Optimization of ultrasound-assisted extraction of total phenolic contents and antioxidant activity using response surface methodology from jujube leaves (Ziziphus jujuba) and evaluation of anticholinesterase inhibitory activity
An ultrasound-assisted procedure for the extraction of phenolics (TPC) and antioxidant activity (AA) from jujube leaves have been investigated using response surface methodology (RSM). The Box–Behnken design was used to investigate the effects of three independent variables, solvent concentration (m...
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| Veröffentlicht in: | Journal of food measurement & characterization 2019-03, Vol.13 (1), p.321-329 |
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| creator | Zemouri-Alioui, Salima Bachir bey, Mostapha Kurt, Belma Zengin Sonmez, Fatih Louaileche, Hayette |
| description | An ultrasound-assisted procedure for the extraction of phenolics (TPC) and antioxidant activity (AA) from jujube leaves have been investigated using response surface methodology (RSM). The Box–Behnken design was used to investigate the effects of three independent variables, solvent concentration (methanol/water; 40–100%), ultrasound-intensity (20–100%), and extraction time (3–15 min) on the responses. The optimal extraction conditions were 64.20% methanol, 73.60% ultrasound intensity, and 13.27 min. Under optimal conditions, the corresponding experimental values for TPC and AA were 6098.14 mg GAE/100 g DM and 4010.63 mg AAE/100 g DM. The experimental values were in close agreement with those predicted values within a 99% confidence level, thus indicating the suitability of the model and the success of RSM in optimizing the ultrasound assisted extraction of TPC and AA of jujube leaves. The results showed that optimized jujube leaves extract exhibited inhibitory effects on both acetylcholinesterase and butyrylcholinesterase with IC
50
of 62.30 ± 2.54 and 147.00 ± 2.31 µg/mL, respectively. |
| doi_str_mv | 10.1007/s11694-018-9947-5 |
| format | Article |
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50
of 62.30 ± 2.54 and 147.00 ± 2.31 µg/mL, respectively.</description><identifier>ISSN: 2193-4126</identifier><identifier>EISSN: 2193-4134</identifier><identifier>DOI: 10.1007/s11694-018-9947-5</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Acetylcholinesterase ; Antioxidants ; Chemistry ; Chemistry and Materials Science ; Chemistry/Food Science ; Confidence intervals ; Engineering ; Food Science ; Independent variables ; Methanol ; Optimization ; Original Paper ; Phenolic compounds ; Phenols ; Response surface methodology ; Ultrasonic imaging ; Ultrasonic testing ; Ultrasound ; Ziziphus jujuba</subject><ispartof>Journal of food measurement & characterization, 2019-03, Vol.13 (1), p.321-329</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-790573740a371e089e54787ff9b090d6ba2e35410a0cd59b203fa8ff6581a2f83</citedby><cites>FETCH-LOGICAL-c316t-790573740a371e089e54787ff9b090d6ba2e35410a0cd59b203fa8ff6581a2f83</cites><orcidid>0000-0002-9987-1505</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11694-018-9947-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11694-018-9947-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27925,27926,41489,42558,51320</link.rule.ids></links><search><creatorcontrib>Zemouri-Alioui, Salima</creatorcontrib><creatorcontrib>Bachir bey, Mostapha</creatorcontrib><creatorcontrib>Kurt, Belma Zengin</creatorcontrib><creatorcontrib>Sonmez, Fatih</creatorcontrib><creatorcontrib>Louaileche, Hayette</creatorcontrib><title>Optimization of ultrasound-assisted extraction of total phenolic contents and antioxidant activity using response surface methodology from jujube leaves (Ziziphus jujuba) and evaluation of anticholinesterase inhibitory activity</title><title>Journal of food measurement & characterization</title><addtitle>Food Measure</addtitle><description>An ultrasound-assisted procedure for the extraction of phenolics (TPC) and antioxidant activity (AA) from jujube leaves have been investigated using response surface methodology (RSM). The Box–Behnken design was used to investigate the effects of three independent variables, solvent concentration (methanol/water; 40–100%), ultrasound-intensity (20–100%), and extraction time (3–15 min) on the responses. The optimal extraction conditions were 64.20% methanol, 73.60% ultrasound intensity, and 13.27 min. Under optimal conditions, the corresponding experimental values for TPC and AA were 6098.14 mg GAE/100 g DM and 4010.63 mg AAE/100 g DM. The experimental values were in close agreement with those predicted values within a 99% confidence level, thus indicating the suitability of the model and the success of RSM in optimizing the ultrasound assisted extraction of TPC and AA of jujube leaves. The results showed that optimized jujube leaves extract exhibited inhibitory effects on both acetylcholinesterase and butyrylcholinesterase with IC
50
of 62.30 ± 2.54 and 147.00 ± 2.31 µg/mL, respectively.</description><subject>Acetylcholinesterase</subject><subject>Antioxidants</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Chemistry/Food Science</subject><subject>Confidence intervals</subject><subject>Engineering</subject><subject>Food Science</subject><subject>Independent variables</subject><subject>Methanol</subject><subject>Optimization</subject><subject>Original Paper</subject><subject>Phenolic compounds</subject><subject>Phenols</subject><subject>Response surface methodology</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonic testing</subject><subject>Ultrasound</subject><subject>Ziziphus jujuba</subject><issn>2193-4126</issn><issn>2193-4134</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kc1q3DAUhU1pICHNA2Qn6KZduJUsybKWJfQPAtm0m26EbF-NNXgkVz9DJq_bF6kct9NVF-KKyzn3fHCq6pbgdwRj8T4S0kpWY9LVUjJR8xfVVUMkrRmh7OX537SX1U2Me4wxIYKxll5Vvx6WZA_2SSfrHfIG5TkFHX12Y61jtDHBiOCx7Ia_iuSTntEygfOzHdDgXQKXItJuLK-oHu1YJlodR5tOKEfrdihAXLyLgGIORg-ADpAmP_rZ707IBH9A-7zPPaAZ9BEievPDPtllynHb67fPAXDUcz7DrnHDVDAcFNDCDci6yfY2-XA6A7yqLoyeI9z8mdfV908fv919qe8fPn-9-3BfD5S0qRYSc0EFw5oKAriTwJnohDGyxxKPba8boJwRrPEwctk3mBrdGdPyjujGdPS6er3dXYL_mQuR2vscXIlUFIuu5RRzXlRkUw3BxxjAqCXYgw4nRbBa61RbnarUqdY61eppNk8sWreD8O_y_02_AaU9qqQ</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Zemouri-Alioui, Salima</creator><creator>Bachir bey, Mostapha</creator><creator>Kurt, Belma Zengin</creator><creator>Sonmez, Fatih</creator><creator>Louaileche, Hayette</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-9987-1505</orcidid></search><sort><creationdate>20190301</creationdate><title>Optimization of ultrasound-assisted extraction of total phenolic contents and antioxidant activity using response surface methodology from jujube leaves (Ziziphus jujuba) and evaluation of anticholinesterase inhibitory activity</title><author>Zemouri-Alioui, Salima ; Bachir bey, Mostapha ; Kurt, Belma Zengin ; Sonmez, Fatih ; Louaileche, Hayette</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-790573740a371e089e54787ff9b090d6ba2e35410a0cd59b203fa8ff6581a2f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acetylcholinesterase</topic><topic>Antioxidants</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Chemistry/Food Science</topic><topic>Confidence intervals</topic><topic>Engineering</topic><topic>Food Science</topic><topic>Independent variables</topic><topic>Methanol</topic><topic>Optimization</topic><topic>Original Paper</topic><topic>Phenolic compounds</topic><topic>Phenols</topic><topic>Response surface methodology</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonic testing</topic><topic>Ultrasound</topic><topic>Ziziphus jujuba</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zemouri-Alioui, Salima</creatorcontrib><creatorcontrib>Bachir bey, Mostapha</creatorcontrib><creatorcontrib>Kurt, Belma Zengin</creatorcontrib><creatorcontrib>Sonmez, Fatih</creatorcontrib><creatorcontrib>Louaileche, Hayette</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Journal of food measurement & characterization</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zemouri-Alioui, Salima</au><au>Bachir bey, Mostapha</au><au>Kurt, Belma Zengin</au><au>Sonmez, Fatih</au><au>Louaileche, Hayette</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of ultrasound-assisted extraction of total phenolic contents and antioxidant activity using response surface methodology from jujube leaves (Ziziphus jujuba) and evaluation of anticholinesterase inhibitory activity</atitle><jtitle>Journal of food measurement & characterization</jtitle><stitle>Food Measure</stitle><date>2019-03-01</date><risdate>2019</risdate><volume>13</volume><issue>1</issue><spage>321</spage><epage>329</epage><pages>321-329</pages><issn>2193-4126</issn><eissn>2193-4134</eissn><abstract>An ultrasound-assisted procedure for the extraction of phenolics (TPC) and antioxidant activity (AA) from jujube leaves have been investigated using response surface methodology (RSM). The Box–Behnken design was used to investigate the effects of three independent variables, solvent concentration (methanol/water; 40–100%), ultrasound-intensity (20–100%), and extraction time (3–15 min) on the responses. The optimal extraction conditions were 64.20% methanol, 73.60% ultrasound intensity, and 13.27 min. Under optimal conditions, the corresponding experimental values for TPC and AA were 6098.14 mg GAE/100 g DM and 4010.63 mg AAE/100 g DM. The experimental values were in close agreement with those predicted values within a 99% confidence level, thus indicating the suitability of the model and the success of RSM in optimizing the ultrasound assisted extraction of TPC and AA of jujube leaves. The results showed that optimized jujube leaves extract exhibited inhibitory effects on both acetylcholinesterase and butyrylcholinesterase with IC
50
of 62.30 ± 2.54 and 147.00 ± 2.31 µg/mL, respectively.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11694-018-9947-5</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-9987-1505</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Acetylcholinesterase Antioxidants Chemistry Chemistry and Materials Science Chemistry/Food Science Confidence intervals Engineering Food Science Independent variables Methanol Optimization Original Paper Phenolic compounds Phenols Response surface methodology Ultrasonic imaging Ultrasonic testing Ultrasound Ziziphus jujuba |
| title | Optimization of ultrasound-assisted extraction of total phenolic contents and antioxidant activity using response surface methodology from jujube leaves (Ziziphus jujuba) and evaluation of anticholinesterase inhibitory activity |
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