Fiveable

โ˜€๏ธPhotochemistry Unit 3 Review

QR code for Photochemistry practice questions

3.2 Selection rules and transition probabilities

โ˜€๏ธPhotochemistry
Unit 3 Review

3.2 Selection rules and transition probabilities

Written by the Fiveable Content Team โ€ข Last updated September 2025
Written by the Fiveable Content Team โ€ข Last updated September 2025
โ˜€๏ธPhotochemistry
Unit & Topic Study Guides

Electronic transitions in molecules follow specific rules that determine their likelihood and intensity. These selection rules, based on quantum mechanical principles, govern which transitions are allowed and which are forbidden.

Calculating transition dipole moments helps quantify the probability of electronic transitions. Factors like symmetry, orbital overlap, and environmental conditions all play crucial roles in determining the intensity of spectral bands observed in molecular spectroscopy.

Electronic Transitions: Selection Rules and Probabilities

Selection rules for electronic transitions

  • Spin selection rule governs total spin quantum number conservation $\Delta S = 0$ prohibits transitions between states with different spin multiplicities (singlet to triplet)
  • Symmetry selection rule requires change in parity and non-zero transition dipole moment ensures allowed transitions (ฯ€ โ†’ ฯ€)
  • Orbital angular momentum selection rule dictates $\Delta L = \pm 1$ change in orbital angular momentum quantum number (s โ†’ p transition)
  • Total angular momentum selection rule allows $\Delta J = 0, \pm 1$ except $J = 0$ to $J = 0$ forbidden (atomic spectral lines)

Calculation of transition dipole moments

  • Transition dipole moment $\mu_{if} = \int \psi_f^ \hat{\mu} \psi_i d\tau$ quantifies charge redistribution during transition using initial and final state wavefunctions (HOMO-LUMO transition)
  • Transition probability proportional to squared transition dipole moment $P_{if} \propto |\mu_{if}|^2$ determines likelihood of transition occurrence (allowed vs forbidden)
  • Oscillator strength $f = \frac{4\pi m_e \nu}{3e^2\hbar} |\mu_{if}|^2$ relates transition probability to classical oscillator measures transition strength (weak to strong absorptions)
  • Franck-Condon factor accounts for vibrational wavefunction overlap affects transition probability and intensity (vibronic structure in spectra)

Laporte rule in centrosymmetric molecules

  • Laporte selection rule applies to centrosymmetric molecules forbids transitions between same parity states allows g โ†’ u or u โ†’ g transitions (octahedral complexes)
  • Implications for centrosymmetric molecules
    • d-d transitions in octahedral complexes Laporte-forbidden results in weak absorptions
    • Vibronic coupling relaxes rule leads to weak d-d transitions (color in transition metal complexes)
    • Parity-allowed transitions more intense (charge transfer bands)
  • Symmetry-breaking mechanisms
    • Vibrational coupling distorts molecular geometry temporarily
    • Crystal field distortions remove inversion center (Jahn-Teller effect)
    • Spin-orbit coupling mixes states of different parity (heavy atom effect)

Factors affecting transition intensity

  • Transition dipole moment magnitude larger values lead to more intense transitions (strong UV-vis absorptions)
  • Selection rule compliance transitions obeying all rules typically more intense (allowed vs forbidden transitions)
  • Orbital overlap greater overlap between initial and final state orbitals increases intensity (ฯ€ โ†’ ฯ€* vs n โ†’ ฯ€* transitions)
  • Oscillator strength higher values correlate with more intense transitions (strong vs weak absorbers)
  • Environmental factors
    • Solvent effects alter molecular geometry and energy levels (solvatochromism)
    • Temperature-dependent population of initial states affects apparent intensity (hot bands)
  • Concentration higher absorbing species concentration increases apparent intensity (Beer-Lambert law)
  • Instrumental factors
    • Spectral bandwidth affects peak resolution (narrow vs broad bands)
    • Detector sensitivity influences signal-to-noise ratio (detection limits)
    • Light source intensity impacts overall spectrum intensity (lamp power)