Optical conductivity-based ultrasensitive mid-infrared biosensing on a hybrid metasurface

Yibo Zhu; Zhaoyi Li; Zhuang Hao; Christopher DiMarco; Panita Maturavongsadit; Yufeng Hao; Ming Lu; Aaron Stein; Qian Wang; James Hone; Nanfang Yu; Qiao Lin

doi:10.1038/s41377-018-0066-1

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Optical conductivity-based ultrasensitive mid-infrared biosensing on a hybrid metasurface

Original Articles

- Optical conductivity-based ultrasensitive mid-infrared biosensing on a hybrid metasurface
- Light: Science & Applications Vol. 7, Issue 6, Pages: 692-702(2018)
- Affiliations：
  
  1.Department of Mechanical Engineering, Columbia University, New York, NY, 10027, USA
  2.Department of Applied Physics and Applied Math, Columbia University, New York, NY, 10027, USA
  3.Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, USA
  4.National Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, China
  5.Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, 11973, USA
- Author bio：
  
  Nanfang Yu (ny2214@columbia.edu)
  Qiao Lin (qlin@columbia.edu)
- Funds：
- DOI：10.1038/s41377-018-0066-1
  CLC：
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Zhu, Y. B. et al. Optical conductivity-based ultrasensitive mid-infrared biosensing on a hybrid metasurface. Light: Science & Applications, 7, 692-702 (2018).
DOI：

Zhu, Y. B. et al. Optical conductivity-based ultrasensitive mid-infrared biosensing on a hybrid metasurface. Light: Science & Applications, 7, 692-702 (2018). DOI： 10.1038/s41377-018-0066-1.

摘要

Abstract

Optical devices are highly attractive for biosensing as they can not only enable quantitative measurements of analytes but also provide information on molecular structures. Unfortunately, typical refractive index-based optical sensors do not have sufficient sensitivity to probe the binding of low-molecular-weight analytes. Non-optical devices such as field-effect transistors can be more sensitive but do not offer some of the significant features of optical devices, particularly molecular fingerprinting. We present optical conductivity-based mid-infrared (mid-IR) biosensors that allow for sensitive and quantitative measurements of low-molecular-weight analytes as well as the enhancement of spectral fingerprints. The sensors employ a hybrid metasurface consisting of monolayer graphene and metallic nano-antennas and combine individual advantages of plasmonic, electronic and spectroscopic approaches. First, the hybrid metasurface sensors can optically detect target molecule-induced carrier doping to graphene, allowing highly sensitive detection of low-molecular-weight analytes despite their small sizes. Second, the resonance shifts caused by changes in graphene optical conductivity is a well-defined function of graphene carrier density, thereby allowing for quantification of the binding of molecules. Third, the sensor performance is highly stable and consistent thanks to its insensitivity to graphene carrier mobility degradation. Finally, the sensors can also act as substrates for surface-enhanced infrared spectroscopy. We demonstrated the measurement of monolayers of sub-nanometer-sized molecules or particles and affinity binding-based quantitative detection of glucose down to 200 pM (36 pg/mL). We also demonstrated enhanced fingerprinting of minute quantities of glucose and polymer molecules.

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references

Cooper, M. A. Optical biosensors in drug discovery. Nat. Rev. Drug. Discov. 1, 515–528 (2002).

Cetin, A. E. et al. Handheld high-throughput plasmonic biosensor using computational on-chip imaging. Light Sci. Appl. 3, e122 (2014).

Brolo, A. G. Plasmonics for future biosensors. Nat. Photonics 6, 709–713 (2012).

Etezadi, D. et al. Nanoplasmonic mid-infrared biosensor for in vitro protein secondary structure detection. Light Sci. Appl. 6, e17029 (2017).

Laing, S., Jamieson, L. E., Faulds, K. & Graham, D. Surface-enhanced Raman spectroscopy for in vivo biosensing. Nat. Rev. Chem. 1, 0060 (2017).

Cao, C. et al. Metamaterials-based label-free nanosensor for conformation and affinity biosensing. ACS Nano 7, 7583–7591 (2013).

Li, Y. L. et al. Graphene plasmon enhanced vibrational sensing of surface-adsorbed layers. Nano. Lett. 14, 1573–1577 (2014).

Wu, C. H. et al. Fano-resonant asymmetric metamaterials for ultrasensitive spectroscopy and identification of molecular monolayers. Nat. Mater. 11, 69–75 (2012).

Anker, J. N. et al. Biosensing with plasmonic nanosensors. Nat. Mater. 7, 442–453 (2008).

Leung, A., Shankar, P. M. & Mutharasan, R. A review of fiber-optic biosensors. Sens. Actuat B Chem. 125, 688–703 (2007).

Duan, X. X. et al. Quantification of the affinities and kinetics of protein interactions using silicon nanowire biosensors.Nat. Nanotechnol. 7, 401–407 (2012).

Kabashin, A. V. et al. Plasmonic nanorod metamaterials for biosensing. Nat. Mater. 8, 867–871 (2009).

Henry, A. I., Sharma, B., Cardinal, M. F., Kurouski, D. & Van Duyne, R. P. Surface-enhanced raman spectroscopy biosensing: in vivo diagnostics and multimodal imaging. Anal. Chem. 88, 6638–6647 (2016).

Iverson, N. M. et al. In vivo biosensing via tissue-localizable near-infrared-fluorescent single-walled carbon nanotubes. Nat. Nanotechnol. 8, 873–880 (2013).

Xu, S. C. et al. Real-time reliable determination of binding kinetics of DNA hybridization using a multi-channel graphene biosensor. Nat. Commun. 8, 14902 (2017).

Lee, H. et al. A graphene-based electrochemical device with thermoresponsive microneedles for diabetes monitoring and therapy. Nat. Nanotechnol. 11, 566–572 (2016).

Gao, W. et al. Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis. Nature 529, 509–514 (2016).

Wang, C. et al. High-kappa solid-gate transistor configured graphene biosensor with fully integrated structure and enhanced sensitivity.Adv. Funct. Mater. 26, 7668–7678 (2016).

Fu, W. Y. et al. Graphene transistors are insensitive to pH changes in solution. Nano. Lett. 11, 3597–3600 (2011).

Gao, N. et al. Specific detection of biomolecules in physiological solutions using graphene transistor biosensors. Proc.. Natl. Acad. Sci. U. S. A. 113, 14633–14638 (2016).

Wang, L. et al. One-dimensional electrical contact to a two-dimensional material. Science 342, 614–617 (2013).

Wang, F. et al. Gate-variable optical transitions in graphene. Science 320, 206–209 (2008).

Lopez-Sanchez, O., Lembke, D., Kayci, M., Radenovic, A. & Kis, A. Ultrasensitive photodetectors based on monolayer MoS 2. Nat. Nanotechnol. 8, 497–501 (2013).

Liu, M. et al. A graphene-based broadband optical modulator.Nature 474, 64–67 (2011).

Phare, C. T., Lee, Y. H. D., Cardenas, J. & Lipson, M. Graphene electro-optic modulator with 30 GHz bandwidth. Nat. Photonics 9, 511–514 (2015).

Yao, Y. et al. Broad electrical tuning of graphene-loaded plasmonic antennas. Nano. Lett. 13, 1257–1264 (2013).

Yan, H. G. et al. Damping pathways of mid-infrared plasmons in graphene nanostructures. Nat. Photonics 7, 394–399 (2013).

Dabidian, N. et al. Electrical switching of infrared light using graphene integration with plasmonic fano resonant metasurfaces. ACS Photonics 2, 216–227 (2015).

Farmer, D. B., Avouris, P., Li, Y. L., Heinz, T. F. & Han, S. J. Ultrasensitive plasmonic detection of molecules with graphene. ACS Photonics 3, 553–557 (2016).

Rodrigo, D. et al. Mid-infrared plasmonic biosensing with graphene.Science 349, 165–168 (2015).

Hu, H. et al. Far-field nanoscale infrared spectroscopy of vibrational fingerprints of molecules with graphene plasmons. Nat. Commun. 7, 12334 (2016).

Huck, C. et al. Surface-enhanced infrared spectroscopy using nanometer-sized gaps. ACS Nano 8, 4908–4914 (2014).

Limaj, O. et al. Infrared plasmonic biosensor for real-time and label-free monitoring of lipid membranes. Nano. Lett. 16, 1502–1508 (2016).

Schedin, F. et al. Detection of individual gas molecules adsorbed on graphene. Nat. Mater. 6, 652–655 (2007).

Dontschuk, N. et al. A graphene field-effect transistor as a molecule-specific probe of DNA nucleobases. Nat. Commun. 6, 6563 (2015).

Dong, X. C., Shi, Y. M., Huang, W., Chen, P. & Li, L. J. Electrical detection of DNA hybridization with single-base specificity using transistors based on CVD-grown graphene sheets. Adv. Mater. 22, 1649–1653 (2010).

Yu, R. W., Cox, J. D., Saavedra, J. R. M. & De Abajo, F. J. G. Analytical modeling of graphene plasmons. ACS Photonics 4, 3106–3114 (2017).

Zhu, A. Y., Yi, F., Reed, J. C., Zhu, H. & Cubukcu, E. Optoelectromechanical multimodal biosensor with graphene active region. Nano. Lett. 14, 5641–5649 (2014).

Yao, Y. et al. Electrically tunable metasurface perfect absorbers for ultrathin mid-infrared optical modulators. Nano. Lett. 14, 6526–6532 (2014).

Li, Z. Q. et al. Dirac charge dynamics in graphene by infrared spectroscopy. Nat. Phys. 4, 532–535 (2008).

Wu, X. et al. Selective sensing of saccharides using simple boronic acids and their aggregates. Chem. Soc. Rev. 42, 8032–8048 (2013).

Shoji, E. & Freund, M. S. Potentiometric saccharide detection based on the pK a changes of poly (aniline boronic acid). J. Am. Chem. Soc. 124, 12486–12493 (2002).

Zhu, Y. B. et al. A graphene-based affinity nanosensor for detection of low-charge and low-molecular-weight molecules. Nanoscale 8, 5815–5819 (2016).

Zhang, Y. et al. Capacitive sensing of glucose in electrolytes using graphene quantum capacitance varactors. ACS Appl. Mater. Inter 9, 38863–38869 (2017).

Moore, A. N. J. & Wayner, D. D. M. Redox switching of carbohydrate binding to ferrocene boronic acid. Can. J. Chem. 77, 681–686 (1999).

Mesch, M., Zhang, C. J., Braun, P. V. & Giessen, H. Functionalized hydrogel on plasmonic nanoantennas for noninvasive glucose sensing. ACS Photonics 2, 475–480 (2015).

Li, D. C. et al. Affinity based glucose measurement using fiber optic surface plasmon resonance sensor with surface modification by borate polymer. Sens. Actuat B Chem. 213, 295–304 (2015).

Yetisen, A. K. et al. Reusable, robust, and accurate laser-generated photonic nanosensor. Nano. Lett. 14, 3587–3593 (2014).

Stephenson-Brown, A. et al. Glucose selective surface plasmon resonance-based bis-boronic acid sensor. Analyst 138, 7140–7145 (2013).

Azuelos, P. et al. Theoretical investigation of Vernier effect based sensors with hybrid porous silicon-polymer optical waveguides. J. Appl. Phys. 121, 144501 (2017).

Savage, K. J. et al. Revealing the quantum regime in tunnelling plasmonics. Nature 491, 574–577 (2012).

Zhu, W. Q. & Crozier, K. B. Quantum mechanical limit to plasmonic enhancement as observed by surface-enhanced Raman scattering. Nat. Commun. 5, 5528 (2014).

Sarkar, D. et al. MoS2 field-effect transistor for next-generation label-free biosensors. ACS Nano 8, 3992–4003 (2014).

Lee, G. H. et al. Highly stable, dual-gated MoS2 transistors encapsulated by hexagonal boron nitride with gate-controllable contact, resistance, and threshold voltage. ACS Nano 9, 7019–7026 (2015).

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