| Title: | Rapid In Situ Analysis of Plant Emission for Disease Diagnosis Using a Portable Gas Chromatography Device |
| Author(s): | Sharma R; Zhou M; Hunter MD; Fan X; |
| Address: | "Department of Biomedical Engineering , University of Michigan 1101 Beal Avenue , Ann Arbor , Michigan 48109 , United States. Department of Ecology and Evolutionary Biology , University of Michigan , 3010 Biological Sciences Building , Ann Arbor , Michigan 48109 , United States" |
| ISSN/ISBN: | 1520-5118 (Electronic) 0021-8561 (Linking) |
| Abstract: | "We developed and applied a fully automated portable gas chromatography (GC) device for rapid and in situ analysis of plant volatile organic compounds (VOCs) to examine plant health status. A total of 42 emission samples were collected over a period of 5 days from 10 milkweed ( Asclepias syriaca) plants, half of which were infested by aphids. Thirty-five VOC peaks were separated and detected in 8 min. An algorithm based on machine learning, principal component analysis, and linear discriminant analysis was developed to evaluate the GC results. We found that our device and algorithm are able to distinguish between the undamaged control and the aphid-infested milkweeds with an overall accuracy of 90-100% within 48-72 h of the attack. Such rapid in situ detection of insect attack attests to the great potential of VOC monitoring in plant health management" |
| Keywords: | "Animals Aphids/physiology Asclepias/*chemistry/parasitology Chromatography, Gas/*methods Plant Diseases/*parasitology Volatile Organic Compounds/*chemistry common milkweed ( plant disease diagnosis plant emission portable gas chromatography volatile organ;" |
| Notes: | "MedlineSharma, Ruchi Zhou, Menglian Hunter, Mark D Fan, Xudong eng Evaluation Study 2019/06/12 J Agric Food Chem. 2019 Jul 3; 67(26):7530-7537. doi: 10.1021/acs.jafc.9b02500. Epub 2019 Jun 22" |
