Vinh Dinh Nguyen

Thai Nguyen University

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Quy M. Bui

Thai Nguyen University

Chu Van Tuan

Hung Yen University of Technology and Education

Dang Thi Thuy Ngan

Phenikaa University

Minh Binh Tu

VNU University of Science

Thu Thuy Thi Nguyen

Phenikaa University

Valerie Vranová

Mendel University in Brno

Xuan Truong Vuong

Thai Nguyen University

Hue Thi Nguyen

Institute of Oceanography

Phuong Dinh Tam

Phenikaa University

Tu Van Vu

Vietnam National University, Hanoi

Cooperative Institutions

Thai Nguyen University

Hanoi University of Science and Technology

Vietnam Academy of Science and Technology

Vietnam National University, Hanoi

Hung Yen University of Technology and Education

Phenikaa University

VNU University of Science

Mendel University in Brno

Brno University of Technology

Ministry of Health

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Effect of Milling Methods on Particulate Properties and Structure of Clinoptilolite

Crystal Research and Technology (2020)

Vinh Dinh Nguyen Quy M. Bui Jindřích Kynický Dalibor Všianský

Abstract The effects of ultrasonic milling, dry and wet ball milling, and vibro‐milling on the particulate properties, crystalline characteristics, morphology, and surface area of clinoptilolite (Cpt) have been investigated. Laser beam scattering technique, X‐ray diffraction (XRD), scanning electron microscopy (SEM), and nitrogen adsorption/desorption at 77 K are used to characterize the initial and ground Cpt powders. Results show that Cpt particle size is significantly reduced by all carried out milling methods in which vibro‐milling could produce particles with diameter less than 100 nm. The size distribution of Cpt is remarkably narrowed by using vibro‐ and wet ball milling. The crystallinity of Cpt noticeably decreases for the samples obtained by ball milling while vibro‐ and ultrasonic millings show a negligible effect on crystallinity. The specific surface area of Cpt is enhanced by all four milling methods.

Clinoptilolite

Wet-milling

Specific surface area

10.1002/crat.201900180

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Citations (3)

Concentrations, profiles, emission inventory, and risk assessment of chlorinated benzenes in bottom ash and fly ash of municipal and medical waste incinerators in northern Vietnam

Environmental Science and Pollution Research (2020)

Thu Thuy Thi Nguyen Anh Quoc Hoang Vinh Dinh Nguyen Hue Thi Nguyen Tu Van Vu

Congener

10.1007/s11356-020-11385-9

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Citations (17)

Artificial neural network modeling for Congo red adsorption on microwave-synthesized akaganeite nanoparticles: optimization, kinetics, mechanism, and thermodynamics

Environmental Science and Pollution Research (2020)

Vinh Dinh Nguyen Nguyen Thanh Hoa Valerie Vranová Linh Thuy Nguyen Quy M. Bui

Langmuir adsorption model

10.1007/s11356-020-10633-2

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Citations (23)

Electrodeposited Fabrication of CeO2 Branched-like Nanostructure Used for Nonenzymatic Glucose Biosensor

Crystals (2023)

Nguyễn Thị Minh Nguyệt Chu Van Tuan Dang Thi Thuy Ngan Phuong Dinh Tam Vinh Dinh Nguyen

The fabrication of nonenzymatic glucose sensors is essential because of the enhancement in the selectivity and accuracy of these sensors. In this work, we used the electrodeposition approach to prepare a CeO2-based electrode for nonenzymatic glucose detection. A CeO2 branched-like nanostructure was successfully fabricated by electrodeposition on the surface of a Au substrate electrode at room temperature. The effects of cyclic voltammetry, CH3COOH content, and scan cycle number on the formation of the CeO2 branched-like nanostructure were investigated. The fabricated electrodes were characterized by scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD), and Fourier transform infrared spectroscopy (FTIR). The results showed that a CeO2 branched-like nanostructure could be obtained with a CH3COOH content of 1.0 mL and a scan cycle number of 100 in a solution containing 0.015 M Ce(NO3)3, 0.01 M KCl, and 0.02 M CH3COONH4 and with a scan rate of 400 mV/s. The electrochemical characteristics of the sensor were examined by chronoamperometry and cyclic voltammetry. The results showed that the sensitivity of the sensor was 37.72 μA/mM·cm2 and the limit of detection (LOD) of the sensor was 0.093 mM. The findings in this work prove that it is feasible to fabricate CeO2-based sensors for nonenzymatic glucose detection.

Chronoamperometry

Horizontal scan rate

10.3390/cryst13091315

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Citations (2)