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In this study, we report a series of novel palladium nanoparticles (Pd) supported cerium oxide (CeO 2 )/graphitic carbon nitride (g-C 3 N 4 ) nanocomposites, fabricated via the simple strategy, which were used for the detoxification of toxic hexavalent chromium to benign trivalent chromium under visible light irradiation. The synthesized Pd/CeO 2 /g-C 3 N 4 nanocomposites were characterized by various tools including powder X-ray diffraction (PXRD), fourier transform infrared (FTIR), X-ray photoelectron spectroscopy (XPS), UV-vis diffuse reflectance spectra (DRS/UV-vis), high resolution transmission electron microscopy (HRTEM), and energy dispersive X-ray spectra (EDS). The wrapping with surface of graphitic carbon nitride nanosheets can efficiently promote the interface charge separation and transmission over the ternary photocatalyst, which was studied by photoluminescence spectra (PL) analysis and electrochemical impedance spectroscopy (EIS) spectra. The obtained 3% Pd/CeO 2 /g-C 3 N 4 nanocomposite photocatalyst exhibit an excellent photocatalytic performance when compared to other single and composite counter parts. The 3% Pd/CeO 2 /g-C 3 N 4 exhibits a strong synergistic effect which arises due to the interactions between palladium nanoparticles, CeO 2 and graphitic carbon nitride resulting in the lower recombination of photo-induced charge carriers with enhanced photocatalytic activity. This work implies that the synergistic Pd/CeO 2 /g-C 3 N 4 nanocomposites would be a new kind of high-efficiency visible-light-driven photocatalysts materials for the detoxification of public safety and security., (Copyright © 2017 Elsevier Inc. All rights reserved.)

The construction and characterization of selective and sensitive non-enzymatic hydrogen peroxide (H 2 O 2 ) electrochemical sensor based on sphere-like zirconium molybdate (ZrMo 2 O 8 ) nanostructure are reported for the first time. The sphere-like ZrMo 2 O 8 were prepared via a simple hydrothermal route followed by annealing process. The structural and morphological properties were investigated by various analytical and spectroscopic techniques such as XRD, Raman, SEM, EDX, TEM, and XPS analysis. Furthermore, the electrochemical properties were investigated by cyclic voltammetry and amperometric techniques. The obtained results displayed that the prepared ZrMo 2 O 8 materials hold excellent-crystallinity, well-defined sphere-like formation and demonstrated superior electrochemical properties. Interestingly, the electrochemical H 2 O 2 sensor was constructed based on ZrMo 2 O 8 nanostructure on the glassy carbon electrode exhibited wide linear response ranges, good sensitivity and lower detection limit (LOD). The estimated sensitivity, wide linear ranges and LOD of the fabricated electrochemical sensor was 2.584μAμM -1 cm -2 , 0.05-523, 543-3053μM and 0.01μM respectively. The proposed sensor had excellent selectivity even in the presence of biologically co-interfering substances such as uric acid, dopamine, ascorbic acid and glucose. This effortless, fast, inexpensive technique for constructing a modified electrode is a gorgeous approach to the growth of new sensors., (Copyright © 2017 Elsevier Inc. All rights reserved.)

In this present investigation, we introduced a novel electrochemical sensor for the detection of tryptophan (TRP) based on green pompoms flower-like cerium vanadate (CeVO 4 ). The flower-like CeVO 4 microstructure was prepared by the simple hydrothermal treatment with the assistance of urea for the first time. The as-prepared flower-like CeVO 4 microstructure was characterized by various analytical and spectroscopic techniques such as X-ray diffraction, Raman spectroscopy fourier transform infrared spectroscopy, scanning electron microscopy and energy-dispersive X-ray spectroscopy studies. The electrochemical properties are evaluated by the cyclic voltammetry (CV) and differential pulse voltammetry (DPV). As an electrochemical sensor, the green pompoms flower-like CeVO 4 modified glassy carbon electrode (GCE) displayed an excellent electrocatalytic activity for the detection of TRP. The obtained electrochemical results revealed that the oxidation of TRP, exhibited a lower potential and higher anodic peak current when compared to unmodified GCE. These results were suggested that the flower-like CeVO 4 /GCE have a good electrocatalytic activity towards the TRP oxidation. The flower-like CeVO 4 sensor exhibited the wide linear concentration range and low detection limit of 0.1-94µM and 0.024µM respectively. Finally, the proposed sensor was successfully applied to the determination of TRP in real sample analysis such as food and biological samples with satisfied recoveries., (Copyright © 2017 Elsevier Inc. All rights reserved.)

A novel electrochemical sensor based on the functionalized multiwalled carbon nanotube (f-MWCNT) was successfully developed for the sensitive and selective determination of non-steroidal prostate anti-cancer drug nilutamide in tablet and blood serum samples. The f-MWCNT was prepared by the simple reflux method and characterized by the scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), Raman spectroscopy, X-ray powder diffraction (XRD) and fourier transform infrared spectroscopy (FT-IR). Interestingly, the f-MWCNT was exhibited a superior electrocatalytic activity towards the anti-cancer drug nilutamide when compared with pristine MWCNT and unmodified electrodes. Besides, the electrochemical sensor was revealed an excellent current response for the determination of nilutamide with wide linear ranges (0.01-21μM and 28-535μM), high sensitivity (11.023 and 1.412μA μM -1 cm 2 ) and very low detection limit (LOD) 0.2nM. The developed electrochemical sensor was showed an excellent selectivity even in the presence of electrochemically active biological substances and nitro aromatic compounds. Moreover, it manifested a good reproducibility and stability. In addition, the f-MWCNT modified glassy carbon electrode (GCE) sensor was successfully applied for the detection of nilutamide in tablet and blood serum sample., (Copyright © 2016 Elsevier Inc. All rights reserved.)