Modeling of antiproliferative effects of Salvia officinalis L. essential oil optimized using Box–Behnken design
Imen Kallel
1
,
Ahmed Bayoudh
2
,
Bochra Gargouri
3
,
Lamia Khannous
1
,
Asma Elaguel
1
,
Nidhal Tarhouni
2
,
Saloua Lassoued
3
,
Ezeddine Ben Messaoud
1
,
Bilel Hadrich
2
Publication type: Journal Article
Publication date: 2022-08-01
scimago Q2
wos Q3
SJR: 0.423
CiteScore: 4.3
Impact factor: 1.5
ISSN: 09717811, 09741275
Plant Science
Biotechnology
Agronomy and Crop Science
Abstract
The objectives of this work were to optimize hydro-distillation extraction of Salvia officinalis L. essential oil (SoEO) and to evaluate the in vitro scavenging capacity of the free radicals DPPH·, NO·, ABTS+, and the ability to reduce Fe3+. The optimization of SoEO extraction by hydro-distillation was carried out using the response-surface methodology by Box–Behnken. The cytotoxicity and anti-proliferative capacities were evaluated by measuring cell viability and then modeled. Two human tumor cell lines: MCF-7 and HeLa were involved. The obtained optimal extraction yield was Y = 1.85 g/100 g d.b. The main identified fractions were camphene (23.7%), α-thujone (19.62%), 1,8-cineole (10.6%), viridiflorol (5.9%), borneol (5.72%), β-thujone (5.4%) and caryophyllene (3.83%). Also, SoEO was mostly able to scavenge DPPH· free radical, ABTS+ radical and hydrogen peroxide in an amount dependent manner (IC50 = 0.97, 0.279 and 0.05 mg/mL, respectively). All treated cell lines showed a significant reduction in cell viability in response to the increasing of oil concentration. The cytotoxicity activity against both tumor cell lines MCF-7 and HeLa was considerably important with IC50 = 3.125 and 8.920 μg/mL, respectively. The present work provides a preliminary platform for further investigation of the possible mechanism of S. officinalis essential oils and their individual compounds in cytotoxic and antitumor activities.
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Kallel I. et al. Modeling of antiproliferative effects of Salvia officinalis L. essential oil optimized using Box–Behnken design // Journal of Plant Biochemistry and Biotechnology. 2022.
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Kallel I., Bayoudh A., Gargouri B., Khannous L., Elaguel A., Tarhouni N., Lassoued S., Ben Messaoud E., Hadrich B. Modeling of antiproliferative effects of Salvia officinalis L. essential oil optimized using Box–Behnken design // Journal of Plant Biochemistry and Biotechnology. 2022.
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TY - JOUR
DO - 10.1007/s13562-022-00799-w
UR - https://doi.org/10.1007/s13562-022-00799-w
TI - Modeling of antiproliferative effects of Salvia officinalis L. essential oil optimized using Box–Behnken design
T2 - Journal of Plant Biochemistry and Biotechnology
AU - Kallel, Imen
AU - Bayoudh, Ahmed
AU - Gargouri, Bochra
AU - Khannous, Lamia
AU - Elaguel, Asma
AU - Tarhouni, Nidhal
AU - Lassoued, Saloua
AU - Ben Messaoud, Ezeddine
AU - Hadrich, Bilel
PY - 2022
DA - 2022/08/01
PB - Springer Nature
SN - 0971-7811
SN - 0974-1275
ER -
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@article{2022_Kallel,
author = {Imen Kallel and Ahmed Bayoudh and Bochra Gargouri and Lamia Khannous and Asma Elaguel and Nidhal Tarhouni and Saloua Lassoued and Ezeddine Ben Messaoud and Bilel Hadrich},
title = {Modeling of antiproliferative effects of Salvia officinalis L. essential oil optimized using Box–Behnken design},
journal = {Journal of Plant Biochemistry and Biotechnology},
year = {2022},
publisher = {Springer Nature},
month = {aug},
url = {https://doi.org/10.1007/s13562-022-00799-w},
doi = {10.1007/s13562-022-00799-w}
}