Jörg
Gutschank
*a,
Dieter
Suter
a and
Birgit
Enkisch
b
aUniversität Dortmund, Fachbereich Physik, 44221 Dortmund, Germany
bCarl Zeiss, Semiconductor Manufacturing Technologies AG, 73446 Oberkochen, Germany
First published on 11th December 2003
The electronic structure of metalloproteins can be analysed with optically detected electron paramagnetic resonance (ODEPR). This relatively young technique combines electron paramagnetic resonance (EPR) and magnetic circular dichroism (MCD) with a coherent Raman scattering experiment. It can complement conventional EPR and MCD in the deconvolution and assignment of optical transitions. Information about the relative orientation of optical and magnetic transition dipoles in metalloproteins can be extracted with considerably higher resolution than by alternative techniques such as MCD. We discuss how these features provide information about the environment of metal ions in metalloproteins.
Among the spectroscopic techniques used to probe the electronic structure of paramagnetic metal ions, electron paramagnetic resonance (EPR) provides very specific information and has therefore been used extensively to probe the active centre of metalloproteins.1 In the experiments that we discuss here, the EPR signal is detected via a laser beam, rather than the absorption of the microwave field. We discuss here the basics of the experiment and the information content of ODEPR spectra and show some examples of metalloproteins where the analysis of ODEPR spectra has improved our understanding of their geometrical and electronic structure.
In magnetic resonance experiments light can be used to enhance the polarisation, to influence the dynamics of the spin system and, as in the experiment described here, to improve the detection. In suitable systems, optical detection provides a number of advantages: first, optical radiation introduces an additional resonance condition, which can be used to distinguish different signal components and thereby separate the target signal from backgrounds such as impurities. Second, optical radiation can be detected with single photon sensitivity (in contrast to microwave radiation). This has made detection of single spins possible in suitable systems. A third possible use of the optical radiation is that the laser beam breaks the symmetry of isotropic samples, such as powders or frozen solutions. As we discuss in Section 5, this allows one to derive the orientation of tensorial interactions, such as electron g-tensors or optical anisotropy tensors from non-oriented samples.
Many different methods have been developed to exploit the advantages of optical detection for magnetic resonance.2 In particular, magnetic resonance of electronically excited states3 usually requires optical excitation of the sample to populate the excited states. Other techniques measure changes in the magnetic circular dichroism (MCD)4 or other magneto-optical effects while sweeping through an EPR. The coherent ODEPR technique was first suggested by Dehmelt5 and used on alkali vapours.6 Bloembergen and co-workers suggested an extension to solids,7 which was implemented by Bingham et al. for ruby.8 The first biological system on which ODEPR was used for measurement was cytochrome c.9
Unpaired electrons in transition metal ions possess a magnetic moment
![]() | (1) |
Application of a magnetic field 0 exerts a torque
![]() | (2) |
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Fig. 1 The magnetisation M of a paramagnetic sample in a static magnetic field B0 is precessing. It is kept in continuous precession at a fixed angle to B0 by a microwave field B1 oscillating at the Larmor frequency. EPR measures the amplitude of the component Mt transverse to the static field. |
In an EPR experiment the frequency of the microwave radiation ωMW is kept constant, while the strength of the magnetic field B0 is slowly varied, in order to find the field, where the EPR resonance condition
ħωMW = g µBB0 | (3) |
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Fig. 2 Transverse magnetisation as a function of magnetic field B0. Depending on the detection phase relative to the excitation microwave field B1, the signal shows an absorption (broken line) or dispersion (continuous line). Conventional EPR spectrometers usually detect the derivatives of these signals. |
The environment of the electron also includes nuclear spins, which couple to the electron via hyperfine interaction. These couplings split or broaden the EPR lines and are quantified by the hyperfine coupling constant A. Both these dependencies on the environment of the paramagnetic site make EPR spectroscopy a versatile tool for the determination of electronic as well as spatial structure.
A widely used application is the introduction of spin-labels11 to systems which do not show EPR by themselves. g-values as well as hyperfine coupling constants are sensitive to the orientation of the label relative to the field. Further, hyperfine coupling can give information about the mobility of the spin-label and thus about the dynamics of the system.
Also in inorganic biochemistry EPR is extensively used not only to detect specific metal ions (e.g., 1 µM Fe3+ in solution at room temperature), but also for its sensitivity to the surroundings of the ion.12 EPR can, for instance, distinguish between 3 different types of copper centres, and some proteins contain all of them. Clarification of such a complex situation by EPR and optical spectroscopy was a milestone in inorganic biochemistry.12 The redox states of iron Fe2+ and Fe3+ both exist in high- and low-spin states, which can clearly be distinguished by EPR, and the g-value gives further information on the surrounding ligands. Consequently EPR was often used to study haems and iron–sulfur clusters. Many other transition metal ions in proteins and enzymes are also investigated by EPR. Sometimes also organic residues in the neighbourhood of metal centres give an EPR signal, like the stable tyrosyl radical.
Variants of EPR, like electron nuclear double resonance and electron spin echo envelope modulation13 make the identification of hyperfine interaction with the ligands (superhyperfine interaction) easier and are also often used for the investigation of paramagnetic centres and their surroundings.
MCD theory14–17 distinguishes three terms, A, B, C, contributing to the spectrum. In paramagnetic samples like metalloproteins at low temperature the strongly temperature dependent C term usually dominates the other two. Fig. 3 illustrates the principle for an idealized spin-1/2 system: the static magnetic field in the direction of a beam of circularly polarised light lifts the degeneracy of the two opposite spin states and a population difference between them is established according to Boltzman's law. Circularly polarized light couples to only one of the two spin states, as indicated by the arrows in Fig. 3. The thermal population difference therefore implies that the polarization that couples to the lower energy state is absorbed more strongly than the opposite polarization.
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Fig. 3 C-term MCD. Optical excitation with two opposite circular polarisations from the electronic ground state |g> to the excited state |e> of a paramagnetic sample in a magnetic field. One polarisation finds more elctrons of the respective spin than the other. |
Circular dichroism can be induced not only by magnetic fields, but also by other effects that generate a net spin polarization, such as optical pumping18 or by transverse magnetization excited by microwave irradiation, as we describe in the following section.
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Fig. 4 The metalloprotein is irradiated with laser light and microwaves. The mixed frequency signal is detected by a fast photodiode. The output of the detector is a microwave signal. |
The resulting signal depends on the optical frequency or wavelength λ as well as on the microwave frequency or the magnetic field B0 (see Fig. 5). The signal is at a maximum when both resonance conditions are fulfilled and it decreases when either excitation becomes off-resonant.
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Fig. 5 The double resonant ODEPR signal depends on the laser as well as the microwave frequency. The result is a complete microwave resonance spectrum for each laser wavelength. The 2 dimensional projections on the axes are cuts through the main resonance at the peaks of the optical and the microwave transitions, respectively. (The figure was calculated from an ODEPR absorption of an axial system.) |
Two complementary theoretical models exist for analysing the microscopic processes underlying this experiment, either as a modulation of the transmitted laser intensity by the precessing magnetisation or as a coherent Raman scattering process.
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Fig. 6 Continuous wave excitation of EPR creates a component of magnetisation Mt transverse to the static magnetic field B0 (perpendicular to the plane of drawing). The MCD of Mt is probed with circularly polarised photons with an angular momentum of ħ. |
We consider again an EPR transition of a paramagnetic sample in a magnetic field driven by a microwave field, while a laser field is applied in resonance with an optical transition. Fig. 7 shows the three quantum mechanical states that are involved in the process. The microwave field interacts with the transition between levels |1> and |2>, while the optical field excites the transition between |1> and |3>. The combination of the two fields creates a coherent superposition of states |2> and |3>. (This means that the quantum mechanical wave function is a linear combination of the two separate wave functions.) Physically, the coherence in an optical transition like |2> ↔ |3> represents the source of an optical field. This additional field propagates parallel to the incident laser field; its frequency is equal to the sum or difference of the laser and microwave frequencies. The process is known as coherent Raman scattering.20
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Fig. 7 Coherent Raman scattering from a 3 level system. Laser excitation creates a coherence between levels |1> and |3> and microwaves between |1> and |2>. The resulting non-linear polarisation creates a Raman wave. |
Since the two optical fields propagate in the same direction, they are superimposed on the detector and create a beat signal at the difference frequency, which is equal to the frequency of the microwave field applied to the sample.
The paramagnetic metalloprotein glass is placed in a cylindrical cuvette of 0.5 mm inner length and 3 mm inner diameter. The cuvette is mounted inside a microwave cavity with its microwave magnetic field B1 parallel to the direction of propagation of the laser beam. The cavity is located inside a helium bath cryostat and has two openings for transmitting the laser beam. The ‘static’ (slowly swept) magnetic field B0 of the superconducting split coil magnet is perpendicular to the propagation of the light and thus also to the microwave field B1. The modulated light signal (or local oscillator and Raman side-band) is detected with a fast photodiode which is connected to the microwave receiver setup.
In the experiment the magnetic field B0 is slowly swept over the resonance while the sample is irradiated with microwaves and laser light. The light after the sample carries the ODEPR signal, which is extracted in the heterodyne receiver. Details of this heterodyne receiver, which converts the optical signal to the ODEPR spectrum, have been discussed elsewhere.21
Finally, the signal is displayed versus magnetic field. After a proper calibration of the instrument,21 the signal amplitude can be represented as the difference in absorbance ΔA or extinction coefficient Δε between opposite circular polarisations.9
Besides the chemical selectivity, the double resonance technique also provides the possibility of obtaining information about the orientation of the g-tensor in the molecule. The principle of this is illustrated in Fig. 8. The line shape of the ODEPR spectrum (Fig. 8 (c), (d)) differs significantly from that of the conventional EPR spectrum (Fig. 8 (e)). The difference arises from an orientational selectivity: The contribution of every molecule to the total signal is weighted with its MCD sensitivity for the direction of propagation of the laser beam. If a given molecule has the highest MCD sensitivity along the molecular z-axis (Fig. 8 (a), (b)), the main signal contribution (Fig. 8 (c)) arises from molecules whose z-axis is oriented perpendicular to the static magnetic field. For these molecules, the resonant magnetic field is determined by their gx and gy values. The signal intensity is then reduced around the gz position of the spectrum, since the laser beam hardly sees MCD intensity for molecules with gz along B0 (Fig. 8(a)). This is in contrast to conventional EPR, where MCD sensitivity does not come into play (Fig. 8(e)).
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Fig. 8 ODEPR lineshapes contain orientational information. Cz represents MCD sensitivity in molecular z-direction and the shaded disk represents the plane of the axially symmetrical molecule. (a) Molecules with MCD sensitivity only along their z-axis do not contribute, when the z-axis is perpendicular to the laser beam. (b) They contribute strongly when the z-axis is parallel to the laser beam. (c) Calculated ODEPR absorption (continuous line) and dispersion (broken line) of an axially symmetrical molecule with MCD sensitivity along its z-axis only. (d) Calculated ODEPR when the MCD sensitivity is only perpendicular to the z-axis. (e) Calculated conventional EPR absorption. |
The spectra can be calculated quantitatively by a theory that combines EPR (to calculate spectral positions) and MCD (to calculate the amplitude). We discuss here only the case of an axially symmetrical system, where the difference of the extinction coefficients Δεx (x indicating transverse to B0) for circularly polarised light is22–24
![]() | (4) |
To obtain the g and C values and the orientation from the experimental spectrum, we fitted the conventional as well as the optically detected EPR spectrum with the same parameter set. For the additional analysis, it is convenient to calculate the ratio
A comparison of ODEPR spectra measured at different optical wavelengths shows strong variations of the amplitude and lineshapes of the spectra. This variation arises because the optical anisotropy tensor C is a characteristic property of each optical transition. As the laser interacts with different transitions, the optical anisotropy changes and, according to eqn. 4, also the ODEPR spectrum.
To obtain the anisotropy parameters for each optical transition, we first evaluate the orientation γ as a function of the optical frequency v. We then fitted this angle together with the measured MCD Δεz (z indicating parallel to B0) to a sum of contributions i from each optical transition at position pi with width wi
![]() | (5) |
![]() | (6) |
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Fig. 9 (a) Simulation of conventional EPR absorption (continuous line) and dispersion (broken line). (b)–(d) Dispersion type ODEPR spectra of azurin at different optical wavelengths in units of Δε 10−3 M−1 cm−1 (broken line) and fit curves (continuous line).24 |
The corresponding ODEPR spectra (see Fig. 9) are dispersion phase spectra, since the absorption (i.e., in phase) component of the ODEPR signal is strongly saturated under the experimental parameters typically used in these experiments (T = 1.8 K, microwave power = 100 mW). This behaviour is exactly analogous to conventional EPR, where the absorption phase of inhomogeneously broadened lines saturates much faster than the dispersion component.25
A comparison of the ODEPR spectra in Fig. 9 shows that the lineshape varies significantly with the laser wavelength. This variation indicates that different optical transitions are involved, and that the optical anisotropy coefficients are different for these transitions. Fitting the ODEPR spectra with eqn. 4, the orientation angle can be determined for each wavelength. Over a large wavelength range, the angle is close to γ
=
π, indicating that the optical anisotropy reaches a maximum for light propagating parallel to the z-axis of the g-tensor (i.e., molecular symmetry axis) and that the MCD is negative. Close to 800 nm, the MCD becomes positive (γ
≈ 2π), and in the region close to 520 nm the angle reaches γ
=
π/2.
This variation is a strong indication of an underlying band structure. To determine this band structure, we fitted the data, together with the MCD spectrum, as discussed in Section 5, using eqn. 6 to obtain the parameters for the different optical transitions. The resulting fit, shown in Figs. 10 and 11, shows that the MCD as well as the ODEPR data can be fitted quite well with a common set of parameters. The six optical transitions determined from this fit can be associated with three ligand field and three charge transfer transitions of azurin (for a detailed discussion see ref. 24). Since the orientation of the g-matrix within the molecule was known from the work of Penfield,26 the results could be related to an absolute, molecule fixed coordinate system, which was chosen with its z-axis close to the copper to methionine direction and its x-axis along the copper to cysteine direction of azurin. The resulting transitions and their polarisations are summarised in Table 1.
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Fig. 10 Variation of the orientational angle γ with the laser wavelength. Filled squares represent experimental data, the continuous line the theory. The inset shows the definition of the orientational angle γ in the molecular coordinate system. |
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Fig. 11 MCD spectrum of azurin (continuous line) and its decomposition in six Gaussian bands (dotted lines). |
Band | Energy/cm−1 | Transition | Main polarisation | γ |
---|---|---|---|---|
1 | 10![]() |
Ligand field ![]() |
−Cz | 1.03π ± 0.01π |
2 | 12![]() |
Ligand field dxz to dxy | +Cz | 1.95π ± 0.01π |
3 | 13![]() |
Ligand field dyz to dxy | −Cz | 1.05π ± 0.02π |
4 | 15![]() |
Charge transfer sulfur cysteine π to dxy | −Cz | 1.02π ± 0.01π |
5 | 19![]() |
Charge transfer dxy to pseudo-σ | +C⊥ and +Cz | 0.25π ± 0.11π |
6 | 21![]() |
Charge transfer nitrogen histidine to dxy | −Cz | 1.07π ± 0.02π |
The example of ODEPR on azurin demonstrates the power of the method in extracting orientational information from an unoriented metalloprotein, in which the polarisations of the optical transitions were unknown before. Especially in a blue copper protein with small g-value anisotropy, such an assignment is hardly feasible with conventional methods such as MCD.27
From the rotating MCD model explained in Section 3B, we expect proportionality of the ODEPR signal to MCD, as well as to EPR. The proportionality to MCD was experimentally demonstrated on Pseudomonas aeruginosa cytochrome c551 by comparing MCD and ODEPR data of the same sample.9 Since ODEPR measures the transverse magnetisation Mxy, rather than the longitudinal magnetisation Mz, the proportionality factor between ODEPR and MCD was estimated from , where ωRabi is the Rabi frequency and T2 is the phase memory time. This relation follows from the description of EPR with the Bloch equations.
The ODEPR lineshapes can be calculated quantitatively with the rotating MCD model discussed above.23 Since the cytochrome system is not axially symmetric, the absorption of this system is not determined by eqn. 4 above, but by the more general expression eqn. 15 from Bingham et al..23 Further, the spectral lineshape indicated a distribution of g-values, which reflects the distribution of molecular conformations in the glass. The ODEPR dispersion spectrum of this sample, measured at a wavelength of 588 nm, can be fitted well with MCD sensitivity solely along the z-axis of the molecule, i.e., perpendicular to the haem plane. This means that the electrons involved in the electric dipole transition move in the haem plane.
The EPR spectrum of rubredoxin (conventional and ODEPR) can be explained with a zero field splitting of D = +46.3 GHz and a strong rhombic distortion of E/D = 0.25, where E is the axial and D the rhombic coefficient. The spectra showed significant deviations from the ideal spectrum expected for these parameters, which can be explained as E/D strain, i.e., a statistical distribution around the mean value of 0.25. This result indicates that the protein conformation is quite variable even in the frozen solution.
The strong variation of the ODEPR lineshape with the optical excitation wavelength allowed us to identify four optical transitions in the wavelength range covered by our measurements. As in the low-spin cases, we used a simultaneous fit of the ODEPR and MCD spectra with a single parameter set. Fig. 12 shows the MCD of rubredoxin and its decomposition into the four relevant optical transitions. These results are in agreement with earlier MCD measurements by Oganesyan et al.29
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Fig. 12 MCD spectrum (solid line, left hand scale) of Rubredoxin with the four bands (dotted lines). The ratio of Cxy/Cy from ODEPR is indicated with dots (right hand scale). The inset shows the active site of rubredoxin, with the iron centre and the 4 sulfurs around (the pseudo-S4-axis is perpendicular to the plane of drawing).28 |
Even though optical and EPR experiments had already provided most of the relevant parameters in rubredoxin, details like the orientation of the optical and magnetic tensors had remained elusive. With the combination of ODEPR and conventional EPR it was possible to find the positive sign of the zero field Hamiltonian. Further, the orientation of the g-tensor could be identified and the orientation of the optical symmetry axis was found to be along the direction of largest g-value (perpendicular to the plane of the drawing, inset in Fig. 12).
We have developed two complementary theoretical models to describe the underlying microscopic processes. The rotating MCD theory is well developed for low spin systems and can also be used for well separated Kramers doublets in high spin systems. For more exotic cases a theory in the coherent Raman picture is available. So far, the coherent Raman theory has been quantitatively compared to experimental data only for a ruby crystal, rather than metalloproteins.
We hope to introduce the method to a broader audience concerned with the investigation of the environment of metal centres in biology.
This journal is © The Royal Society of Chemistry 2004 |