2022
DOI: 10.1002/jsf2.85
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A novel cellulosic non‐enzymatic nanosensor based on carbon shell silver (Ag@C) nanoparticles for colorimetric detection of Chlorpyrifos in agricultural products

Abstract: Background: The precise detection and quantification of organophosphorus pesticides are highly required to ensure food safety. The non-enzymatic nanosensor technology has appeared as an efficient method to replace conventional analytical techniques of pesticide detection. The utilization of carbon-based nanomaterials and metal nanoparticles has shown great potential to develop non-enzymatic nanosensors for the sensitive and selective sensing of food contaminants.Results: In this study, bifunctional carbon shel… Show more

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Cited by 4 publications
(2 citation statements)
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“…The versatility of BSA-AuNCs can be applied in the environmental and food safety fields. A similar non-enzymatic nanosensor has been developed using carbon-shell silver (Ag@C) nonmaterials for the colorimetric detection of organophosphorus pesticides, including CP in agricultural products (Bilal et al, 2022). Cellulose nonenzymatic nanosensors detect CP with a detection limit of 0.097 ng/mL and quantification limit of 0.293 ng/mL.…”
Section: Nanobiosensors In the Detection Of Pesticidesmentioning
confidence: 99%
“…The versatility of BSA-AuNCs can be applied in the environmental and food safety fields. A similar non-enzymatic nanosensor has been developed using carbon-shell silver (Ag@C) nonmaterials for the colorimetric detection of organophosphorus pesticides, including CP in agricultural products (Bilal et al, 2022). Cellulose nonenzymatic nanosensors detect CP with a detection limit of 0.097 ng/mL and quantification limit of 0.293 ng/mL.…”
Section: Nanobiosensors In the Detection Of Pesticidesmentioning
confidence: 99%
“…These noble metals act as electron traps by forming Schottky barriers at the TiO 2 -metal junctions. This promotes efficient interfacial charge transfer and delays the recombination of electron-hole pairs, leading to improved photocatalytic performance (Harikishore et al, 2014;Endo et al, 2018;Yaqoob et al, 2020;Bilal et al, 2022). 4.…”
Section: Introductionmentioning
confidence: 99%