Chiu Chun-I, Yosen Thanchanok, Nampila Supatchaya, Posom Jetsada, Suttiprapan Piyawan, Sripontan Yuwatida
Department of Entomology and Plant Pathology, Faculty of Agriculture, Chiang Mai University, Chiang Mai, Thailand.
Agrodiversity in Highland and Sustainable Utilization Research Group, Chiang Mai University, Chiang Mai, Chiang Mai, Thailand.
PeerJ. 2025 Aug 25;13:e19936. doi: 10.7717/peerj.19936. eCollection 2025.
Mealybugs are major pests that cause sap loss and can significantly reduce the quality and market value of durian fruits. Early detection is essential for effective pest management. This study explores the impact of mealybug infestation on volatile emissions and evaluates the application of a low-cost electronic nose (E-nose) system for early infestation detection and ripeness monitoring.
A prototype electronic nose (E-nose), equipped with four Grove Multichannel Gas Sensor V2 (GM) series sensors selected from a sensitivity survey of 13 sensors, was developed and tested on "Monthong" and "Kradum Thong" durians under outdoor and indoor conditions. Fruit odor signals were analyzed, and linear discriminant analysis (LDA) was used to assess classification performance.
The E-nose effectively differentiated odor profiles between infested and uninfested fruits and ripeness stages. Infested fruits exhibited a different trend of odor changes during ripening, likely due to stress-induced physiological responses.
This is the first study demonstrating the use of an E-nose for durian pest detection and ripeness monitoring. The E-nose shows strong potential as a cost-effective, non-destructive tool for early pest detection and postharvest quality control. Future work will focus on scaling the technology with robotic platforms for large-scale monitoring in farms and storage facilities.
粉蚧是主要害虫,会导致汁液流失,并能显著降低榴莲果实的品质和市场价值。早期检测对于有效的害虫管理至关重要。本研究探讨了粉蚧侵染对挥发性物质排放的影响,并评估了一种低成本电子鼻(E-nose)系统在早期侵染检测和成熟度监测方面的应用。
开发了一种原型电子鼻(E-nose),它配备了从13种传感器的灵敏度调查中选出的4个Grove多通道气体传感器V2(GM)系列传感器,并在室外和室内条件下对“金枕头”和“甲仑”榴莲进行了测试。分析了果实气味信号,并使用线性判别分析(LDA)评估分类性能。
电子鼻有效地区分了受侵染和未受侵染果实以及成熟阶段之间的气味特征。受侵染的果实在成熟过程中表现出不同的气味变化趋势,这可能是由于应激诱导的生理反应。
这是第一项证明使用电子鼻进行榴莲害虫检测和成熟度监测的研究。电子鼻作为一种经济高效、无损的早期害虫检测和采后质量控制工具具有很强的潜力。未来的工作将集中于将该技术与机器人平台相结合,以便在农场和储存设施中进行大规模监测。