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Volatile Distribution in Flowers of L. by HS-SPME-GC Technique and Enantiomeric Separation Data. | LitMetric

Volatile Distribution in Flowers of L. by HS-SPME-GC Technique and Enantiomeric Separation Data.

Plants (Basel)

Biodiversidad de Ecosistemas Tropicales-BIETROP, Herbario HUTPL, Departamento de Ciencias Biológicas y Agropecuarias, Universidad Técnica Particular de Loja (UTPL), San Cayetano s/n, Loja 1101608, Ecuador.

Published: November 2024

AI Article Synopsis

Article Abstract

L., commonly known as sweet pea, is a plant with a distinctive aroma that can develop in various habitats. An analysis of the aromatic profile of the species was conducted using the HS-SPME (solid-phase microextraction headspace) technique. This study aimed to explore the composition of and variation in the floral scent emissions of . The floral scents from fresh flowers were collected over different months and analyzed using gas chromatography coupled with mass spectrometry on apolar and polar stationary phase columns. In the apolar column, the majority compounds included linalool (19.27-5.79%), α-trans-bergamotene (29.4-14.21%), and phenyl ethyl alcohol (30.01-1.56%), while on the polar column, the predominant compounds included myrcene (13.25%), (E,E)-α-farnesene (26.33-8.16%), α-trans-bergamotene (42.09-24.82%), and others. This investigation was complemented by enantioselective analysis using a chiral phase based in cyclodextrins, which revealed the presence of (1)-(+)-α-pinene, ()-(-)-limonene, ()-(+)-germacrene D, and (R)-(E)-nerolidol as enantiomerically pure components and linalool as a racemic mixture. Notably, the principal component analysis (PCA) and heatmap revealed variations among the chemical compounds collected at different harvest times. This demonstrates that temporal factors indeed impact chemical compound production. Furthermore, research on the aromatic properties of flowers provides a theoretical basis for studying and improving the components of their scent.

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Source
http://dx.doi.org/10.3390/plants13233272DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11644040PMC

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