Literature DB >> 19880744

Ultra-sensitive vibrational spectroscopy of protein monolayers with plasmonic nanoantenna arrays.

Ronen Adato1, Ahmet A Yanik, Jason J Amsden, David L Kaplan, Fiorenzo G Omenetto, Mi K Hong, Shyamsunder Erramilli, Hatice Altug.   

Abstract

Infrared absorption spectroscopy enabling direct access to vibrational fingerprints of the molecular structure is a powerful method for functional studies of bio-molecules. Although the intrinsic absorption cross-sections of IR active modes of proteins are nearly 10 orders of magnitude larger than the corresponding Raman cross-sections, they are still small compared to that of fluorescence-label based methods. Here, we developed a new tool based on collective excitation of plasmonic nanoantenna arrays and demonstrated direct detection of vibrational signatures of single protein monolayers. We first tailored the geometry of individual nanoantennas to form resonant structures that match the molecular vibrational modes. The tailored nanoantennas are then arranged in such a way that their in-phase dipolar coupling leads to a collective excitation of the ensemble with strongly enhanced near fields. The combined collective and individual plasmonic responses of the antenna array play a critical role in attaining signal enhancement factors of 10(4)-10(5). We achieved measurement of the vibrational spectra of proteins at zeptomole levels for the entire array, corresponding to only 145 molecules per antenna. The near-field nature of the plasmonic enhancement of the absorption signals is demonstrated with progressive loading of the nanoantennas with varying protein film thicknesses. Finally, an advanced model based on nonequilibrium Green's function formalism is introduced, which explains the observed Fano-type absorption line-shapes and tuning of the absorption strengths with the antenna resonance.

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Year:  2009        PMID: 19880744      PMCID: PMC2770897          DOI: 10.1073/pnas.0907459106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  8 in total

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  8 in total
  61 in total

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Authors:  Sylvanus Y Lee; Jason J Amsden; Svetlana V Boriskina; Ashwin Gopinath; Alexander Mitropolous; David L Kaplan; Fiorenzo G Omenetto; Luca Dal Negro
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