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Optimization of smartphone-based on-site-capable uranium analysis in water using a 3D printed microdevice


Dalvand, K and Keshan Balavandy, S and Li, F and Breadmore, M and Ghiasvand, A, Optimization of smartphone-based on-site-capable uranium analysis in water using a 3D printed microdevice, Analytical and Bioanalytical Chemistry, 413 pp. 3243-3251. ISSN 1618-2642 (2021) [Refereed Article]

Copyright Statement

Copyright Crown 2021

DOI: doi:10.1007/s00216-021-03260-4


Recent development of portable three-dimensional printed (3DP) microfluidic-based devices has provided a new horizon for real-time field analysis of environmental pollutants. Smartphones with the possibility of launching different software, sensing, and grading color intensity, as well as capability of sending/receiving data through the internet have made this technology very promising. Here, a novel smartphone-based 3DP microfluidic device is reported that uses an image-based colorimetric detection method for the analysis of uranium in water samples, based on the complex formation of uranyl ions with Arsenazo III. The microfluidic device consists of two horizontal channels, separated by an integrated porous membrane, and was printed in a single run using a transparent photopolymer. It enables the operator to see the internal parts and the color change visually, as well as enables the operator to take images and record the color intensity using a smartphone. In each 3DP run, 220 devices are fabricated in 1.5 h (~ 25 s per device) at an estimated price of $2.5 per device. A Box–Behnken design (BBD) was utilized for the optimization of experimental conditions. The calibration curve was linear within 0.5–100 μg mL-1 (R2 > 0.9925) of uranium analysis. The total time of each experiment was approximately 8 min. The 3DP device was successfully employed for the recovery and determination of uranium in spiked natural water samples.

Item Details

Item Type:Refereed Article
Keywords:3D printing, microfluidic, smartphone-based colorimetry
Research Division:Chemical Sciences
Research Group:Analytical chemistry
Research Field:Separation science
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the biomedical and clinical sciences
UTAS Author:Keshan Balavandy, S (Mrs Sepideh Keshan Balavandy)
UTAS Author:Li, F (Mr Feng Li)
UTAS Author:Breadmore, M (Professor Michael Breadmore)
UTAS Author:Ghiasvand, A (Professor Alireza Ghiasvand)
ID Code:146504
Year Published:2021
Web of Science® Times Cited:3
Deposited By:Chemistry
Deposited On:2021-09-09
Last Modified:2022-08-25

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