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Estimation of distance-distribution probabilities from pulsed electron paramagnetic resonance (EPR) data of two dipolar interaction coupled nitroxide spin labels using doubly rotating frames and least-squares fitting

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Abstract

A method, based on the doubly rotating frame (DRF) technique to calculate the basis DEER (Double Electron–Electron Resonance) signals [Physica B: Condensed Matter, 625, 413,511 (2022)] accurately by numerical techniques over a range of \(r\) values, where \(r\) is the distance between the two nitroxides in a biradical in a biological system, has been exploited to calculate the probabilities of distance distribution, \(P\left( r \right), \) by the use of Tikhonov regularization. It is demonstrated here by applying it to the data reported by Lovett et al. [J. Magn. Reson., 223, 98–106 (2012)] on a sample of bis-nitroxide nanowire, P1, in deuterated ortho-terphenyl solvent with 5% BnPy (d14-oTP/BnPy) in semi-rigid state. An improvement in the agreement of the calculated signal with respect to the experimental signal and thus in the probabilities of the distance distribution, \(P\left( r \right)\), so obtained, is found, as compared to that obtained using the kernel signals based on analytical expressions.

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Data Availability Statement

This manuscript has associated data in a data repository. [Authors’ comment: The source code is available from the corresponding author upon a reasoned request.]

References

  1. S.K. Misra and J.H. Freed (2011) Multifrequency electron paramagnetic resonance, ed. S. K. Misra, (Wiley, Germany, 2011), pp. 545–597

  2. J.E. Lovett, B.W. Lovett, J. Harmer, DEER-stitch: combining three-and four-pulse DEER measurements for high sensitivity, deadtime free data. J. Magn. Reson. 223, 98–106 (2012)

    Article  ADS  Google Scholar 

  3. A.G. Maryasov, Y.D. Tsvetkov, Formation of the pulsed electron-electron double resonance signal in the case of a finite amplitude of microwave fields. Appl. Magn. Reson. 18(4), 583–605 (2000)

    Article  Google Scholar 

  4. A.D. Milov, B.D. Naumov, Y.D. Tsvetkov, The effect of microwave pulse duration on the distance distribution function between spin labels obtained by PELDOR data analysis. Appl. Magn. Reson. 26(4), 587 (2004)

    Article  Google Scholar 

  5. A.D. Milov, K.M. Salikhov, M.D. Shirov, Application of the double resonance method to electron spin echo in a study of the spatial distribution of paramagnetic centers in solids. Sov. Phys. Solid State 23, 565–569 (1981)

    Google Scholar 

  6. A.D. Milov, A.B. Ponomarev, Yu.D. Tsvetkov, Electron-electron double resonance in electron spin echo: model biradical systems and the sensitized photolysis of decalin. Chem. Phys. Lett. 110, 67–72 (1984)

    Article  ADS  Google Scholar 

  7. R.G. Larsen, D.J. Singel, Double electron-electron resonance spin-echo modulation: spectroscopic measurement of electron spin pair separations in orientationally disordered solids. J. Chem. Phys. 98, 5134–5146 (1993)

    Article  ADS  Google Scholar 

  8. M.K. Bowman, A.G. Maryasov, N. Kim, V.J. DeRose, Visualization of distance distributions from pulse double electron-electron resonance data. Appl. Magn. Reson. 26, 23–39 (2004)

    Article  Google Scholar 

  9. R.A. Stein, A.H. Beth, E.J. Hustedt, A straightforward approach to the analysis of double electron-electron resonance data. Methods Enzymol. 563, 531–567 (2015)

    Article  Google Scholar 

  10. T.H. Edwards, S. Stoll, A Bayesian approach to quantifying uncertainty from experimental noise in DEER spectroscopy. J. Magn. Reson. 270, 87–97 (2016)

    Article  ADS  Google Scholar 

  11. S.K. Misra, P.P. Borbat, J.H. Freed, Calculation of double-quantum-coherence two-dimensional spectra: distance measurements and orientational correlations. Appl. Magn. Reson. 36, 237 (2009)

    Article  Google Scholar 

  12. S.A. Dzuba, The determination of pair-distance distribution by double electron– electron resonance: regularization by the length of distance discretization with Monte Carlo calculations. J. Magn. Reson. 269, 113–119 (2016)

    Article  ADS  Google Scholar 

  13. M. Srivastava, J.H. Freed, Singular value decomposition method to determine distance distributions in pulsed dipolar electron spin resonance. J. Phys. Chem. Lett. 8, 5648–5655 (2017)

    Article  Google Scholar 

  14. A.M. Raitsimring, K.M. Salikhov, Electron spin echo method as used to analyze the spatial distribution of paramagnetic centers. Bull. Magn. Reson. 7(4), 184–217 (1985)

    Google Scholar 

  15. K.M. Salikhov, S.A. Dzuba, A.M. Raitsimring, The theory of electron spin-echo signal decay resulting from dipole-dipole interactions between paramagnetic centers in solids. J. Magn. Reson 42(2), 255–276 (1981)

    ADS  Google Scholar 

  16. A.D. Milov, K.M. Salikhov, Y.D. Tsvetkov, Phase relaxation of hydrogen atoms stabilized in an amorphous matrix. Phys. Solid State 15(4), 802–806 (1973)

    Google Scholar 

  17. A.D. Milov, Y.D. Tsvetkov, F. Formaggio, M. Crisma, C. Toniolo, J. Raap, Self-assembling properties of membrane-modifying peptides studied by PELDOR and CW-ESR spectroscopies. J. Am. Chem. Soc 122(16), 3843–3848 (2000)

    Article  Google Scholar 

  18. A.D. Milov, Y.D. Tsvetkov, F. Formaggio, M. Crisma, C. Toniolo, J. Raap, The secondary structure of a membrane-modifying peptide in a supramolecular assembly studied by PELDOR and CW-ESR spectroscopies. J. Am. Chem. Soc 123(16), 3784–3789 (2001)

    Article  Google Scholar 

  19. A.D. Milov, Y.D. Tsvetkov, F. Formaggio, S. Oancea, C. Toniolo, J. Raap, Aggregation of spin labeled trichogin GA IV dimers: distance distribution between spin labels in frozen solutions by PELDOR data. J. Phys. Chem B 107(49), 13719–13727 (2003)

    Article  Google Scholar 

  20. A.D. Milov, Y.D. Tsvetkov, Double electron-electron resonance in electron spin echo: conformations of spin-labeled poly-4-vinilpyridine in glassy solutions. Appl. Magn. Reson 12(4), 495–504 (1997)

    Article  Google Scholar 

  21. Y.W. Chiang, P.P. Borbat, J.H. Freed, The determination of pair distance distributions by pulsed ESR using Tikhonov regularization. J. Magn. Reson. 172(2), 279–295 (2005)

    Article  ADS  Google Scholar 

  22. G. Jeschke, Distance measurements in the nanometer range by pulse EPR. Chem. Phys. Chem. 3, 927–932 (2002)

    Article  Google Scholar 

  23. A. Tikhonov, V. Glasko, Use of the regularization method in non-linear problems. U.S.S.R Comput. Math. Math. Phys. 5, 93–107 (1965)

    Article  Google Scholar 

  24. Y.W. Chiang, P.P. Borbat, J.H. Freed, Maximum entropy: a complement to Tikhonov regularization for determination of pair distance distributions by pulsed ESR. J. Magn. Reson. 177(2), 184–196 (2005)

    Article  ADS  Google Scholar 

  25. L.F. Ibáñez, G. Jeschke, General regularization framework for DEER spectroscopy. J. Magn. Reson. 300, 28–40 (2019)

    Article  ADS  Google Scholar 

  26. T.H. Edwards, S. Stoll, Optimal Tikhonov regularization for DEER spectroscopy. J. Magn. Reson. 288, 58–68 (2018)

    Article  ADS  Google Scholar 

  27. G. Jeschke, V. Chechik, P. Ionita, A. Godt, H. Zimmermann, J. Banham, C.R. Timmel, D. Hilger, H. Jung, DeerAnalysis2006—a comprehensive software package for analyzing pulsed ELDOR data. Appl. Magn. Reson. 30(3), 473–498 (2006)

    Article  Google Scholar 

  28. S.K. Misra, H.R. Salahi, Calculation of DEER spectrum by the use of doubly rotating frames: three-pulse and four-pulse nitroxide biradical DEER signals. Physica B Condens. Matter 625, 41351 (2022)

    Article  Google Scholar 

  29. S.K. Misra, H.R. Salahi, Simulation of four-, five-, and six-pulse double quantum coherence signals for nitroxide biradicals: distance measurement in biological systems. MRSej 23, 21101 (2021)

    Google Scholar 

  30. To this end, the cubic spline software in Matlab was used with the command \(s\ =spline\left(x,y,xq\right), \) which returns a vector of interpolated values corresponding to the query points in xq, where s is the interpolated signal at each point in time-domain range and xq are the dipolar coupling constants corresponding to the distances in the distance distribution curve. The values of s are determined by cubic-spline interpolation of x and y which are vectors with the values of the dipolar coupling constants corresponding to the green points on the distance distribution curve of Fig. 4a and the signal for those dipolar values at each point in the time-domain range, respectively. Use of cubic spline saves enormous computational time

  31. S.K. Misra, H.R. Salahi, Calculation of pulsed EPR DEER signal for two coupled Gd3+ ions by dipolar-interaction using rotating frames. Physica B Condens. Matter (2022) (In press)

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Acknowledgements

We are grateful to the Natural Sciences and Engineering Council of Canada for partial financial support. We acknowledge helpful discussions with Professor Freed, Director of ACERT Center at Cornell University. We are grateful to Dr. J. E. Lovett for providing us with the original experimental 3-pulse DEER data used in the analysis presented in this paper.

Funding

This article is supported by Natural Sciences and Engineering Research Council of Canada, A4485, Sushil K. Misra.

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Correspondence to Sushil K. Misra.

Appendices

Appendix A: Doubly rotating frame (DRF) technique to calculate DEER signal

In the DRF technique, there are used two rotating frames, one for all times at resonance with the observer spins characterized by the g-value, gobs, except for the duration of the pump pulse, which resonates with the pump spins at a different g-value, gpump, from that of the observer spins. At any instant, both, the observer and pump spins, are treated in the same rotating frame, implying that when the observer spins are precisely in their rotating frame, the pump spins see a rotating frame which is not coincident with their rotating frame and vice versa. In a theoretical treatment, the rotating frame for the pump spins can be treated by changing the intensity of the external magnetic field during the action of the pump pulse by an amount equivalent to the difference in the frequency of the pump pulse from that of the observer pulse. Specifically, a difference of 65 \(MHz\), in a typical experiment [2], is equivalent to a difference in the intensity of the external field by -\(65.0\left( {MHz} \right)/2.8\left( {MHz/G} \right){ } \approx\) -23.2 G.

In order to calculate the signal for a polycrystalline sample, one uses a \(\left( {\theta ,\phi } \right)\) grid over the unit sphere, keeping the rotating frame fixed for the observer spins for all orientations, except for those during the application of the pump pulse at a fixed value of g = gobs. It can be chosen for a fixed orientation, say for \(\theta = \phi = 0^{ \circ }\), for the choice of the Euler angles (\({\upalpha }_{1}\) = \(0^{ \circ }\), \({\upbeta }_{1}\), \({\upgamma }_{1}\)) for the observer spins appropriately. Then, the resulting coefficient \(C_{1}\) of the \(S_{{z_{1} }}\) term as calculated for the observer spins in the static spin Hamiltonian, Eq. (2.1), is, in general, not zero, implying that it is not coincident with its rotating frame at the applied field, \(B_{0}\), which requires that the Zeeman term is zero. However, by changing the reference of energy by subtracting both \(C_{2}\) and \(C_{1}\) by \(C_{1} , \) the coefficient of the \(S_{{z_{1} }}\) term is rendered zero. Then, the observer spins are precisely in their rotating frame. The pump spins with the orientations \(\left( {\theta ,\phi } \right) \) of their dipolar axes with respect to the external magnetic field distributed over the unit sphere will have their coefficients of the \(S_{{z_{2} }}\) terms in the static spin Hamiltonian, Eq. (2.1), changed to \(C_{2} {-}C_{1} { } \ne\) 0, so that these spins are not in their rotating frame, as expected. On the other hand, during the application of the pump pulse, the external magnetic field is changed so it is at resonance for the pump spins at g = gpump, or equivalently at the pump frequency, as listed in Table 1 One then keeps the same value of the coefficients for the observer spin,\( C_{1P}\) (= \(C_{{1P_{0} }} )\), i.e., that calculated for \(\theta = \phi = 0,\) for the external magnetic field intensity \( B_{0} - ~\Delta B \), for all \(\left( {\theta ,\phi } \right) {\text{values}}\) over the unit sphere. As for the pump spins, the coefficient of the \(S_{{z_{2} }}\) term, \(C_{2P}\), as calculated for the external magnetic field \(B_{0}\)\({\Delta }\) B, is, in general, not zero, so that they are not in their rotating frames. In order to change the reference frame to the rotating frame of the pump spins for the various \((\theta ,\phi\)) values over the unit sphere, the reference of energy is now changed by \(C_{2P}\), so that the coefficient of \(S_{{z_{2} }} \) is changed rom \(C_{2P}\) to \(C_{2P} - C_{2P} = 0\), so that the pump spins are precisely in their rotating frame, whereas the coefficient of \(S_{{z_{1} }}\) for the observer spins is changed from \(C_{1P} \left( { = C_{{1P_{0} }} } \right)\) to \(C_{1P} - C_{2P} \left( { = C_{{1P_{0} }} - C_{2P} } \right)\), so that the observer spins are not precisely in their rotating frame.

Table 1 The values of the parameters used in the simulations of the DEER signals of the coupled nitroxide biradical, for the data of Lovett et al. [2]

Appendix B: Flowchart for the calculation of three-pulse DEER signal.

figure b

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Misra, S.K., Salahi, H.R. Estimation of distance-distribution probabilities from pulsed electron paramagnetic resonance (EPR) data of two dipolar interaction coupled nitroxide spin labels using doubly rotating frames and least-squares fitting. Eur. Phys. J. D 76, 89 (2022). https://doi.org/10.1140/epjd/s10053-022-00403-9

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