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Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2025CC BY-NC V4.0, Open
Journal article
Rapid and accurate detection of huanglongbing in citrus by elasticity testing using a piezoelectric finger
Analytical methods, v 17, pp 2307-2311
20 Feb 2025
PMID: 39973349
Featured in Collection : Research Supported by Drexel Libraries' OA Programs
Abstract
Rapid and sensitive detection of citrus huanglongbing (HLB) is critical for the control of this devastating disease. In this study, we have evaluated using a piezoelectric finger (PEF) with a 0.4 mm probe to measure the elastic modulus of a leaf to detect HLB in four different species of citrus including grapefruit (GFT), pumelo (PUM), lemon (LEM), and Valencia orange (VAL). Diseased citrus leaves were harvested from trees testing positive for the presence of
Liberibacter asiaticus (Las), the causal agent of HLB, and included both symptomatic leaves, which were blotchy mottle or yellowing and asymptomatic leaves, which did not display outward symptoms. Healthy leaves were harvested from trees testing negative for Las. The results indicated that the PEF elastic modulus test exhibited an overall 94% sensitivity and 90% specificity against the Las status of the trees for all four citrus types combined. Comparative quantitative real-time polymerase chain reaction (qPCR) tests on the same leaves showed an overall 89% sensitivity and 100% specificity against the Las status of the trees. While a Cohen-Kappa coefficient of 0.81 was obtained between the PEF and qPCR predictions, suggesting a "strong" agreement between the PEF and qPCR tests, a more detailed examination indicated that PEF was more sensitive overall in detecting the Las positive trees than qPCR, particularly from asymptomatic leaves for which PEF was 96% sensitive
78% sensitive by qPCR, indicating the potential of using PEF for early detection of HLB.
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Details
- Title
- Rapid and accurate detection of huanglongbing in citrus by elasticity testing using a piezoelectric finger
- Creators
- Pawan Rao - Drexel UniversityShu Huang - Drexel UniversityCheryl M Armstrong - Eastern Regional Research CenterJoseph Capobianco - Eastern Regional Research CenterYongPing Duan - U.S. Horticultural Research LaboratoryWei-Heng Shih - Drexel UniversityWan Y Shih (Corresponding Author) - Drexel University
- Publication Details
- Analytical methods, v 17, pp 2307-2311
- Publisher
- Royal Society of Chemistry
- Number of pages
- 10
- Grant note
- U.S. Department of Agriculture: 58-8072-0-017 United States Department of Agriculture (USDA) under ARSX Trust Fund
The authors would like to acknowledge the support by the United States Department of Agriculture (USDA) under ARSX Trust Fund Cooperative Agreement no. 58-8072-0-017. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the USDA. The USDA is an equal opportunity employer.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; Materials Science and Engineering
- Web of Science ID
- WOS:001425788100001
- Scopus ID
- 2-s2.0-86000432997
- Other Identifier
- 991022029669904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Chemistry, Analytical
- Food Science & Technology
- Spectroscopy