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Discrimination of Malus Taxa with Different Scent Intensities Using Electronic Nose and Gas Chromatography–Mass Spectrometry

机译:电子鼻和气相色谱-质谱法鉴别不同气味强度的海棠属

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摘要

Floral scent is important in plant reproduction and also has aesthetic implications. However, the accurate determination of aroma is presently limited by the available collection and analysis tools. In this study, the floral scents of four crabapple taxa exhibiting faint, weak, clear, and strong scent intensities were comparatively analyzed by electronic nose (E-nose) and gas chromatography–mass spectrometry (GC–MS). The E-nose was able to effectively group the different taxa in the principal component analysis in correspondence with scent intensity. GC–MS analysis identified a total of 60 volatile compounds. The content of nitrogen-containing compounds and aliphatics and the number of unique components of the more aromatic taxa was significantly higher than the less aromatic taxa. α-Cedrene, β-cedrene, 5-methyl-1,3-dihydro-2H-benzimidazol-2-one, benzyl alcohol, linalool, and 4-pyrrolidinopyridine contributed significantly to taxon separation. The pattern recognition results confirmed that the E-nose results corroborated the GC–MS results. Furthermore, partial least squares regression analysis between the aromatic constituents and sensors indicated that particular sensors were highly sensitive to N-containing compounds, aliphatics, and terpenes. In conclusion, the E-nose is capable of discriminating crabapple taxa of different scent intensities in both a qualitative and quantitative respect, presenting a rapid and accurate reference approach for future applications.
机译:花香在植物繁殖中很重要,也具有美学意义。但是,目前香气的准确测定受到可用的收集和分析工具的限制。在这项研究中,通过电子鼻(E-nose)和气相色谱-质谱(GC-MS)比较分析了四种淡淡,弱,透明和强气味强度的海棠类群的花香。电子鼻能够根据气味强度在主成分分析中对不同的分类单元进行有效分组。 GC-MS分析鉴定出总共60种挥发性化合物。芳香度较高的分类单元中含氮化合物和脂肪族化合物的含量以及独特成分的数量明显高于芳香度较低的分类单元。 α-雪松烯,β-雪松烯,5-甲基-1,3-二氢-2H-苯并咪唑-2-酮,苯甲醇,芳樟醇和4-吡咯烷基吡啶并显着促进了分类单元的分离。模式识别结果证实,电子鼻结果证实了GC-MS结果。此外,芳香族成分和传感器之间的偏最小二乘回归分析表明,特定的传感器对含氮化合物,脂肪族化合物和萜烯高度敏感。总之,E-nose能够在定性和定量方面区分不同气味强度的海棠类群,为将来的应用提供了快速准确的参考方法。

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