GC-IMS identification of early-warning biomarkers and fungal community dynamics during cigar tobacco mold process

利用气相色谱-离子迁移谱法(GC-IMS)鉴定雪茄烟草霉菌生长过程中的早期预警生物标志物和真菌群落动态

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Abstract

INTRODUCTION: Mold-derived contamination in cigar tobacco leaves causes severe economic losses and health risks due to mycotoxin production. This study aimed to identify early-warning biomarkers for mold and elucidate their interaction with fungal communities. METHOD: Gas chromatography-ion mobility spectrometry (GC-IMS) combined with high-throughput sequencing was employed to profile volatile organic compounds (VOCs) and fungal communities during artificial molding. RESULTS: A total of 72 VOCs were detected, with four compounds (2-methyl-1-butanol-M, 2-methyl-1-butanol-D, 2-propanone, and 1-penten-3-ol) identified as early-warning biomarkers through VIP > 1 and P < 0.05, showing 1.31.5-fold increases in early mold stages (MB3). Furthermore, fungal diversity sharply declined post-molding (OTUs reduced by 85.7%), with Aspergillus dominating (>99.45% abundance), and exhibiting strong positive correlations with 1-penten-3-ol (ρ = 0.61) and benzaldehyde-M (ρ = 0.67). DISCUSSION: These findings provide actionable biomarkers for industrial mold prevention and insights into fungal-VOC interaction, with implications for perishable crop storage.

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