2019 16th International Multi-Conference on Systems, Signals &Amp; Devices (SSD) 2019
DOI: 10.1109/ssd.2019.8893191
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Investigation of Laser Induced Graphene Electrodes Modified by MWNT/AuNPs for Detection of Nitrite

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Cited by 16 publications
(5 citation statements)
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“…When nitrates reach the food chain from groundwater, surface water, and other sources, they can negatively affect the human body. If infants consume too much nitrate via their drinking water, they may develop “blue baby” disease or methemoglobinemia, which is caused by the endogenous conversion of nitrate to nitrite [ 10 , 35 ].…”
Section: Water Contaminantsmentioning
confidence: 99%
“…When nitrates reach the food chain from groundwater, surface water, and other sources, they can negatively affect the human body. If infants consume too much nitrate via their drinking water, they may develop “blue baby” disease or methemoglobinemia, which is caused by the endogenous conversion of nitrate to nitrite [ 10 , 35 ].…”
Section: Water Contaminantsmentioning
confidence: 99%
“…The hydrophilic oxygen groups and multiple aromatic parts in GO could also assist in obtaining a stable GO-CNT complex with a strong 𝜋-𝜋 stacking interaction. Considering the catalytic activity of various metals and their alloys, [39][40][41][42][43][44] the LIG electrode modified by the carbonbased nanomaterials is further decorated with metal nanoparticles followed by laser treatment for enhanced electrochemical properties.…”
Section: Nanocomposite Modificationmentioning
confidence: 99%
“…Nowadays, laser‐induced graphene electrode (LIG), modified with diverse nanocomponents with AuNPs, is generating promising results in nitrite detection. Nasraoui and co‐workers [167] focused on a cost‐effective engraving approach which induced electro‐conductive pathways onto a Kapton polymer substrate and amenable to implementation in nitrite sensing. In this study, LIG electrodes were modified by fabricating with AuNPs and MWCNT.…”
Section: Electrochemical Detection Of Nitrite Based On Au Nanomaterialsmentioning
confidence: 99%