Factor-aware cross-modal mapping of GC-MS and FTIR resolves geographic and stalk-position contributions to volatile–matrix covariation in tobacco leaves from China
Year: 2026
Type: article
Abstract: = 0.479) was almost entirely attributable to between-area covariance and approached zero after area adjustment, whereas selected nicotine-carbohydrate and phytol-glycosidic relationships contained larger area × position contributions. The framework therefore provides source-aware interpretation of pooled multimodal correlations; its principal limitations are dependence on structured sampling, tentative compound annotation from archived total-ion-current data and limited transfer to unseen geographic origins.
Source: RSC Advances
DOI: 10.1039/d6ra08992e
Institutions: Shanghai Tobacco Group (China), Fudan University
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,042
OpenAlex ID: W7223149836
