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The substrate matters in the Raman spectroscopy analysis of cells

Mikoliunaite, Lina, Rodriguez, Raul D., Sheremet, Evgeniya, Kolchuzhin, Vladimir, Mehner, Jan, Ramanavicius, Arunas, Zahn, Dietrich R.T.·2015·Scientific Reports
DOI 10.1038/srep13150PMC PMC4550836
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Abstract

Raman spectroscopy is a powerful analytical method that allows deposited and/or immobilized cells to be evaluated without complex sample preparation or labeling. However, a main limitation of Raman spectroscopy in cell analysis is the extremely weak Raman intensity that results in low signal to noise ratios. Therefore, it is important to seize any opportunity that increases the intensity of the Raman signal and to understand whether and how the signal enhancement changes with respect to the substrate used. Our experimental results show clear differences in the spectroscopic response from cells on different surfaces. This result is partly due to the difference in spatial distribution of electric field at the substrate/cell interface as shown by numerical simulations. We found that the substrate also changes the spatial location of maximum field enhancement around the cells. Moreover, beyond conventional flat surfaces, we introduce an efficient nanostructured silver substrate that largely enhances the Raman signal intensity from a single yeast cell. This work contributes to the field of vibrational spectroscopy analysis by providing a fresh look at the significance of the substrate for Raman investigations in cell research.

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Figure 1 (a) Sketch of a yeast cell and (b) different components of the cell identified by RS under 514.5 nm laser excitation. Image was drawn by the author Raul D. Rodriguez.
Figure 1 (a) Sketch of a yeast cell and (b) different components of the cell identified by RS under 514.5 nm laser excitation. Image was drawn by the author Raul D. Rodriguez.CC BY · PubMed Central
Figure 2 (a) Raman spectra of the five substrates used for the Raman spectroscopy analysis of yeast cells: silicon with native 2–3 nm layer of SiOx; 100 nm SiO2 on Si; objective glass slide; highly oriented pyrolytic graphite (HOPG), and gold. A 514.5 nm laser was used at 2 mW power, acquisition time 10 min. (b) Raman spectroscopy results of the yeast deposited on the different substrates. The grey boxes show the spectral regions overlapping with the (subtracted) substrate signal. Trp refers to tryptophan. (c) Maximum intensity of the band at 1310 cm−1 for the different substrates.
Figure 2 (a) Raman spectra of the five substrates used for the Raman spectroscopy analysis of yeast cells: silicon with native 2–3 nm layer of SiOx; 100 nm SiO2 on Si; objective glass slide; highly oriented pyrolytic graphite (HOPG), and gold. A 514.5 nm laser was used at 2 mW power, acquisition time 10 min. (b) Raman spectroscopy results of the yeast deposited on the different substrates. The grey boxes show the spectral regions overlapping with the (subtracted) substrate signal. Trp refers to tryptophan. (c) Maximum intensity of the band at 1310 cm−1 for the different substrates.CC BY · PubMed Central
Figure 3 Numerical simulations using finite element method of electric field distribution in a yeast cell and its surroundings deposited on different substrates: (a) air, (b) gold, and (c) HOPG substrate (d) 3D image of electric field distribution in the yeast cell on gold. The simulations were performed under 515 nm excitation.
Figure 3 Numerical simulations using finite element method of electric field distribution in a yeast cell and its surroundings deposited on different substrates: (a) air, (b) gold, and (c) HOPG substrate (d) 3D image of electric field distribution in the yeast cell on gold. The simulations were performed under 515 nm excitation.CC BY · PubMed Central
Figure 4 (a) Raman spectra of a silver SERS substrate before and after cleaning in a diluted HNO3 solution; (b) the AFM visualization of the nanostructured silver substrate; (c) Selective single-cell attachment on the nanostructured Ag substrate is observed as compared to (d) the multiple cell aggregate formation on the glass substrate. (e) Raman spectra comparison of yeast cells deposited on a smooth Ag surface, glass, and on Ag particles. The inset shows a SEM image of some Ag nanocrystals.
Figure 4 (a) Raman spectra of a silver SERS substrate before and after cleaning in a diluted HNO3 solution; (b) the AFM visualization of the nanostructured silver substrate; (c) Selective single-cell attachment on the nanostructured Ag substrate is observed as compared to (d) the multiple cell aggregate formation on the glass substrate. (e) Raman spectra comparison of yeast cells deposited on a smooth Ag surface, glass, and on Ag particles. The inset shows a SEM image of some Ag nanocrystals.CC BY · PubMed Central
Figure 5 (a) Atomic force microscopy image of a single cell on the silver nanoparticle substrate. (b) Raman line scan showing the spatial distribution of the CH2 vibration at 1446 cm−1 related to proteins and lipids. (c) Raman spectrum of a single cell using SERS, the high enhancement even makes the bands visible at the same level as the silicon substrate allowing the observation of the phenyl band that was previously masked. No substrate background subtraction was performed in this case.
Figure 5 (a) Atomic force microscopy image of a single cell on the silver nanoparticle substrate. (b) Raman line scan showing the spatial distribution of the CH2 vibration at 1446 cm−1 related to proteins and lipids. (c) Raman spectrum of a single cell using SERS, the high enhancement even makes the bands visible at the same level as the silicon substrate allowing the observation of the phenyl band that was previously masked. No substrate background subtraction was performed in this case.CC BY · PubMed Central

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Cites

Research works printed but not linked: 37

  1. Yagur-Kroll, S. et al. A miniature porous aluminum oxide-based flow-cell for online water quality monitoring using bacterial sensor cells. Biosens Bioelectron 64, 625–632 (2015). · DOI
  2. Ramanavicius, A. & Ramanaviciene, A. Hemoproteins in Design of Biofuel Cells. Fuel Cells 9, 25–36 (2009). · DOI
  3. Selvakumar, R. et al. Screening of silver nanoparticles containing carbonized yeast cells for adsorption of few long-lived active radionuclides. J Radioanal Nucl Ch 288, 629–633 (2011). · DOI
  4. Lauterbach, T. et al. Weak Glycolipid Binding of a Microdomain-Tracer Peptide Correlates with Aggregation and Slow Diffusion on Cell Membranes. Plos One 7 (2012). 10.1371/journal.pone.0051222. · DOI
  5. Cheng, N. C. et al. Cell death detection by quantitative three-dimensional single-cell tomography. Biomed Opt Express 3, 2111–2120 (2012). · DOI
  6. Bago, J. R. et al. In Vivo Bioluminescence Imaging of Cell Differentiation in Biomaterials: A Platform for Scaffold Development. Tissue Eng Pt A 19, 593–603 (2013). · DOI
  7. Murata, K. et al. Whole-cell imaging of the budding yeast Saccharomyces cerevisiae by high-voltage scanning transmission electron tomography. Ultramicroscopy 146, 39–45 (2014). · DOI
  8. Antonio, K. A. & Schultz, Z. D. Advances in Biomedical Raman Microscopy. Anal Chem 86, 30–46 (2014). · DOI
  9. Baniukevic, J. et al. Magnetic gold nanoparticles in SERS-based sandwich immunoassay for antigen detection by well oriented antibodies. Biosens Bioelectron 43, 281–288 (2013). · DOI
  10. Matousek, P. & Stone, N. Recent advances in the development of Raman spectroscopy for deep non-invasive medical diagnosis. J Biophotonics 6, 7–19 (2013). · DOI
  11. Ferrari, A. C. & Basko, D. M. Raman spectroscopy as a versatile tool for studying the properties of graphene. Nat Nano 8, 235–246 (2013). · DOI · Paper page
  12. Huang, C. K., Hamaguchi, H. & Shigeto, S. In vivo multimode Raman imaging reveals concerted molecular composition and distribution changes during yeast cell cycle. Chem Commun 47, 9423–9425 (2011). · DOI
  13. Huang, Y. S., Karashima, T., Yamamoto, M. & Hamaguchi, H. Molecular-level investigation of the structure, transformation and bioactivity of single living fission yeast cells by time- and space-resolved Raman spectroscopy. Biochemistry-Us 44, 10009–10019 (2005). · DOI
  14. Matthaus, C., Chernenko, T., Newmark, J. A., Warner, C. M. & Diem, M. Label-free detection of mitochondrial distribution in cells by nonresonant Raman microspectroscopy. Biophys J 93, 668–673 (2007). · DOI
  15. Notingher, I., Verrier, S., Haque, S., Polak, J. M. & Hench, L. L. Spectroscopic study of human lung epithelial cells (A549) in culture: Living cells versus dead cells. Biopolymers 72, 230–240 (2003). · DOI
  16. Chiu, L., Ando, M. & Hamaguchi, H. Study of the ‘Raman spectroscopic signature of life’ in mitochondria isolated from budding yeast. J Raman Spectrosc 41, 2–3 (2010). · DOI
  17. Onogi, C. & Hamaguchi, H. O. Photobleaching of the “Raman Spectroscopic Signature of Life” and Mitochondrial Activity in Rho(-) Budding Yeast Cells. J Phys Chem B 113, 10942–10945 (2009). · DOI
  18. Brauchle, E., Thude, S., Brucker, S. Y. & Schenke-Layland, K. Cell death stages in single apoptotic and necrotic cells monitored by Raman microspectroscopy. Sci. Rep. 4 (2014). 10.1038/srep04698 · DOI
  19. Huang, Y. S., Karashima, T., Yamamoto, M. & Hamaguchii, H. Molecular-level pursuit of yeast mitosis by time- and space-resolved Raman spectroscopy. J Raman Spectrosc 34, 1–3 (2003). · DOI
  20. Cheng, H. W. et al. Surface-enhanced Raman spectroscopic detection of Bacillus subtilis spores using gold nanoparticle based substrates. Anal Chim Acta 707, 155–163 (2011). · DOI
  21. Alexander, K. D. & Schultz, Z. D. Tip-Enhanced Raman Detection of Antibody Conjugated Nanoparticles on Cellular Membranes. Anal Chem 84, 7408–7414 (2012). · DOI
  22. Deckert-Gaudig, T., Bailo, E. & Deckert, V. Perspectives for spatially resolved molecular spectroscopy - Raman on the nanometer scale. J Biophotonics 1, 377–389 (2008). · DOI
  23. Rosch, P., Harz, M., Schmitt, M. & Popp, J. Raman spectroscopic identification of single yeast cells. J Raman Spectrosc 36, 377–379 (2005). · DOI
  24. Kniggendorf, A. K., Gaul, T. W. & Meinhardt-Wollweber, M. Effects of Ethanol, Formaldehyde and Gentle Heat Fixation in Confocal Resonance Raman Microscopy of Purple NonSulfur Bacteria. Microsc Res Techniq 74, 177–183 (2011). · DOI
  25. Draux, F. et al. Raman spectral imaging of single living cancer cells: a preliminary study. Analyst 134, 542–548 (2009). · DOI
  26. Novikov, S. M., Beermann, J., Bozhevolnyi, S. I., Harkness, L. M. & Kassem, M. Raman microscopy of individual living human embryonic stem cells. Proc Spie 7715 (2010). 10.1117/12.854207. · DOI
  27. Ocampo, A., Liu, J., Schroeder, E. A., Shadel, G. S. & Barrientos, A. Mitochondrial Respiratory Thresholds Regulate Yeast Chronological Life Span and its Extension by Caloric Restriction. Cell Metab 16, 55–67 (2012). · DOI
  28. Matsumoto, S., Yamanaka, K., Ogikubo, H., Akasaka, H. & Ohtake, N. Carbon nanotube dispersed conductive network for microbial fuel cells. Appl Phys Lett 105, 083904 (2014). · DOI
  29. Ring, J. et al. The metabolism beyond programmed cell death in yeast. Exp Cell Res 318, 1193–1200 (2012). · DOI
  30. Luo, S. C., Sivashanmugan, K., Liao, J. D., Yao, C. K. & Peng, H. C. Nanofabricated SERS-active substrates for single-molecule to virus detection in vitro: A review. Biosens Bioelectron 61, 232–240 (2014). · DOI
  31. Kleinman, S. L., Frontiera, R. R., Henry, A. I., Dieringer, J. A. & Van Duyne, R. P. Creating, characterizing and controlling chemistry with SERS hot spots. Phys Chem Chem Phys 15, 21–36 (2013). · DOI
  32. Kalbacova J. et al. Chemical stability of plasmon-active silver tips for tip-enhanced Raman spectroscopy. Nanospectroscopy 1, 12–18 (2015). · DOI
  33. Rai, M., Yadav, A. & Gade, A. Silver nanoparticles as a new generation of antimicrobials. Biotechnol Adv 27, 76–83 (2009). · DOI
  34. Nosoh, Y. Absorption spectrum of actively respiring yeast cells. Arch. Biochem. Biophys. 105, 439–445 (1964). · DOI
  35. Maquelin, K. et al. Identification of medically relevant microorganisms by vibrational spectroscopy. J Microbiol Meth 51, 255–271 (2002). · DOI
  36. Hancock, R. & Jeon, K. W. New Models of the Cell Nucleus: Crowding, Entropic Forces, Phase Separation and Fractals, Vol. 307 (Academic Press, 2013). · DOI
  37. Liang, X., Liu, A., Lim, C., Ayi, T. & Yap, P. Determining refractive index of single living cell using an integrated microchip. Sens Actuator A-Phys 133, 349–354 (2007). · DOI

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Metadata

Authors
Mikoliunaite, L., Rodriguez, R. D., Sheremet, E., Kolchuzhin, V., Mehner, J., Ramanavicius, A., & Zahn, D. R. T.
Venue
Scientific Reports
Publisher
Springer Science and Business Media LLC
Published
2015-08-27
Volume
5
Issue
1
ISSN
2045-2322
DOI
10.1038/srep13150
PMC
PMC4550836
Cited by
87
References
1
Language
en
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