Abstract
The flowers of Elaeagnus angustifolia L. have been used as a homologous variety in China, whose quality seriously relies on the compositions during the flowering period. Unfortunately, studies on the variations of volatile compounds during the flowering season are rarely reported. Herein, a gas chromatography-mass spectrometry-based untargeted metabolomic methodology was proposed for the comprehensive analysis of volatile compounds in E. angustifolia flowers to classify various flowering stages. Samples from four flowering stages were collected, including the initial bloom stage, pre-full bloom stage (70–80% of flowers), full bloom stage, and ending of the bloom stage. Simultaneous distillation extraction was used for the extraction of volatile compounds in the flowers, which was then analyzed by a newly developed chemometric data analysis tool, autoGCMSDataAnal. An advantage of the developed methodology is that compounds can be accurately screened and identified. Finally, 59 compounds that showed significant difference among four flowering stages were screened and 31 compounds were identified. Sample clustering results from principal component analysis and hierarchical clustering analysis suggested that flowers from the pre-full bloom stage and full bloom stage may be more suitable when used as raw materials for industrial products.
Highlights
As a homologous variety, the flowers of Elaeagnus angustifolia L. have been used in the west zones of China [1,2,3,4]
It was reported that E. angustifolia flowers have anti-saccharification effect and can be used as a food additive to inhibit the undesirable saccharification reaction in food processing [15]. e essential oils of E. angustifolia flowers and leaves have been extracted and identified as preservatives in the food industry and natural pesticides in agriculture [7]
total ion current chromatogram (TIC) Peak Detection and Deconvolution. e success of gas chromatography-mass spectrometry (GC-MS) data analysis seriously relied on the compound information extraction. e performance of autoGCMSDataAnal on TIC peak detection was firstly investigated in this work
Summary
A Study on the Volatile Compounds in Elaeagnus angustifolia L. Flowers during Flowering Season by Gas Chromatography-Mass Spectrometry Coupled with Advanced Chemometrics. Studies on the variations of volatile compounds during the flowering season are rarely reported. A gas chromatography-mass spectrometry-based untargeted metabolomic methodology was proposed for the comprehensive analysis of volatile compounds in E. angustifolia flowers to classify various flowering stages. Simultaneous distillation extraction was used for the extraction of volatile compounds in the flowers, which was analyzed by a newly developed chemometric data analysis tool, autoGCMSDataAnal. An advantage of the developed methodology is that compounds can be accurately screened and identified. 59 compounds that showed significant difference among four flowering stages were screened and 31 compounds were identified. Sample clustering results from principal component analysis and hierarchical clustering analysis suggested that flowers from the pre-full bloom stage and full bloom stage may be more suitable when used as raw materials for industrial products
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