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Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 34, Number 6(2) (2022)
Copyright(C) MYU K.K.
pp. 2089-2104
S&M2958 Research Paper
https://doi.org/10.18494/SAM3881
Published: June 15, 2022

Smartphone-based On-chip Homogenous Sensing by Analysis of Dynamics of Oscillating Polystyrene Particles under Dielectrophoretic Forces [PDF]

Jaiyam Sharma, Taisuke Ono, Naohito Satake, and Adarsh Sandhu

(Received February 28, 2022; Accepted May 6, 2022)

Keywords: biosensing, medical diagnostics, point-of-care testing, functionalized particles

Compact, rapid, and inexpensive smartphone-based point-of-care diagnostics is developing rapidly to replace conventional medical diagnostic procedures that necessitate specialized skills and bulky instruments. Smartphone-based biosensing protocols proposed to date involve “heterogenous” interactions of labels with functionalized sensing surfaces. In contrast, “homogenous” protocols do not require surface functionalization but are bulky and unsuitable for point-of-care diagnostics. In this work, we demonstrate a smartphone-based homogenous biosensing protocol that is portable, rapid, and low cost. Currents passed through microelectrode patterns fabricated onto silicon substrates produced dielectrophoretic forces that induced harmonic oscillations of 1-μm-diameter carboxyl-coated polystyrene particles suspended in aqueous solutions at well-defined heights above the surfaces of the chips. Next, we introduced 200-nm-diameter polystyrene particles functionalized with complementary amine compounds into the solution, which interacted with the larger particles, thereby significantly changing the oscillation dynamics of the larger beads. A smartphone was used to record the motion of the beads. Particle tracking and filtering algorithms were used to extract information about the oscillation of the particles and detect changes in their dynamics. The results showed that our approach enables the detection of the concentration of aminated particles with a smartphone within 1 min without requiring any prior functionalization of the biochip.

Corresponding author: Adarsh Sandhu


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Cite this article
Jaiyam Sharma, Taisuke Ono, Naohito Satake, and Adarsh Sandhu, Smartphone-based On-chip Homogenous Sensing by Analysis of Dynamics of Oscillating Polystyrene Particles under Dielectrophoretic Forces, Sens. Mater., Vol. 34, No. 6, 2022, p. 2089-2104.



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