Whispering-Gallery-Mode Resonators for Detection and Classification of Free-Flowing Nanoparticles and Cells through Photoacoustic Signatures
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866910710200532992 |
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| author | Liao, Jie Adolphson, Maxwell Li, Hangyue Sikder, Dipayon Kumar Lu, Chenyang Yang, Lan |
| author_facet | Liao, Jie Adolphson, Maxwell Li, Hangyue Sikder, Dipayon Kumar Lu, Chenyang Yang, Lan |
| contents | Micro and nanoscale particles are crucial in various fields, from biomedical imaging to environmental processes. While conventional spectroscopy and microscopy methods for characterizing these particles often involve bulky equipment and complex sample preparation, optical micro-sensors have emerged as a promising alternative. However, their broad applicability is limited by the need for surface binding and difficulty in differentiating between sensing targets. This study introduces an optofluidic, high-throughput optical microresonator sensor that captures subtle acoustic signals generated by particles absorbing pulsed light energy. This novel approach enables real-time, label-free detection and interrogation of particles and cells in their native environments across an extended sensing volume. By leveraging unique optical absorption properties, our technique selectively detects and classifies flowing particles without surface binding, even in complex matrices like whole blood samples. We demonstrate the measurement of gold nanoparticles with diverse geometries and different species of red blood cells amidst other cellular elements and proteins. These particles are identified and classified based on their photoacoustic fingerprint, which captures shape, composition, and morphology features. This work opens new avenues for rapid, reliable, and high-throughput particle and cell identification in clinical and industrial applications, offering a valuable tool for understanding complex biological and environmental systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_15373 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Whispering-Gallery-Mode Resonators for Detection and Classification of Free-Flowing Nanoparticles and Cells through Photoacoustic Signatures Liao, Jie Adolphson, Maxwell Li, Hangyue Sikder, Dipayon Kumar Lu, Chenyang Yang, Lan Biological Physics Optics Micro and nanoscale particles are crucial in various fields, from biomedical imaging to environmental processes. While conventional spectroscopy and microscopy methods for characterizing these particles often involve bulky equipment and complex sample preparation, optical micro-sensors have emerged as a promising alternative. However, their broad applicability is limited by the need for surface binding and difficulty in differentiating between sensing targets. This study introduces an optofluidic, high-throughput optical microresonator sensor that captures subtle acoustic signals generated by particles absorbing pulsed light energy. This novel approach enables real-time, label-free detection and interrogation of particles and cells in their native environments across an extended sensing volume. By leveraging unique optical absorption properties, our technique selectively detects and classifies flowing particles without surface binding, even in complex matrices like whole blood samples. We demonstrate the measurement of gold nanoparticles with diverse geometries and different species of red blood cells amidst other cellular elements and proteins. These particles are identified and classified based on their photoacoustic fingerprint, which captures shape, composition, and morphology features. This work opens new avenues for rapid, reliable, and high-throughput particle and cell identification in clinical and industrial applications, offering a valuable tool for understanding complex biological and environmental systems. |
| title | Whispering-Gallery-Mode Resonators for Detection and Classification of Free-Flowing Nanoparticles and Cells through Photoacoustic Signatures |
| topic | Biological Physics Optics |
| url | https://arxiv.org/abs/2411.15373 |