ラベルなしで自由流動する粒子を検出・分類する新センサー(New sensor detects, classifies freely flowing particles without labels)

2026-10-08 ワシントン大学セントルイス校

米国ワシントン大学セントルイス校(WashU)の研究チームは、液体中を自由に流れる微粒子や細胞を、標識物質を付加せずに検出・分類できる高感度センサーを開発した。研究では、光の共振現象を利用するウィスパリングギャラリーモード(WGM)共振器と、光音響効果、マイクロ流体技術、機械学習を組み合わせた。短いレーザーパルスを粒子に照射すると、粒子の熱膨張によって微弱な音響波が発生する。この音響波をガラス製マイクロバブル共振器で検出し、得られた信号を機械学習で解析することで、センサー表面に粒子を接触・固定させずに、その特徴を識別できる。研究チームは、5種類の動物の全血試料を用いて検証し、複雑な血液中でも粒子を検出・分類できることを示した。従来の光学センサーでは、粒子が検出面の近傍を通過する必要があり、希少細胞の検出が課題だった。本技術は、循環腫瘍細胞などの希少細胞の検出、早期疾患診断、環境モニタリングへの応用が期待される。

ラベルなしで自由流動する粒子を検出・分類する新センサー(New sensor detects, classifies freely flowing particles without labels)

Lan Yang’s lab has unlocked new capabilities for whispering-gallery-mode-based sensors by extending the range beyond the immediate surface while preserving the exceptional sensitivity that has made these sensors so powerful. (Image: Yang lab)

<関連情報>

光音響特性による自由流動ナノ粒子および細胞の検出と分類のためのウィスパリングギャラリーモード共振器 Whispering-gallery-mode resonators for detection and classification of free-flowing nanoparticles and cells through photoacoustic signatures

Jie Liao, Maxwell Adolphson, Hangyue Li, Dipayon Kumar Sikder, Chenyang Lu & Lan Yang

Light: Science & Applications  Published:11 December 2025

DOI:https://doi.org/10.1038/s41377-025-01978-9

Abstract

Micro and nanoscale particles have played crucial roles across diverse fields, from biomedical imaging and environmental processes to early disease diagnosis, influencing numerous scientific research and industrial applications. Their unique characteristics demand accurate detection, characterization, and identification. However, conventional spectroscopy and microscopy commonly used to characterize and identify tiny objects often involve bulky equipment and intricate, time-consuming sample preparation. Over the past two decades, optical micro-sensors have emerged as a promising sensor technology with their high sensitivity and compact configuration. However, their broad applicability is constrained by the requirement of surface binding for selective sensing and the difficulty in differentiating between various sensing targets, which limits their application in detecting targets in their native state or in complex biological samples. Developing label-free and immobilization-free sensing techniques that can directly detect target particles in complex solutions is crucial for overcoming the inherent limitations of current biosensors. In this study, we design and demonstrate an optofluidic, high throughput, ultra-sensitive optical microresonator sensor that can capture subtle acoustic signals, generated by tiny particles from the absorption of pulsed light energy, providing photoacoustic spectroscopy information for real-time, label-free detection and interrogation of particles and cells in their native solution environments across an extended sensing volume. Leveraging unique optical absorption of the targets, our technique can selectively detect and classify particles flowing through the sensor systems without the need for surface binding, even in a complex sample matrix, such as whole blood samples. We showcase the measurement of gold nanoparticles with diverse geometries and different species of red blood cells in the presence of other cellular elements and a wide variety of proteins. These particles are effectively identified and classified based on their photoacoustic fingerprint that captures particle shape, composition, molecule properties, and morphology features. This work opens up new avenues to achieve 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.

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