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Nanobubble Formation by Flow Regime Switching Using a Tesla Valve
George Joseph1, Bincy Binny1, Andre R Venter1
1Department of Chemistry, Western Michigan University, Kalamazoo, Michigan 49008-5413, United States.
ACS Omega
|May 5, 2025
Summary
A novel Tesla valve method efficiently generates nanobubbles (NBs) in the 100-200 nm range. This cost-effective technique offers promising scalability and low energy consumption for industrial applications.
Area of Science:
- Materials Science
- Fluid Dynamics
- Nanotechnology
Background:
- Nanobubbles (NBs) are gas cavities in solution with diameters around 200 nm, exhibiting unique properties for diverse applications.
- Current laboratory-scale methods for NB generation include ultrasonication and pressure cycling, each with limitations.
Purpose of the Study:
- To introduce and evaluate a novel, cost-effective method for nanobubble generation using flow regime cycling through a Tesla valve.
- To compare the performance of the Tesla valve method with existing techniques (ultrasonication, pressure cycling) in terms of bubble characteristics.
Main Methods:
- Nanobubbles were generated using CO2 or N2 via flow regime switching through a Tesla valve, ultrasonication, and pressure cycling.
- Bubble diameter was measured using Nanoparticle Tracking Analysis (NTA).
- Bubble concentration and zeta potential were also quantified for comparative analysis.
Main Results:
- The Tesla valve method produced CO2 nanobubbles with an average diameter of 110 nm, comparable to sonication.
- Bubble concentration for the Tesla valve method was 3.8 × 10^8 bubbles/mL, higher than sonication but lower than pressure cycling.
- Zeta potential was measured at -33 mV, indicating favorable surface charge characteristics.
Conclusions:
- Flow cycling through a Tesla valve is an effective method for generating nanobubbles in the 100-200 nm range.
- This technique demonstrates favorable comparison to alternative laboratory methods, with potential for low energy consumption and scalability.
- The Tesla valve method presents a promising alternative for cost-effective and scalable nanobubble production.
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