Label-free imaging, detection, and mass measurement of single viruses by surface plasmon resonance

Wang, Shaopeng; Shan, Xiaonan; Patel, Urmez; Huang, Xinping; Jin, Lu; Li, Jinghong; Tao, Nongjian

doi:10.1073/pnas.1005264107

Cited by 333 publications

(354 citation statements)

References 22 publications

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“…AFM can operate in aqueous solutions, but it is usually too slow to follow fast binding of ligands with bacteria, and the scanning AFM probe may perturb the binding process. In this study, we present a plasmonic imaging technique Wang et al, 2010Wang et al, , 2012 ( Fig. 1a) to study and quantify the interactions of a single E. Coli O157:H7 cell with an antibody, and perform statistical analysis of the bacterial heterogeneity.…”

Section: Introductionmentioning

confidence: 99%

Plasmonic imaging of protein interactions with single bacterial cells

Syal

Wang

Shan

et al. 2015

Biosensors and Bioelectronics

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Quantifying the interactions of bacteria with external ligands is fundamental to the understanding of pathogenesis, antibiotic resistance, immune evasion, and mechanism of antimicrobial action. Due to inherent cell--to--cell heterogeneity in a microbial population, each bacterium interacts differently with its environment. This large variability is washed out in bulk assays, and there is a need of techniques that can quantify interactions of bacteria with ligands at the single bacterium level.In this work, we present a label--free and real--time plasmonic imaging technique to

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Section: Introductionmentioning

confidence: 99%

Plasmonic imaging of protein interactions with single bacterial cells

Syal

Wang

Shan

et al. 2015

Biosensors and Bioelectronics

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“…The strongly tilted illumination and the aberrations introduced by the prism strongly limit the resolution of the image that can be obtained. An elegant solution to overcome this limitation is the one exploited by Wang et al [103], by adopting an illumination/collection scheme similar to the one used in total internal reflection imaging (see Figure 7D) and compatible with a high-magnification, high-numerical-aperture objective. With this method, named SPR microscopy (SPRM), the authors demonstrated the real-time detection of the binding of single viral particles (influenza virus) on the sensing surface.…”

Section: Digital Detection Of Bionanoparticlesmentioning

confidence: 99%

Emerging applications of label-free optical biosensors

et al. 2017

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Abstract:Innovative technical solutions to realize optical biosensors with improved performance are continuously proposed. Progress in material fabrication enables developing novel substrates with enhanced optical responses. At the same time, the increased spectrum of available biomolecular tools, ranging from highly specific receptors to engineered bioconjugated polymers, facilitates the preparation of sensing surfaces with controlled functionality. What remains often unclear is to which extent this continuous innovation provides effective breakthroughs for specific applications. In this review, we address this challenging question for the class of label-free optical biosensors, which can provide a direct signal upon molecular binding without using secondary probes. Label-free biosensors have become a consolidated approach for the characterization and screening of molecular interactions in research laboratories. However, in the last decade, several examples of other applications with high potential impact have been proposed. We review the recent advances in label-free optical biosensing technology by focusing on the potential competitive advantage provided in selected emerging applications, grouped on the basis of the target type. In particular, direct and real-time detection allows the development of simpler, compact, and rapid analytical methods for different kinds of targets, from proteins to DNA and viruses. The lack of secondary interactions facilitates the binding of small-molecule targets and minimizes the perturbation in single-molecule detection. Moreover, the intrinsic versatility of label-free sensing makes it an ideal platform to be integrated with biomolecular machinery with innovative functionality, as in case of the molecular tools provided by DNA nanotechnology.

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“…Mainly, restrictions stemming from lateral resolution, SPR-based sensors remained useless for detection of viruses and virus-like particles [78]. However, in 2010, Wang et al showed that with the right surface chemistry and functionalization, imaging and detection of virus particles on SPRi surface are achievable [48]. The diffraction patterns created by surface plasmon waves of the individual viral particle scattering were used to identify the particles and distinguish them from the background noise and interference patterns.…”

Section: Importance Of Surface Morphology In Single Particle Optical mentioning

confidence: 99%

Surface chemistry and morphology in single particle optical imaging

et al. 2017

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Biological nanoparticles such as viruses and exosomes are important biomarkers for a range of medical conditions, from infectious diseases to cancer. Biological sensors that detect whole viruses and exosomes with high specificity, yet without additional labeling, are promising because they reduce the complexity of sample preparation and may improve measurement quality by retaining information about nanoscale physical structure of the bio-nanoparticle (BNP). Towards this end, a variety of BNP biosensor technologies have been developed, several of which are capable of enumerating the precise number of detected viruses or exosomes and analyzing physical properties of each individual particle. Optical imaging techniques are promising candidates among broad range of label-free nanoparticle detectors. These imaging BNP sensors detect the binding of single nanoparticles on a flat surface functionalized with a specific capture molecule or an array of multiplexed capture probes. The functionalization step confers all molecular specificity for the sensor's target but can introduce an unforeseen problem; a rough and inhomogeneous surface coating can be a source of noise, as these sensors detect small local changes in optical refractive index. In this paper, we review several optical technologies for label-free BNP detectors with a focus on imaging systems. We compare the surface-imaging methods including dark-field, surface plasmon resonance imaging and interference reflectance imaging. We discuss the importance of ensuring consistently uniform and smooth surface coatings of capture molecules for these types of biosensors and finally summarize several methods that have been developed towards addressing this challenge.

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Label-free imaging, detection, and mass measurement of single viruses by surface plasmon resonance

Cited by 333 publications

References 22 publications

Plasmonic imaging of protein interactions with single bacterial cells

Plasmonic imaging of protein interactions with single bacterial cells

Emerging applications of label-free optical biosensors

Surface chemistry and morphology in single particle optical imaging

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