Ultrasensitive and Selective Electrochemical Detection of Dopamine Based on CuO/PVA Nanocomposite-Modified GC Electrode

Roy, Arpita; Karthiga, R.; Prabhu, S.; Prakash, Madhu; Badhusha, A. Mohamed Ismail; Ali, Huma; Katubi, Khadijah Mohammedsaleh; Islam, Md. Rabiul

doi:10.1155/2022/8755464

Cited by 11 publications

(6 citation statements)

References 32 publications

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“…The experiment was repeated three times for maintaining triplicates. The readings were taken in three different fixed directions for each replicate, and the average values were noted [11].…”

Section: Characterization Of Silvermentioning

confidence: 99%

Fabrication of Silver Nanoparticles from Ziziphus nummularia Fruit Extract: Effect on Hair Growth Rate and Activity against Selected Bacterial and Fungal Strains

Khalil

Shakeel

Gulfam

et al. 2022

Journal of Nanomaterials

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Nanoparticles are extensively used in biomedical and biotechnological research. Their large surface area, excellent physical properties, high permeability, and retention effect make them ideal for biomedical applications including diagnosis and treatment. Silver nanoparticles proved to be the safest for therapeutic uses. In the present study, silver nanoparticles (AgNPs) were prepared using various ratios of Ziziphus nummularia fruit extract and silver nitrate solution. The nanoparticles were investigated for hair growth and antibacterial and antifungal activities. Characterization of AgNPs was done by using UV-spectrophotometer, scanning electron microscope (SEM), X-ray diffractometer (XRD), thermogravimeter (TG), energy dispersive X-ray (EDX), Fourier transform infrared spectroscopy (FTIR), and master sizer. UV-spectrophotometer results showed the best ratio 10 : 10 of Z. nummularia fruit aqueous extract to silver solution for nanoparticle production at 400 to 430 nm wavelength. The size of AgNPs was 40 nm as measured by SEM. Characterization of AgNPs through EDX resulted in a silver peak at 3 keV. In contrast, differential scanning calorimetry (DSC) spectra show that the AgNPs are stable up to 160°C. The XED spectra gave 12 nm size of crystallite at 2 theta degree angle. FTIR bands for the metal oxides were recorded at 665 cm-1. Weight loss of the prepared nanoparticles was observed due to moisture loss when subjected to TGA, whereas particle size distribution 0.1 μm to 0.17 μm was recorded by the master seizer. The Z. nummularia fruit aqueous extract-mediated AgNPs were noted highly effective against Gram-positive bacteria compared to ethanolic, methanolic, chloroform, and ethyl acetate extracts of Z. nummularia fruit. The Gram-negative bacteria fungal species showed less sensitivity to AgNPs. The hair growth activity was observed to be higher for AgNPs followed by minoxidil than ethanolic and methanolic extracts of Z. nummularia fruit. These findings have concluded that Z. nummularia-AgNPs have an effective hair growth activity and exhibit several applications in distinctive biomedical and pharmaceutical industries.

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Section: Characterization Of Silvermentioning

confidence: 99%

Fabrication of Silver Nanoparticles from Ziziphus nummularia Fruit Extract: Effect on Hair Growth Rate and Activity against Selected Bacterial and Fungal Strains

Khalil

Shakeel

Gulfam

et al. 2022

Journal of Nanomaterials

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“…Electron microscopy methods are a key to determining the shape of polymeric nanoparticles and other objects whose toxicity may be determined by their form [ 16 ].…”

Section: Characterization Of Nanoparticlesmentioning

confidence: 99%

[Retracted] Fungal‐ and Algal‐Derived Synthesis of Various Nanoparticles and Their Applications

Michael

Singh

Roy

et al. 2022

Bioinorganic Chemistry and Applications

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Nanoparticles synthesis through biological mediated methods with a particular focus on the processes mediated by fungi and algae is discussed, which systematically reviews nanoparticle characterization, composition, synthesis methods, and, lastly but not least, the applications of NPs across five different categories to provide a reference for future research. Most traditional methods to generate nanoparticles have certain limitations, like the toxicity of precursor materials, the need for high-temperature management, and the high cost of synthesis, which ultimately hinders their utility in sectors. Greener synthesis through fungus and algae done through bioreduction by biomolecules or enzymes present in them is low-energy, low-cost, and needs a low-temperature environment, providing a unique technique for the manufacture of various metallic nanoparticles utilized in an array of industries and healthcare.

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“…Among them, copper oxide (CuO) NPs prove to be excellent candidates for dopamine detection due to their useful properties such as better thermal conductivity, high temperature superconductivity, low toxicity, chemical stability, good catalytic behavior, small bandgap, spin dynamics, and simplicity in synthesis process [33]. So far, many chemical and physical methods with different morphologies, particle sizes, and surface areas have been practiced for the synthesis of CuO NPs, and their further utilization in the field of dopamine sensors [34], [35], [36]. For instance, a bio-electrochemical sensing approach was employed using CuO NPs-decorated graphene oxide sheets to detect dopamine [34].…”

Section: Introductionmentioning

confidence: 99%

“…The fabricated dopamine sensor reported a high sensitivity of 0.806 µA/µM over a broad linear range of 0.25 -17 µM with a LOD as 2.6 nM. Recently, Azharudeen et al reported an ultrasensitive and selective electrochemical detection of dopamine based on CuO NPs and polyvinyl alcohol (PVA) nanocomposite-modified electrode [35]. CuO NPs were modified with PVA as a capping agent to sense dopamine with a maximum sensitivity of 183.12 µA mM -1 cm -2 and a detection limit of 0.017 µM.…”

Section: Introductionmentioning

confidence: 99%

Fiber Optic SPR Sensor Modified With Copper Oxide Nanoparticles for Highly Sensitive and Selective Detection of Dopamine

Vikas,

Weitz,

Nobili

et al. 2024

IEEE Sensors J.

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In modern biomedical technology, the fabrication of highperformance sensors for dopamine detection is an important issue because dopamine is a major neurotransmitter and abnormal level of its concentration in the human body is accountable for several neurological diseases. Here, we report a highly sensitive and selective surface plasmon resonance (SPR) sensor modified with small copper oxide nanoparticles (CuO NPs) for experimentally detecting dopamine. Fiber optic sensing probes were fabricated by depositing a 50 nm thick gold film over the unclad portion of a multimode optical fiber using magnetron sputtering, and then further modified with synthesized CuO NPs (~7 nm). Detection of dopamine with the designed SPR sensor was achieved for a wide range of concentrations from very low concentrations with a limit of detection at 1.11 nM and up to 50 nM. The maximum sensitivity was achieved as 0.787 nm/nM and limit of quantification was at 1.43 nM. To evaluate the selectivity of the studied sensor, experiments were also performed with ascorbic acid and uric acid which usually coexist with dopamine in the biological fluids. Moreover, sensing characteristics such as repeatability, linearity, and response time, were studied in detail. Taken together, these findings show that CuO NPs are excellent candidates as SPR sensitizer effectively improving the sensing performance of dopamine.

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Ultrasensitive and Selective Electrochemical Detection of Dopamine Based on CuO/PVA Nanocomposite-Modified GC Electrode

Cited by 11 publications

References 32 publications

Fabrication of Silver Nanoparticles from Ziziphus nummularia Fruit Extract: Effect on Hair Growth Rate and Activity against Selected Bacterial and Fungal Strains

Fabrication of Silver Nanoparticles from Ziziphus nummularia Fruit Extract: Effect on Hair Growth Rate and Activity against Selected Bacterial and Fungal Strains

[Retracted] Fungal‐ and Algal‐Derived Synthesis of Various Nanoparticles and Their Applications

Fiber Optic SPR Sensor Modified With Copper Oxide Nanoparticles for Highly Sensitive and Selective Detection of Dopamine

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