Abstract
Fast, high-resolution mapping of heterogeneous interfaces with a wide elastic modulus range is a major goal of atomic force microscopy (AFM). This goal becomes more challenging when the nanomechanical mapping involves biomolecules in their native environment. Over the years, several AFM-based methods have been developed to address this goal. However, none of these methods combine sub-nanometer spatial resolution, quantitative accuracy, fast data acquisition speed, wide elastic modulus range and operation in physiological solutions. Here, we present detailed procedures for generating high-resolution maps of the elastic properties of biomolecules and polymers using bimodal AFM. This requires the simultaneous excitation of the first two eigenmodes of the cantilever. An amplitude modulation (AM) feedback acting on the first mode controls the tip–sample distance, and a frequency modulation (FM) feedback acts on the second mode. The method is fast because the elastic modulus, deformation and topography images are obtained simultaneously. The method is efficient because only a single data point per pixel is needed to generate the aforementioned images. The main stages of the bimodal imaging are sample preparation, calibration of the instrument, tuning of the microscope and generation of the nanomechanical maps. In addition, with knowledge of the deformation, bimodal AFM enables reconstruction of the true topography of the surface. It takes ~9 h to complete the whole procedure.
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Acknowledgements
We are grateful for financial support from the European Research Council (ERC–AdG–340177; 3DNanoMech) and grants CSD2010-00024 and MAT2016-76507-R from the Ministerio de Economía y Competitividad. This work received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Marie Sklodowska-Curie grant agreement 721874 (SPM2.0). We also acknowledge fellowships FPU15/04622 (C.A.A.) and BES-2017-081907 (V.G.G.) from the Ministerio de Educación.
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S.B., V.G.G. and A.P.P. performed the experiments. C.A.A. deduced the analytical expressions. S.B. and V.G.G. drafted the procedure. R.G. designed the experiments, supervised development of the theory, wrote the introduction and edited the manuscript. All the authors discussed the results and revised the manuscript.
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R.G. holds two US patents on bimodal AFM (7,921,466 B2 and 7,958,563 B2). The bimodal configuration presented in the Protocol is not described in those patents. The other authors declare no competing interests.
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Key references using this protocol
Amo, C. A., Perrino, A. P., Payam, A. F. & Garcia, R. ACS Nano 11, 8650–8659 (2017): https://pubs.acs.org/doi/10.1021/acsnano.7b04381
Herruzo, E. T., Perrino, A. P., & Garcia, R. Nat. Commun. 5, 3126 (2014): https://www.nature.com/articles/ncomms4126
Martinez-Martin, D., Herruzo, E. T., Dietz, C., Gomez-Herrero, J. & Garcia, R. Phys. Rev. Lett. 106, 198101 (2011): https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.106.198101
Lozano, J. R. & Garcia, R. Phys. Rev. Lett. 100, 076102 (2008): https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.100.076102
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Benaglia, S., Gisbert, V.G., Perrino, A.P. et al. Fast and high-resolution mapping of elastic properties of biomolecules and polymers with bimodal AFM. Nat Protoc 13, 2890–2907 (2018). https://doi.org/10.1038/s41596-018-0070-1
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DOI: https://doi.org/10.1038/s41596-018-0070-1
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