Dispersion in a Pulsatile Electroosmotic Flow Affected by Wall Slippage
Bibliographic record
Abstract
The dispersion of a non-reacting solute released in a pulsatile electroosmotic flow (PEOF) in a microcapillary is analytically studied.In this work, we take into account the slippage condition on the wall of the microcapillary.The results obtained for the dispersion coefficient are function of the dimensionless slip length , an angular Reynolds number , the amplitude of the oscillatory component of the external electric field and an electrokinetic parameter that relates the radius of the microcapillary with the Debye length.In this study we show that the presence of the Navier slip condition in a pulsatile electroosmotic flow tends to increase the dispersivity of the solute in comparison when the no-slip condition is not considered.Once upon a time, Aris [1] studied the dispersion of a pressure-driven and periodic flow through a circular tube.The design and construction of Labs-on-a-chip (LOCs), are directly related to the study of electrokinetic phenomena.Those LOCs are of great interest due to the ability to handle low fluid volumes, lower manufacturing costs and flexibility for automated operation.That is why many works have been developed in the field of the AC Electroosmosis for manipulating microflows based on the interaction of the electric double layer (EDL) with an externally applied alternating electric field [2][3].In this extended abstract, recognizing the inherent potential of PEOFs as an important means for electroosmotic mass flow control/enhancement [4-5] and considering that the surface of microchannel walls can be hydrophobic, we determine the effective dispersion coefficient, also known as Taylor dispersion, in the long time scale of the process, i.e., when the transient stage has died out and the flow field corresponds to the periodic transient motion.Quantitative surprises emerge from this study, showing that the dispersion coefficient can be notably increased due to a PEOF when slippage is considered.The slip condition enhances in a PEOF, particularly for ≫ 1 and for values of ∼ (10) and = 1.Considering slippage, for the same value of the relative amplitude of the oscillatory electric field, the effective dispersion coefficient can be greater by two orders of magnitude than that where the no-slip condition is assumed.We determined that the time required to provide an uniform concentration of an analyte that was previously injected as a solute band was 4 hours by considering the solute influence of an external pulsatile body force inducing an EOF.However, considering a hydrophobic surface at the boundary wall of the microcapillary allows developing a time of approximately 3 minutes, confirming that the presence of a slip condition cannot be neglected in the PEOF microscale context.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".