All-Polymer Multilayer Lab-on-Fiber Ultrasonic Detectors in the Biomedical Field: A Numerical Study in Pursuit of Photoacoustic Applications

The development of minimally invasive diagnostic devices in the biomedical field has grown significantly, especially those that take advantage of photoacoustic phenomena. Photoacoustic imaging is an imaging technique that exploits the photoacoustic effect, relying on the conversion of absorbed light into ultrasound waves. Thanks to lab-on-fiber technology, optical fiber can be functionalized to generate and receive a photoacoustic signal. Weak acoustic signals often limit this process, as conversion efficiency can be influenced by factors such as tissue heterogeneity, light scattering, and the attenuation of the acoustic waves within tissues. Consequently, there is significant interest in the development of highly sensitive systems with broad bandwidths. While the literature has largely focused on standard devices utilizing the interferometric effect in homogeneous slabs, this study explores the potential of multilayer structures that leverage Bragg reflection to be realized on the fiber tip. We numerically investigated both periodic and aperiodic designs of polymeric multilayer structures to further enhance the optical performance of opto-acoustic sensors. We demonstrate an enhancement in sensitivity of up to about three orders of magnitude without compromising bandwidth. This work highlights the advantages of multilayer sensor designs in improving sensitivity and performance for high-frequency opto-acoustic sensing.

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Journal
Sensors
Published
2025-12-02
DOI
https://doi.org/10.3390/s25237349
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
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article

All-Polymer Multilayer Lab-on-Fiber Ultrasonic Detectors in the Biomedical Field: A Numerical Study in Pursuit of Photoacoustic Applications

Andrea Cusano, Maria Alessandra Cutolo, M Giaquinto, Giovanni Breglio et al.
Sensors
Photoacoustic and Ultrasonic Imaging
article

All-Polymer Multilayer Lab-on-Fiber Ultrasonic Detectors in the Biomedical Field: A Numerical Study in Pursuit of Photoacoustic Applications

Andrea Cusano, Maria Alessandra Cutolo, M Giaquinto, Giovanni Breglio, Barbara Rossi, Paolo Massimo Aiello
article en

Abstract

The development of minimally invasive diagnostic devices in the biomedical field has grown significantly, especially those that take advantage of photoacoustic phenomena. Photoacoustic imaging is an imaging technique that exploits the photoacoustic effect, relying on the conversion of absorbed light into ultrasound waves. Thanks to lab-on-fiber technology, optical fiber can be functionalized to generate and receive a photoacoustic signal. Weak acoustic signals often limit this process, as conversion efficiency can be influenced by factors such as tissue heterogeneity, light scattering, and the attenuation of the acoustic waves within tissues. Consequently, there is significant interest in the development of highly sensitive systems with broad bandwidths. While the literature has largely focused on standard devices utilizing the interferometric effect in homogeneous slabs, this study explores the potential of multilayer structures that leverage Bragg reflection to be realized on the fiber tip. We numerically investigated both periodic and aperiodic designs of polymeric multilayer structures to further enhance the optical performance of opto-acoustic sensors. We demonstrate an enhancement in sensitivity of up to about three orders of magnitude without compromising bandwidth. This work highlights the advantages of multilayer sensor designs in improving sensitivity and performance for high-frequency opto-acoustic sensing.

SensorsVol. 25(23)
University of Salerno (IT), University of Sannio (IT), University of Naples Federico II (IT)
Openalex Percentile: Top 61%
Photoacoustic and Ultrasonic Imaging
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All-Polymer Multilayer Lab-on-Fiber Ultrasonic Detectors in the Biomedical Field: A Numerical Study in Pursuit of Photoacoustic Applications — Andrea Cusano, Maria Alessandra Cutolo, et al. · Sensors (2025) | TGRS Research Map | TGRS