Das AK et al. (2018), Development of an Fe3O4@Cu silicate based sensi...

ECB-ART-50728

RSC Adv 2018 Sep 04;854:31037-31047. doi: 10.1039/c8ra05885g.

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Development of an Fe3O4@Cu silicate based sensing platform for the electrochemical sensing of dopamine.

Das AK , Kuchi R , Van PC , Sohn Y , Jeong JR .

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Abnormal levels of dopamine (DA) in body fluids is an indication of serious health issues, hence development of highly sensitive platforms for the precise detection of DA is highly essential. Herein, we demonstrate an Fe3O4@Cu silicate based electrochemical sensing platform for the detection of DA. Morphology and BET analysis shows the formation of ∼320 nm sized sea urchin-like Fe3O4@Cu silicate core-shell nanostructures with a 174.5 m2 g-1 surface area. Compared to Fe3O4 and Fe3O4@SiO2, the Fe3O4@Cu silicate urchins delivered enhanced performance towards the electrochemical sensing of DA in neutral pH. The Fe3O4@Cu silicate sensor has a 1.37 μA μM-1 cm-2 sensitivity, 100-700 μM linear range and 3.2 μM limit of detection (LOD). In addition, the proposed Fe3O4@Cu silicate DA sensor also has good stability, selectivity, reproducibility and repeatability. The presence of Cu in Fe3O4@Cu silicate and the negatively charged surface of the Cu silicate shell play a vital role in achieving high selectivity and sensitivity during DA sensing. The current investigation not only represents the development of a highly selective DA sensor but also directs towards the possibility for the fabrication of other Cu silicate based core-shell nanostructures for the precise detection of DA.

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Al Abass, The unexpected activity of Pd nanoparticles prepared using a non-ionic surfactant template. 2014, Pubmed

	Scheme 1. Schematic illustration of the synthesis of Fe3O4@Cu silicate core–shell urchins.
	Fig. 1. XRD patterns of Fe3O4 nanospheres (a), Fe3O4@SiO2 nanospheres (b), and Fe3O4@Cu silicate core–shell urchins (c).
	Fig. 2. N2 adsorption–desorption isotherms of Fe3O4 (a), Fe3O4/SiO2 (b), and Fe3O4@Cu silicate core–shell urchins (c). Inset shows the corresponding pore width distribution.
	Fig. 3. SEM images of Fe3O4 nanospheres (a), Fe3O4@SiO2 nanospheres (b), and Fe3O4@Cu silicate core–shell urchins (c and d).
	Fig. 4. SEM image (a), EDS profile of Fe3O4@Cu silicate core–shell urchins (b) and corresponding elemental mapping of Fe, Cu, O and Si (c–f).
	Fig. 5. TEM images of Fe3O4 nanospheres (a), Fe3O4@SiO2 nanospheres (b), and Fe3O4@Cu silicate core–shell urchins (c and d). HRTEM image (e) and SAED pattern taken from the shell of the Fe3O4@Cu silicate core–shell structure (f).
	Fig. 6. (A) Cyclic voltammograms of (a) CP, (b) CP-Fe3O4, (c) CP-Fe3O4@SiO2 and (d) CP-Fe3O4@Cu silicate core–shell urchins in 0.1 M KCl containing 1 mM Fe(CN)64− at 50 mV s−1 scan rate and (B) Nyquist plot.
	Fig. 7. Cyclic voltammograms of (a) CP, (b) CP-Fe3O4, (c) CP-Fe3O4@SiO2 and (d) CP-Fe3O4@Cu silicate core–shell urchins electrodes in 0.1 M PBS containing 1.8 mM DA at 50 mV s−1 scan rate.
	Fig. 8. (A) Cyclic voltammograms obtained on CP-Fe3O4@Cu silicate core–shell urchin electrode in 0.1 M PBS containing 1.8 mM DA at different scan rates (10–100 mV s−1) and (B) plot of anodic and cathodic peak currents vs. square root of scan rate.
	Fig. 9. (a) Cyclic voltammograms obtained for the different concentration of DA (0.2–1.8 mM) on CP-Fe3O4@Cu silicate core–shell urchin electrode in 0.1 M PBS at a scan rate of 50 mV s−1 and (b) corresponding calibration plot.
	Fig. 10. (a) Cyclic voltammograms obtained on CP-Fe3O4@Cu silicate core–shell urchin electrode at 50 mV s−1 scan rate in 0.1 M PBS of different pH (3–8) containing 1.8 mM DA. (b) Calibration plot for pH vs. oxidation potential.
	Fig. 11. (a) Voltammetric response of CP-Fe3O4@Cu silicate core–shell urchin electrode in 0.1 M PBS containing 1.8 mM DA at 50 mV s−1 scan rate after 1st, 10th, 20th, 30th, 40th and 50th cycles. (b) Plot of catalytic current vs. cycle number.