Detection of stipe rot disease in Morchella sextelata based on enhanced Fourier transform infrared spectroscopy
Year: 2026
Type: article
Abstract: Timely detection of stipe rot disease is crucial for ensuring the yield and quality of Morchella sextelata (morel). In this study, we propose a volatile-enhanced Fourier transform infrared (FTIR) spectroscopy for detecting stipe rot disease. The signature volatiles of disease were analyzed and identified by long-path enhanced FTIR spectroscopy. Moreover, the enrichment-enhanced spectral properties of the signature volatile were analyzed using a metal–organic framework (MOF) enrichment-enhanced FTIR spectroscopy. A multivariate quantitative model and an identification model for the stipe rot disease were established based on enrichment-enhanced spectral characteristics combined with chemometric methods. The results show that ammonia is the signature volatile, and the quantitative model demonstrates a superior ability to quantify ammonia. The support vector machine enables the identification of disease degree and achieves a recognition accuracy of 98.75%. The volatile-enhanced FTIR technique provides a feasible method for the rapid and non-destructive detection of stipe rot disease in morel. • Long-path enhanced FTIR spectroscopy identifies signature volatiles of stipe rot. • MOF enrichment-enhanced FTIR spectroscopy can sense key volatile biomarker. • The ammonia content levels of four disease stages of stipe rot are assessed. • Enhanced FTIR technology allows non-destructive detection of morel stipe rot disease.
Source: Food Chemistry X
Authors: Guiyan Yang, Leizi Jiao, Ke Wang, Zhen Gao, Daming Dong
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $2,330
Awards: G1683128077, G5000152758, G5346786924
OpenAlex ID: W7128700827
