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Geographical Classification ofHelicoverpa armigera(Lepidoptera: Noctuidae) through Mineral Component Analysis

文献类型： 外文期刊

作者： Lin, Tao 1 ; Chen, Peng 2 ; Chen, Xiang 3 ; Shen, Jia 4 ; Zhong, Shangshang 1 ; Sun, Qian 1 ; Guo, Mingquan 1 ; Cheng, Xi 1 ;

作者机构： 1.Univ Sci & Technol China, Dept Chem, Hefei 230026, Peoples R China

2.Sichuan Prov Tobacco Corp, Chengdu, Peoples R China

3.Anhui Agr Univ, Sch Agron, Hefei, Peoples R China

4.Anhui Acad Agr Sci, Tobacco Res Inst, Maize Res Inst, Hefei, Peoples R China

关键词： Helicoverpa armigera; inductively coupled plasma - optical emission spectrometry (ICP-OES); Multivariate statistical analysis

期刊名称：ANALYTICAL LETTERS （ 影响因子：2.329； 五年影响因子：1.738 ）

ISSN： 0003-2719

年卷期：

页码：

收录情况： SCI

摘要： Inorganic components have been widely applied as geographical traceability biomarkers of plant derived food and phytophagous insects.Helicoverpa armigera(H. armigera) (Lepidoptera: Noctuidae), a global economic pest, has been shown to be able to migrate long distances but the detailed migration paths are still unclear. Herein, the levels of 10 minerals (Mg, Al, K, Ca, Mn, Fe, Cu, Zn, Cr and Sr) in 32H. armigeraadults from different growing backgrounds were evaluated by inductively coupled plasma - optical emission spectrometry (ICP-OES). The discrimination of these insects from five groups was realized by using principal component analysis (PCA) and canonical discriminant analysis (CDA). The results showed thatH. armigerafrom different growing backgrounds discriminated by PCA and CDA achieved high accuracy values of 84.4% and 100.0%, respectively. Additionally, cross-validation was utilized to check the confidence of the CDA results with an accuracy of 81.3%. The present study shows that geographical discrimination established by chemometric analytical methods achieves high confidence in terms of the identification of the phytophagous insectH. armigera. The application of this pattern may contribute to resolving migratory insect issues in the near future.

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