Department of Physics and Astronomy, University of Rochester, Rochester, New York 14627, USA.
ACS Nano. 2010 Mar 23;4(3):1305-12. doi: 10.1021/nn901889v.
The reliable detection, sizing, and sorting of viruses and nanoparticles is important for biosensing, environmental monitoring, and quality control. Here we introduce an optical detection scheme for the real-time and label-free detection and recognition of single viruses and larger proteins. The method makes use of nanofluidic channels in combination with optical interferometry. Elastically scattered light from single viruses traversing a stationary laser focus is detected with a differential heterodyne interferometer and the resulting signal allows single viruses to be characterized individually. Heterodyne detection eliminates phase variations due to different particle trajectories, thus improving the recognition accuracy as compared to standard optical interferometry. We demonstrate the practicality of our approach by resolving nanoparticles of various sizes, and detecting and recognizing different species of human viruses from a mixture. The detection system can be readily integrated into larger nanofluidic architectures for practical applications.
可靠地检测、定量和分类病毒和纳米颗粒对于生物传感、环境监测和质量控制非常重要。在这里,我们介绍了一种用于实时、无标记检测和识别单个病毒和较大蛋白质的光学检测方案。该方法利用纳米流道与光学干涉相结合。单病毒穿过静态激光焦点时的弹性散射光由差动外差干涉仪检测,得到的信号允许对单个病毒进行单独表征。外差检测消除了由于不同粒子轨迹引起的相位变化,因此与标准光学干涉相比,提高了识别精度。我们通过分辨各种尺寸的纳米颗粒,并从混合物中检测和识别不同种类的人类病毒,证明了我们方法的实用性。该检测系统可以很容易地集成到更大的纳米流道结构中,以用于实际应用。