Abstract
Blood contains a range of protein biomarkers that could be used in the early detection of disease. To achieve this, however, requires sensors capable of detecting (with high reproducibility) biomarkers at concentrations one million times lower than the concentration of the other blood proteins. Here, we show that a sandwich assay that combines mechanical and optoplasmonic transduction can detect cancer biomarkers in serum at ultralow concentrations. A biomarker is first recognized by a surface-anchored antibody and then by an antibody in solution that identifies a free region of the captured biomarker. This second antibody is tethered to a gold nanoparticle that acts as a mass and plasmonic label; the two signatures are detected by means of a silicon cantilever that serves as a mechanical resonator for ‘weighing’ the mass of the captured nanoparticles and as an optical cavity that boosts the plasmonic signal from the nanoparticles. The capabilities of the approach are illustrated with two cancer biomarkers: the carcinoembryonic antigen and the prostate specific antigen, which are currently in clinical use for the diagnosis, monitoring and prognosis of colon and prostate cancer, respectively. A detection limit of 1 × 10−16 g ml−1 in serum is achieved with both biomarkers, which is at least seven orders of magnitude lower than that achieved in routine clinical practice. Moreover, the rate of false positives and false negatives at this concentration is extremely low, ∼10−4.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Liotta, L. A., Ferrari, M. & Petricoin, E. Clinical proteomics: written in blood. Nature 425, 905–905 (2003).
Simpson, R. J., Bernhard, O. K., Greening, D. W. & Moritz, R. L. Proteomics-driven cancer biomarker discovery: looking to the future. Curr. Opin. Chem. Biol. 12, 72–77 (2008).
Hanash, S. M., Pitteri, S. J. & Faca, V. M. Mining the plasma proteome for cancer biomarkers. Nature 452, 571–579 (2008).
Schiess, R., Wollscheid, B. & Aebersold, R. Targeted proteomic strategy for clinical biomarker discovery. Mol. Oncol. 3, 33–44 (2009).
Stern, E. et al. Label-free biomarker detection from whole blood. Nature Nanotech. 5, 138–142 (2009).
Swierczewska, M., Liu, G., Lee, S. & Chen, X. High-sensitivity nanosensors for biomarker detection. Chem. Soc. Rev. 41, 2641–2655 (2012).
de La Rica, R. & Stevens, M. M. Plasmonic ELISA for the ultrasensitive detection of disease biomarkers with the naked eye. Nature Nanotech. 7, 821–824 (2012).
Nair, P. R. & Alam, M. A. Performance limits of nanobiosensors. Appl. Phys. Lett. 88, 233120 (2006).
Squires, T. M., Messinger, R. J. & Manalis, S. R. Making it stick: convection, reaction and diffusion in surface-based biosensors. Nature Biotechnol. 26, 417–426 (2008).
Kosaka, P. M. et al. Tackling reproducibility in microcantilever biosensors: a statistical approach for sensitive and specific end-point detection of immunoreactions. Analyst 138, 863–872 (2013).
Mayer, K. M. & Hafner, J. H. Localized surface plasmon resonance sensors. Chem. Rev. 111, 3828–3857 (2011).
Anker, J. N. et al. Biosensing with plasmonic nanosensors. Nature Mater. 7, 442–453 (2008).
Fritz, J. et al. Translating biomolecular recognition into nanomechanics. Science 288, 316–318 (2000).
Braun, T. et al. Quantitative time-resolved measurement of membrane protein–ligand interactions using microcantilever array sensors. Nature Nanotech. 4, 179–185 (2009).
Arlett, J. L., Myers, E. B. & Roukes, M. L. Comparative advantages of mechanical biosensors. Nature Nanotech. 6, 203–215 (2011).
Boisen, A., Dohn, S., Keller, S. S., Schmid, S. & Tenje, M. Cantilever-like micromechanical sensors. Rep. Prog. Phys. 74, 036101 (2011).
Buchapudi, K. R., Huang, X., Yang, X., Ji, H-F. & Thundat, T. Microcantilever biosensors for chemicals and bioorganisms. Analyst 136, 1539–1556 (2011).
Tamayo, J., Kosaka, P. M., Ruz, J. J., San Paulo, A. & Calleja, M. Biosensors based on nanomechanical systems. Chem. Soc. Rev. 42, 1287–1311 (2013).
Longo, G. et al. Rapid detection of bacterial resistance to antibiotics using AFM cantilevers as nanomechanical sensors. Nature Nanotech. 8, 522–526 (2013).
Huber, F., Lang, H. P., Backmann, N., Rimoldi, D. & Gerber, Ch. Direct detection of a BRAF mutation in total RNA from melanoma cells using cantilever arrays. Nature Nanotech. 8, 125–129 (2013).
Thakur, G. et al. Investigation of pH-induced protein conformation changes by nanomechanical deflection. Langmuir 30, 2109–2116 (2014).
Ndieyira, J. W. et al. Surface stress sensors for rapid and ultrasensitive detection of active free drugs in human serum. Nature Nanotech. 9, 225–232 (2014).
Tamayo, J. et al. Imaging the surface stress and vibration modes of a microcantilever by laser beam deflection microscopy. Nanotechnology 23, 315501 (2012).
Waggoner, P. S., Varshney, M. & Craighead, H. G. Detection of prostate specific antigen with nanomechanical resonators. Lab Chip 9, 3095–3099 (2009).
Ekinci, K. L., Yang, Y. T. & Roukes, M. L. Ultimate limits to inertial mass sensing based upon nanoelectromechanical systems. J. Appl. Phys. 95, 2682–2689 (2004).
Hanay, M. S. et al. Single-protein nanomechanical mass spectrometry in real time. Nature Nanotech. 7, 602–608 (2012).
Chaste, J. et al. A nanomechanical mass sensor with yoctogram resolution. Nature Nanotech. 7, 301–304 (2012).
Knight, M. W., Wu, Y., Lassiter, J. B., Nordlander, P. & Halas, N. J. Substrates matter: influence of an adjacent dielectric on an individual plasmonic nanoparticle. Nano Lett. 9, 2188–2192 (2009).
Fan, J. A. et al. Near-normal incidence dark-field microscopy: applications to nanoplasmonic spectroscopy. Nano Lett. 12, 2817–2821 (2012).
Mock, J. J. et al. Distance-dependent plasmon resonant coupling between a gold nanoparticle and gold film. Nano Lett. 8, 2245–2252 (2008).
Özkumur, E. et al. Label-free and dynamic detection of biomolecular interactions for high-throughput microarray applications. Proc. Natl Acad. Sci. USA 105, 7988–7992 (2008).
Gómez-Martínez, R. et al. Silicon chips detect intracellular pressure changes in living cells. Nature Nanotech. 8, 517–521 (2013).
Schmidt, M. A., Lei, D. Y., Wondraczek, L., Nazabal, V. & Maier, S. A. Hybrid nanoparticle–microcavity-based plasmonic nanosensors with improved detection resolution and extended remote-sensing ability. Nature Commun. 3, 1108 (2012).
Zhou, F. et al. Sensitive sandwich ELISA based on a gold nanoparticle layer for cancer detection. Analyst 137, 1779–1784 (2012).
Perkins, N. J., Schisterman, E. F. & Vexler, A. ROC curve inference for best linear combination of two biomarkers subject to limits of detection. Biometrical J. 53, 464–476 (2011).
Haerifar, M. & Azizian, S. Fractal-like kinetics for adsorption on heterogeneous solid surfaces. J. Phys. Chem. C 118, 1129–1134 (2014).
Acknowledgements
We acknowledge financial support from the Spanish Science Ministry (MINECO) through projects MAT2012-36197 and INMUNO-SWING ITP-2011-0821-010000, and from the European Research Council through Starting Grant NANOFORCELLS (ERC-StG-2011-278860). R.A. da Silva acknowledges financial support from the Brazilian Agency CNPq through grant 209693/2012-6. The authors thank J. M. de la Fuente and V. Grazu for their assistance with the biochemical functionalization protocols.
Author information
Authors and Affiliations
Contributions
P.M.K., J.T. and M.C. conceived and designed the work. P.M.K. and R.A.S. performed the bioassays. P.M.K. and V.P. carried out the mechanical and scattering detection. P.M.K., V.P. and J.T. developed the instrumentation for mechanical and plasmonics detection. P.M.K., M.U.G. and V.P. carried out spectral scattering measurements. D.R., V.P. and M.U.G. performed the spectra scattering modelling. V.P., J.J.R. and P.M.K. executed the SEM surface inspections and developed the software for the data treatment. J.T., P.M.K. and M.C. wrote the manuscript with inputs from all authors. All the authors analysed the data, discussed the results and commented on the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Supplementary information
Supplementary information
Supplementary Information (PDF 1100 kb)
Rights and permissions
About this article
Cite this article
Kosaka, P., Pini, V., Ruz, J. et al. Detection of cancer biomarkers in serum using a hybrid mechanical and optoplasmonic nanosensor. Nature Nanotech 9, 1047–1053 (2014). https://doi.org/10.1038/nnano.2014.250
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/nnano.2014.250
This article is cited by
-
Ultrasensitive detection of vital biomolecules based on a multi-purpose BioMEMS for Point of care testing: digoxin measurement as a case study
Scientific Reports (2024)
-
Immobilization of azide-functionalized proteins to micro- and nanoparticles directly from cell lysate
Microchimica Acta (2024)
-
Relay-type sensing mode: A strategy to push the limit on nanomechanical sensor sensitivity based on the magneto lever
Nano Research (2023)
-
Nanomechanical sensor for rapid and ultrasensitive detection of tumor markers in serum using nanobody
Nano Research (2022)