Curved-arrow notation shows where an electron pair starts and where it moves during a reaction. Arrows commonly begin at an electron-rich site, such as a lone pair or pi bond, and point toward an electron-deficient atom. Tracking these movements reveals which existing bonds can break, which new bonds can form, and how the proposed mechanism produces the observed molecular structure.
The same electron-pair movements support different reaction patterns. Substitution replaces one part of a molecule, addition forms new connections across a structure, and elimination removes components while creating a different bonding arrangement. Rearrangement reactions redistribute connectivity within the molecule. Identifying the pattern helps chemists connect a sequence of electron movements with the reaction class and expected product.
Electron-rich sites provide electron pairs that can participate in bond formation, whereas electron-deficient atoms can accept that electron density. The relative stability of intermediates influences which mechanistic pathway is plausible and helps explain why some products form more readily than others. Examining these features allows chemists to relate microscopic electron movements to product formation and reaction outcomes.
First, identify lone pairs, pi bonds, and electron-deficient atoms in the reacting structures. Next, use curved arrows to propose electron-pair movements, while marking bonds that break and bonds that form. Finally, inspect the resulting structure and compare it with the reaction pattern and expected product. This workflow helps organize a mechanism and expose inconsistent bonding changes.
A proposed electron-rearrangement pathway offers a way to connect an experimental product with the molecular changes that produced it. By comparing predicted bond changes, intermediate structures, and final connectivity with the observed result, chemists can evaluate whether a mechanism is plausible. The analysis can also help identify alternative pathways when the experimental product differs from an initial prediction.
Understanding these electron movements helps chemists predict reaction pathways and design syntheses that produce targeted molecular structures. That capability supports the preparation of pharmaceuticals, materials, and other molecular products. Within chemistry, the approach links mechanistic reasoning to practical planning: proposed bond changes can be examined before a synthesis is carried out, improving interpretation and reaction design.