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从桉树精油中快速筛选出除草剂化学物质的策略。

A strategy of rapidly screening out herbicidal chemicals from Eucalyptus essential oils.

机构信息

State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, China.

Graham Centre for Agricultural Innovation (NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga Agricultural Institute, NSW Department of Primary Industries, Wagga Wagga, NSW, Australia.

出版信息

Pest Manag Sci. 2020 Mar;76(3):917-927. doi: 10.1002/ps.5597. Epub 2019 Sep 30.

DOI:10.1002/ps.5597
PMID:31444936
Abstract

BACKGROUND

To enhance discovering efficiency of new herbicidal compounds, a strategy for rapidly screening out strongly herbicidal chemical components from natural resources is necessary.

RESULTS

Seventeen essential oils selected from 14 Eucalyptus species and hybrids were evaluated for their herbicidal activities on annual ryegrass. A feasible strategy was established for rapidly pinpointing the chemicals contributing to strong herbicidal activities without the process of isolation and purification of individual compounds. This strategy was based on gas chromatography-mass spectrometry (GC-MS) coupled with principal component analysis (PCA) and verified by the bioassay results using several individual compounds. Two strong herbicidal compounds trans-pinocarveol and α-terpineol were screened out using the strategy. The strong herbicidal activity of trans-pinocarveol was discovered for the first time.

CONCLUSION

The established strategy of screening herbicidal compounds from natural resources is simple, feasible and reliable. © 2019 Society of Chemical Industry.

摘要

背景

为了提高新除草剂化合物的发现效率,有必要从自然资源中快速筛选出具有强烈除草活性的化学物质。

结果

从 14 种桉树属物种及其杂种中选择了 17 种精油,评估了它们对一年生黑麦草的除草活性。建立了一种可行的策略,可在不进行单个化合物的分离和纯化的情况下,快速确定对强除草活性有贡献的化学物质。该策略基于气相色谱-质谱联用(GC-MS)结合主成分分析(PCA),并通过使用几种单个化合物进行生物测定结果进行验证。利用该策略筛选出两种具有强烈除草活性的化合物反式-对伞花烃和α-松油醇。首次发现反式-对伞花烃具有强烈的除草活性。

结论

从天然资源中筛选除草化合物的建立策略简单、可行且可靠。 © 2019 英国化学学会。

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