Feasibility of Little Cherry/X-Disease Detection in Prunus avium Using Field Asymmetric Ion Mobility Spectrometry
Little cherry disease (LCD) and X-disease have critically impacted the Pacific Northwest sweet cherry (<i>Prunus avium</i>) industry. Current detection methods rely on laborious visual scouting or molecular analyses. This study evaluates the suitability of field asymmetric ion mobility spectrometry (FAIMS) for rapid detection of LCD and X-disease infection in three sweet cherry cultivars ('Benton', 'Cristalina', and 'Tieton') at the post-harvest stage. Stem cuttings with leaves were collected from commercial orchards and greenhouse trees. FAIMS operated at 1.5 L/min and 50 kPa, was used for headspace analysis. Molecular analyses confirmed symptomatic and asymptomatic samples. FAIMS data were processed for ion current sum (I<sub>sum</sub>), maximum ion current (I<sub>max</sub>), and area under the curve (I<sub>AUC</sub>). Symptomatic samples showed higher ion currents in specific FAIMS regions (<i>p</i> < 0.05), with clear differences between symptomatic and asymptomatic samples across compensation voltage and dispersion field ranges. Cultivar-specific variation was also observed in the data. FAIMS spectra for LCD/X-disease symptomatic samples differed from those for asymptomatic samples in other Prunus species, such as peach and nectarines. These findings support FAIMS as a potential diagnostic tool for LCD/X disease. Further studies with controlled variables and key growth stages are recommended to realize early-stage detection.
Authors
- Gajanan S. Kothawade (ORCID: https://orcid.org/0000-0002-4639-6296)
- Abhilash Kumar Chandel (ORCID: https://orcid.org/0000-0002-3996-4443)
- Alice A. Wright (ORCID: https://orcid.org/0000-0002-0715-3777)
- Lav R. Khot (ORCID: https://orcid.org/0000-0002-5018-7825)
- S. J. Harper (ORCID: https://orcid.org/0000-0002-9355-2431)
- Cody Molnar
Institutions
- Agricultural Research Service (US)
- Washington State University (US)
- Virginia Tech (US)
Publication Details
- Journal
- Sensors
- Published
- 2025-03-25
- DOI
- https://doi.org/10.3390/s25072034
- Citations
- 1
- Primary Topic
- Water Quality Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.00
Funders
- Washington Tree Fruit Research Commission