Flow rate-modified streaming effects in heterogeneous microchannels

Zhu, Junjie; Davidson, Christian; Xuan, Xiangchun

doi:10.1007/s10404-008-0309-1

Cited by 11 publications

(8 citation statements)

References 36 publications

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“…Accordingly, two research conclusions have been reached concerning the relevance of streaming potentials to pressure loading rate or the non-proportional relationship between the them. The first one is that the fibrils in the canaliculus can disturb the flow state and the second one is that the electric environment can affect the ion distribution in double layer of micrchannels [13,14]. A hypothesis was proposed in literature [18] that the surface roughness of the microspace in bone might cause the fluid flow to become turbulent, which perhaps could affect the amplitude streaming potential in bone.…”

Section: Results and Analysismentioning

confidence: 98%

“…In the microchannels of bone, the streaming potential and pressure gradient do not all follow the linear relationship, because the structure of bone microchannels is very complex and the channels inner surfaces are rough instead of smooth [12,13]. Due to the complexity of the structure of the microchannels it is very difficulty to measure the potentials distribution in the bone.…”

Section: Introductionmentioning

confidence: 96%

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Investigation of pressure loading rates on streaming potentials in bone

Hou

Wang

2011

Sci. China Technol. Sci.

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When load is applied to bone, it deforms and causes fluid pressure to build up in bone. The pressure gradient between different portions of the bone microcnannels drives fluid flow through them. This kind of bone fluid flow can induces the streaming potentials which are considered to play a role for bone remodeling. Aimed to determine the impact of ribbed rough inner surfaces of the microchannels on the streaming potentials, streaming potentials were measured as bone fluid flowed through the mcrospaces of thin cylinder bone samples under different pressure loading rates. The results show that the streaming potentials decrease with the increase of the pressure loading rates. A digital simulation calculation was performed and the results demonstrated that there were turbulent flows near the inner wall surfaces, which making the streaming potentials smaller in bone microchannels.bone, streaming potentials, pressure rising rate, turbulent flow Citation:

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Section: Results and Analysismentioning

confidence: 98%

Section: Introductionmentioning

confidence: 96%

Investigation of pressure loading rates on streaming potentials in bone

Hou

Wang

2011

Sci. China Technol. Sci.

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show abstract

“…Corresponding to the streaming current, an electrical potential difference called the streaming potential is produced between the ends of the channel (Hunter 1981;Li 2004;Xuan 2008;Zhu et al 2008). The action of the streaming potential generates an electrical current called the conduction current in the opposite direction of the streaming current.…”

Section: Introductionmentioning

confidence: 99%

Electrokinetic energy conversion in micrometer-length nanofluidic channels

Chang

Yang

2009

Microfluid Nanofluid

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In this study, we present a theoretical and numerical investigation of electrokinetic energy conversion in short-length nanofluidic channels, taking into account reservoir resistance and concentration polarization effects. The concentration polarization effect was demonstrated through numerical modeling using the Poisson-NernstPlanck (PNP) model. In the absence of concentration polarization, the modified Onsager reciprocal relation for the electrokinetic flow through a one-dimensional (1D) nanochannel is derived from both Ohm's law and Kirchhoff's current law while considering the reservoir resistance. Based on this modified Onsager reciprocal relation and the Poisson-Boltzmann (PB) model, a theoretical model for electrokinetic energy conversion is proposed to address the importance of the reservoir resistance effect on electrokinetic energy conversion. The applicability of our proposed model is also verified through numerical modeling of the PNP model. The results calculated from our proposed model are shown to be in good agreement with those from the PNP model when the concentration polarization effect does not occur significantly at the reservoirs. The conversion efficiency and generation power are decreased when the channel resistance is not much larger than the reservoir resistance, especially for a shorter-length nanochannel (e.g., a channel several micrometers in length) with a lower electrolyte concentration and a higher surface charge density. After the concentration polarization effect becomes increased as a larger pressure gradient is applied through an ideal ion-selective nanochannel, the conversion efficiency/generation power is further decreased due to the ion depletion at the inlet reservoir, which increases the electrical resistance of the inlet reservoir or the equivalent electrical resistance of the electrokinetic energy conversion system. The onset pressure difference (or gradient) for a significant concentration polarization is identified both theoretically and numerically. In order to avoid decreases in the conversion efficiency/generation power mentioned above, some key factors such as the length of the nanochannel, the position of electrodes at the reservoirs, and the applied pressure gradient were noticed in this study.

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“…Lab-on-chip (LOC) systems (Felten et al 2008), flow of biomolecules in microchannels and microcapillaries (Waghmare and Mitra 2010a), porous media flows (Sbai and Azaroual 2011), chromatographic analysis (Bernate and Drazer 2011), and membrane separations (Das et al 2003;Bacchin et al 2011) are some of the examples of such systems in which particle transport in micro and nanochannels is ubiquitous. In most cases, the walls of these microchannels are physically and chemically heterogeneous which are either naturally occurring in these systems (Zhu et al 2008) or might be induced due to fabrication procedures (Rawool et al 2006). This study provides a comprehensive theoretical analysis of how the transport of such suspended particles is affected in these microchannels due to the heterogeneities on the microchannel walls.…”

Section: Introductionmentioning

confidence: 98%

Particle transport in patterned cylindrical microchannels

Chatterjee

Bhattacharjee

Mitra

2011

Microfluid Nanofluid

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An Eulerian model (convection-diffusionmigration equation) to evaluate particle transport in patchy heterogeneous cylindrical microchannels is presented. The objective of this model is to capture the effect of surface chemical heterogeneity on deposition and particle transport in cylindrical microchannels with fully developed Poiseuille flow velocity profile. Surface heterogeneity is modeled as alternate bands of attractive and repulsive regions on the channel wall to facilitate systematic continuum type evaluation. The results indicate that particles tend to preferentially collect at the leading edge of the favorable sections and the extent of this deposition can be controlled by changing Peclet number. Also, it is shown that particles tend to travel further along the microchannel length for heterogeneous channels compared to homogeneously favorable channels. In addition, the study evaluates the effect of the frequency of these stripes on the transport behavior and provides the average collection rate depending on favorable surface coverage fraction. This analysis shows how the existing microchannel/capillary transport models could possibly be modified by incorporating surface interactions and chemical heterogeneity.

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Flow rate-modified streaming effects in heterogeneous microchannels

Cited by 11 publications

References 36 publications

Investigation of pressure loading rates on streaming potentials in bone

Investigation of pressure loading rates on streaming potentials in bone

Electrokinetic energy conversion in micrometer-length nanofluidic channels

Particle transport in patterned cylindrical microchannels

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