Preparation of Co, Fe bimetallic materials supported on carbon nanotubes material and its application to rutin
Synthetic Metals, ISSN: 0379-6779, Vol: 287, Page: 117087
2022
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Article Description
Existing electrochemical sensors generally possess limited sensitivity, which necessitates the use of high-cost materials such as precious metals and enzymes. Therefore, the development of electrochemical sensors that have low synthesis cost, short detection time, simple operating process, high sensitivity and non-precious metals is highly desirable for establishing modern and more efficient electrochemical analysis methods. Herein, we used sodium borohydride reduction method to load Fe and Co onto multi-walled carbon nanotubes (Co,Fe/MWCNT). The successful doping of two metals exposes a large number of active sites in the material and increases the effective area. The morphology and elemental composition of the composite material were determined, and the material was used to modify a glassy carbon electrode for the construction of a hypersensitive electrochemical sensor. Subsequently, the electrochemical behavior of rutin on the constructed sensor was investigated under optimum conditions. The reduction peak current and concentration of rutin were found to exhibit a good linear relationship within the concentration ranges 8 × 10 −4 –8 × 10 −3 µmol/L (R 2 = 0.998), 1 × 10 −2 –0.1 µmol/L (R 2 = 0.996), and 1–200 µmol/L (R 2 = 0.998). The electrode also showed good reproducibility and a low limit of detection of 2.8 × 10 −4 µmol/L (3S 0 /S). Importantly, the sensor was successfully applied for the measurement of rutin content in tablet and urine. Thus, an effective analytical platform for rutin determination during the analysis of real drug and biological samples was developed.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0379677922000819; http://dx.doi.org/10.1016/j.synthmet.2022.117087; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85128996918&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0379677922000819; https://dx.doi.org/10.1016/j.synthmet.2022.117087
Elsevier BV
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