Scholarlink

<p>Among the emerging trends for detecting postharvest infections, spoilage and metabolic stress in plants, the volatile-based detection is gaining significant attention from researchers. Infection of onions by <i>Aspergillus spp.</i> not only causes major economic loss but also poses health risks due to mycotoxin production. In this study, we explored and evaluated the key volatile compounds released during the early stage of storage, and examined the multivariate and compound level discrimination level for distinguishing between <i>A. niger</i> and <i>A. flavus</i>. The onions were stored under four different temperatures, and humidity conditions to monitor volatile organic compounds (VOCs) emitted at the onset of infection, prior to significant visible symptoms appeared. VOCs were captured using SPME fibers, and analyzed by thermal desorption gas chromatography-mass spectroscopy (GC-MS) to identify characteristic volatile signatures. The study revealed that <i>A. flavus</i> induced a broader range of phrnolic acids, hydroxycinnamate esters, and adenosine derivatives, indicating higher metabolic plasticity, whereas <i>A. niger</i> triggered a narrower yet consistent profile dominated by lipid and hydrocarbon related metabolites. Identified VOC biomarkers formed the input variables for Multivariate analysis (PCA and PERMANOVA) enabled robust discrimination between healthy and infected onions as well as between fungal species across temperatures and time points. Our findings highlight the utility of integrating metabolomics and volatile based biomarkers with chemometric tools for early, non-invasive detection of onion fungal infections, providing a foundation for improved postharvest management and reduced storage losses.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Volatile biomarker signature of onion infected with Aspergillus niger and Aspergillus flavus under postharvest storage

  • 期刊论文

  • 发表日期：

    2026年4月16日

查看全文
  • Shikha Tiwari,
  • Jamna Prasad Gujar,
  • Adinath Kate,
  • Manoj Kumar Tripathi,
  • Bharat Modhera,
  • Debabandya Mohapatra

摘要

Among the emerging trends for detecting postharvest infections, spoilage and metabolic stress in plants, the volatile-based detection is gaining significant attention from researchers. Infection of onions by Aspergillus spp. not only causes major economic loss but also poses health risks due to mycotoxin production. In this study, we explored and evaluated the key volatile compounds released during the early stage of storage, and examined the multivariate and compound level discrimination level for distinguishing between A. niger and A. flavus. The onions were stored under four different temperatures, and humidity conditions to monitor volatile organic compounds (VOCs) emitted at the onset of infection, prior to significant visible symptoms appeared. VOCs were captured using SPME fibers, and analyzed by thermal desorption gas chromatography-mass spectroscopy (GC-MS) to identify characteristic volatile signatures. The study revealed that A. flavus induced a broader range of phrnolic acids, hydroxycinnamate esters, and adenosine derivatives, indicating higher metabolic plasticity, whereas A. niger triggered a narrower yet consistent profile dominated by lipid and hydrocarbon related metabolites. Identified VOC biomarkers formed the input variables for Multivariate analysis (PCA and PERMANOVA) enabled robust discrimination between healthy and infected onions as well as between fungal species across temperatures and time points. Our findings highlight the utility of integrating metabolomics and volatile based biomarkers with chemometric tools for early, non-invasive detection of onion fungal infections, providing a foundation for improved postharvest management and reduced storage losses.