Biophysical Spectroscopy Atlas

A field atlas for doctoral students in biophysics

Biophysical Spectroscopy Atlas

Thirty-two techniques arranged by the physical process they exploit, each with its governing equations, what it reveals about biomolecules, and where it stops working. Select any technique, on the map or on the spectrum, to open its full card. Four live calculators and a question-to-method guide close the page.

  1. Level 1Physical processabsorption, emission, scattering, resonance, time-resolved and nonlinear
  2. Level 2Transition or observableelectronic, vibrational, spin, polarization, correlation
  3. Level 3TechniqueCD, FTIR, FRET, NMR, DEER, SAXS and others
  4. Level 4Variants and methodspulse sequences, labels, geometries and analysis inside each card

The hierarchy · levels 1 to 3 shown here, level 4 inside each card

Six process families, twenty-two observables, thirty-two techniques

The first split is physical: what happens to the photon (or particle) at the sample. The second split is what transition or observable is read out. Cross-links in each card connect techniques that share a transition, such as IR and Raman for vibrations.

32 techniques

Energy axis

Where each technique sits on the electromagnetic spectrum

Bars mark the energy of the transition being probed, not necessarily the photon used. Raman is plotted at vibrational energies although it uses visible lasers; neutron spectroscopy is plotted at its energy transfers. Mass, surface and force methods without a spectral axis are omitted.

Logarithmic wavelength axis, 1 pm to 1 km. Region boundaries are conventional and approximate. Energy conversion: E[eV] = 1239.84 / λ[nm]. Select a bar to open the technique.

Shared physics

Twelve results every technique rests on

Each technique card assumes these. They explain why selection rules exist, why NMR is insensitive, why fluorescence is fast and phosphorescence slow, and why so many methods end up measuring a correlation function.

Energy & units

Photon energy

\[E = h\nu = \frac{hc}{\lambda} = hc\,\tilde\nu\]

1 eV = 8065.5 cm⁻¹ = 241.8 THz = 96.49 kJ mol⁻¹. Thermal energy at 298 K: kBT = 207 cm⁻¹ = 2.48 kJ mol⁻¹ = 25.7 meV. Transitions far above kBT start from the ground state; those below it are thermally populated.

Transition rates

Fermi's golden rule

\[w_{i\to f} = \frac{2\pi}{\hbar}\,\bigl|\langle f|\hat H'|i\rangle\bigr|^2\,\rho(E_f)\]

For electric-dipole coupling Ĥ′ = −μ̂·E(t). Every absorption, emission and scattering rate descends from this: squared coupling matrix element times density of final states.

Intensity & polarization

Transition dipole and selection rules

\[\boldsymbol\mu_{fi} = \langle\psi_f|\hat{\boldsymbol\mu}|\psi_i\rangle,\qquad P\propto|\mathbf E\cdot\boldsymbol\mu_{fi}|^2\propto\cos^2\theta\]

Electronic: Δl = ±1, ΔS = 0. Vibrational: Δv = ±1 with ∂μ/∂Q ≠ 0 (IR) or ∂α/∂Q ≠ 0 (Raman); mutual exclusion in centrosymmetric molecules. Spin: ΔmI = ±1 (NMR), ΔmS = ±1 (EPR). The cos²θ law underlies LD, anisotropy and κ².

Absorption ↔ emission

Einstein coefficients and oscillator strength

\[A_{21} = \frac{8\pi h\nu^3}{c^3}\,B_{21},\qquad f\approx 4.32\times10^{-9}\!\int\!\varepsilon(\tilde\nu)\,d\tilde\nu\]

Spontaneous emission scales with ν³: radiative decay dominates in the UV–visible (ns) but is negligible for spin transitions, where relaxation takes over. f is dimensionless (ε in M⁻¹cm⁻¹, ν̃ in cm⁻¹); strong allowed bands have f ≈ 0.1–1.

Quantitation

Beer–Lambert law

\[A=\log_{10}\frac{I_0}{I}=\varepsilon\,c\,l,\qquad \sigma\approx3.82\times10^{-21}\,\varepsilon\ \ \mathrm{cm^2}\]

Linear for dilute, non-scattering, non-interacting absorbers. Curvature flags aggregation, stray light, scattering or saturation. σ is the molecular absorption cross-section.

Line shapes

Homogeneous and inhomogeneous broadening

\[L(\nu)=\frac{1}{\pi}\frac{\Gamma/2}{(\nu-\nu_0)^2+(\Gamma/2)^2},\quad \Gamma=\frac{1}{\pi T_2}\]
\[G(\nu)=\frac{1}{\sigma\sqrt{2\pi}}\,e^{-(\nu-\nu_0)^2/2\sigma^2},\quad \mathrm{FWHM}=2\sqrt{2\ln2}\,\sigma\]

Dephasing and lifetime give Lorentzians (Δν = 1/2πτ: a 1 ns lifetime gives only 0.005 cm⁻¹). A static spread of environments gives Gaussians. Real bands are Voigt convolutions; 2D spectroscopy and hole burning separate the two.

Vibronic structure

Franck–Condon principle

\[I_{0\to n}\propto\bigl|\langle\chi'_n|\chi''_0\rangle\bigr|^2 = e^{-S}\frac{S^n}{n!}\]

Nuclei are frozen during an electronic transition. The Huang–Rhys factor S sets the vibronic progression; the Stokes shift ≈ 2Sħω is twice the reorganization energy (Marcus λ). Explains the absorption–emission mirror image.

Sensitivity

Boltzmann populations

\[\frac{N_\text{upper}}{N_\text{lower}}=e^{-\Delta E/k_BT},\qquad P\approx\frac{\Delta E}{2k_BT}\]

Net polarization P at 298 K: ¹H at 600 MHz ≈ 5×10⁻⁵; electrons at 9.5 GHz ≈ 8×10⁻⁴; electronic transitions ≈ 1. This is why NMR needs mM samples, EPR µM, and fluorescence pM. Hyperpolarization (DNP) breaks the limit.

Causality

Kramers–Kronig relations

\[\chi'(\omega)=\frac{2}{\pi}\,\mathcal{P}\!\!\int_0^\infty\!\frac{\omega'\,\chi''(\omega')}{\omega'^2-\omega^2}\,d\omega'\]

Absorption (χ″) and dispersion (χ′, refractive index) are two faces of one response. CD ↔ ORD, absorption ↔ refractive-index shifts in SPR, absorptive ↔ dispersive NMR phases.

Relaxation

Bloch equations

\[\frac{d\mathbf M}{dt}=\gamma\,\mathbf M\times\mathbf B-\frac{M_x\hat{\mathbf x}+M_y\hat{\mathbf y}}{T_2}-\frac{(M_z-M_0)\,\hat{\mathbf z}}{T_1}\]

T₁ restores populations; T₂ destroys coherence, with 1/T₂ = 1/2T₁ + 1/T₂′. The optical Bloch equations have the same form for two-level electronic systems, which is why pulse NMR, pulse EPR and nonlinear optics share one vocabulary.

Measurement

Fourier-transform spectroscopy

\[S(\omega)=\int_{-\infty}^{\infty}s(t)\,e^{-i\omega t}\,dt,\qquad \Delta\tilde\nu\approx\frac{1}{L_\mathrm{OPD}}\]

Record a time-domain signal (NMR free induction decay, FTIR interferogram, pulse-EPR echo, 2D coherence times) and transform. Gains: multiplex (Fellgett) and throughput (Jacquinot). Resolution is set by acquisition length.

Unifying idea

Spectra are Fourier transforms of correlation functions

\[I(\omega)\propto\int_{-\infty}^{\infty}\langle\boldsymbol\mu(0)\cdot\boldsymbol\mu(t)\rangle\,e^{-i\omega t}\,dt\]

Line shapes come from dipole correlations, NMR relaxation from spectral densities J(ω), and DLS, FCS and anisotropy decays measure correlation functions directly. Fluctuation–dissipation links them all to equilibrium dynamics.

Time axis

Which technique sees which motion

Grey bars are biomolecular processes; coloured bars are the time windows techniques resolve directly. A technique can report on faster motions only as averages, and on slower ones only as static snapshots or by triggering.

Logarithmic time axis, 1 fs to about 3 h. Windows are typical, not hard limits. Select a coloured bar to open the technique.

Live calculators

Four numbers you will compute again and again

Everything here runs in your browser. Defaults are realistic examples; change them to match your system.

Units

Energy and wavelength converter

FRET ruler

Efficiency versus distance

E = 1/(1 + (r/R₀)⁶), with R₀ ∝ (κ²)1/6. Dashed curve: isotropic κ² = 2/3. The shaded band 0.5–1.5 R₀ is where E changes measurably.

Line shapes

Lorentzian, Gaussian and Voigt

Curves are area-normalized; the Voigt profile is their numerical convolution. Homogeneous dephasing time T₂ = 1/(πcΓL).

Hydrodynamics

From molar mass to diffusion and tumbling

Rigid hydrated sphere: V = M(v̄ + δ)/NA with v̄ = 0.73 mL g⁻¹. D = kBT/6πηRh; θ = τc = ηV/kBT (Stokes–Einstein–Debye). FCS assumes w₀ = 0.25 µm; DLS assumes 633 nm, 90°, n = 1.33. Elongated or disordered proteins diffuse and tumble more slowly.

Question first

Which method answers my question?

Start from the biological question, then pick a first-choice technique and at least one orthogonal check. Agreement between methods based on different physics is the strongest evidence you can offer a reviewer.

QuestionFirst choiceOrthogonal checkWhat you get

Going deeper

Standard references