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Noisy bubbles hinder ultrasound-boosted chemical reactions, sonochemistry model shows

Ultrasound is a powerful way to drive chemical reactions. When high-frequency sound waves pass through a liquid, tiny bubbles form and then violently collapse in a process called acoustic cavitation. During this collapse, gas particles are forced together, creating temperatures inside the bubbles that can exceed 5,000 K—hotter than the surface of the sun—and driving chemical reactions.

Noisy bubbles hinder ultrasound-boosted chemical reactions, sonochemistry model shows

Sonochemistry, the study of chemical reactions driven by ultrasound, relies on the formation and collapse of tiny bubbles within a liquid. During bubble collapse, gas particles are compressed, generating intense heat and driving chemical reactions. However, researchers have observed that increasing ultrasonic power can sometimes reduce these reactions, a phenomenon known as "quenching."

To understand this puzzling behavior, researchers Takuya Yamamoto and Ryuya Hayashi at Osaka Metropolitan University have developed a new numerical model. Their findings, published in Ultrasonics Sonochemistry, reveal that the bubbles themselves are the culprits behind the quenching effect. As ultrasonic power increases, oscillating bubbles emit their own sound waves that interfere with the applied ultrasound, distorting the field and reducing the efficiency of bubble heating and reactions.

The model successfully explains three distinct reaction regimes observed experimentally, providing a unified physical explanation for this paradox. By incorporating ultrasound propagation, bubble oscillation, sound emission, and bubble temperature into a single framework, the model can predict the optimal operating conditions for sonochemical reactors, maximizing efficiency and minimizing energy consumption.

This could lead to faster degradation of hazardous compounds, cleaner semiconductor wafers, and the synthesis of high-performance nanoparticles.

Written by urgent.news from Phys.org's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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