Predicting wavelength-dependent photochemical reactivity and selectivity

Predicting the conversion and selectivity of a photochemical experiment is a conceptually different challenge compared to thermally induced reactivity. Photochemical transformations do not currently have the same level of generalized analytical treatment due to the nature of light interaction with a photoreactive substrate. Herein, we bridge this critical gap by introducing a framework for the quantitative prediction of the time-dependent progress of photoreactions via common LEDs. A wavelength and concentration dependent reaction quantum yield map of a model photoligation, i.e., the reaction of thioether o-methylbenzaldehydes via o-quinodimethanes with N-ethylmaleimide, is initially determined with a tunable laser system. Combined with experimental parameters, the data are employed to predict LED-light induced conversion through a wavelength-resolved numerical simulation. The model is validated with experiments at varied wavelengths. Importantly, a second algorithm allows the assessment of competing photoreactions and enables the facile design of lambda -orthogonal ligation systems based on substituted o-methylbenzaldehydes. Predicting the conversion and selectivity of a photochemical reactions is challenging. Here, the authors introduce a framework for the quantitative prediction of the time-dependent progress of a photoligation reaction and predict LED-light induced conversion through a wavelength-resolved numerical simulation.

Automated summary

Predicting the conversion and selectivity of photochemical reactions presents a unique challenge compared to thermally induced reactivity. The authors introduce a framework for the quantitative prediction of the time-dependent progress of a photoligation reaction and predict LED-light induced conversion through a wavelength-resolved numerical simulation.