Optimizing the quality of acoustophoretic separation by the in-flow mobility-ratio method
Baasch, Thierry LU ; Edthofer, Alexander LU ; Péroux, Linda ; Rengbrandt, Olivia ; Silversand, Lovisa ; Lenshof, Andreas LU
and Laurell, Thomas
LU
(2025)
In Physical Review Applied
23(1).
- Abstract
Achieving good acoustic particle or cell separation performance requires skilled operators, who must carefully fine-tune the input parameters (actuation voltages, flow rates, and flow split ratios). Often the fine-tuning is done by time-consuming parameter sweeps, which are tedious and expensive. Here, we present a straightforward model-based approach to determining input parameters that yield optimal separation performance. The optimal parameters are a function of the device performance, the material properties of the separation species (compressibility, density, size), and the properties of the buffer (compressibility and density). The device performance is assessed by a calibration step, while the material properties are combined... (More)
Achieving good acoustic particle or cell separation performance requires skilled operators, who must carefully fine-tune the input parameters (actuation voltages, flow rates, and flow split ratios). Often the fine-tuning is done by time-consuming parameter sweeps, which are tedious and expensive. Here, we present a straightforward model-based approach to determining input parameters that yield optimal separation performance. The optimal parameters are a function of the device performance, the material properties of the separation species (compressibility, density, size), and the properties of the buffer (compressibility and density). The device performance is assessed by a calibration step, while the material properties are combined into the mobility ratio and measured by the in-flow mobility-ratio method, which is introduced in this work. The optimal separation settings are validated by separating green fluorescent 7.8-μm particles from red fluorescent 4.9-μm particles.
(Less)
- author
- Baasch, Thierry
LU
; Edthofer, Alexander
LU
; Péroux, Linda
; Rengbrandt, Olivia
; Silversand, Lovisa
; Lenshof, Andreas
LU
and Laurell, Thomas
LU
- organization
- publishing date
- 2025-01
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Physical Review Applied
- volume
- 23
- issue
- 1
- article number
- 014054
- publisher
- American Physical Society
- external identifiers
-
- scopus:85216510883
- ISSN
- 2331-7019
- DOI
- 10.1103/PhysRevApplied.23.014054
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2025 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the "https://creativecommons.org/licenses/by/4.0/"Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funded by "https://www.kb.se/samverkan-och-utveckling/oppen-tillgang-och-bibsamkonsortiet/bibsamkonsortiet.html"Bibsam.
- id
- 4e5856cd-5a0f-4b0c-9290-654a2c08e866
- date added to LUP
- 2025-04-11 10:53:19
- date last changed
- 2025-04-11 10:54:01
@article{4e5856cd-5a0f-4b0c-9290-654a2c08e866,
abstract = {{<p>Achieving good acoustic particle or cell separation performance requires skilled operators, who must carefully fine-tune the input parameters (actuation voltages, flow rates, and flow split ratios). Often the fine-tuning is done by time-consuming parameter sweeps, which are tedious and expensive. Here, we present a straightforward model-based approach to determining input parameters that yield optimal separation performance. The optimal parameters are a function of the device performance, the material properties of the separation species (compressibility, density, size), and the properties of the buffer (compressibility and density). The device performance is assessed by a calibration step, while the material properties are combined into the mobility ratio and measured by the in-flow mobility-ratio method, which is introduced in this work. The optimal separation settings are validated by separating green fluorescent 7.8-μm particles from red fluorescent 4.9-μm particles.</p>}},
author = {{Baasch, Thierry and Edthofer, Alexander and Péroux, Linda and Rengbrandt, Olivia and Silversand, Lovisa and Lenshof, Andreas and Laurell, Thomas}},
issn = {{2331-7019}},
language = {{eng}},
number = {{1}},
publisher = {{American Physical Society}},
series = {{Physical Review Applied}},
title = {{Optimizing the quality of acoustophoretic separation by the in-flow mobility-ratio method}},
url = {{http://dx.doi.org/10.1103/PhysRevApplied.23.014054}},
doi = {{10.1103/PhysRevApplied.23.014054}},
volume = {{23}},
year = {{2025}},
}