Extraction optimization for the antioxidants from Nigella sativa seeds using response surface methodology

cris.virtual.author-orcid0000-0002-3438-4386
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid35b740c2-481e-4fc1-8ba0-0a5c4dab441e
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.abstract.enAlthough many studies have explored the bioactive compound content of Nigella sativa (black seed – BS) essential oil, data on the phenolic compound content in the extracts of Nigella sativa seeds gives inconclusive results [1,2,3]. In this study, response surface methodology (RSM) with a central composite plan (CCP) was used for the experimental design and identification of the optimal conditions for maximizing the phenolic content and the antioxidant activity of BS extract. The independent variables were as followed: temperature (22.9–67.1ºC), time (31.7–208.2 min), and methanol concentration in water (5.9–94.1% v/v). Different response variables (total polyphenols – TPC, total flavonoids – TFC and the antioxidant activity – DPPH and TEAC) required different optimal conditions to maximize them. The multi-response optimization was performed to determine the extraction conditions, which would simultaneously ensure the highest phenolic content and the antioxidant activity. The optimal conditions derived from the multi-response desirability function were as followed: 120 min, 56 °C and 50% methanol, giving the TPC = 7.05 mg/g, TFC = 3.05 mg/g, DPPH = 9.04 µmol/g and TEAC = 33.24 µmol/g (with desirability function coefficient = 0.83). Solvent concentration was established as a crucial parameter for the extraction of antioxidants from BS. A quercetin derivative and two derivatives of kaempferol were determined by HPLC (high performance liquid chromatography) analysis of the BS extract at the optimal conditions. The accuracy of the models for all response variables was confirmed by a high correlation coefficient (r = 0.99) between the experimental values and those predicted under optimal conditions.
dc.affiliationWydział Nauk o Żywności i Żywieniu
dc.affiliation.instituteKatedra Zarządzania Jakością i Bezpieczeństwem Żywności
dc.contributor.authorMuzolf-Panek, Małgorzata
dc.contributor.authorGliszczyńska-Świgło, Anna
dc.date.access2026-02-27
dc.date.accessioned2026-03-03T08:08:15Z
dc.date.available2026-03-03T08:08:15Z
dc.date.copyright2022-08-12
dc.date.issued2022
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>Although many studies have explored the bioactive compound content of<jats:italic>Nigella sativa</jats:italic>(black seed – BS) essential oil, data on the phenolic compound content in the extracts of<jats:italic>Nigella sativa</jats:italic>seeds gives inconclusive results [1–3]. In this study, response surface methodology (RSM) with a central composite plan (CCP) was used for the experimental design and identification of the optimal conditions for maximizing the phenolic content and the antioxidant activity of BS extract. The independent variables were as followed: temperature (22.9–67.1ºC), time (31.7–208.2 min), and methanol concentration in water (5.9–94.1% v/v). Different response variables (total polyphenols – TPC, total flavonoids – TFC and the antioxidant activity – DPPH and TEAC) required different optimal conditions to maximize them. The multi-response optimization was performed to determine the extraction conditions, which would simultaneously ensure the highest phenolic content and the antioxidant activity. The optimal conditions derived from the multi-response desirability function were as followed: 120 min, 56 °C and 50% methanol, giving the TPC = 7.05 mg/g, TFC = 3.05 mg/g, DPPH = 9.04 µmol/g and TEAC = 33.24 µmol/g (with desirability function coefficient = 0.83). Solvent concentration was established as a crucial parameter for the extraction of antioxidants from BS. A quercetin derivative and two derivatives of kaempferol were determined by HPLC (high performance liquid chromatography) analysis of the BS extract at the optimal conditions. The accuracy of the models for all response variables was confirmed by a high correlation coefficient (r = 0.99) between the experimental values and those predicted under optimal conditions.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if3,4
dc.description.number6
dc.description.points40
dc.description.versionfinal_published
dc.description.volume16
dc.identifier.doi10.1007/s11694-022-01575-z
dc.identifier.eissn2193-4134
dc.identifier.issn2193-4126
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/7576
dc.identifier.weblinkhttps://link.springer.com/article/10.1007/s11694-022-01575-z
dc.languageen
dc.relation.ispartofJournal of Food Measurement and Characterization
dc.relation.pages4741-4753
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOTHER
dc.subject.enblack seed
dc.subject.enNigella sativa
dc.subject.enextraction optimization
dc.subject.enkaempferol
dc.subject.enquercetin
dc.subject.enresponse surface method
dc.titleExtraction optimization for the antioxidants from Nigella sativa seeds using response surface methodology
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue6
oaire.citation.volume16