| Title: | Behavioral responses of Platycladus orientalis plant volatiles to Phloeosinus aubei by GC-MS and HS-GC-IMS for discrimination of different invasive severity |
| Author(s): | Zheng C; Zhou Q; Wang Z; Wang J; |
| Address: | "Department of Biosystems Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China. Department of Agriculture Engineering, Shandong University of Technology, 266 Xincun West Road, Zibo, 255049, China. Department of Biosystems Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China. jwang@zju.edu.cn" |
| DOI: | 10.1007/s00216-021-03556-5 |
| ISSN/ISBN: | 1618-2650 (Electronic) 1618-2642 (Linking) |
| Abstract: | "In recent years, the invasive cypress bark beetle (Phloeosinus aubei) has caused extensive damage to Platycladus orientalis plants in China, but its infestation is hard to monitor in the early stages. In this study, gas chromatography-mass spectrometry (GC-MS) was initially employed to investigate the volatile organic compound (VOC) emissions of P. aubei-infested P. orientalis saplings. The emissions of total sesquiterpenes were dominating (84-86% of total VOCs) and increased by 3.09-fold in P. aubei-damaged P. orientalis samples compared to undamaged samples, and the monoterpenes, aromatic compounds, and ketone emissions also had varying degrees of increase between 1.39-fold and 5.65-fold. Based on this variation, gas chromatography-ion mobility spectrometry (GC-IMS) was applied, as an untargeted analytical approach, to discriminate P. orientalis samples with different invasive severity. Two different features derived from GC-IMS data were adopted as the input information for classification and prediction models. Results showed that grid search support vector machine (GS-SVM) combined with multilinear principal component analysis (MPCA) based on spectral fingerprint achieved the best classification performances (> 88.98%), and partial least squares discriminant analysis (PLSR) method can accurately predict the pest numbers (R(2) > 0.9423 and RMSE < 0.9827). In a word, the VOC profiling-based approach had the potential for evaluating P. aubei invasive severity and pest management" |
| Keywords: | Animals China Coleoptera/*drug effects Cupressaceae/*chemistry Gas Chromatography-Mass Spectrometry/*methods *Introduced Species Pest Control/*methods Volatile Organic Compounds/*pharmacology Discrimination Invasive severity Phloeosinus aubei Platycladus; |
| Notes: | "MedlineZheng, Chengyu Zhou, Qinan Wang, Zhenhe Wang, Jun eng 31670654/the National Natural Science Foundation of China/ Germany 2021/07/30 Anal Bioanal Chem. 2021 Sep; 413(23):5789-5798. doi: 10.1007/s00216-021-03556-5. Epub 2021 Jul 28" |
