Agustika, Dyah K. and Mercuriani, Ixora S. and Ariyanti, Nur Aeni and Purnomo, Chandra W. and Triyana, Kuwat and Iliescu, Daciana D. and Leeson, Mark S. (2021) Gas Chromatography-Mass Spectrometry Analysis of Compounds Emitted by Pepper Yellow Leaf Curl Virus-Infected Chili Plants: A Preliminary Study. SEPARATIONS, 8 (9).
Full text not available from this repository. (Request a copy)Abstract
Pepper yellow leaf curl virus (PYLCV) is a threat to chili plants and can significantly reduce yields. This study aimed as a pilot project to detect PYLCV by analyzing compounds emitted by chili plants using gas chromatography-mass spectrometry (GC-MS). The samples investigated in this research were PYLCV-infected and PYLCV-undetected chili plants taken from commercial chili fields. The infection status was validated by using a polymerase chain reaction (PCR) test. A headspace technique was used to extract the volatile organic compounds emitted by plants. The analysis of GC-MS results began with pre-processing, analyzing sample compound variability with a boxplot analysis, and sample classification by using a multivariate technique. Unsupervised multivariate technique principal component analysis (PCA) was performed to discover whether GC-MS could identify PYLCV-infected or not. The results showed that PYLCV-infected and PYLCV-undetected chili plants could be differentiated, with a total percent variance of the first three principal components reaching 91.32%, and successfully discriminated between PYLCV-infected and PYLCV-undetected chili plants. However, more comprehensive studies are needed to find the potential biomarkers of the infected plants.
Item Type: | Article |
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Uncontrolled Keywords: | pepper yellow leaf curl virus; plant disease detection; gas chromatography-mass spectrometry; multivariate analysis technique |
Subjects: | T Technology > TP Chemical technology |
Divisions: | Faculty of Engineering > Chemistry Engineering Department |
Depositing User: | Sri JUNANDI |
Date Deposited: | 14 Oct 2024 06:33 |
Last Modified: | 14 Oct 2024 06:33 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/9370 |