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Empirical Modeling by Active Central Composite Rotatable Design: Orange 16 Dye Biosorption onto Biosorbents Based on Residual Bacterial Lactobacillus sp. Biomass
(1) Background: This research work proposes the ‘passive’ biosorption study of Orange 16 dye onto residual Lactobacillus sp. biomass immobilized in sodium alginate using an experimental modeling design. (2) Methods: It was applied the batch biosorption methodology was applied with a real-time determ...
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Published in: | Separations 2023-04, Vol.10 (5), p.279 |
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description | (1) Background: This research work proposes the ‘passive’ biosorption study of Orange 16 dye onto residual Lactobacillus sp. biomass immobilized in sodium alginate using an experimental modeling design. (2) Methods: It was applied the batch biosorption methodology was applied with a real-time determination of residual dye content and biosorption efficiency (Y, %). Empirical planning was used based on an active central composite rotatable design of 23 order in which three independent variables were considered, including residual biomass concentration (2.92–13.00 g/L, mean granule size of 0.7–1.0 mm) (X1), temperature (8–42 °C) (X2) and biosorption time (4–24 h) (X3), in association with the considered dependent variable (Y). The proposed mathematical model was validated using a few statistical tools. (3) Results: The batch biosorption experiments were permitted to propose a mathematical model considering a basic value and variation step for each selected independent variable and then to validate it. The maximum experimental dye removal was 79.98% when 11 g/L immobilized biosorbent was applied in an 89.76 mg/L dye-containing solution at 15 °C and 20 h. The significance of each independent variable on dye removal was investigated and, most importantly, explained. (4) Conclusions: The residual Lactobacillus sp. biomass can be applied as an alternative biosorbent for anionic dye removal from an aqueous solution. |
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Biomass</title><source>Publicly Available Content Database</source><creator>Zaharia, Carmen ; Suteu, Daniela</creator><creatorcontrib>Zaharia, Carmen ; Suteu, Daniela</creatorcontrib><description>(1) Background: This research work proposes the ‘passive’ biosorption study of Orange 16 dye onto residual Lactobacillus sp. biomass immobilized in sodium alginate using an experimental modeling design. (2) Methods: It was applied the batch biosorption methodology was applied with a real-time determination of residual dye content and biosorption efficiency (Y, %). Empirical planning was used based on an active central composite rotatable design of 23 order in which three independent variables were considered, including residual biomass concentration (2.92–13.00 g/L, mean granule size of 0.7–1.0 mm) (X1), temperature (8–42 °C) (X2) and biosorption time (4–24 h) (X3), in association with the considered dependent variable (Y). The proposed mathematical model was validated using a few statistical tools. (3) Results: The batch biosorption experiments were permitted to propose a mathematical model considering a basic value and variation step for each selected independent variable and then to validate it. The maximum experimental dye removal was 79.98% when 11 g/L immobilized biosorbent was applied in an 89.76 mg/L dye-containing solution at 15 °C and 20 h. The significance of each independent variable on dye removal was investigated and, most importantly, explained. (4) Conclusions: The residual Lactobacillus sp. biomass can be applied as an alternative biosorbent for anionic dye removal from an aqueous solution.</description><identifier>ISSN: 2297-8739</identifier><identifier>EISSN: 2297-8739</identifier><identifier>DOI: 10.3390/separations10050279</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>active central composite rotatable design ; Adsorption ; anionic Orange 16 reactive dye ; Aqueous solutions ; Biomass ; biosorption ; Dependent variables ; dye removal ; Dyes ; Efficiency ; empirical modeling ; Equilibrium ; immobilized residual Lactobacillus sp. biomass in sodium alginate ; Independent variables ; Laboratories ; Mathematical models ; Optimization ; Pollutants ; Sodium ; Sodium alginate</subject><ispartof>Separations, 2023-04, Vol.10 (5), p.279</ispartof><rights>2023 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 (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c338t-25659b910fe8ae0243361a7c4e284ffbebb2a8544a7d001299c633964c25bc5e3</cites><orcidid>0000-0003-3524-5051</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2819482644/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2819482644?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Zaharia, Carmen</creatorcontrib><creatorcontrib>Suteu, Daniela</creatorcontrib><title>Empirical Modeling by Active Central Composite Rotatable Design: Orange 16 Dye Biosorption onto Biosorbents Based on Residual Bacterial Lactobacillus sp. Biomass</title><title>Separations</title><description>(1) Background: This research work proposes the ‘passive’ biosorption study of Orange 16 dye onto residual Lactobacillus sp. biomass immobilized in sodium alginate using an experimental modeling design. (2) Methods: It was applied the batch biosorption methodology was applied with a real-time determination of residual dye content and biosorption efficiency (Y, %). Empirical planning was used based on an active central composite rotatable design of 23 order in which three independent variables were considered, including residual biomass concentration (2.92–13.00 g/L, mean granule size of 0.7–1.0 mm) (X1), temperature (8–42 °C) (X2) and biosorption time (4–24 h) (X3), in association with the considered dependent variable (Y). The proposed mathematical model was validated using a few statistical tools. (3) Results: The batch biosorption experiments were permitted to propose a mathematical model considering a basic value and variation step for each selected independent variable and then to validate it. The maximum experimental dye removal was 79.98% when 11 g/L immobilized biosorbent was applied in an 89.76 mg/L dye-containing solution at 15 °C and 20 h. The significance of each independent variable on dye removal was investigated and, most importantly, explained. (4) Conclusions: The residual Lactobacillus sp. biomass can be applied as an alternative biosorbent for anionic dye removal from an aqueous solution.</description><subject>active central composite rotatable design</subject><subject>Adsorption</subject><subject>anionic Orange 16 reactive dye</subject><subject>Aqueous solutions</subject><subject>Biomass</subject><subject>biosorption</subject><subject>Dependent variables</subject><subject>dye removal</subject><subject>Dyes</subject><subject>Efficiency</subject><subject>empirical modeling</subject><subject>Equilibrium</subject><subject>immobilized residual Lactobacillus sp. biomass in sodium alginate</subject><subject>Independent variables</subject><subject>Laboratories</subject><subject>Mathematical models</subject><subject>Optimization</subject><subject>Pollutants</subject><subject>Sodium</subject><subject>Sodium alginate</subject><issn>2297-8739</issn><issn>2297-8739</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkc9KJDEQxptFYUV9gr0EPI_mX6c73pzR3RVGBHHPoZKuHjL0dNokI8zj-KabcUQ8eKqPL1W_qlRV1S9GL4XQ9CrhBBGyD2NilNaUN_pHdcK5bmZtI_TRF_2zOk9pTSlljVCK8ZPq7W4z-egdDOQhdDj4cUXsjty47F-RLHDMsTwtwmYKyWckTyFDBjsgucXkV-M1eYwwrpAwRW53SOY-pBCn_TQkjDl8GLaAEplDwq7Y5KnUdtsCnoPLGH1Ry6KCBeeHYZtImi73lRtI6aw67mFIeP4RT6t_v--eF39ny8c_94ub5cwJ0eYZr1WtrWa0xxaQcimEYtA4ibyVfW_RWg5tLSU0Xfk_19qpsj4lHa-tq1GcVvcHbhdgbaboNxB3JoA370aIKwMxezegYR1jrqu5VhykbZS2tlBcW_O-kUqrwro4sKYYXraYslmHbRzL-Ia3TMuWKylLljhkuRhSith_dmXU7E9rvjmt-A8MEZsb</recordid><startdate>20230425</startdate><enddate>20230425</enddate><creator>Zaharia, Carmen</creator><creator>Suteu, Daniela</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>L7M</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3524-5051</orcidid></search><sort><creationdate>20230425</creationdate><title>Empirical Modeling by Active Central Composite Rotatable Design: Orange 16 Dye Biosorption onto Biosorbents Based on Residual Bacterial Lactobacillus sp. Biomass</title><author>Zaharia, Carmen ; Suteu, Daniela</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-25659b910fe8ae0243361a7c4e284ffbebb2a8544a7d001299c633964c25bc5e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>active central composite rotatable design</topic><topic>Adsorption</topic><topic>anionic Orange 16 reactive dye</topic><topic>Aqueous solutions</topic><topic>Biomass</topic><topic>biosorption</topic><topic>Dependent variables</topic><topic>dye removal</topic><topic>Dyes</topic><topic>Efficiency</topic><topic>empirical modeling</topic><topic>Equilibrium</topic><topic>immobilized residual Lactobacillus sp. biomass in sodium alginate</topic><topic>Independent variables</topic><topic>Laboratories</topic><topic>Mathematical models</topic><topic>Optimization</topic><topic>Pollutants</topic><topic>Sodium</topic><topic>Sodium alginate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zaharia, Carmen</creatorcontrib><creatorcontrib>Suteu, Daniela</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Materials science collection</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>DOAJ Directory of Open Access Journals</collection><jtitle>Separations</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zaharia, Carmen</au><au>Suteu, Daniela</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Empirical Modeling by Active Central Composite Rotatable Design: Orange 16 Dye Biosorption onto Biosorbents Based on Residual Bacterial Lactobacillus sp. Biomass</atitle><jtitle>Separations</jtitle><date>2023-04-25</date><risdate>2023</risdate><volume>10</volume><issue>5</issue><spage>279</spage><pages>279-</pages><issn>2297-8739</issn><eissn>2297-8739</eissn><abstract>(1) Background: This research work proposes the ‘passive’ biosorption study of Orange 16 dye onto residual Lactobacillus sp. biomass immobilized in sodium alginate using an experimental modeling design. (2) Methods: It was applied the batch biosorption methodology was applied with a real-time determination of residual dye content and biosorption efficiency (Y, %). Empirical planning was used based on an active central composite rotatable design of 23 order in which three independent variables were considered, including residual biomass concentration (2.92–13.00 g/L, mean granule size of 0.7–1.0 mm) (X1), temperature (8–42 °C) (X2) and biosorption time (4–24 h) (X3), in association with the considered dependent variable (Y). The proposed mathematical model was validated using a few statistical tools. (3) Results: The batch biosorption experiments were permitted to propose a mathematical model considering a basic value and variation step for each selected independent variable and then to validate it. The maximum experimental dye removal was 79.98% when 11 g/L immobilized biosorbent was applied in an 89.76 mg/L dye-containing solution at 15 °C and 20 h. The significance of each independent variable on dye removal was investigated and, most importantly, explained. (4) Conclusions: The residual Lactobacillus sp. biomass can be applied as an alternative biosorbent for anionic dye removal from an aqueous solution.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/separations10050279</doi><orcidid>https://orcid.org/0000-0003-3524-5051</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | active central composite rotatable design Adsorption anionic Orange 16 reactive dye Aqueous solutions Biomass biosorption Dependent variables dye removal Dyes Efficiency empirical modeling Equilibrium immobilized residual Lactobacillus sp. biomass in sodium alginate Independent variables Laboratories Mathematical models Optimization Pollutants Sodium Sodium alginate |
title | Empirical Modeling by Active Central Composite Rotatable Design: Orange 16 Dye Biosorption onto Biosorbents Based on Residual Bacterial Lactobacillus sp. Biomass |
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