Microfluidic transistors for analog microflows amplification and control

Cheikh, Mohammad; Lakkis, Issam

doi:10.1007/s10404-016-1754-x

Cited by 8 publications

(2 citation statements)

References 24 publications

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“…In the nanoscale, the term field effect fluidics has been used by Prakash and Gershenfeld [27]. Diodes [28,29], transistors [30], and pertinent logical devices [31][32][33][34][35] have been fabricated and characterized thoroughly, employing either electrical, optical, or mechanical biases as control signals. Very recently, an electrically driven thyristor, acting as an electrically controlled valve, has been demonstrated in paper microfluidic devices [36].…”

Section: Introductionmentioning

confidence: 99%

A new microfluidic pressure-controlled Field Effect Transistor (pFET) in digital fluidic switch operation mode

Vourdas

Moschou

Papadopoulos³

et al. 2018

Microelectronic Engineering

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Section: Introductionmentioning

confidence: 99%

A new microfluidic pressure-controlled Field Effect Transistor (pFET) in digital fluidic switch operation mode

Vourdas

Moschou

Papadopoulos³

et al. 2018

Microelectronic Engineering

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“…As such, it falls under the concept of Lagrangian flow control (Glass & Horsin 2012Lei et al 2015;Sinha et al 2016) in which the Lagrangian motion of fluid particles is to be controlled in a desired fashion. This may help address broader goals of flow control such as ensuring robust flow properties (Brunton & Noack 2015;Kucala & Biringen 2014;Fish & Lauder 2006;Karnik et al 2007;Sattarzadeh & Fransson 2016;Tounsi et al 2016;Boujo et al 2015) or enhancing or suppressing mixing (Ho & Tai 1998;Park et al 2014;Cheikh & Lakkis 2016). The methods described in this paper are therefore from a different angle than more established flow control methods such as velocity modification based on flow sensing (Beebe et al 2000;Frank et al 2016;Jadhav et al 2015;Tounsi et al 2016), stabilising unstable or chaotic trajectories (Ott et al 1990;Boccaletti et al 2000;Pyragas 1992;Tamaseviciute et al 2013), controlling autonomous vehicles by sampling fluid velocities (Heckman et al 2015;Michini et al 2014;Mallory et al 2013;Senatore & Ross 2008), designing optimal geometries for microfluidic devices (Jeong et al 2016;Ionov et al 2006;Balasuriya 2015), determining control velocities for energy/enstropyconstrained mixing (Lin et al 2011;Hassanzadeh et al 2014;Cortelezzi et al 2008;Mathew et al 2007;Balasuriya & Finn 2012), and many others (Kim & Bewley 2007).…”

Section: Introductionmentioning

confidence: 99%

Unsteadily manipulating internal flow barriers

Balasuriya

2017

J. Fluid Mech.

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Typical flows contain internal flow barriers: specialised time-moving Lagrangian entities which demarcate distinct motions. Examples include the boundary between an oceanic eddy and a nearby jet, the edge of the Antarctic circumpolar vortex or the interface between two fluids which are to be mixed together in an microfluidic assay. The ability to control the locations of these barriers in a user-specified time-varying (unsteady) way can profoundly impact fluid transport between the coherent structures which are separated by the barriers. A condition on the unsteady Eulerian velocity required to achieve this objective is explicitly derived, thereby solving an ‘inverse Lagrangian coherent structure’ problem. This is an important first step in developing flow-barrier control in realistic flows, and in providing a postprocessing tool for observational/experimental velocity data. The excellent accuracy of the method is demonstrated using the Kelvin–Stuart cats-eyes flow and the unsteady double gyre, utilising finite-time Lyapunov exponents.

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Periodic Flows in Microfluidics

Mudugamuwa,

Roshan,

Hettiarachchi

et al. 2024

Small

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Microfluidics, the science and technology of manipulating fluids in microscale channels, offers numerous advantages, such as low energy consumption, compact device size, precise control, fast reaction, and enhanced portability. These benefits have led to applications in biomedical assays, disease diagnostics, drug discovery, neuroscience, and so on. Fluid flow within microfluidic channels is typically in the laminar flow region, which is characterized by low Reynolds numbers but brings the challenge of efficient mixing of fluids. Periodic flows are time‐dependent fluid flows, featuring repetitive patterns that can significantly improve fluid mixing and extend the effective length of microchannels for submicron and nanoparticle manipulation. Besides, periodic flow is crucial in organ‐on‐a‐chip (OoC) for accurately modeling physiological processes, advancing disease understanding, drug development, and personalized medicine. Various techniques for generating periodic flows have been reported, including syringe pumps, peristalsis, and actuation based on electric, magnetic, acoustic, mechanical, pneumatic, and fluidic forces, yet comprehensive reviews on this topic remain limited. This paper aims to provide a comprehensive review of periodic flows in microfluidics, from fundamental mechanisms to generation techniques and applications. The challenges and future perspectives are also discussed to exploit the potential of periodic flows in microfluidics.

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Microfluidic transistors for analog microflows amplification and control

Cited by 8 publications

References 24 publications

A new microfluidic pressure-controlled Field Effect Transistor (pFET) in digital fluidic switch operation mode

A new microfluidic pressure-controlled Field Effect Transistor (pFET) in digital fluidic switch operation mode

Unsteadily manipulating internal flow barriers

Periodic Flows in Microfluidics

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