
- W4223936532 cites W2066520631 @default.
- W4223936532 cites W2073523350 @default.
- W4223936532 cites W2075704828 @default.
- W4223936532 cites W2094741727 @default.
- W4223936532 cites W2098820896 @default.
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- W4223936532 cites W2121235203 @default.
- W4223936532 cites W2122897674 @default.
- W4223936532 cites W2133148691 @default.
- W4223936532 cites W2150691129 @default.
- W4223936532 cites W2155167733 @default.
- W4223936532 cites W2161631359 @default.
- W4223936532 cites W2162057985 @default.
- W4223936532 cites W2191226656 @default.
- W4223936532 cites W2237641371 @default.
- W4223936532 cites W2346669814 @default.
- W4223936532 cites W24393221 @default.
- W4223936532 cites W2503146442 @default.
- W4223936532 cites W2515044310 @default.
- W4223936532 cites W2519706282 @default.
- W4223936532 cites W2521411119 @default.
- W4223936532 cites W2524227772 @default.
- W4223936532 cites W2525853414 @default.
- W4223936532 cites W2555718199 @default.
- W4223936532 cites W2570467237 @default.
- W4223936532 cites W2595961728 @default.
- W4223936532 cites W2605774518 @default.
- W4223936532 cites W2608792759 @default.
- W4223936532 cites W2618773610 @default.
- W4223936532 cites W2619987206 @default.
- W4223936532 cites W2625269296 @default.
- W4223936532 cites W2783587289 @default.
- W4223936532 cites W2791582490 @default.
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- W4223936532 cites W2809731885 @default.
- W4223936532 cites W2885030239 @default.
- W4223936532 cites W2889150479 @default.
- W4223936532 cites W2894118774 @default.
- W4223936532 cites W2898209040 @default.
- W4223936532 cites W2940560576 @default.
- W4223936532 cites W2949352891 @default.
- W4223936532 cites W2953563541 @default.
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- W4223936532 doi "https://doi.org/10.1016/j.teac.2022.e00162" @default.
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