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Hydrodistillation Extraction Kinetics Regression Models for Essential Oil Yield and Composition in Juniperus virginiana, J. excelsa, and J. sabina

The chemical profile and antioxidant capacity of Juniperus virginiana, J. excelsa, and J. sabina essential oil (EO) fractions as a function of time was the subject of this study. The hypothesis was that, capturing EO in sequential timeframes during hydrodistillation would generate fractions containi...

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Autores principales: B. Semerdjieva, Ivanka, Shiwakoti, Santosh, L. Cantrell, Charles, D. Zheljazkov, Valtcho, Astatkie, Tess, Schlegel, Vicki, Radoukova, Tzenka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429388/
https://www.ncbi.nlm.nih.gov/pubmed/30862073
http://dx.doi.org/10.3390/molecules24050986
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author B. Semerdjieva, Ivanka
Shiwakoti, Santosh
L. Cantrell, Charles
D. Zheljazkov, Valtcho
Astatkie, Tess
Schlegel, Vicki
Radoukova, Tzenka
author_facet B. Semerdjieva, Ivanka
Shiwakoti, Santosh
L. Cantrell, Charles
D. Zheljazkov, Valtcho
Astatkie, Tess
Schlegel, Vicki
Radoukova, Tzenka
author_sort B. Semerdjieva, Ivanka
collection PubMed
description The chemical profile and antioxidant capacity of Juniperus virginiana, J. excelsa, and J. sabina essential oil (EO) fractions as a function of time was the subject of this study. The hypothesis was that, capturing EO in sequential timeframes during hydrodistillation would generate fractions containing unique compositions and antioxidant capacity. In J. virginiana, the highest limonene (43%) was found in the 0–5 min oil fraction, with safrole (37%) being highest in the 10–20 and 20–40 min fractions, and elemol (34%) being highest in the 160–240 min fraction. In J. excelsa, α-pinene (34-36%) was the highest in the 0–5 min fraction and in the control (non-stop 0–240 min distillation) oil, limonene (39%) was the highest in the 0–10 min fractions and cedrol (50-53%) was the highest in the 40–240 min fractions. In J. sabina, sabinene (80%) was highest in the 0–3 min fraction. The highest antioxidant capacity of J. virginiana was demonstrated by the 5–10 min fraction; the one in J. sabina by the 3–10 min fraction; and, the one in J. excelsa, by the control. The kinetics regression models that were developed can predict EO composition of the three juniper species eluted at different timeframes. Various industries could benefit from the results from this study.
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spelling pubmed-64293882019-04-15 Hydrodistillation Extraction Kinetics Regression Models for Essential Oil Yield and Composition in Juniperus virginiana, J. excelsa, and J. sabina B. Semerdjieva, Ivanka Shiwakoti, Santosh L. Cantrell, Charles D. Zheljazkov, Valtcho Astatkie, Tess Schlegel, Vicki Radoukova, Tzenka Molecules Article The chemical profile and antioxidant capacity of Juniperus virginiana, J. excelsa, and J. sabina essential oil (EO) fractions as a function of time was the subject of this study. The hypothesis was that, capturing EO in sequential timeframes during hydrodistillation would generate fractions containing unique compositions and antioxidant capacity. In J. virginiana, the highest limonene (43%) was found in the 0–5 min oil fraction, with safrole (37%) being highest in the 10–20 and 20–40 min fractions, and elemol (34%) being highest in the 160–240 min fraction. In J. excelsa, α-pinene (34-36%) was the highest in the 0–5 min fraction and in the control (non-stop 0–240 min distillation) oil, limonene (39%) was the highest in the 0–10 min fractions and cedrol (50-53%) was the highest in the 40–240 min fractions. In J. sabina, sabinene (80%) was highest in the 0–3 min fraction. The highest antioxidant capacity of J. virginiana was demonstrated by the 5–10 min fraction; the one in J. sabina by the 3–10 min fraction; and, the one in J. excelsa, by the control. The kinetics regression models that were developed can predict EO composition of the three juniper species eluted at different timeframes. Various industries could benefit from the results from this study. MDPI 2019-03-11 /pmc/articles/PMC6429388/ /pubmed/30862073 http://dx.doi.org/10.3390/molecules24050986 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
B. Semerdjieva, Ivanka
Shiwakoti, Santosh
L. Cantrell, Charles
D. Zheljazkov, Valtcho
Astatkie, Tess
Schlegel, Vicki
Radoukova, Tzenka
Hydrodistillation Extraction Kinetics Regression Models for Essential Oil Yield and Composition in Juniperus virginiana, J. excelsa, and J. sabina
title Hydrodistillation Extraction Kinetics Regression Models for Essential Oil Yield and Composition in Juniperus virginiana, J. excelsa, and J. sabina
title_full Hydrodistillation Extraction Kinetics Regression Models for Essential Oil Yield and Composition in Juniperus virginiana, J. excelsa, and J. sabina
title_fullStr Hydrodistillation Extraction Kinetics Regression Models for Essential Oil Yield and Composition in Juniperus virginiana, J. excelsa, and J. sabina
title_full_unstemmed Hydrodistillation Extraction Kinetics Regression Models for Essential Oil Yield and Composition in Juniperus virginiana, J. excelsa, and J. sabina
title_short Hydrodistillation Extraction Kinetics Regression Models for Essential Oil Yield and Composition in Juniperus virginiana, J. excelsa, and J. sabina
title_sort hydrodistillation extraction kinetics regression models for essential oil yield and composition in juniperus virginiana, j. excelsa, and j. sabina
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429388/
https://www.ncbi.nlm.nih.gov/pubmed/30862073
http://dx.doi.org/10.3390/molecules24050986
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