An outdoor CO2 reduction result makes a strong claim, that sunlight and a catalyst converted CO2, and the claim lives or dies on the completeness of the data chain. Outdoor campaigns fail reviews not because the chemistry was wrong but because conditions went unrecorded.
Irradiance at the reactor (a pyranometer at plane, not station weather data); spectral information or at least a clear-sky proxy; ambient and reactor temperatures; CO2 feed rate and purity; pressure or flow regime; production rates of every product with detection limits; and system events, cleaning, downtime, anomalies. One time base for everything, synchronization errors corrupt correlations silently.
Missing irradiance, production without irradiance cannot be normalized or compared to anything. Missing temperature, thermal and photochemical contributions blur together. Missing blanks, outdoor air carries carbon compounds, and no-catalyst and no-CO2 controls are what separate conversion from contamination. Missing product scope, unmeasured products break the carbon balance and with it the paper.
Normalize production by measured photon flux or irradiance-integrated exposure, quote solar-to-product efficiency with its assumptions stated, and compare runs only at matched conditions. Field data tolerates roughness, it does not tolerate missing context.
A complete field chain turns the campaign from anecdote into evidence: it supports diurnal analysis, weather correlations, degradation tracking and honest lab-to-field ratios. Every reviewer asks for the chain, build it first.
For outdoor data acquisition configurations, see Perfectlight's outdoor systems and engineering solutions.
