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David Robert Ballerini
Researcher at Monash University
Publications - 14
Citations - 1386
David Robert Ballerini is an academic researcher from Monash University. The author has contributed to research in topics: Thread (computing) & Nanoparticle. The author has an hindex of 10, co-authored 14 publications receiving 1244 citations. Previous affiliations of David Robert Ballerini include Monash University, Clayton campus.
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A perspective on paper-based microfluidics: Current status and future trends
TL;DR: At the current stage of its development, paper-based microfluidic system is claimed to be low-cost, easy-to-use, disposable, and equipment-free, and therefore, is a rising technology particularly relevant to improving the healthcare and disease screening in the developing world, especially for those areas with no- or low-infrastructure and limited trained medical and health professionals.
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Patterned paper and alternative materials as substrates for low-cost microfluidic diagnostics
TL;DR: This work reviews and summarises the many techniques developed to date for the patterning of paper substrates to create channels for the flow of liquids, and explores methods for increasing the functionality of paper-based microfluidics.
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Exploration of microfluidic devices based on multi-filament threads and textiles: A review
TL;DR: This paper reviews the recent progress in the development of low-cost microfluidic devices based on multifilament threads and textiles for semi-quantitative diagnostic and environmental assays, and presents a summary of different methods for modelling the fluid capillary flow in microfluidity thread and textile-based systems.
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Flow control concepts for thread-based microfluidic devices.
TL;DR: A study of fluid penetration in single threads and in twined threads provides greater practical understanding of fluid velocity and ultimate penetration for the design of devices.
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Semiquantitative analysis on microfluidic thread-based analytical devices by ruler
TL;DR: In this article, the length of the coloured zones correlates with the concentrations of the analytes in the samples, and the diagnostic application of the length measurement method, using μTADs, was demonstrated through the successful testing of two different bioassays, for protein and nitrite, in simulated human urine samples.