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O’Callahan B, Qafoku O, Balema V, Negrete OA, Passian A, Engelhard MH, Waters KM. Atomic Force Microscopy and Infrared Nanospectroscopy of COVID-19 Spike Protein for the Quantification of Adhesion to Common Surfaces. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2021; 37:12089-12097. [PMID: 34609882 PMCID: PMC8507151 DOI: 10.1021/acs.langmuir.1c01910] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 09/13/2021] [Indexed: 06/13/2023]
Abstract
The COVID-19 pandemic has claimed millions of lives worldwide, sickened many more, and has resulted in severe socioeconomic consequences. As society returns to normal, understanding the spread and persistence of SARS CoV-2 on commonplace surfaces can help to mitigate future outbreaks of coronaviruses and other pathogens. We hypothesize that such an understanding can be aided by studying the binding and interaction of viral proteins with nonbiological surfaces. Here, we propose a methodology for investigating the adhesion of the SARS CoV-2 spike glycoprotein on common inorganic surfaces such as aluminum, copper, iron, silica, and ceria oxides as well as metallic gold. Quantitative adhesion was obtained from the analysis of measured forces at the nanoscale using an atomic force microscope operated under ambient conditions. Without imposing further constraints on the measurement conditions, our preliminary findings suggest that spike glycoproteins interact with similar adhesion forces across the majority of the metal oxides tested with the exception to gold, for which attraction forces ∼10 times stronger than all other materials studied were observed. Ferritin, which was used as a reference protein, was found to exhibit similar adhesion forces as SARS CoV-2 spike protein. This study results show that glycoprotein adhesion forces for similar ambient humidity, tip shape, and contact surface are nonspecific to the properties of metal oxide surfaces, which are expected to be covered by a thin water film. The findings suggest that under ambient conditions, glycoprotein adhesion to metal oxides is primarily controlled by the water capillary forces, and they depend on the surface tension of the liquid water. We discuss further strategies warranted to decipher the intricate nanoscale forces for improved quantification of the adhesion.
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Affiliation(s)
- Brian O’Callahan
- Earth
and Biological Sciences Division, Pacific
Northwest National Laboratory, Richland, Washington 99352, United States
| | - Odeta Qafoku
- Earth
and Biological Sciences Division, Pacific
Northwest National Laboratory, Richland, Washington 99352, United States
| | - Viktor Balema
- Ames
Laboratory, U.S. Department of Energy, Iowa
State University, Ames, Iowa 50011, United States
| | - Oscar A. Negrete
- Biotechnology
and Bioengineering Department, Sandia National
Laboratories, Livermore, California 94550, United States
| | - Ali Passian
- Quantum
Information Science Group, Oak Ridge National
Laboratory, Oak Ridge, Tennessee 37831, United States
| | - Mark H. Engelhard
- Earth
and Biological Sciences Division, Pacific
Northwest National Laboratory, Richland, Washington 99352, United States
| | - Katrina M. Waters
- Earth
and Biological Sciences Division, Pacific
Northwest National Laboratory, Richland, Washington 99352, United States
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Belianinov A, Ievlev AV, Lorenz M, Borodinov N, Doughty B, Kalinin SV, Fernández FM, Ovchinnikova OS. Correlated Materials Characterization via Multimodal Chemical and Functional Imaging. ACS NANO 2018; 12:11798-11818. [PMID: 30422627 PMCID: PMC9850281 DOI: 10.1021/acsnano.8b07292] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Multimodal chemical imaging simultaneously offers high-resolution chemical and physical information with nanoscale and, in select cases, atomic resolution. By coupling modalities that collect physical and chemical information, we can address scientific problems in biological systems, battery and fuel cell research, catalysis, pharmaceuticals, photovoltaics, medicine, and many others. The combined systems enable the local correlation of material properties with chemical makeup, making fundamental questions of how chemistry and structure drive functionality approachable. In this Review, we present recent progress and offer a perspective for chemical imaging used to characterize a variety of samples by a number of platforms. Specifically, we present cases of infrared and Raman spectroscopies combined with scanning probe microscopy; optical microscopy and mass spectrometry; nonlinear optical microscopy; and, finally, ion, electron, and probe microscopies with mass spectrometry. We also discuss the challenges associated with the use of data originated by the combinatorial hardware, analysis, and machine learning as well as processing tools necessary for the interpretation of multidimensional data acquired from multimodal studies.
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Affiliation(s)
- Alex Belianinov
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
- Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
| | - Anton V. Ievlev
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
- Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
| | - Matthias Lorenz
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
- Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
| | - Nikolay Borodinov
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
- Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
| | - Benjamin Doughty
- Chemical Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
| | - Sergei V. Kalinin
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
- Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
| | - Facundo M. Fernández
- School of Chemistry and Biochemistry, Georgia Institute of Technology and Petit Institute for Biochemistry and Bioscience, Atlanta, Georgia 30332, United States
| | - Olga S. Ovchinnikova
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
- Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
- Corresponding Author:
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Choi B, Jeong G, Kim ZH. Infrared Spectroscopy and Imaging at Nanometer Scale. B KOREAN CHEM SOC 2018. [DOI: 10.1002/bkcs.11428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Boogeon Choi
- Department of Chemistry; Seoul National University; Seoul 08826 South Korea
| | - Gyouil Jeong
- Department of Chemistry; Seoul National University; Seoul 08826 South Korea
| | - Zee Hwan Kim
- Department of Chemistry; Seoul National University; Seoul 08826 South Korea
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Affiliation(s)
- Lifu Xiao
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Zachary D Schultz
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
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Fam W, Mansouri J, Li H, Chen V. Improving CO 2 separation performance of thin film composite hollow fiber with Pebax®1657/ionic liquid gel membranes. J Memb Sci 2017. [DOI: 10.1016/j.memsci.2017.05.011] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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