Processing technology as aroma architect: OAV fingerprints decode differentiation and compatibility of key odorants in Fuding Dabai tea via GC×GC-TOF-MS and sensomics

This study systematically investigates the regulatory role of processing technology in the aroma differentiation of Fuding Dabai tea (<i>Camellia sinensis</i>). Using an integrated sensomics approach combining quantitative descriptive analysis and GC × GC-TOF-MS, we deciphered aroma formation in green (GT), white (WT), black (BT), and dark (DT) teas. Among 187 volatiles detected, WT exhibited the highest VOC content (2349.42 μg/L) and the most key odorants (30 of 36). Multivariate statistical modeling identified fermentation degree as the primary factor driving aroma divergence, clearly discriminating fermented (BT/DT) from non/light-fermented (GT/WT) teas. OPLS-DA selected 12 marker compounds (VIP > 1), predominantly alcohols and aldehydes. Sweet aroma exhibited strong correlations with benzeneacetaldehyde (<i>r</i> = 0.91) and (<i>E</i>)-2-hexenal (<i>r</i> = 0.92), while aged aroma correlated strongly with (<i>E,E</i>)-2,4-heptadienal (<i>r</i> = 0.92) (all <i>p</i> < 0.001). We demonstrate that processing reconfigures aroma profiles through enzymatic inhibition, oxidative conversion, and microbial fermentation pathways. These results provide a biochemical basis for aroma-oriented optimization in tea processing and establish the superior suitability of Fuding Dabai for white tea production.