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

<i>Lathyrus odoratus</i> 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 <i>L. odorathus</i>. 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<i>R</i>)-(+)-α-pinene, (<i>S</i>)-(-)-limonene, (<i>R</i>)-(+)-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.

Authors

Institutions

Publication Details

Journal
Plants
Published
2024-11-21
DOI
https://doi.org/10.3390/plants13233272
Citations
2
Primary Topic
GABA and Rice Research
Type
article
Field-Weighted Citation Impact
1.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

M. Parra, Ángel Benítez, James Calva
2 citations
Plants
GABA and Rice Research
1.20
article

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

M. Parra, Ángel Benítez, James Calva
article en
2 citations

Abstract

<i>Lathyrus odoratus</i> 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 <i>L. odorathus</i>. 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<i>R</i>)-(+)-α-pinene, (<i>S</i>)-(-)-limonene, (<i>R</i>)-(+)-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.

PlantsVol. 13(23)
Universidad Técnica Particular de Loja (EC)
Universidad Técnica Particular de Loja
Life in Land
Openalex Percentile: Top 16%
GABA and Rice Research
1.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.