1
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Sjöberg M, Olsén E, Mapar M, Parkkila P, Niederkofler S, Mohammadi S, Jing Y, Emilsson G, Lindfors L, Agnarsson B, Höök F. Multiparametric functional characterization of individual lipid nanoparticles using surface-sensitive light-scattering microscopy. Proc Natl Acad Sci U S A 2025; 122:e2426601122. [PMID: 40402247 DOI: 10.1073/pnas.2426601122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2024] [Accepted: 04/21/2025] [Indexed: 05/23/2025] Open
Abstract
The most efficient lipid nanoparticles (LNPs) for gene therapeutics rely on specific lipids that protect the oligonucleotide cargo and aid cellular uptake and subsequent endosomal escape. Yet, the efficacy of current state-of-the-art LNP formulations remains low, a few percent at best. A deeper understanding of how LNP cargo, lipid composition, stoichiometry, size, structure, and pH-induced conformational changes influence their efficiency is therefore necessary for improved design. Given the variability of these properties, preferred screening methods should offer single-particle-resolved multiparametric characterization. In this work, we employ combined surface-sensitive fluorescence and label-free scattering microscopy with single LNP resolution, which when integrated with microfluidics for liquid exchange between media of varying refractive index, enables quantification of LNP size, refractive index, and cargo content. We investigate two LNP formulations that, while similar in size and mRNA content, exhibit differences in functional mRNA delivery. Correlating size with the content of Cy5-labeled mRNA revealed that the cargo scaled with LNP volume for both types of LNPs, while the refractive index varied marginally across LNP size. While this multiparametric fingerprinting alone could not distinguish the two LNP formulations, we use the same experimental platform to show that their difference in fusogenicity to a supporting lipid bilayer under early endosomal conditions (drop in pH from 7.4 to 6.0) correlates with observed differences in in vitro cellular data. This highlights a limitation of the current state-of-the-art toolbox for in situ LNP characterization, which generally focuses on structural properties of suspended LNPs, which may not adequately capture functional performance.
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Affiliation(s)
- Mattias Sjöberg
- Division of Nano and Biophysics, Department of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden
- Nanolyze, Gothenburg 431 83, Sweden
| | - Erik Olsén
- Division of Nano and Biophysics, Department of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden
| | - Mokhtar Mapar
- Division of Nano and Biophysics, Department of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden
| | - Petteri Parkkila
- Division of Nano and Biophysics, Department of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden
| | - Simon Niederkofler
- Division of Nano and Biophysics, Department of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden
| | - Sara Mohammadi
- Division of Nano and Biophysics, Department of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden
| | - Yujia Jing
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D, AstraZeneca, Gothenburg 431 83, Sweden
| | - Gustav Emilsson
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D, AstraZeneca, Gothenburg 431 83, Sweden
| | - Lennart Lindfors
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D, AstraZeneca, Gothenburg 431 83, Sweden
| | - Björn Agnarsson
- Division of Nano and Biophysics, Department of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden
| | - Fredrik Höök
- Division of Nano and Biophysics, Department of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden
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2
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Pereira D, Wieduwilt T, Hauswald W, Zeisberger M, Ferreira MS, Schmidt MA. 3D nanoprinted fiber-interfaced hollow-core waveguides for high-accuracy nanoparticle tracking analysis. LIGHT, SCIENCE & APPLICATIONS 2025; 14:197. [PMID: 40374606 DOI: 10.1038/s41377-025-01827-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Revised: 02/18/2025] [Accepted: 03/13/2025] [Indexed: 05/17/2025]
Abstract
The integration of functional components into flexible photonic environments is a critical area of research in integrated photonics and is essential for high-precision sensing. This work presents a novel concept of interfacing square-core hollow-core waveguides with commercially available optical fibers using 3D nanoprinting, and demonstrates its practical relevance through a nanoscience-based characterization technique. In detail, this innovative concept results in a monolithic, fully fiber-integrated device with key advantages such as alignment-free operation, high-purity fundamental mode excitation, full polarization control, and a unique handling flexibility. For the first time, the application potential of a fiber-interfaced waveguide in nanoscale analysis is demonstrated by performing nanoparticle-tracking-analysis experiments. These experiments involve the tracking and analysis of individual gold nanospheres diffusing in the hollow core waveguide, enabled by nearly aberration-free imaging, extended observation times, and homogeneous light-line illumination. The study comprehensively covers design strategy, experimental implementation, key principles, optical characterization, and practical applications. The fiber-interfaced hollow-core waveguide concept offers significant potential for applications in bioanalytics, environmental sciences, quantum technologies, optical manipulation, and life sciences. It also paves the way for the development of novel all-fiber devices that exploit enhanced light-matter interaction in a monolithic form suitable for flexible and remote applications.
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Affiliation(s)
- Diana Pereira
- Leibniz Institute of Photonic Technology, Jena, Germany
- i3N & Physics Department, University of Aveiro, Campus de Santiago, Aveiro, Portugal
| | | | | | | | - Marta S Ferreira
- i3N & Physics Department, University of Aveiro, Campus de Santiago, Aveiro, Portugal
| | - Markus A Schmidt
- Leibniz Institute of Photonic Technology, Jena, Germany.
- Abbe Center of Photonics and Faculty of Physics, Friedrich Schiller University Jena, Jena, Germany.
- Otto Schott Institute of Materials Research (OSIM), Friedrich Schiller University Jena, Jena, Germany.
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3
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Asor R, Loewenthal D, van Wee R, Benesch JLP, Kukura P. Mass Photometry. Annu Rev Biophys 2025; 54:379-399. [PMID: 40327438 DOI: 10.1146/annurev-biophys-061824-111652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2025]
Abstract
Mass photometry (MP) is a technology for the mass measurement of biological macromolecules in solution. Its mass accuracy and resolution have transformed label-free optical detection into a quantitative measurement, enabling the identification of distinct species in a mixture and the characterization of their relative abundances. Its applicability to a variety of biomolecules, including polypeptides, nucleic acids, lipids, and sugars, coupled with the ability to quantify heterogeneity, interaction energies, and kinetics, has driven the rapid and widespread adoption of MP across the life sciences community. These applications have been largely orthogonal to those traditionally associated with microscopy, such as detection, imaging, and tracking, instead focusing on the constituents of biomolecular complexes and their change with time. Here, we present an overview of the origins of MP, its current applications, and future improvements that will further expand its scope.
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Affiliation(s)
- Roi Asor
- Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, United Kingdom;
- Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford, United Kingdom
| | - Dan Loewenthal
- Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, United Kingdom;
- Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford, United Kingdom
| | - Raman van Wee
- Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, United Kingdom;
- Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford, United Kingdom
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
| | - Justin L P Benesch
- Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, United Kingdom;
- Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford, United Kingdom
| | - Philipp Kukura
- Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, United Kingdom;
- Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford, United Kingdom
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4
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Iarossi M, Verma NC, Bhattacharya I, Meller A. The Emergence of Nanofluidics for Single-Biomolecule Manipulation and Sensing. Anal Chem 2025; 97:8641-8653. [PMID: 40244645 PMCID: PMC12044595 DOI: 10.1021/acs.analchem.4c06684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2024] [Revised: 03/16/2025] [Accepted: 04/08/2025] [Indexed: 04/18/2025]
Abstract
Driven by recent advancements in nanofabrication techniques, single-molecule sensing and manipulations in nanofluidic devices are rapidly evolving. These sophisticated biosensors have already had significant impacts on basic research as well as on applications in molecular diagnostics. The nanoscale dimensions of these devices introduce new physical phenomena by confining the biomolecules in at least one dimension, creating effects such as biopolymer linearization, stretching, and separation by mass that are utilized to enhance the biomolecule sensing resolutions. At the same time, the suppressed diffusional motion allows for better single-molecule SNR (signal-to-noise ratio) sensing over time. In particular, nanofluidic devices based on nanochannels have been established as promising technologies for the linearization of ultralong genomic DNA molecules and for optical genome mapping, opening a window to directly observe and infer genome organization. More recently, nanochannels have shown promising capabilities for single-molecule protein sizing, separation, and identification. Consequently, this technology is attracting remarkable interest for applications in single-molecule proteomics. In this review, we discuss the recent advancements of nanochannel-based technologies, focusing on their applications for single-molecule sensing and the characterization of a wide range of biomolecules.
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Affiliation(s)
- Marzia Iarossi
- Faculty of Biomedical Engineering, Technion -IIT, Haifa 3200003, Israel
| | | | - Ivy Bhattacharya
- Faculty of Biomedical Engineering, Technion -IIT, Haifa 3200003, Israel
| | - Amit Meller
- Faculty of Biomedical Engineering, Technion -IIT, Haifa 3200003, Israel
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5
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Stanley CV, Xiao Y, Ling T, Li DS, Chen P. Opto-digital molecular analytics. Chem Soc Rev 2025; 54:3557-3577. [PMID: 40035639 DOI: 10.1039/d5cs00023h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2025]
Abstract
In contrast to conventional ensemble-average-based methods, opto-digital molecular analytic approaches digitize detection by physically partitioning individual detection events into discrete compartments or directly locating and analyzing the signals from single molecules. The sensitivity can be enhanced by signal amplification reactions, signal enhancement interactions, labelling by strong signal emitters, advanced optics, image processing, and machine learning, while specificity can be improved by designing target-selective probes and profiling molecular dynamics. With the capabilities to attain a limit of detection several orders lower than the conventional methods, reveal intrinsic molecular information, and achieve multiplexed analysis using a small-volume sample, the emerging opto-digital molecular analytics may be revolutionarily instrumental to clinical diagnosis, molecular chemistry and science, drug discovery, and environment monitoring. In this article, we provide a comprehensive review of the recent advances, offer insights into the underlying mechanisms, give comparative discussions on different strategies, and discuss the current challenges and future possibilities.
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Affiliation(s)
- Chelsea Violita Stanley
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore.
- Lee Kong Chian School of Medicine, Institute for Digital Molecular Analytics and Science, Nanyang Technological University, 636921, Singapore
| | - Yi Xiao
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore.
- Lee Kong Chian School of Medicine, Institute for Digital Molecular Analytics and Science, Nanyang Technological University, 636921, Singapore
| | - Tong Ling
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore.
| | - Dong-Sheng Li
- College of Materials and Chemical Engineering, Key Laboratory of Inorganic Nonmetallic Crystalline and Energy Conversion Materials, China Three Gorges University, Yichang, 443002, P. R. China
| | - Peng Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore.
- Lee Kong Chian School of Medicine, Institute for Digital Molecular Analytics and Science, Nanyang Technological University, 636921, Singapore
- Skin Research Institute of Singapore, 308232, Singapore
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6
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Valderas-Gutiérrez J, Davtyan R, Prinz CN, Sparr E, Jönsson P, Linke H, Höök F. Comparative Kinetics of Supported Lipid Bilayer Formation on Silica Coated Vertically Oriented Highly Curved Nanowires and Planar Silica Surfaces. NANO LETTERS 2025; 25:3085-3092. [PMID: 39914804 PMCID: PMC11869362 DOI: 10.1021/acs.nanolett.4c05303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2024] [Revised: 01/28/2025] [Accepted: 01/30/2025] [Indexed: 02/27/2025]
Abstract
Supported lipid bilayers (SLBs), formed via lipid vesicle adsorption on highly curved silica surfaces, are widely used in biosensor applications and as models for curved cell membranes. However, SLB formation is often hindered on convex structures with radii comparable to the vesicles. In this study, lightguiding semiconductor nanowires (NWs), engineered for fluorescence signal enhancement, were used to compare the kinetics of SLB formation on vertically oriented NWs and planar silica surfaces. Time resolved fluorescence microscopy with single-molecule sensitivity revealed that while vesicle adsorption rates were similar on both surfaces lateral expansion of the SLB was up to three times faster on NWs than on the planar control. This accelerated expansion is attributed to lower energy penalties when SLBs spread along the cylindrical NWs compared with a planar surface, accompanied by accelerated SLB expansion driven by the merging of the SLB with excess lipids from vesicles accumulated on the NWs.
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Affiliation(s)
- Julia Valderas-Gutiérrez
- NanoLund, Lund University, P.O. Box 118, SE-22100 Lund, Sweden
- Solid
State Physics, Lund University, P.O. Box 118, SE-22100 Lund, Sweden
| | - Rubina Davtyan
- NanoLund, Lund University, P.O. Box 118, SE-22100 Lund, Sweden
- Solid
State Physics, Lund University, P.O. Box 118, SE-22100 Lund, Sweden
| | - Christelle N. Prinz
- NanoLund, Lund University, P.O. Box 118, SE-22100 Lund, Sweden
- Solid
State Physics, Lund University, P.O. Box 118, SE-22100 Lund, Sweden
| | - Emma Sparr
- Physical
Chemistry, Lund University, P.O. Box 124, SE-22100 Lund, Sweden
| | - Peter Jönsson
- Physical
Chemistry, Lund University, P.O. Box 124, SE-22100 Lund, Sweden
| | - Heiner Linke
- NanoLund, Lund University, P.O. Box 118, SE-22100 Lund, Sweden
- Solid
State Physics, Lund University, P.O. Box 118, SE-22100 Lund, Sweden
| | - Fredrik Höök
- NanoLund, Lund University, P.O. Box 118, SE-22100 Lund, Sweden
- Department
of Physics, Chalmers University of Technology, SE-41296 Göteborg, Sweden
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7
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Fan Z, You X, Zhang D. Planar device-enabled speckle illumination for dark-field label-free imaging beyond the diffraction limit. Proc Natl Acad Sci U S A 2025; 122:e2423223122. [PMID: 39977320 PMCID: PMC11874417 DOI: 10.1073/pnas.2423223122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2024] [Accepted: 01/21/2025] [Indexed: 02/22/2025] Open
Abstract
Dark-field microscopy is a technique used in optical microscopy to increase the contrast in unstained samples, making it possible to observe details that would otherwise be difficult to see under bright-field microscopy; thus, it has been widely employed in biological research, material science, and medical diagnostics. However, most dark-field microscopy methods cannot overcome the optical diffraction limit and require a bulky dark-field condenser and precise alignment of each optical element. In this study, we introduce a planar photonic device that can produce random speckles for dark-field illumination and improve the optical resolution. This planar device is made of random distribution fibers for injection of a laser beam, a scattering layer to produce random speckles, a one-dimensional photonic crystal (1DPC) to produce a hollow cone of light, and a metallic film to increase the energy efficiency. This planar device can work as a substrate for conventional microscopy. Taking advantage of the hollow cone of light with random speckles generated by the proposed planar device, we achieve a high-contrast, label-free image with a 1.55-fold improvement in spatial resolution. Furthermore, random evanescent speckles can be generated on the 1DPC just through tuning the incident wavelength, which demonstrates the ability for optical surface imaging beyond the diffraction limit. The advantage of this technique is that it does not require complex optical system or precise knowledge of the illumination pattern. This study will expand the potential applications of dark-field microscopy and provide insights into samples that might otherwise be invisible under traditional dark-field microscopy.
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Affiliation(s)
- Zetao Fan
- Advanced Laser Technology Laboratory of Anhui Province, Department of Optics and Optical Engineering, University of Science and Technology of China, Hefei, Anhui230026, China
| | - Xinxiang You
- Advanced Laser Technology Laboratory of Anhui Province, Department of Optics and Optical Engineering, University of Science and Technology of China, Hefei, Anhui230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei230088, China
| | - Douguo Zhang
- Advanced Laser Technology Laboratory of Anhui Province, Department of Optics and Optical Engineering, University of Science and Technology of China, Hefei, Anhui230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei230088, China
- Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui230026, China
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8
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Saavedra Salazar CA, Sole-Barber D, Wan S, Rasch JK, Reitz M, Cullinane B, Asgari N, Needham LM, Yuen-Zhou J, Goldsmith RH. The Origin of Single-Molecule Sensitivity in Label-Free Solution-Phase Optical Microcavity Detection. ACS NANO 2025; 19:6342-6356. [PMID: 39919202 DOI: 10.1021/acsnano.4c16276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2025]
Abstract
Fiber Fabry-Perot microcavities (FFPCs) enhance light-matter interactions by localizing light in time and space. Such FFPCs are at the heart of this powerful detection scheme exploiting photothermal nonlinearities and Pound-Drever-Hall frequency locking that enabled label-free profiling of single solution-phase biomolecules with unprecedented sensitivity. Here, we deploy a combination of experiment and simulation to provide a quantitative mechanism for the observed single-molecule sensitivity and achieve quantitative agreement with experiment. A key element of the mechanism is maintaining the FFPC in an unstable regime and allowing it to rapidly shift between hot and cold photothermal equilibria upon perturbation. We show how Brownian molecular trajectories, introducing resonance fluctuations less than 1000th of the already narrow microcavity line width, can produce selective and highly amplified responses. Such perturbations are found to exist in a specific and tunable frequency window termed the molecular velocity filter window. The model's predictive capacity suggests it will be an important tool to identify additional modes of sensitivity to single-molecule hydrodynamic behavior.
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Affiliation(s)
| | - Daniel Sole-Barber
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Sushu Wan
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Julia K Rasch
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Michael Reitz
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States
| | - Brendan Cullinane
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Nasrin Asgari
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Lisa-Maria Needham
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Joel Yuen-Zhou
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States
| | - Randall H Goldsmith
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
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9
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Altenburger B, Fritzsche J, Langhammer C. Visible Light Spectroscopy of Liquid Solutes from Femto- to Attoliter Volumes Inside a Single Nanofluidic Channel. ACS NANO 2025; 19:2857-2869. [PMID: 39763411 PMCID: PMC11760169 DOI: 10.1021/acsnano.4c15878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2024] [Revised: 12/18/2024] [Accepted: 12/23/2024] [Indexed: 01/22/2025]
Abstract
UV-vis spectroscopy is a workhorse in analytical chemistry that finds application in life science, organic synthesis, and energy technologies like photocatalysis. In its traditional implementation with cuvettes, it requires sample volumes in the milliliter range. Here, we show how nanofluidic scattering spectroscopy (NSS), which measures visible light scattered from a single nanochannel in a spectrally resolved way, can reduce this sample volume to the attoliter range for solute concentrations in the mM regime, which corresponds to as few as 105 probed molecules. The connection of the nanochannel to a microfluidic in-and-outlet system enables such measurements in continuous flow conditions, and the integrated online optical reference system ensures their long-term stability. On the examples of the nonabsorbing solutes NaCl and H2O2 and the dyes Brilliant Blue, Allura Red, and Fluorescein, we demonstrate that spectral fingerprints can be obtained with good accuracy and that solute concentrations inside the nanochannel can be determined based on NSS-spectra. Furthermore, by applying a reverse Kramers-Kronig transformation to NSS-spectra, we show that the molar extinction coefficient of the dye solutes can be extracted in good agreement with the literature values. These results thus advertise NSS as a versatile tool for the spectroscopic analysis of solutes in situations where nanoscopic sample volumes, as well as continuous flow measurements are critical, e.g., in single particle catalysis or nanoscale flow cytometry.
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Affiliation(s)
- Björn Altenburger
- Department of Physics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Joachim Fritzsche
- Department of Physics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Christoph Langhammer
- Department of Physics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
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10
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Carpenter W, Lavania AA, Squires AH, Moerner WE. Label-Free Anti-Brownian Trapping of Single Nanoparticles in Solution. THE JOURNAL OF PHYSICAL CHEMISTRY. C, NANOMATERIALS AND INTERFACES 2024; 128:20275-20286. [PMID: 39634022 PMCID: PMC11613540 DOI: 10.1021/acs.jpcc.4c05878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Revised: 10/31/2024] [Accepted: 11/06/2024] [Indexed: 12/07/2024]
Abstract
Today, biomolecular nanoparticles are prevalent as diagnostic tools and molecular delivery carriers, and it is particularly useful to examine individuals within a sample population to quantify the variations between objects and directly observe the molecular dynamics involving these objects. Using interferometric scattering as a highly sensitive label-free detection scheme, we recently developed the interferometric scattering anti-Brownian electrokinetic (ISABEL) trap to hold a single nanoparticle in solution for extended optical observation. In this perspective, we describe how we implemented this trap, how it extends the capabilities of previous ABEL traps, and how we have begun to study individual carboxysomes, a fascinating biological carbon fixation nanocompartment. By monitoring single nanocompartments for seconds to minutes in the ISABEL trap using simultaneous interferometric scattering and fluorescence spectroscopy, we have demonstrated single-compartment mass measurements, cargo-loading trends, and redox sensing inside individual particles. These experiments benefit from rich multiplexed correlative measurements utilizing both scattering and fluorescence with many exciting future capabilities within reach.
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Affiliation(s)
- William
B. Carpenter
- Department
of Chemistry, Stanford University, Stanford, California 94305, United States
| | - Abhijit A. Lavania
- Department
of Applied Physics, Stanford University, Stanford, California 94305, United States
| | - Allison H. Squires
- Pritzker
School of Molecular Engineering, University
of Chicago, Chicago, Illinois 60637, United States
- Institute
for Biophysical Dynamics, University of
Chicago, Chicago, Illinois 60637, United States
- Chan
Zuckerberg Biohub Chicago, LLC, Chicago, Illinois 60642, United States
| | - W. E. Moerner
- Department
of Chemistry, Stanford University, Stanford, California 94305, United States
- Department
of Applied Physics, Stanford University, Stanford, California 94305, United States
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11
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Peters M, Zhao T, George S, Truong VG, Nic Chormaic S, Ying C, Nome RA, Gordon R. Energy landscape of conformational changes for a single unmodified protein. NPJ BIOSENSING 2024; 1:14. [PMID: 39524907 PMCID: PMC11541220 DOI: 10.1038/s44328-024-00014-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 10/10/2024] [Indexed: 11/16/2024]
Abstract
Resolving the free energy landscapes that govern protein biophysics has been obscured by ensemble averaging. While the folding dynamics of single proteins have been observed using fluorescent labels and/or tethers, a simpler and more direct measurement of the conformational changes would not require modifications to the protein. We use nanoaperture optical tweezers to resolve the energy landscape of a single unmodified protein, Bovine Serum Albumin (BSA), and quantify changes in the three-state conformation dynamics with temperature. A Markov model with Kramers' theory transition rates is used to model the dynamics, showing good agreement with the observed state transitions. This first look at the intrinsic energy landscape of proteins provides a transformative tool for protein biophysics and may be applied broadly, including mapping out the energy landscape of particularly challenging intrinsically disordered proteins.
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Affiliation(s)
- Matthew Peters
- Department of Electrical Engineering, University of Victoria, Victoria, V8W 2Y2 BC Canada
- Center for Advanced Material & Related Technologies, University of Victoria, Victoria, V8W 2Y2 BC Canada
| | - Tianyu Zhao
- Department of Electrical Engineering, University of Victoria, Victoria, V8W 2Y2 BC Canada
- Center for Advanced Material & Related Technologies, University of Victoria, Victoria, V8W 2Y2 BC Canada
| | - Sherin George
- Department of Electrical Engineering, University of Victoria, Victoria, V8W 2Y2 BC Canada
- Center for Advanced Material & Related Technologies, University of Victoria, Victoria, V8W 2Y2 BC Canada
| | - Viet Giang Truong
- Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904-0495 Japan
| | - Síle Nic Chormaic
- Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904-0495 Japan
| | - Cuifeng Ying
- Advanced Optics and Photonics Laboratory, Department of Engineering, School of Science & Technology, Nottingham Trent University, Nottingham, NG11 8NS England
| | - René A. Nome
- Institute of Chemistry, State University of Campinas, Campinas, Brazil
| | - Reuven Gordon
- Department of Electrical Engineering, University of Victoria, Victoria, V8W 2Y2 BC Canada
- Center for Advanced Material & Related Technologies, University of Victoria, Victoria, V8W 2Y2 BC Canada
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12
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Gordon R, Peters M, Ying C. Optical scattering methods for the label-free analysis of single biomolecules. Q Rev Biophys 2024; 57:e12. [PMID: 39443300 DOI: 10.1017/s0033583524000088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2024]
Abstract
Single-molecule techniques to analyze proteins and other biomolecules involving labels and tethers have allowed for new understanding of the underlying biophysics; however, the impact of perturbation from the labels and tethers has recently been shown to be significant in several cases. New approaches are emerging to measure single proteins through light scattering without the need for labels and ideally without tethers. Here, the approaches of interference scattering, plasmonic scattering, microcavity sensing, nanoaperture optical tweezing, and variants are described and compared. The application of these approaches to sizing, oligomerization, interactions, conformational dynamics, diffusion, and vibrational mode analysis is described. With early commercial successes, these approaches are poised to have an impact in the field of single-molecule biophysics.
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Affiliation(s)
- Reuven Gordon
- Department of Electrical Engineering, University of Victoria, Victoria, BC, Canada
| | - Matthew Peters
- Department of Electrical Engineering, University of Victoria, Victoria, BC, Canada
| | - Cuifeng Ying
- Advanced Optics and Photonics Laboratory, Department of Engineering, School of Science & Technology, Nottingham Trent University, Nottingham, UK
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13
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Palounek D, Vala M, Bujak Ł, Kopal I, Jiříková K, Shaidiuk Y, Piliarik M. Surpassing the Diffraction Limit in Label-Free Optical Microscopy. ACS PHOTONICS 2024; 11:3907-3921. [PMID: 39429866 PMCID: PMC11487630 DOI: 10.1021/acsphotonics.4c00745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 08/13/2024] [Accepted: 08/16/2024] [Indexed: 10/22/2024]
Abstract
Super-resolution optical microscopy has enhanced our ability to visualize biological structures on the nanoscale. Fluorescence-based techniques are today irreplaceable in exploring the structure and dynamics of biological matter with high specificity and resolution. However, the fluorescence labeling concept narrows the range of observed interactions and fundamentally limits the spatiotemporal resolution. In contrast, emerging label-free imaging methods are not inherently limited by speed and have the potential to capture the entirety of complex biological processes and dynamics. While pushing a complex unlabeled microscopy image beyond the diffraction limit to single-molecule resolution and capturing dynamic processes at biomolecular time scales is widely regarded as unachievable, recent experimental strides suggest that elements of this vision might be already in place. These techniques derive signals directly from the sample using inherent optical phenomena, such as elastic and inelastic scattering, thereby enabling the measurement of additional properties, such as molecular mass, orientation, or chemical composition. This perspective aims to identify the cornerstones of future label-free super-resolution imaging techniques, discuss their practical applications and theoretical challenges, and explore directions that promise to enhance our understanding of complex biological systems through innovative optical advancements. Drawing on both traditional and emerging techniques, label-free super-resolution microscopy is evolving to offer detailed and dynamic imaging of living cells, surpassing the capabilities of conventional methods for visualizing biological complexities without the use of labels.
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Affiliation(s)
- David Palounek
- Institute
of Photonics and Electronics, Czech Academy
of Sciences, Chaberská
1014/57, Prague 8 18200, Czech Republic
- Department
of Physical Chemistry, University of Chemistry
and Technology Prague, Technická 5, Prague 6 16628, Czech Republic
| | - Milan Vala
- Institute
of Photonics and Electronics, Czech Academy
of Sciences, Chaberská
1014/57, Prague 8 18200, Czech Republic
| | - Łukasz Bujak
- Institute
of Photonics and Electronics, Czech Academy
of Sciences, Chaberská
1014/57, Prague 8 18200, Czech Republic
| | - Ivan Kopal
- Institute
of Photonics and Electronics, Czech Academy
of Sciences, Chaberská
1014/57, Prague 8 18200, Czech Republic
- Department
of Physical Chemistry, University of Chemistry
and Technology Prague, Technická 5, Prague 6 16628, Czech Republic
| | - Kateřina Jiříková
- Institute
of Photonics and Electronics, Czech Academy
of Sciences, Chaberská
1014/57, Prague 8 18200, Czech Republic
| | - Yevhenii Shaidiuk
- Institute
of Photonics and Electronics, Czech Academy
of Sciences, Chaberská
1014/57, Prague 8 18200, Czech Republic
| | - Marek Piliarik
- Institute
of Photonics and Electronics, Czech Academy
of Sciences, Chaberská
1014/57, Prague 8 18200, Czech Republic
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14
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Walker-Gibbons R, Zhu X, Behjatian A, Bennett TJD, Krishnan M. Sensing the structural and conformational properties of single-stranded nucleic acids using electrometry and molecular simulations. Sci Rep 2024; 14:20582. [PMID: 39232063 PMCID: PMC11375218 DOI: 10.1038/s41598-024-70641-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 08/20/2024] [Indexed: 09/06/2024] Open
Abstract
Inferring the 3D structure and conformation of disordered biomolecules, e.g., single stranded nucleic acids (ssNAs), remains challenging due to their conformational heterogeneity in solution. Here, we use escape-time electrometry (ETe) to measure with sub elementary-charge precision the effective electrical charge in solution of short to medium chain length ssNAs in the range of 5-60 bases. We compare measurements of molecular effective charge with theoretically calculated values for simulated molecular conformations obtained from Molecular Dynamics simulations using a variety of forcefield descriptions. We demonstrate that the measured effective charge captures subtle differences in molecular structure in various nucleic acid homopolymers of identical length, and also that the experimental measurements can find agreement with computed values derived from coarse-grained molecular structure descriptions such as oxDNA, as well next generation ssNA force fields. We further show that comparing the measured effective charge with calculations for a rigid, charged rod-the simplest model of a nucleic acid-yields estimates of molecular structural dimensions such as linear charge spacings that capture molecular structural trends observed using high resolution structural analysis methods such as X-ray scattering. By sensitively probing the effective charge of a molecule, electrometry provides a powerful dimension supporting inferences of molecular structural and conformational properties, as well as the validation of biomolecular structural models. The overall approach holds promise for a high throughput, microscopy-based biomolecular analytical approach offering rapid screening and inference of molecular 3D conformation, and operating at the single molecule level in solution.
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Affiliation(s)
- Rowan Walker-Gibbons
- Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK
| | - Xin Zhu
- Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK
| | - Ali Behjatian
- Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK
| | - Timothy J D Bennett
- Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK
| | - Madhavi Krishnan
- Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK.
- The Kavli Institute for Nanoscience Discovery, Sherrington Road, Oxford, OX1 3QU, UK.
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15
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Needham LM, Saavedra C, Rasch JK, Sole-Barber D, Schweitzer BS, Fairhall AJ, Vollbrecht CH, Wan S, Podorova Y, Bergsten AJ, Mehlenbacher B, Zhang Z, Tenbrake L, Saimi J, Kneely LC, Kirkwood JS, Pfeifer H, Chapman ER, Goldsmith RH. Label-free detection and profiling of individual solution-phase molecules. Nature 2024; 629:1062-1068. [PMID: 38720082 PMCID: PMC11694320 DOI: 10.1038/s41586-024-07370-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 04/02/2024] [Indexed: 05/21/2024]
Abstract
Most chemistry and biology occurs in solution, in which conformational dynamics and complexation underlie behaviour and function. Single-molecule techniques1 are uniquely suited to resolving molecular diversity and new label-free approaches are reshaping the power of single-molecule measurements. A label-free single-molecule method2-16 capable of revealing details of molecular conformation in solution17,18 would allow a new microscopic perspective of unprecedented detail. Here we use the enhanced light-molecule interactions in high-finesse fibre-based Fabry-Pérot microcavities19-21 to detect individual biomolecules as small as 1.2 kDa, a ten-amino-acid peptide, with signal-to-noise ratios (SNRs) >100, even as the molecules are unlabelled and freely diffusing in solution. Our method delivers 2D intensity and temporal profiles, enabling the distinction of subpopulations in mixed samples. Notably, we observe a linear relationship between passage time and molecular radius, unlocking the potential to gather crucial information about diffusion and solution-phase conformation. Furthermore, mixtures of biomolecule isomers of the same molecular weight and composition but different conformation can also be resolved. Detection is based on the creation of a new molecular velocity filter window and a dynamic thermal priming mechanism that make use of the interplay between optical and thermal dynamics22,23 and Pound-Drever-Hall (PDH) cavity locking24 to reveal molecular motion even while suppressing environmental noise. New in vitro ways of revealing molecular conformation, diversity and dynamics can find broad potential for applications in the life and chemical sciences.
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Affiliation(s)
- Lisa-Maria Needham
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK
- School of the Biological Sciences, University of Cambridge, Cambridge, UK
| | - Carlos Saavedra
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Julia K Rasch
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Daniel Sole-Barber
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Beau S Schweitzer
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Alex J Fairhall
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Cecilia H Vollbrecht
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- Department of Chemistry and Biochemistry, Kalamazoo College, Kalamazoo, MI, USA
| | - Sushu Wan
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Yulia Podorova
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Anders J Bergsten
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Zhao Zhang
- Howard Hughes Medical Institute, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Lukas Tenbrake
- Institut für Angewandte Physik, Universität Bonn, Bonn, Germany
| | - Jovanna Saimi
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Lucy C Kneely
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Jackson S Kirkwood
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Hannes Pfeifer
- Institut für Angewandte Physik, Universität Bonn, Bonn, Germany
| | - Edwin R Chapman
- Howard Hughes Medical Institute, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
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16
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He YF, Yang SY, Lv WL, Qian C, Wu G, Zhao X, Liu XW. Deep-Learning Driven, High-Precision Plasmonic Scattering Interferometry for Single-Particle Identification. ACS NANO 2024; 18:9704-9712. [PMID: 38512797 DOI: 10.1021/acsnano.4c01411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Label-free probing of the material composition of (bio)nano-objects directly in solution at the single-particle level is crucial in various fields, including colloid analysis and medical diagnostics. However, it remains challenging to decipher the constituents of heterogeneous mixtures of nano-objects with high sensitivity and resolution. Here, we present deep-learning plasmonic scattering interferometric microscopy, which is capable of identifying the composition of nanoparticles automatically with high throughput at the single-particle level. By employing deep learning to decode the quantitative relationship between the interferometric scattering patterns of nanoparticles and their intrinsic material properties, this technique is capable of high-throughput, label-free identification of diverse nanoparticle types. We demonstrate its versatility in analyzing dynamic surface chemical reactions on single nanoparticles, revealing its potential as a universal platform for nanoparticle imaging and reaction analysis. This technique not only streamlines the process of nanoparticle characterization, but also proposes a methodology for a deeper understanding of nanoscale dynamics, holding great potential for addressing extensive fundamental questions in nanoscience and nanotechnology.
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Affiliation(s)
- Yi-Fan He
- Hefei National Laboratory for Physical Sciences at the Microscale, Chinese Academy of Sciences Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, 230026, China
| | - Si-Yu Yang
- Hefei National Laboratory for Physical Sciences at the Microscale, Chinese Academy of Sciences Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, 230026, China
| | - Wen-Li Lv
- Hefei National Laboratory for Physical Sciences at the Microscale, Chinese Academy of Sciences Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, 230026, China
| | - Chen Qian
- Hefei National Laboratory for Physical Sciences at the Microscale, Chinese Academy of Sciences Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, 230026, China
| | - Gang Wu
- Hefei National Laboratory for Physical Sciences at the Microscale, Chinese Academy of Sciences Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, 230026, China
| | - Xiaona Zhao
- Hefei National Laboratory for Physical Sciences at the Microscale, Chinese Academy of Sciences Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, 230026, China
| | - Xian-Wei Liu
- Hefei National Laboratory for Physical Sciences at the Microscale, Chinese Academy of Sciences Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, 230026, China
- Department of Applied Chemistry, University of Science and Technology of China, Hefei 230026, China
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17
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Nguyen MC, Bonnaud P, Dibsy R, Maucort G, Lyonnais S, Muriaux D, Bon P. Label-Free Single Nanoparticle Identification and Characterization in Demanding Environment, Including Infectious Emergent Virus. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2304564. [PMID: 38009767 DOI: 10.1002/smll.202304564] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 10/02/2023] [Indexed: 11/29/2023]
Abstract
Unknown particle screening-including virus and nanoparticles-are keys in medicine, industry, and also in water pollutant determination. Here, RYtov MIcroscopy for Nanoparticles Identification (RYMINI) is introduced, a staining-free, non-invasive, and non-destructive optical approach that is merging holographic label-free 3D tracking with high-sensitivity quantitative phase imaging into a compact optical setup. Dedicated to the identification and then characterization of single nano-object in solution, it is compatible with highly demanding environments, such as level 3 biological laboratories, with high resilience to external source of mechanical and optical noise. Metrological characterization is performed at the level of each single particle on both absorbing and transparent particles as well as on immature and infectious HIV, SARS-CoV-2 and extracellular vesicles in solution. The capability of RYMINI to determine the nature, concentration, size, complex refractive index and mass of each single particle without knowledge or model of the particles' response is demonstrated. The system surpasses 90% accuracy for automatic identification between dielectric/metallic/biological nanoparticles and ≈80% for intraclass chemical determination of metallic and dielectric. It falls down to 50-70% for type determination inside the biological nanoparticle's class.
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Affiliation(s)
- Minh-Chau Nguyen
- UMR 7252, CNRS, XLIM, Université de Limoges, Limoges, F-87000, France
| | - Peter Bonnaud
- UMR 7252, CNRS, XLIM, Université de Limoges, Limoges, F-87000, France
| | - Rayane Dibsy
- UMR 9004 CNRS, IRIM (Institut de Recherche en Infectiologie de Montpellier), Université de Montpellier, Montpellier, F-34293, France
| | - Guillaume Maucort
- Laboratoire Photonique Numérique et Nanosciences, University of Bordeaux, Talence, F-33400, France
- LP2N UMR 5298, Institut d'Optique Graduate School, CNRS, Talence, F-33400, France
| | - Sébastien Lyonnais
- UAR 3725 CNRS, CEMIPAI, Université de Montpellier, Montpellier, F-34000, France
| | - Delphine Muriaux
- UMR 9004 CNRS, IRIM (Institut de Recherche en Infectiologie de Montpellier), Université de Montpellier, Montpellier, F-34293, France
- UAR 3725 CNRS, CEMIPAI, Université de Montpellier, Montpellier, F-34000, France
| | - Pierre Bon
- UMR 7252, CNRS, XLIM, Université de Limoges, Limoges, F-87000, France
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18
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Halipi V, Sasanian N, Feng J, Hu J, Lubart Q, Bernson D, van Leeuwen D, Ahmadpour D, Sparr E, Esbjörner EK. Extracellular Vesicles Slow Down Aβ(1-42) Aggregation by Interfering with the Amyloid Fibril Elongation Step. ACS Chem Neurosci 2024; 15:944-954. [PMID: 38408014 PMCID: PMC10921407 DOI: 10.1021/acschemneuro.3c00655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 02/28/2024] Open
Abstract
Formation of amyloid-β (Aβ) fibrils is a central pathogenic feature of Alzheimer's disease. Cell-secreted extracellular vesicles (EVs) have been suggested as disease modulators, although their exact roles and relations to Aβ pathology remain unclear. We combined kinetics assays and biophysical analyses to explore how small (<220 nm) EVs from neuronal and non-neuronal human cell lines affected the aggregation of the disease-associated Aβ variant Aβ(1-42) into amyloid fibrils. Using thioflavin-T monitored kinetics and seeding assays, we found that EVs reduced Aβ(1-42) aggregation by inhibiting fibril elongation. Morphological analyses revealed this to result in the formation of short fibril fragments with increased thicknesses and less apparent twists. We suggest that EVs may have protective roles by reducing Aβ(1-42) amyloid loads, but also note that the formation of small amyloid fragments could be problematic from a neurotoxicity perspective. EVs may therefore have double-edged roles in the regulation of Aβ pathology in Alzheimer's disease.
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Affiliation(s)
- Vesa Halipi
- Division
of Chemical Biology, Department of Life Sciences, Chalmers University of Technology, Kemivägen 10, S-412 96 Gothenburg, Sweden
| | - Nima Sasanian
- Division
of Chemical Biology, Department of Life Sciences, Chalmers University of Technology, Kemivägen 10, S-412 96 Gothenburg, Sweden
| | - Julia Feng
- Division
of Chemical Biology, Department of Life Sciences, Chalmers University of Technology, Kemivägen 10, S-412 96 Gothenburg, Sweden
| | - Jing Hu
- Division
of Physical Chemistry, Department of Chemistry, Lund University, SE-22100 Lund, Sweden
| | - Quentin Lubart
- Division
of Chemical Biology, Department of Life Sciences, Chalmers University of Technology, Kemivägen 10, S-412 96 Gothenburg, Sweden
| | - David Bernson
- Division
of Chemical Biology, Department of Life Sciences, Chalmers University of Technology, Kemivägen 10, S-412 96 Gothenburg, Sweden
| | - Daniel van Leeuwen
- Division
of Chemical Biology, Department of Life Sciences, Chalmers University of Technology, Kemivägen 10, S-412 96 Gothenburg, Sweden
| | - Doryaneh Ahmadpour
- Division
of Chemical Biology, Department of Life Sciences, Chalmers University of Technology, Kemivägen 10, S-412 96 Gothenburg, Sweden
| | - Emma Sparr
- Division
of Physical Chemistry, Department of Chemistry, Lund University, SE-22100 Lund, Sweden
| | - Elin K. Esbjörner
- Division
of Chemical Biology, Department of Life Sciences, Chalmers University of Technology, Kemivägen 10, S-412 96 Gothenburg, Sweden
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19
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Zhou X, Chieng A, Wang S. Label-Free Optical Imaging of Nanoscale Single Entities. ACS Sens 2024; 9:543-554. [PMID: 38346398 PMCID: PMC10990724 DOI: 10.1021/acssensors.3c02526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
The advancement of optical microscopy technologies has achieved imaging of nanoscale objects, including nanomaterials, virions, organelles, and biological molecules, at the single entity level. Recently developed plasmonic and scattering based optical microscopy technologies have enabled label-free imaging of single entities with high spatial and temporal resolutions. These label-free methods eliminate the complexity of sample labeling and minimize the perturbation of the analyte native state. Additionally, these imaging-based methods can noninvasively probe the dynamics and functions of single entities with sufficient throughput for heterogeneity analysis. This perspective will review label-free single entity imaging technologies and discuss their principles, applications, and key challenges.
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Affiliation(s)
- Xinyu Zhou
- Biodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, Arizona 85287, United States
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85287, United States
| | - Andy Chieng
- Biodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, Arizona 85287, United States
- School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States
| | - Shaopeng Wang
- Biodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, Arizona 85287, United States
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85287, United States
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20
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Peters M, McIntosh D, Branzan Albu A, Ying C, Gordon R. Label-Free Tracking of Proteins through Plasmon-Enhanced Interference. ACS NANOSCIENCE AU 2024; 4:69-75. [PMID: 38406310 PMCID: PMC10885339 DOI: 10.1021/acsnanoscienceau.3c00045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 02/27/2024]
Abstract
Single unmodified biomolecules in solution can be observed and characterized by interferometric imaging approaches; however, Rayleigh scattering limits this to larger proteins (typically >30 kDa). We observe real-time image tracking of unmodified proteins down to 14 kDa using interference imaging enhanced by surface plasmons launched at an aperture in a metal film. The larger proteins show slower diffusion, quantified by tracking. When the diffusing protein is finally trapped by the nanoaperture, we perform complementary power spectral density and noise amplitude analysis, which gives information about the protein. This approach allows for rapid protein characterization with minimal sample preparation and opens the door to characterizing protein interactions in real time.
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Affiliation(s)
- Matthew Peters
- Department
of Electrical Engineering, University of
Victoria, Victoria, British Columbia V8W 2Y2, Canada
- Centre
for Advanced Materials & Related Technologies (CAMTEC), University of Victoria, Victoria, British Columbia V8W 2Y2, Canada
| | - Declan McIntosh
- Department
of Electrical Engineering, University of
Victoria, Victoria, British Columbia V8W 2Y2, Canada
| | - Alexandra Branzan Albu
- Department
of Electrical Engineering, University of
Victoria, Victoria, British Columbia V8W 2Y2, Canada
| | - Cuifeng Ying
- Advanced
Optics and Photonics Laboratory, Department of Engineering, School
of Science & Technology, Nottingham
Trent University, Nottingham NG11 8NS, U.K.
| | - Reuven Gordon
- Department
of Electrical Engineering, University of
Victoria, Victoria, British Columbia V8W 2Y2, Canada
- Centre
for Advanced Materials & Related Technologies (CAMTEC), University of Victoria, Victoria, British Columbia V8W 2Y2, Canada
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21
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Olsén E, García Rodríguez B, Skärberg F, Parkkila P, Volpe G, Höök F, Sundås Midtvedt D. Dual-Angle Interferometric Scattering Microscopy for Optical Multiparametric Particle Characterization. NANO LETTERS 2024; 24:1874-1881. [PMID: 38295760 PMCID: PMC10870763 DOI: 10.1021/acs.nanolett.3c03539] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 02/15/2024]
Abstract
Traditional single-nanoparticle sizing using optical microscopy techniques assesses size via the diffusion constant, which requires suspended particles to be in a medium of known viscosity. However, these assumptions are typically not fulfilled in complex natural sample environments. Here, we introduce dual-angle interferometric scattering microscopy (DAISY), enabling optical quantification of both size and polarizability of individual nanoparticles (radius <170 nm) without requiring a priori information regarding the surrounding media or super-resolution imaging. DAISY achieves this by combining the information contained in concurrently measured forward and backward scattering images through twilight off-axis holography and interferometric scattering (iSCAT). Going beyond particle size and polarizability, single-particle morphology can be deduced from the fact that the hydrodynamic radius relates to the outer particle radius, while the scattering-based size estimate depends on the internal mass distribution of the particles. We demonstrate this by differentiating biomolecular fractal aggregates from spherical particles in fetal bovine serum at the single-particle level.
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Affiliation(s)
- Erik Olsén
- Department
of Physics, Chalmers University of Technology, SE-41296 Gothenburg, Sweden
| | | | - Fredrik Skärberg
- Department
of Physics, University of Gothenburg, SE-41296 Gothenburg, Sweden
| | - Petteri Parkkila
- Department
of Physics, Chalmers University of Technology, SE-41296 Gothenburg, Sweden
| | - Giovanni Volpe
- Department
of Physics, University of Gothenburg, SE-41296 Gothenburg, Sweden
| | - Fredrik Höök
- Department
of Physics, Chalmers University of Technology, SE-41296 Gothenburg, Sweden
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22
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Shitrit N. Surface-emitting lasers meet metasurfaces. LIGHT, SCIENCE & APPLICATIONS 2024; 13:37. [PMID: 38296950 PMCID: PMC10831054 DOI: 10.1038/s41377-023-01369-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Abstract
The integration between vertical-cavity surface-emitting lasers and metasurfaces has been demonstrated to enable on-chip high-angle illumination for total internal reflection and dark-field microscopy. Such an ultracompact combined laser-beam shaper system provides a versatile illumination module for high-contrast imaging, thus leveraging biophotonics and lab-on-a-chip devices and facilitating life-science applications.
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Affiliation(s)
- Nir Shitrit
- School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Be'er Sheva, 8410501, Israel.
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23
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Astratov VN, Sahel YB, Eldar YC, Huang L, Ozcan A, Zheludev N, Zhao J, Burns Z, Liu Z, Narimanov E, Goswami N, Popescu G, Pfitzner E, Kukura P, Hsiao YT, Hsieh CL, Abbey B, Diaspro A, LeGratiet A, Bianchini P, Shaked NT, Simon B, Verrier N, Debailleul M, Haeberlé O, Wang S, Liu M, Bai Y, Cheng JX, Kariman BS, Fujita K, Sinvani M, Zalevsky Z, Li X, Huang GJ, Chu SW, Tzang O, Hershkovitz D, Cheshnovsky O, Huttunen MJ, Stanciu SG, Smolyaninova VN, Smolyaninov II, Leonhardt U, Sahebdivan S, Wang Z, Luk’yanchuk B, Wu L, Maslov AV, Jin B, Simovski CR, Perrin S, Montgomery P, Lecler S. Roadmap on Label-Free Super-Resolution Imaging. LASER & PHOTONICS REVIEWS 2023; 17:2200029. [PMID: 38883699 PMCID: PMC11178318 DOI: 10.1002/lpor.202200029] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Indexed: 06/18/2024]
Abstract
Label-free super-resolution (LFSR) imaging relies on light-scattering processes in nanoscale objects without a need for fluorescent (FL) staining required in super-resolved FL microscopy. The objectives of this Roadmap are to present a comprehensive vision of the developments, the state-of-the-art in this field, and to discuss the resolution boundaries and hurdles which need to be overcome to break the classical diffraction limit of the LFSR imaging. The scope of this Roadmap spans from the advanced interference detection techniques, where the diffraction-limited lateral resolution is combined with unsurpassed axial and temporal resolution, to techniques with true lateral super-resolution capability which are based on understanding resolution as an information science problem, on using novel structured illumination, near-field scanning, and nonlinear optics approaches, and on designing superlenses based on nanoplasmonics, metamaterials, transformation optics, and microsphere-assisted approaches. To this end, this Roadmap brings under the same umbrella researchers from the physics and biomedical optics communities in which such studies have often been developing separately. The ultimate intent of this paper is to create a vision for the current and future developments of LFSR imaging based on its physical mechanisms and to create a great opening for the series of articles in this field.
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Affiliation(s)
- Vasily N. Astratov
- Department of Physics and Optical Science, University of North Carolina at Charlotte, Charlotte, North Carolina 28223-0001, USA
| | - Yair Ben Sahel
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Yonina C. Eldar
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Luzhe Huang
- Electrical and Computer Engineering Department, University of California, Los Angeles, California 90095, USA
- Bioengineering Department, University of California, Los Angeles, California 90095, USA
- California Nano Systems Institute (CNSI), University of California, Los Angeles, California 90095, USA
| | - Aydogan Ozcan
- Electrical and Computer Engineering Department, University of California, Los Angeles, California 90095, USA
- Bioengineering Department, University of California, Los Angeles, California 90095, USA
- California Nano Systems Institute (CNSI), University of California, Los Angeles, California 90095, USA
- David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA
| | - Nikolay Zheludev
- Optoelectronics Research Centre, University of Southampton, Southampton, SO17 1BJ, UK
- Centre for Disruptive Photonic Technologies, The Photonics Institute, School of Physical and Mathematical Sciences, Nanyang Technological University, 637371, Singapore
| | - Junxiang Zhao
- Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Zachary Burns
- Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Zhaowei Liu
- Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
- Material Science and Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Evgenii Narimanov
- School of Electrical Engineering, and Birck Nanotechnology Center, Purdue University, West Lafayette, Indiana 47907, USA
| | - Neha Goswami
- Quantitative Light Imaging Laboratory, Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois 61801, USA
| | - Gabriel Popescu
- Quantitative Light Imaging Laboratory, Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois 61801, USA
| | - Emanuel Pfitzner
- Department of Chemistry, University of Oxford, Oxford OX1 3QZ, United Kingdom
| | - Philipp Kukura
- Department of Chemistry, University of Oxford, Oxford OX1 3QZ, United Kingdom
| | - Yi-Teng Hsiao
- Institute of Atomic and Molecular Sciences (IAMS), Academia Sinica 1, Roosevelt Rd. Sec. 4, Taipei 10617 Taiwan
| | - Chia-Lung Hsieh
- Institute of Atomic and Molecular Sciences (IAMS), Academia Sinica 1, Roosevelt Rd. Sec. 4, Taipei 10617 Taiwan
| | - Brian Abbey
- Australian Research Council Centre of Excellence for Advanced Molecular Imaging, La Trobe University, Melbourne, Victoria, Australia
- Department of Chemistry and Physics, La Trobe Institute for Molecular Science (LIMS), La Trobe University, Melbourne, Victoria, Australia
| | - Alberto Diaspro
- Optical Nanoscopy and NIC@IIT, CHT, Istituto Italiano di Tecnologia, Via Enrico Melen 83B, 16152 Genoa, Italy
- DIFILAB, Department of Physics, University of Genoa, Via Dodecaneso 33, 16146 Genoa, Italy
| | - Aymeric LeGratiet
- Optical Nanoscopy and NIC@IIT, CHT, Istituto Italiano di Tecnologia, Via Enrico Melen 83B, 16152 Genoa, Italy
- Université de Rennes, CNRS, Institut FOTON - UMR 6082, F-22305 Lannion, France
| | - Paolo Bianchini
- Optical Nanoscopy and NIC@IIT, CHT, Istituto Italiano di Tecnologia, Via Enrico Melen 83B, 16152 Genoa, Italy
- DIFILAB, Department of Physics, University of Genoa, Via Dodecaneso 33, 16146 Genoa, Italy
| | - Natan T. Shaked
- Tel Aviv University, Faculty of Engineering, Department of Biomedical Engineering, Tel Aviv 6997801, Israel
| | - Bertrand Simon
- LP2N, Institut d’Optique Graduate School, CNRS UMR 5298, Université de Bordeaux, Talence France
| | - Nicolas Verrier
- IRIMAS UR UHA 7499, Université de Haute-Alsace, Mulhouse, France
| | | | - Olivier Haeberlé
- IRIMAS UR UHA 7499, Université de Haute-Alsace, Mulhouse, France
| | - Sheng Wang
- School of Physics and Technology, Wuhan University, China
- Wuhan Institute of Quantum Technology, China
| | - Mengkun Liu
- Department of Physics and Astronomy, Stony Brook University, USA
- National Synchrotron Light Source II, Brookhaven National Laboratory, USA
| | - Yeran Bai
- Boston University Photonics Center, Boston, MA 02215, USA
| | - Ji-Xin Cheng
- Boston University Photonics Center, Boston, MA 02215, USA
| | - Behjat S. Kariman
- Optical Nanoscopy and NIC@IIT, CHT, Istituto Italiano di Tecnologia, Via Enrico Melen 83B, 16152 Genoa, Italy
- DIFILAB, Department of Physics, University of Genoa, Via Dodecaneso 33, 16146 Genoa, Italy
| | - Katsumasa Fujita
- Department of Applied Physics and the Advanced Photonics and Biosensing Open Innovation Laboratory (AIST); and the Transdimensional Life Imaging Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan
| | - Moshe Sinvani
- Faculty of Engineering and the Nano-Technology Center, Bar-Ilan University, Ramat Gan, 52900 Israel
| | - Zeev Zalevsky
- Faculty of Engineering and the Nano-Technology Center, Bar-Ilan University, Ramat Gan, 52900 Israel
| | - Xiangping Li
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou 510632, China
| | - Guan-Jie Huang
- Department of Physics and Molecular Imaging Center, National Taiwan University, Taipei 10617, Taiwan
- Brain Research Center, National Tsing Hua University, Hsinchu 30013, Taiwan
| | - Shi-Wei Chu
- Department of Physics and Molecular Imaging Center, National Taiwan University, Taipei 10617, Taiwan
- Brain Research Center, National Tsing Hua University, Hsinchu 30013, Taiwan
| | - Omer Tzang
- School of Chemistry, The Sackler faculty of Exact Sciences, and the Center for Light matter Interactions, and the Tel Aviv University Center for Nanoscience and Nanotechnology, Tel Aviv 69978, Israel
| | - Dror Hershkovitz
- School of Chemistry, The Sackler faculty of Exact Sciences, and the Center for Light matter Interactions, and the Tel Aviv University Center for Nanoscience and Nanotechnology, Tel Aviv 69978, Israel
| | - Ori Cheshnovsky
- School of Chemistry, The Sackler faculty of Exact Sciences, and the Center for Light matter Interactions, and the Tel Aviv University Center for Nanoscience and Nanotechnology, Tel Aviv 69978, Israel
| | - Mikko J. Huttunen
- Laboratory of Photonics, Physics Unit, Tampere University, FI-33014, Tampere, Finland
| | - Stefan G. Stanciu
- Center for Microscopy – Microanalysis and Information Processing, Politehnica University of Bucharest, 313 Splaiul Independentei, 060042, Bucharest, Romania
| | - Vera N. Smolyaninova
- Department of Physics Astronomy and Geosciences, Towson University, 8000 York Rd., Towson, MD 21252, USA
| | - Igor I. Smolyaninov
- Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742, USA
| | - Ulf Leonhardt
- Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Sahar Sahebdivan
- EMTensor GmbH, TechGate, Donau-City-Strasse 1, 1220 Wien, Austria
| | - Zengbo Wang
- School of Computer Science and Electronic Engineering, Bangor University, Bangor, LL57 1UT, United Kingdom
| | - Boris Luk’yanchuk
- Faculty of Physics, Lomonosov Moscow State University, Moscow 119991, Russia
| | - Limin Wu
- Department of Materials Science and State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
| | - Alexey V. Maslov
- Department of Radiophysics, University of Nizhny Novgorod, Nizhny Novgorod, 603022, Russia
| | - Boya Jin
- Department of Physics and Optical Science, University of North Carolina at Charlotte, Charlotte, North Carolina 28223-0001, USA
| | - Constantin R. Simovski
- Department of Electronics and Nano-Engineering, Aalto University, FI-00076, Espoo, Finland
- Faculty of Physics and Engineering, ITMO University, 199034, St-Petersburg, Russia
| | - Stephane Perrin
- ICube Research Institute, University of Strasbourg - CNRS - INSA de Strasbourg, 300 Bd. Sébastien Brant, 67412 Illkirch, France
| | - Paul Montgomery
- ICube Research Institute, University of Strasbourg - CNRS - INSA de Strasbourg, 300 Bd. Sébastien Brant, 67412 Illkirch, France
| | - Sylvain Lecler
- ICube Research Institute, University of Strasbourg - CNRS - INSA de Strasbourg, 300 Bd. Sébastien Brant, 67412 Illkirch, France
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24
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Altenburger B, Andersson C, Levin S, Westerlund F, Fritzsche J, Langhammer C. Label-Free Imaging of Catalytic H 2O 2 Decomposition on Single Colloidal Pt Nanoparticles Using Nanofluidic Scattering Microscopy. ACS NANO 2023; 17:21030-21043. [PMID: 37847543 PMCID: PMC10655234 DOI: 10.1021/acsnano.3c03977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 10/09/2023] [Indexed: 10/18/2023]
Abstract
Single-particle catalysis aims at determining factors that dictate the nanoparticle activity and selectivity. Existing methods often use fluorescent model reactions at low reactant concentrations, operate at low pressures, or rely on plasmonic enhancement effects. Hence, methods to measure single-nanoparticle activity under technically relevant conditions and without fluorescence or other enhancement mechanisms are still lacking. Here, we introduce nanofluidic scattering microscopy of catalytic reactions on single colloidal nanoparticles trapped inside nanofluidic channels to fill this gap. By detecting minuscule refractive index changes in a liquid flushed trough a nanochannel, we demonstrate that local H2O2 concentration changes in water can be accurately measured. Applying this principle, we analyze the H2O2 concentration profiles adjacent to single colloidal Pt nanoparticles during catalytic H2O2 decomposition into O2 and H2O and derive the particles' individual turnover frequencies from the growth rate of the O2 gas bubbles formed in their respective nanochannel during reaction.
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Affiliation(s)
- Björn Altenburger
- Department
of Physics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Carl Andersson
- Department
of Physics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Sune Levin
- Department
of Life Sciences, Chalmers University of
Technology, SE-412 96 Gothenburg, Sweden
| | - Fredrik Westerlund
- Department
of Life Sciences, Chalmers University of
Technology, SE-412 96 Gothenburg, Sweden
| | - Joachim Fritzsche
- Department
of Physics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Christoph Langhammer
- Department
of Physics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
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25
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Liu N, Yao N, Wang S, Zhang Z, Ren T, Gao Y, Zhou X, Tong L, Zhang L. An optical nanofibre-enabled on-chip single-nanoparticle sensor. LAB ON A CHIP 2023; 23:4901-4908. [PMID: 37874569 DOI: 10.1039/d3lc00499f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Single-nanoparticle detection has received tremendous interest due to its significance in fundamental physics and biological applications. Here, we demonstrate an optical nanofibre-enabled microfluidic sensor for the detection and sizing of nanoparticles. Benefitting from the strong evanescent field outside the nanofibre, a nanoparticle close to the nanofibre can scatter a portion of the field energy to the environment, resulting in a decrease in the transmitted intensity of the nanofibre. On the other hand, the narrow and shallow microfluidic channel provides a femtoliter-scale detection region, making nanoparticles flow through the detection region one by one. By real-time monitoring of the transmitted intensity of the nanofibre, the detection of a single polystyrene (PS) nanoparticle as small as 100 nm in diameter and exosomes in solution is realised. Based on a statistical analysis, the mean scattering signal is related to the size of the nanoparticle. Experimentally, a mixture of nanoparticles of different diameters (200, 500, and 1000 nm) in solution is identified. To demonstrate its potential in biological applications, high-throughput counting of yeasts using a pair of microchannels and dual-wavelength detection of fluorescently labelled nanoparticles are realised. We believe that the developed nanoparticle sensor holds great potential for the multiplexed and rapid sensing of diverse viruses.
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Affiliation(s)
- Ning Liu
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.
| | - Ni Yao
- Research Center for Humanoid Sensing, Zhejiang Lab, Hangzhou 311121, China
| | - Shipeng Wang
- Research Center for Humanoid Sensing, Zhejiang Lab, Hangzhou 311121, China
| | - Zhang Zhang
- Research Center for Intelligent Robotics, Zhejiang Lab, Hangzhou 311121, China
| | - Tanchen Ren
- Department of Cardiology of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Ying Gao
- Department of Cardiology of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Xuhao Zhou
- Department of Cardiology of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Limin Tong
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.
| | - Lei Zhang
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.
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26
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Juodėnas M, Strandberg E, Grabowski A, Gustavsson J, Šípová-Jungová H, Larsson A, Käll M. High-angle deflection of metagrating-integrated laser emission for high-contrast microscopy. LIGHT, SCIENCE & APPLICATIONS 2023; 12:251. [PMID: 37833318 PMCID: PMC10576095 DOI: 10.1038/s41377-023-01286-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/14/2023] [Accepted: 09/14/2023] [Indexed: 10/15/2023]
Abstract
Flat metaoptics components are looking to replace classical optics elements and could lead to extremely compact biophotonics devices if integrated with on-chip light sources and detectors. However, using metasurfaces to shape light into wide angular range wavefronts with high efficiency, as is typically required in high-contrast microscopy applications, remains a challenge. Here we demonstrate curved GaAs metagratings integrated on vertical-cavity surface-emitting lasers (VCSELs) that enable on-chip illumination in total internal reflection and dark field microscopy. Based on an unconventional design that circumvents the aspect ratio dependent etching problems in monolithic integration, we demonstrate off-axis emission centred at 60° in air and 63° in glass with > 90% and > 70% relative deflection efficiency, respectively. The resulting laser beam is collimated out-of-plane but maintains Gaussian divergence in-plane, resulting in a long and narrow illumination area. We show that metagrating-integrated VCSELs of different kinds can be combined to enable rapid switching between dark-field and total internal reflection illumination. Our approach provides a versatile illumination solution for high-contrast imaging that is compatible with conventional microscopy setups and can be integrated with biophotonics devices, such as portable microscopy, NIR-II range bioimaging, and lab-on-a-chip devices.
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Affiliation(s)
- Mindaugas Juodėnas
- Department of Physics, Chalmers University of Technology, 412 96, Gothenburg, Sweden.
| | - Erik Strandberg
- Department of Microtechnology and Nanoscience, Chalmers University of Technology, 412 96, Gothenburg, Sweden
| | - Alexander Grabowski
- Department of Microtechnology and Nanoscience, Chalmers University of Technology, 412 96, Gothenburg, Sweden
| | - Johan Gustavsson
- Department of Microtechnology and Nanoscience, Chalmers University of Technology, 412 96, Gothenburg, Sweden
| | - Hana Šípová-Jungová
- Department of Physics, Chalmers University of Technology, 412 96, Gothenburg, Sweden
| | - Anders Larsson
- Department of Microtechnology and Nanoscience, Chalmers University of Technology, 412 96, Gothenburg, Sweden
| | - Mikael Käll
- Department of Physics, Chalmers University of Technology, 412 96, Gothenburg, Sweden.
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27
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Kabashin AV, Kravets VG, Grigorenko AN. Label-free optical biosensing: going beyond the limits. Chem Soc Rev 2023; 52:6554-6585. [PMID: 37681251 DOI: 10.1039/d3cs00155e] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
Label-free optical biosensing holds great promise for a variety of applications in biomedical diagnostics, environmental and food safety, and security. It is already used as a key tool in the investigation of biomolecular binding events and reaction constants in real time and offers further potential additional functionalities and low-cost designs. However, the sensitivity of this technology does not match the routinely used but expensive and slow labelling methods. Therefore, label-free optical biosensing remains predominantly a research tool. Here we discuss how one can go beyond the limits of detection provided by standard optical biosensing platforms and achieve a sensitivity of label-free biosensing that is superior to labelling methods. To this end we review newly emerging optical implementations that overcome current sensitivity barriers by employing novel structural architectures, artificial materials (metamaterials and hetero-metastructures) and using phase of light as a sensing parameter. Furthermore, we elucidate the mechanism of plasmonic phase biosensing and review hyper-sensitive transducers, which can achieve detection limits at the single molecule level (less than 1 fg mm-2) and make it possible to detect analytes at several orders of magnitude lower concentrations than so far reported in literature. We finally discuss newly emerging layouts based on dielectric nanomaterials, bound states in continuum, and exceptional points.
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Affiliation(s)
- Andrei V Kabashin
- Aix Marseille Université, CNRS, UMR 7341 CNRS, LP3, Campus de Luminy-case 917, 13288, Marseille Cedex 9, France.
| | - Vasyl G Kravets
- School of Physics and Astronomy, University of Manchester, Manchester, M13 9PL, UK.
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28
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Becker J, Peters JS, Crooks I, Helmi S, Synakewicz M, Schuler B, Kukura P. A Quantitative Description for Optical Mass Measurement of Single Biomolecules. ACS PHOTONICS 2023; 10:2699-2710. [PMID: 37602293 PMCID: PMC10436351 DOI: 10.1021/acsphotonics.3c00422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Indexed: 08/22/2023]
Abstract
Label-free detection of single biomolecules in solution has been achieved using a variety of experimental approaches over the past decade. Yet, our understanding of the magnitude of the optical contrast and its relationship with the underlying atomic structure as well as the achievable measurement sensitivity and precision remain poorly defined. Here, we use a Fourier optics approach combined with an atomic structure-based molecular polarizability model to simulate mass photometry experiments from first principles. We find excellent agreement between several key experimentally determined parameters such as optical contrast-to-mass conversion, achievable mass accuracy, and molecular shape and orientation dependence. This allows us to determine detection sensitivity and measurement precision mostly independent of the optical detection approach chosen, resulting in a general framework for light-based single-molecule detection and quantification.
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Affiliation(s)
- Jan Becker
- The
Kavli Institute for Nanoscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Parks Rd, Oxford OX1 3QU, U.K.
- Physical
and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, U.K.
| | - Jack S. Peters
- The
Kavli Institute for Nanoscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Parks Rd, Oxford OX1 3QU, U.K.
- Physical
and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, U.K.
| | - Ivor Crooks
- Physical
and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, U.K.
| | - Seham Helmi
- The
Kavli Institute for Nanoscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Parks Rd, Oxford OX1 3QU, U.K.
- Physical
and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, U.K.
| | - Marie Synakewicz
- Department
of Biochemistry, University of Zurich, Winterthurerstrasse 190, Zurich 8057, Switzerland
| | - Benjamin Schuler
- Department
of Biochemistry, University of Zurich, Winterthurerstrasse 190, Zurich 8057, Switzerland
- Department
of Physics, University of Zurich, Winterthurerstrasse 190, Zurich 8057, Switzerland
| | - Philipp Kukura
- The
Kavli Institute for Nanoscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Parks Rd, Oxford OX1 3QU, U.K.
- Physical
and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, U.K.
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29
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Zhang P, Zhou X, Wang S. Plasmonic Scattering Microscopy for Label-Free Imaging of Molecular Binding Kinetics: From Single Molecules to Single Cells. CHEMISTRY METHODS : NEW APPROACHES TO SOLVING PROBLEMS IN CHEMISTRY 2023; 3:e202200066. [PMID: 37448471 PMCID: PMC10344632 DOI: 10.1002/cmtd.202200066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Indexed: 07/15/2023]
Abstract
Measuring molecular binding kinetics represents one of the most important tasks in molecular interaction analysis. Surface plasmon resonance (SPR) is a popular tool for analyzing molecular binding. Plasmonic scattering microscopy (PSM) is a newly developed SPR imaging technology, which detects the out-of-plane scattering of surface plasmons by analytes and has pushed the detection limit of label-free SPR imaging down to a single-protein level. In addition, PSM also allows SPR imaging with high spatiotemporal resolution, making it possible to analyze cellular response to the molecular bindings. In this Mini Review, we present PSM as a method of choice for chemical and biological imaging, introduce its theoretical mechanism, present its experimental schemes, summarize its exciting applications, and discuss its challenges as well as the promising future.
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Affiliation(s)
- Pengfei Zhang
- Biodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, AZ, 85287 (USA)
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190 (P. R. China)
| | - Xinyu Zhou
- Biodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, AZ, 85287 (USA)
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287 (USA)
| | - Shaopeng Wang
- Biodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, AZ, 85287 (USA)
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287 (USA)
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30
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Wang L, Wang D, Ye Z, Xu J. Engineering Extracellular Vesicles as Delivery Systems in Therapeutic Applications. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2300552. [PMID: 37080941 PMCID: PMC10265081 DOI: 10.1002/advs.202300552] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 03/16/2023] [Indexed: 05/03/2023]
Abstract
Extracellular vesicles (EVs) are transport vesicles secreted by living cells and released into the extracellular environment. Recent studies have shown that EVs serve as "messengers" in intercellular and inter-organismal communication, in both normal and pathological processes. EVs, as natural nanocarriers, can deliver bioactivators in therapy with their endogenous transport properties. This review article describes the engineering EVs of sources, isolation method, cargo loading, boosting approach, and adjustable targeting of EVs. Furthermore, the review summarizes the recent progress made in EV-based delivery systems applications, including cancer, cardiovascular diseases, liver, kidney, nervous system diseases, and COVID-19 and emphasizes the obstacles and challenges of EV-based therapies and possible strategies.
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Affiliation(s)
- Liwei Wang
- Department of Orthopedic Surgerythe Second Affiliated HospitalZhejiang University School of MedicineHangzhou CityZhejiang Province310009P. R. China
- Orthopedics Research Institute of Zhejiang UniversityHangzhou CityZhejiang Province310009P. R. China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang ProvinceHangzhou CityZhejiang Province310009P. R. China
- Clinical Research Center of Motor System Disease of Zhejiang ProvinceHangzhou CityZhejiang Province310009P. R. China
| | - Di Wang
- Department of Orthopedic Surgerythe Second Affiliated HospitalZhejiang University School of MedicineHangzhou CityZhejiang Province310009P. R. China
- Orthopedics Research Institute of Zhejiang UniversityHangzhou CityZhejiang Province310009P. R. China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang ProvinceHangzhou CityZhejiang Province310009P. R. China
- Clinical Research Center of Motor System Disease of Zhejiang ProvinceHangzhou CityZhejiang Province310009P. R. China
| | - Zhaoming Ye
- Department of Orthopedic Surgerythe Second Affiliated HospitalZhejiang University School of MedicineHangzhou CityZhejiang Province310009P. R. China
- Orthopedics Research Institute of Zhejiang UniversityHangzhou CityZhejiang Province310009P. R. China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang ProvinceHangzhou CityZhejiang Province310009P. R. China
- Clinical Research Center of Motor System Disease of Zhejiang ProvinceHangzhou CityZhejiang Province310009P. R. China
| | - Jianbin Xu
- Department of Orthopedic Surgerythe Second Affiliated HospitalZhejiang University School of MedicineHangzhou CityZhejiang Province310009P. R. China
- Orthopedics Research Institute of Zhejiang UniversityHangzhou CityZhejiang Province310009P. R. China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang ProvinceHangzhou CityZhejiang Province310009P. R. China
- Clinical Research Center of Motor System Disease of Zhejiang ProvinceHangzhou CityZhejiang Province310009P. R. China
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31
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Dahmardeh M, Mirzaalian Dastjerdi H, Mazal H, Köstler H, Sandoghdar V. Self-supervised machine learning pushes the sensitivity limit in label-free detection of single proteins below 10 kDa. Nat Methods 2023; 20:442-447. [PMID: 36849549 PMCID: PMC9998267 DOI: 10.1038/s41592-023-01778-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 01/06/2023] [Indexed: 03/01/2023]
Abstract
Interferometric scattering (iSCAT) microscopy is a label-free optical method capable of detecting single proteins, localizing their binding positions with nanometer precision, and measuring their mass. In the ideal case, iSCAT is limited by shot noise such that collection of more photons should extend its detection sensitivity to biomolecules of arbitrarily low mass. However, a number of technical noise sources combined with speckle-like background fluctuations have restricted the detection limit in iSCAT. Here, we show that an unsupervised machine learning isolation forest algorithm for anomaly detection pushes the mass sensitivity limit by a factor of 4 to below 10 kDa. We implement this scheme both with a user-defined feature matrix and a self-supervised FastDVDNet and validate our results with correlative fluorescence images recorded in total internal reflection mode. Our work opens the door to optical investigations of small traces of biomolecules and disease markers such as α-synuclein, chemokines and cytokines.
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Affiliation(s)
- Mahyar Dahmardeh
- Max Planck Institute for the Science of Light, Erlangen, Germany.,Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Houman Mirzaalian Dastjerdi
- Max Planck Institute for the Science of Light, Erlangen, Germany.,Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany.,Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Hisham Mazal
- Max Planck Institute for the Science of Light, Erlangen, Germany.,Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Harald Köstler
- Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.,Erlangen National High Performance Computing Center (NHR@FAU), Erlangen, Germany
| | - Vahid Sandoghdar
- Max Planck Institute for the Science of Light, Erlangen, Germany. .,Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany. .,Department of Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
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32
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Zhang Z, Sun Y, Yang Y, Yang X, Wang H, Yun Y, Pan X, Lian Z, Kuzmin A, Ponkratova E, Mikhailova J, Xie Z, Chen X, Pan Q, Chen B, Xie H, Wu T, Chen S, Chi J, Liu F, Zuev D, Su M, Song Y. Rapid Identification and Monitoring of Multiple Bacterial Infections Using Printed Nanoarrays. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2211363. [PMID: 36626679 DOI: 10.1002/adma.202211363] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Indexed: 06/17/2023]
Abstract
Fast and accurate detection of microbial cells in clinical samples is highly valuable but remains a challenge. Here, a simple, culture-free diagnostic system is developed for direct detection of pathogenic bacteria in water, urine, and serum samples using an optical colorimetric biosensor. It consists of printed nanoarrays chemically conjugated with specific antibodies that exhibits distinct color changes after capturing target pathogens. By utilizing the internal capillarity inside an evaporating droplet, target preconcentration is achieved within a few minutes to enable rapid identification and more efficient detection of bacterial pathogens. More importantly, the scattering signals of bacteria are significantly amplified by the nanoarrays due to strong near-field localization, which supports a visualizable analysis of the growth, reproduction, and cell activity of bacteria at the single-cell level. Finally, in addition to high selectivity, this nanoarray-based biosensor is also capable of accurate quantification and continuous monitoring of bacterial load on food over a broad linear range, with a detection limit of 10 CFU mL-1 . This work provides an accessible and user-friendly tool for point-of-care testing of pathogens in many clinical and environmental applications, and possibly enables a breakthrough in early prevention and treatment.
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Affiliation(s)
- Zeying Zhang
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
| | - Yali Sun
- School of Physics, ITMO University, Saint Petersburg, 197101, Russia
| | - Yaqi Yang
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Xu Yang
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Huadong Wang
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Yang Yun
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Xiangyu Pan
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Zewei Lian
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Artem Kuzmin
- School of Physics, ITMO University, Saint Petersburg, 197101, Russia
| | | | - Julia Mikhailova
- School of Physics, ITMO University, Saint Petersburg, 197101, Russia
| | - Zian Xie
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Xiaoran Chen
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Qi Pan
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
| | - Bingda Chen
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
| | - Hongfei Xie
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Tingqing Wu
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Sisi Chen
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Jimei Chi
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
- University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Fangyi Liu
- Department of Interventional Ultrasound, the fifth medical center, Chinese PLA General Hospital, Beijing, 100853, P. R. China
| | - Dmitry Zuev
- School of Physics, ITMO University, Saint Petersburg, 197101, Russia
| | - Meng Su
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
| | - Yanlin Song
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
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33
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Roy P, Claude JB, Tiwari S, Barulin A, Wenger J. Ultraviolet Nanophotonics Enables Autofluorescence Correlation Spectroscopy on Label-Free Proteins with a Single Tryptophan. NANO LETTERS 2023; 23:497-504. [PMID: 36603115 DOI: 10.1021/acs.nanolett.2c03797] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Using the ultraviolet autofluorescence of tryptophan amino acids offers fascinating perspectives to study single proteins without the drawbacks of fluorescence labeling. However, the low autofluorescence signals have so far limited the UV detection to large proteins containing several tens of tryptophan residues. This limit is not compatible with the vast majority of proteins which contain only a few tryptophans. Here we push the sensitivity of label-free ultraviolet fluorescence correlation spectroscopy (UV-FCS) down to the single tryptophan level. Our results show how the combination of nanophotonic plasmonic antennas, antioxidants, and background reduction techniques can improve the signal-to-background ratio by over an order of magnitude and enable UV-FCS on thermonuclease proteins with a single tryptophan residue. This sensitivity breakthrough unlocks the applicability of UV-FCS technique to a broad library of label-free proteins.
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Affiliation(s)
- Prithu Roy
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, AMUTech, 13013 Marseille, France
| | - Jean-Benoît Claude
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, AMUTech, 13013 Marseille, France
| | - Sunny Tiwari
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, AMUTech, 13013 Marseille, France
| | - Aleksandr Barulin
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, AMUTech, 13013 Marseille, France
| | - Jérôme Wenger
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, AMUTech, 13013 Marseille, France
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34
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Ortiz-Orruño U, Quidant R, van Hulst NF, Liebel M, Ortega Arroyo J. Simultaneous Sizing and Refractive Index Analysis of Heterogeneous Nanoparticle Suspensions. ACS NANO 2023; 17:221-229. [PMID: 36525614 PMCID: PMC9835976 DOI: 10.1021/acsnano.2c06883] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 12/13/2022] [Indexed: 05/25/2023]
Abstract
Rapid and reliable characterization of heterogeneous nanoparticle suspensions is a key technology across the nanosciences. Although approaches exist for homogeneous samples, they are often unsuitable for polydisperse suspensions, as particles of different sizes and compositions can lead to indistinguishable signals at the detector. Here, we introduce holographic nanoparticle tracking analysis, holoNTA, as a straightforward methodology that decouples size and material refractive index contributions. HoloNTA is applicable to any heterogeneous nanoparticle sample and has the sensitivity to measure the intrinsic heterogeneity of the sample. Specifically, we combined high dynamic range k-space imaging with holographic 3D single-particle tracking. This strategy enables long-term tracking by extending the imaging volume and delivers precise and accurate estimates of both scattering amplitude and diffusion coefficient of individual nanoparticles, from which particle refractive index and hydrodynamic size are determined. We specifically demonstrate, by simulations and experiments, that irrespective of localization uncertainty and size, the sizing sensitivity is improved as our extended detection volume yields considerably longer particle trajectories than previously reported by comparable technologies. As validation, we measured both homogeneous and heterogeneous suspensions of nanoparticles in the 40-250 nm size range and further monitored protein corona formation, where we identified subtle differences between the nanoparticle-protein complexes derived from avidin, bovine serum albumin, and streptavidin. We foresee that our approach will find many applications of both fundamental and applied nature where routine quantification and sizing of nanoparticles are required.
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Affiliation(s)
- Unai Ortiz-Orruño
- ICFO,
Institut de Ciencies Fotoniques, The Barcelona Institute of Science
and Technology, Castelldefels08860, Spain
| | - Romain Quidant
- Nanophotonic
Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Zurich8092, Switzerland
| | - Niek F. van Hulst
- ICFO,
Institut de Ciencies Fotoniques, The Barcelona Institute of Science
and Technology, Castelldefels08860, Spain
- ICREA,
Institució Catalana de Recerca i Estudis Avançats, Barcelona08010, Spain
| | - Matz Liebel
- ICFO,
Institut de Ciencies Fotoniques, The Barcelona Institute of Science
and Technology, Castelldefels08860, Spain
| | - Jaime Ortega Arroyo
- Nanophotonic
Systems Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Zurich8092, Switzerland
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35
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Zhang X, Gao J, Wang X, Wang S, Jiang B, Wang W, Wang H. Determining the Local Refractive Index of Single Particles by Optical Imaging Technique. Anal Chem 2022; 94:17741-17745. [PMID: 36520603 DOI: 10.1021/acs.analchem.2c04043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The refractive index points to the interplay between light and objects, which is rarely studied down to micronano scale. Herein, we demonstrated a conventional bright-field imaging technique to determine the local refractive index of single particles combined with a series of refractive index standard solutions. This intrinsic optical property is independent with the particle size and surface roughness with a single chemical component. Furthermore, we accurately tuned refractive index of homemade core-shell nanoparticles by adjusting the ratio of core-to-shell geometry. This simple and effective strategy reveals extensive applications in exploring, designing and optimizing the physical and optical characterizations of composite photonic crystals with high precision. It also indicates potentials in the field of reflective displays, optical identification, and encryption.
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Affiliation(s)
- Xia Zhang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing210023, China
| | - Jia Gao
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing210023, China
| | - Xinyue Wang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing210023, China
| | - Sa Wang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing210023, China
| | - Bo Jiang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing210023, China
| | - Wei Wang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing210023, China
| | - Hui Wang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing210023, China
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36
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Single planar photonic chip with tailored angular transmission for multiple-order analog spatial differentiator. Nat Commun 2022; 13:7944. [PMID: 36572704 PMCID: PMC9792592 DOI: 10.1038/s41467-022-35588-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 12/09/2022] [Indexed: 12/27/2022] Open
Abstract
Analog spatial differentiation is used to realize edge-based enhancement, which plays an important role in data compression, microscopy, and computer vision applications. Here, a planar chip made from dielectric multilayers is proposed to operate as both first- and second-order spatial differentiator without any need to change the structural parameters. Third- and fourth-order differentiations that have never been realized before, are also experimentally demonstrated with this chip. A theoretical analysis is proposed to explain the experimental results, which furtherly reveals that more differentiations can be achieved. Taking advantages of its differentiation capability, when this chip is incorporated into conventional imaging systems as a substrate, it enhances the edges of features in optical amplitude and phase images, thus expanding the functions of standard microscopes. This planar chip offers the advantages of a thin form factor and a multifunctional wave-based analogue computing ability, which will bring opportunities in optical imaging and computing.
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37
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Midtvedt B, Pineda J, Skärberg F, Olsén E, Bachimanchi H, Wesén E, Esbjörner EK, Selander E, Höök F, Midtvedt D, Volpe G. Single-shot self-supervised object detection in microscopy. Nat Commun 2022; 13:7492. [PMID: 36470883 PMCID: PMC9722899 DOI: 10.1038/s41467-022-35004-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 11/15/2022] [Indexed: 12/12/2022] Open
Abstract
Object detection is a fundamental task in digital microscopy, where machine learning has made great strides in overcoming the limitations of classical approaches. The training of state-of-the-art machine-learning methods almost universally relies on vast amounts of labeled experimental data or the ability to numerically simulate realistic datasets. However, experimental data are often challenging to label and cannot be easily reproduced numerically. Here, we propose a deep-learning method, named LodeSTAR (Localization and detection from Symmetries, Translations And Rotations), that learns to detect microscopic objects with sub-pixel accuracy from a single unlabeled experimental image by exploiting the inherent roto-translational symmetries of this task. We demonstrate that LodeSTAR outperforms traditional methods in terms of accuracy, also when analyzing challenging experimental data containing densely packed cells or noisy backgrounds. Furthermore, by exploiting additional symmetries we show that LodeSTAR can measure other properties, e.g., vertical position and polarizability in holographic microscopy.
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Affiliation(s)
- Benjamin Midtvedt
- grid.8761.80000 0000 9919 9582Department of Physics, University of Gothenburg, Gothenburg, Sweden
| | - Jesús Pineda
- grid.8761.80000 0000 9919 9582Department of Physics, University of Gothenburg, Gothenburg, Sweden
| | - Fredrik Skärberg
- grid.8761.80000 0000 9919 9582Department of Physics, University of Gothenburg, Gothenburg, Sweden
| | - Erik Olsén
- grid.5371.00000 0001 0775 6028Department of Physics, Chalmers University of Technology, Gothenburg, Sweden
| | - Harshith Bachimanchi
- grid.8761.80000 0000 9919 9582Department of Physics, University of Gothenburg, Gothenburg, Sweden
| | - Emelie Wesén
- grid.5371.00000 0001 0775 6028Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Elin K. Esbjörner
- grid.5371.00000 0001 0775 6028Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Erik Selander
- grid.8761.80000 0000 9919 9582Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Fredrik Höök
- grid.5371.00000 0001 0775 6028Department of Physics, Chalmers University of Technology, Gothenburg, Sweden
| | - Daniel Midtvedt
- grid.8761.80000 0000 9919 9582Department of Physics, University of Gothenburg, Gothenburg, Sweden
| | - Giovanni Volpe
- grid.8761.80000 0000 9919 9582Department of Physics, University of Gothenburg, Gothenburg, Sweden
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38
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Nava G, Zanchetta G, Giavazzi F, Buscaglia M. Label-free optical biosensors in the pandemic era. NANOPHOTONICS (BERLIN, GERMANY) 2022; 11:4159-4181. [PMID: 39634532 PMCID: PMC11502114 DOI: 10.1515/nanoph-2022-0354] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 08/01/2022] [Indexed: 12/07/2024]
Abstract
The research in the field of optical biosensors is continuously expanding, thanks both to the introduction of brand new technologies and the ingenious use of established methods. A new awareness on the potential societal impact of this research has arisen as a consequence of the Covid-19 pandemic. The availability of a new generation of analytical tools enabling a more accurate understanding of bio-molecular processes or the development of distributed diagnostic devices with improved performance is now in greater demand and more clearly envisioned, but not yet achieved. In this review, we focus on emerging innovation opportunities conveyed by label-free optical biosensors. We review the most recent innovations in label-free optical biosensor technology in consideration of their competitive potential in selected application areas. The operational simplicity implicit to label-free detection can be exploited in novel rapid and compact devices for distributed diagnostic applications. The adaptability to any molecular recognition or conformational process facilitates the integration of DNA nanostructures carrying novel functions. The high sensitivity to nanoscale objects stimulates the development of ultrasensitive systems down to digital detection of single molecular binding events enhanced by nanoparticles and direct enumeration of bio-nanoparticles like viruses.
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Affiliation(s)
- Giovanni Nava
- Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, Università degli Studi di Milano, Segrate, MI, Italy
| | - Giuliano Zanchetta
- Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, Università degli Studi di Milano, Segrate, MI, Italy
| | - Fabio Giavazzi
- Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, Università degli Studi di Milano, Segrate, MI, Italy
| | - Marco Buscaglia
- Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, Università degli Studi di Milano, Segrate, MI, Italy
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