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Nanoscale spatially resolved infrared spectra from single microdroplets

Thomas Müller a, Francesco Simone Ruggeri b, Andrzej J. Kulik b, Ulyana Shimanovich a, Thomas O. Mason a, Tuomas P. J. Knowles *a and Giovanni Dietler *b
aDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. E-mail: tpjk2@cam.ac.uk
bEPFL, Laboratory of the Physics of Living Matter, Route de la Sorge, CH-1015 Lausanne, Switzerland. E-mail: giovanni.dietler@epfl.ch

Received 29th October 2013 , Accepted 29th January 2014

First published on 29th January 2014


Abstract

Droplet microfluidics has emerged as a powerful platform allowing a large number of individual reactions to be carried out in spatially distinct microcompartments. Due to their small size, however, the spectroscopic characterisation of species encapsulated in such systems remains challenging. In this paper, we demonstrate the acquisition of infrared spectra from single microdroplets containing aggregation-prone proteins. To this effect, droplets are generated in a microfluidic flow-focussing device and subsequently deposited in a square array onto a ZnSe prism using a micro stamp. After drying, the solutes present in the droplets are illuminated locally by an infrared laser through the prism, and their thermal expansion upon absorption of infrared radiation is measured with an atomic force microscopy tip, granting nanoscale resolution. Using this approach, we resolve structural differences in the amide bands of the spectra of monomeric and aggregated lysozyme from single microdroplets with picolitre volume.


1. Introduction

Lab on a chip technologies offer a range of unique opportunities for preparation and manipulation of molecular species. In particular, the compartmentalisation of biomolecules into monodisperse, micrometer-sized droplets allows for quantitative, high-throughput biochemical studies such as directed evolution,1–3 screening for reagents, reaction conditions or cells,4–6 as well as for the fabrication of designer emulsions and microgels.7,8 Microdroplets can also allow the study of rare events, such as nucleation, and have thus enabled studies of the nucleation step of Aβ aggregation9 as well as insulin amyloid growth.10

With the rapid development of microfluidic technologies, the need of ultra-sensitive detection methods becomes ever more pressing. A large fraction of present-day experiments rely on optical detection,11–13 with alternative strategies including, for instance, electrochemistry,14,15 mass spectrometry16–18 or Raman spectroscopy.19,20 Also, infrared (IR) spectroscopy techniques have been utilised to monitor the contents of microfluidic flows.21,22 Here, we demonstrate an approach for performing off-line IR spectroscopy on the contents of single microdroplets with sub-micrometer spatial resolution.

Fourier transform infrared spectroscopy (FTIR) is a key method for studying conformational properties of proteins and in particular for inferring their secondary structure.23,24 Exposed to IR radiation, chemical bonds undergo vibrations such as stretching, bending and rotating. In the case of proteins, this leads to a spectrum characterised by a set of absorption features in the amide bands.23,25 Thereby, the modes most commonly used to study the structural properties of polypeptides are the amide I, amide II and amide III bands. Amide I arises mainly from C[double bond, length as m-dash]O stretching vibrations and is generally localised within 1690–1600 cm−1; the exact band position is determined by the backbone conformation – in other words by the secondary structure of the protein. In contrast, amide II originates from a combination of N–H bending and C–N stretching and is localised around 1580–1510 cm−1. It is still possible to associate the position of the band to the protein's secondary structure, but the fact that this band stems from a combination of two different modes makes this analysis less straightforward. Finally, the amide III band is a combination of many modes such as C–N stretching, N–H in-plane bending, C–C stretching as well as C[double bond, length as m-dash]O bending and occurs in the range of 1300–1200 cm−1. In practice, α-helical structures have this band centred around 1654 cm−1, random coil proteins show a maximum around 1640 cm−1, and β-sheet-rich amyloidic aggregates exhibit an amide I maximum within 1610–1630 cm−1.26

To achieve sub-micron spatial resolution for protein IR spectroscopy experiments, we utilised a thermomechanical detection technique based on atomic force microscopy (AFM): if an IR pulse at a given wavelength is absorbed by a sample, the local temperature rise leads to local thermal expansion.27–29 This deformation excites a mechanical resonance in the AFM cantilever which is in contact with the analyte. AFM detection of this temporary expansion of the scanned region therefore allows nanoscale resolution IR imaging and acquisition of local chemical spectra. Simultaneously with the IR-absorption image, the system is able to scan topography (with conventional contact mode) and sample stiffness (related to the frequency of the cantilever oscillations).

In order to be able to reliably locate and distinguish the protein contents of individual microdroplets for performing nanoscale IR spectroscopy as well as to provide for an enormous amount of statistics, the droplets are aligned on a ZnSe prism using a pre-patterned polymer stamp and dried overnight, as shown schematically in Fig. 1(a)–(c). Thereafter, spectra of single dried microdroplets containing monomeric and aggregated protein are acquired, and the ability to easily differentiate between the two demonstrates the efficacy of the presented approach.


image file: c3lc51219c-f1.tif
Fig. 1 (a) Schematic representation of the droplets deposited on a ZnSe prism and the pre-patterned polymer stamp. The indents on the grid are 20 μm × 20 μm × 25 μm, separated by 200 μm in each direction. (b) Alignment of the droplets on a grid by pressing the polymer onto the solution. (c) Pictogram of a laser locally heating the dried protein contents of single droplets, with an atomic force microscope measuring the resulting thermal expansion.

The capability of studying the contents of single microdroplets individually with a high-precision method paves the way for a wide range of experiments harnessing the advantages of microfluidics. For instance, combination with on-chip selection techniques30–34 that pre-screen for a predefined species within droplets could allow for specific in-depth investigation of analytes in the context of protein aggregation as well as directed evolution. In addition, it should be emphasised that the technique of aligning individual microfluidic droplets off-chip offers further possibilities for systematic ex situ assays beyond IR spectroscopy or AFM.

2. Methods

In brief, micrometer-sized droplets of protein solutions in fluorinated oil are generated via a microfluidic droplet maker and deposited on a ZnSe prism (Fig. 1(a)). These droplets are then aligned on a grid using a patterned stamp of polydimethylsiloxane (PDMS) as shown in Fig. 1(b) and dried overnight in a desiccator at room temperature or, alternatively, in an oven at 65 °C. To measure the IR spectrum, the dried protein is heated locally using a laser and the resulting thermal expansion is determined using an AFM tip, which is sketched in Fig. 1(c). In the following, these steps are described in more detail.

2.1 Protein solutions

For the monomeric solution, lysozyme from chicken egg white (Sigma-Aldrich, #62970) is dissolved in deionised water at a concentration of 6 mg ml−1. Aggregates are formed by mixing 60 mg lysozyme with 1% Sodium Azide, 200 μl of 1 M HCl, 600 μl of 10 mM HCl, 200 μl of 2 M NaCl and 5 μl of a preformed seed-fibril solution, filtering through 0.45 μm pores, followed by incubation at 65 °C for 24 h. This approach yields approximately micrometer-sized fibrils that form a gel-like structure when encapsuled as an aqueous droplet.35

2.2 Droplet generation

As depicted in Fig. 2(a), droplets are generated using a microfluidic junction with a cross-section of 25 μm × 25 μm, fabricated through a standard soft lithography approach.36 The protein solution is injected through the central arm at a flow rate of 50 μl h−1, whereas fluorinated oil (Fluorinert FC40, Sigma-Aldrich, #F9755) containing 2% w/v surfactant (N,Nbis(n-propyl)polyethylene oxide-bis(2-trifluoromethyl polyper fluoroethylene oxide) amide) is pumped through the side channels at 100 μl h−1. These settings result in droplets with a diameter of approximately 25 μm which are collected in a microcentrifuge tube.
image file: c3lc51219c-f2.tif
Fig. 2 (a) Micrograph of droplet formation in a microfluidic device. The aqueous solution containing the protein is pushed through the central channel and encapsulated in fluorinated oil streaming in from both sides. (b) Photograph of the aligned and dried droplets after removing the polymer slab. Each bright spot is the protein content of a microdroplet, and the smears in the background stem from the fluorinated oil which has been found to not affect the IR measurements. (c) Height profile of a dried droplet – such as the ones pictured in (b) – measured by atomic force microscopy.

2.3 Droplet alignment and drying

One ml of solution with droplets from either monomeric or aggregated protein, respectively, are pipetted onto opposite ends of the surface of an attenuated total internal reflection element prism made out of ZnSe monocrystals. Thereafter, a pre-patterned PDMS stamp is pressed onto each drop of liquid in order to align the droplets to its imprinted grid. The grid consists of 20 μm × 20 μm × 25 μm indents to capture individual droplets, with a spacing of 200 μm, and is imprinted into PDMS by soft lithography.36 This process is illustrated in Fig. 1(a) and (b); for simplicity only one instance of droplet solution is shown. The prism – including the alignment polymer – is then stored for 15 h in a desiccator. Alternatively, the devices can be dried at elevated temperatures – for instance, in an oven at 65 °C at ambient pressures for 15 h. This, however, will lead to further aggregation inside the droplets upon drying. Careful removal of the PDMS slab yields a regular pattern of the dried contents of single microdroplets – in the present case protein – as shown in Fig. 2(b). AFM images of droplets dried using these two approaches are presented in ESI.

2.4 Spatially resolved infrared spectroscopy

Samples were scanned by a commercial nano-IR microscopy system (Anasys Instruments) with a line rate between 0.02–0.08 Hz in contact mode. We used a silicon cantilever (AppNano) with a nominal radius of 10 nm and a nominal spring constant of 0.5 N m−1. All images have a resolution of 512 × 256 pixels. Spectra were collected with a step width of 1 cm−1 within the range of 1200–1800 cm−1 at 40% of the instrument's maximal laser power. All measurements were performed at room temperature.

3. Results and discussion

Our results demonstrate that using the approach presented here, it is feasible to align tens to hundreds – if desired even thousands – of microdroplets, as shown in Fig. 2(b). Such a regular deposition allows for reliable, systematic off-line assays including ultra-high precision analytical tools as, for instance, the nanoscale IR spectroscopy utilised in this work.

Fig. 3(a)–(d) shows how the aggregated lysozyme from an individual microdroplet can be analysed accurately. Presented is the spatially resolved absorption of infrared radiation, determined via thermal expansion as measured by an AFM tip. The wavenumbers are fixed at 1640 cm−1 (a), 1620 cm−1 (b), 1530 cm−1 (c), 1250 cm−1 (d), corresponding to two instances from the amide I band, one from the amide II band, and one from the amide III band, respectively.


image file: c3lc51219c-f3.tif
Fig. 3 (a)–(d) Spatially resolved IR absorption of aggregated lysozyme from a single microdroplet at different excitation wavelengths corresponding to the amide I–III bands. (e) IR Spectra from droplets containing monomeric (solid red line) and aggregated (dashed blue line) lysozyme, as well as initially monomeric lysozyme that has been kept at 65 °C for 15 h for drying (dash-dotted green line). The measurements are averages of 12 (monomer), 21 (heated monomer) and 15 (aggregates) individual spectra taken at various locations within one dried droplet and are smoothed with a Savitzky–Golay filter. All curves are normalised to a maximal amplitude of 1. Insets for the structures of monomer and lysozyme amyloid are adapted from ref. 37 and 38, respectively.

While all the four plots share their topographical features, it is readily apparent that absorption is higher in the amide I band than the amide II and III bands. Moreover, the absorption in the amide III band exhibits a stronger spatial dependence. This could be linked to the fact that this band is sensitive to different vibrational modes and therefore is influenced by local conformational changes accompanying the transition of protein from its monomeric form into aggregates.39

Thus, it is possible to investigate the IR absorption behaviour of the contents of individual droplets locally. Furthermore, the correlation with the height measurement from the AFM scan in Fig. 2(c) emphasises that the recorded absorption originates from the contents of a single microdroplet.

The complete spectrum of the lysozyme aggregates in this droplet – averaged over 12 spectra recorded at different locations and smoothed by a Savitzky–Golay filter – is given by the dashed blue line in Fig. 3(e). As expected from the spatially resolved data, the nearly constant absorption observed in the amide I band – lightly peaked at approximately 1640 cm−1 – is higher than in the amide II and III bands.

Remarkably, when comparing with a spectrum taken from a droplet containing only monomeric protein (the solid red line is the smoothed average over 15 individual spectra), striking differences are apparent. First and foremost, the monomeric protein exhibits a sharp peak at around 1655 cm−1, due to the high α-helical content of lysozyme, and a shoulder at 1640 cm−1 originating from random coils and β-sheets – all in good agreement with the structure of lysozyme40 and providing evidence that the secondary structural elements are largely unaffected by the gentle drying procedure. Secondly, the amide II band seems slightly shifted towards higher energies for the monomer, and thirdly, absorption in the amide III band is significantly higher in monomeric than in aggregated protein.

The shift of the amide I peak as well as the dramatic increase of absorption at 1620 cm−1 are the typical signatures of the formation of amyloid-like cross-β structure26 and have been studied extensively for the case of lysozyme.41 Notably, our spectra from dried lysozyme correspond very well to measurements obtained in bulk solution.41 In fact, even if monomers already contain β-sheet domains their spectra differ from the amyloidic β-sheets and can be distinguished by the change in the location of the amide I peak.42 Similarly, the position of the amide II band is expected to shift towards lower wavenumbers if the secondary structure changes from predominantly α-helical to β-sheet.23 As the amide III band has a significantly more complex origin, the differences in the monomeric and aggregated spectra are less directly explainable, but strong deviations are reasonable bearing in mind the extensive structural modification proteins undergo during aggregation.

Finally, comparison to a spectrum from a droplet containing initially monomeric protein that was dried at 65 °C and ambient pressure for 15 h – such that aggregation can occur within the droplet – reveals that the monomeric features of the amide I and III bands are lost upon fibrillation (dash-dotted green line; average over 21 spectra). Note that due to the normalisation of the spectra to 1 the amide II band seems more pronounced. Nevertheless, the relative amplitudes of the amide II and III bands correspond very well to the spectra from the aggregates. For a ZnSe prism that was covered with SiO2 and heated with droplets containing monomeric lysozyme, we observed a similar increase of absorption in the amide I band but the peak in the amide III band did not vanish, which may be an indication of partial aggregation (see ESI).

4. Conclusions

A technique for deposition and alignment of individual micrometer-sized droplets for their precise analysis using nanoscale spatially resolved IR spectroscopy was presented. Off-stream alignment on a grid was achieved by means of a stamp with a patterned indentation on its surface. Drying overnight fixes their content which is accessible upon removal of the polymer grid. Subsequent high-precision measurement of local IR absorption demonstrates the power of this approach to probe structural transitions in ultra small volumes.

Spectra from droplets containing monomeric, aggregated and aggregating lysozyme were obtained and found to be readily distinguishable. In particular, the shift in the amide I band allowed us to identify an α-to-β secondary structure transition which is associated with amyloid formation.

While nanoscale IR spectroscopy represents a valuable analytic technique for the investigation of the contents of microfluidic droplets, the method of their alignment is not restricted to infrared spectroscopy. Indeed, any technique requiring systematic ex situ access to the microdroplets' content is compatible with the demonstrated protocol.

Acknowledgements

We thank Pablo Aran Terol for fabricating the photolithography master for the microfluidic droplet maker and Julius Kirkegaard for help with the 3d sketches. Financial support from the Biotechnology and Biological Sciences Research Council (BBSRC), the Frances and Augustus Newman Foundation, and the Swiss National Science Foundation (SNF) is gratefully acknowledged.

References

  1. P. S. Dittrich, M. Jahnz and P. Schwille, ChemBioChem, 2005, 6, 811–814 CrossRef CAS PubMed.
  2. F. Courtois, L. F. Olguin, G. Whyte, D. Bratton, W. T. S. Huck, C. Abell and F. Hollfelder, ChemBioChem, 2008, 9, 439–446 CrossRef CAS PubMed.
  3. J. Agresti, E. Antipov, A. Abate, K. Ahn, A. Rowat, J. Baret, M. Marquez, A. Klibanov, A. Griffiths and D. Weitz, Proc. Natl. Acad. Sci. U. S. A., 2010, 107, 4004–4009 CrossRef CAS PubMed.
  4. T. Hatakeyama, D. L. Chen and R. F. Ismagilov, J. Am. Chem. Soc., 2006, 128, 2518–2519 CrossRef CAS PubMed.
  5. J. Hong, J. B. Edel and A. J. deMello, Drug Discovery Today, 2009, 14, 134–146 CrossRef CAS PubMed.
  6. E. Brouzes, M. Medkova, N. Savenelli, D. Marran, M. Twardowski, J. B. Hutchison, J. M. Rothberg, D. R. Link, N. Perrimon and M. L. Samuels, Proc. Natl. Acad. Sci. U. S. A., 2009, 106, 14195–14200 CrossRef CAS PubMed.
  7. R. K. Shah, H. C. Shum, A. C. Rowat, D. Lee, J. J. Agresti, A. S. Utada, L.-Y. Chu, J.-W. Kim, A. Fernandez-Nieves, C. J. Martinez and D. A. Weitz, Mater. Today, 2008, 11, 18–27 CrossRef CAS.
  8. R. K. Shah, J.-W. Kim, J. J. Agresti, D. A. Weitz and L.-Y. Chu, Soft Matter, 2008, 4, 2303–2309 RSC.
  9. M. Meier, J. Kennedy-Darling, S. Choi, E. Norstrom, S. Sisodia and R. Ismagilov, Angew. Chem., Int. Ed., 2009, 48, 1487–1489 CrossRef CAS PubMed.
  10. T. P. J. Knowles, D. A. White, A. R. Abate, J. J. Agresti, S. I. A. Cohen, R. A. Sperling, E. J. D. Genst, C. M. Dobson and D. A. Weitz, Proc. Natl. Acad. Sci. U. S. A., 2011, 108, 14746–14751 CrossRef CAS PubMed.
  11. H. Song, D. Chen and R. Ismagilov, Angew. Chem., Int. Ed., 2006, 45, 7336–7356 CrossRef CAS PubMed.
  12. A. Theberge, F. Courtois, Y. Schaerli, M. Fischlechner, C. Abell, F. Hollfelder and W. Huck, Angew. Chem., Int. Ed., 2010, 49, 5846–5868 CrossRef CAS PubMed.
  13. F. Gielen, L. van Vliet, B. T. Koprowski, S. R. A. Devenish, M. Fischlechner, J. B. Edel, X. Niu, A. J. deMello and F. Hollfelder, Anal. Chem., 2013, 85, 4761–4769 CrossRef CAS PubMed.
  14. C. Luo, X. Yang, Q. Fu, M. Sun, Q. Ouyang, Y. Chen and H. Ji, Electrophoresis, 2006, 27, 1977–1983 CrossRef CAS PubMed.
  15. S. Liu, Y. Gu, R. Le Roux, S. Matthews, D. Bratton, K. Yunus, A. Fisher and W. Huck, Lab Chip, 2008, 8, 1937–1942 RSC.
  16. G. T. Roman, M. Wang, K. N. Shultz, C. Jennings and R. T. Kennedy, Anal. Chem., 2008, 80, 8231–8238 CrossRef CAS PubMed.
  17. L. M. Fidalgo, G. Whyte, B. T. Ruotolo, J. L. P. Benesch, F. Stengel, C. Abell, C. V. Robinson and W. T. S. Huck, Angew. Chem., Int. Ed., 2009, 48, 3665–3668 CrossRef CAS PubMed.
  18. J. Pei, Q. Li, M. S. L. G. A. Valaskovic and R. T. Kennedy, Anal. Chem., 2009, 81, 6558–6561 CrossRef CAS PubMed.
  19. G. Cristobal, L. Arbouet, F. Sarrazin, D. Talaga, J.-L. Bruneel, M. Joanicot and L. Servant, Lab Chip, 2006, 6, 1140–1146 RSC.
  20. S. E. Barnes, Z. T. Cygan, J. K. Yates, K. L. Beers and E. J. Amis, Analyst, 2006, 131, 1027–1033 RSC.
  21. T. Pan, R. T. Kelly, M. C. Asplund and A. T. Woolley, J. Chromatogr. A, 2004, 1027, 231–235 CrossRef CAS.
  22. K. L. A. Chan, S. Gulati, J. B. Edel, A. J. de Mello and S. G. Kazarian, Lab Chip, 2009, 9, 2909–2913 RSC.
  23. M. Jackson and H. H. Mantsch, Crit. Rev. Biochem. Mol. Biol., 1995, 30, 95–120 CrossRef CAS PubMed.
  24. A. Barth, Biochim. Biophys. Acta, 2007, 1767, 1073–1101 CrossRef CAS PubMed.
  25. P. I. Haris and F. Severcan, J. Mol. Catal. B: Enzym., 1999, 7, 207–221 CrossRef CAS.
  26. R. Sarroukh, E. Goormaghtigh, J.-M. Ruysschaert and V. Raussens, Biochim. Biophys. Acta, 2013, 1828, 2328–2338 CrossRef CAS PubMed.
  27. K. Kjoller, J. R. Felts, D. Cook, C. B. Prater and W. P. King, Nanotechnology, 2010, 21, 185705 CrossRef CAS PubMed.
  28. A. Dazzi, F. Glotin and R. Carminati, J. Appl. Phys., 2010, 107, 124519 CrossRef PubMed.
  29. C. Marcott, M. Lo, K. Kjoller, Y. Domanov, G. Balooch and G. S. Luengo, Exp. Dermatol., 2013, 22, 419–421 CrossRef CAS PubMed.
  30. K. Ahn, C. Kerbage, T. P. Hunt, R. Westervelt, D. R. Link and D. Weitz, Appl. Phys. Lett., 2006, 88, 024104–024104 CrossRef PubMed.
  31. C. N. Baroud, M. R. de Saint Vincent and J.-P. Delville, Lab Chip, 2007, 7, 1029–1033 RSC.
  32. Y.-F. Yap, S.-H. Tan, N.-T. Nguyen, S. M. S. Murshed, T.-N. Wong and L. Yobas, J. Phys. D: Appl. Phys., 2009, 42, 065503 Search PubMed.
  33. T. Franke, A. R. Abate, D. A. Weitz and A. Wixforth, Lab Chip, 2009, 9, 2625–2627 RSC.
  34. K. Zhang, Q. Liang, S. Ma, X. Mu, P. Hu, Y. Wang and G. Luo, Lab Chip, 2009, 9, 2992–2999 RSC.
  35. U. Shimanovich, A. K. Buell, I. Efimov, T. O. Mason, A. Gedanken, C. M. Dobson, D. A. Weitz and T. P. J. Knowles, 2014, In preparation.
  36. J. McDonald and G. Whitesides, Acc. Chem. Res., 2002, 35, 491–499 CrossRef CAS PubMed.
  37. Image from the RCSB PDB (http://www.pdb.org) of PDB ID 2LYZ (Diamond, R. (1974) Real-space refinement of the structure of hen egg-white lysozyme J. Mol. Biol. 82: 371–391).
  38. J. L. Jiménez, G. Tennent, M. Pepys and H. R. Saibil, J. Mol. Biol., 2001, 311, 241–247 CrossRef PubMed.
  39. C. M. Dobson, Nature, 2003, 426, 884–890 CrossRef CAS PubMed.
  40. C. C. F. Blake, D. F. Koenig, G. A. Mair, A. C. T. North, D. C. Phillips and V. R. Sarma, Nature, 1965, 206, 757–761 CrossRef CAS.
  41. P. Sassi, A. Giugliarelli, M. Paolantoni, A. Morresi and G. Onori, Biophys. Chem., 2011, 158, 46–53 CrossRef CAS PubMed.
  42. G. Zandomeneghi, M. R. Krebs, M. G. McCammon and M. Fändrich, Protein Sci., 2004, 13, 3314–3321 CrossRef CAS PubMed.

Footnotes

Electronic supplementary information (ESI) available. See DOI: 10.1039/c3lc51219c
These authors contributed equally to this work.

This journal is © The Royal Society of Chemistry 2014