Quy M. Bui

Thai Nguyen University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Vinh Dinh Nguyen

Thai Nguyen University

Valerie Vranová

Mendel University in Brno

Dalibor Všianský

Masaryk University

Jindřích Kynický

Business Innovation Centre (Czechia)

Tam T. Khieu

Thai Nguyen University

Linh Thuy Nguyen

Hanoi Medical University Hospital

Nguyen Thanh Hoa

Thuyloi University

Cooperative Institutions

Thai Nguyen University

Mendel University in Brno

Brno University of Technology

Masaryk University

Hanoi Medical University Hospital

Hanoi Medical University

Tamil Nadu Agricultural University

Punjab Agricultural University

St. Anne's University Hospital Brno

Hung Yen University of Technology and Education

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

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

Cite

Citations (3)

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

Cite

Citations (23)