Field Asymmetric Ion Mobility Spectrometry for Early Detection of Aphanomyces Root Rot in Peas Using Volatile Biomarkers

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The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jafc.4c12571.

• Figure S1. Hydroponic system schematics utilized to evaluate the effect of A. euteiches on pea; Figure S2. Pearson’s correlation analysis across treatments (noninoculated and inoculated), NILs, and the ion current peaks at 7 DAI showing the relationship between the root rot index and CO₂ assimilation and the relationship between the root rot index and the ion current intensity at 2 and 4 DAI; Figure S3. FAIMS ion current profiles of whole pea plants across inoculation treatments (nondestructive sampling) for NIL5-0b, NIL5-7.6b, NIL8-0b, and NIL8-7.6 at 2 and 4 DAI; Figure S4. Agglomerative hierarchical clustering using the ion current profiles for NIL5-0b, NIL5-7.6b, NIL8-0b, and NIL8-7.6b at 2 and 4 DAI; Figure S5. Ion current quantile data across treatments and NILs; Figure S6. FAIMS ion current profiles of pea roots across inoculation treatments at 7 DAI (destructive sampling) for NIL5-0b, NIL5-7.6b, NIL8-0b, and NIL8-7.6; Figure S7. Agglomerative hierarchical clustering from root samples at 7 DAI for NIL5-0b, NIL5-7.6b, NIL8-0b, and NIL8-7.6b; Figure S8. Comparative agglomerative hierarchical clustering analysis using NIL5-0b and NIL5-7.6b from root samples at 7 DAI showing clustering analysis using 21 and 42 metrics (mean, minimum, and maximum metrics) from ion current and curvature quantiles across treatments, NILs, and replications (PDF)