ArticleRSC advances2026
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.
Article in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Cross-platform correlations in heterogeneous biological materials can reflect shared experimental structure rather than intrinsic chemical coupling. Here, 90 flue-cured tobacco leaves from ten production areas and three stalk positions were analysed in a balanced 10 × 3 × 3 design using headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) and Fourier transform infrared spectroscopy (FTIR). For a prespecified 8 × 8 cross-modal panel, pooled rank covariance was partitioned into production-area, stalk-position, area × position and within-cell residual components, with robustness assessed by design-preserving permutation, nested classification and leave-one-production-area-out validation. FTIR replicate consistency was high (median mean within-sample correlation ≈0.996). Both analytical platforms contained reproducible stalk-position information, and feature-level fusion achieved 84.4% internal accuracy, but this decreased to 42.2% when complete production areas were held out. Geographic origin dominated global analytical heterogeneity and 13 of 14 retained cross-modal associations (|
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