Optimization of microwave drying conditions of two banana varieties using response surface methodology
AbstractOptimization of microwave drying conditions of Luvhele and Mabonde banana varieties were studied using response surface methodology. The drying was performed using a central composite rotatable design for two variables: microwave power level (100, 200 and 300 W) and drying time (40, 26, and...
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Veröffentlicht in: | Ciência e tecnologia de alimentos 2015-07, Vol.35 (3), p.438-444 |
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description | AbstractOptimization of microwave drying conditions of Luvhele and Mabonde banana varieties were studied using response surface methodology. The drying was performed using a central composite rotatable design for two variables: microwave power level (100, 200 and 300 W) and drying time (40, 26, and 12 min.) for Luvhele; (100, 200 and 300 W) and (42, 27, and 12 min) for Mabonde. The colour and texture (hardness) data were analyzed using ANOVA and regression analysis. The fitness of the models obtained was good as the lack of fit for each of the models was not significant. The coefficient of determination R2 of the models was relatively high, hence the models obtained for the responses were adequate and acceptable. Drying conditions of 178.76 W, 12 min. drying time were found optimum for product quality at a desirability of 0.91 for Luvhele; while 127.67 W, 12 min. with a desirability of 0.86 was predicted for Mabonde. The result of this study could be used as a standard for microwave processing of Luvhele and Mabondebanana varieties. |
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The drying was performed using a central composite rotatable design for two variables: microwave power level (100, 200 and 300 W) and drying time (40, 26, and 12 min.) for Luvhele; (100, 200 and 300 W) and (42, 27, and 12 min) for Mabonde. The colour and texture (hardness) data were analyzed using ANOVA and regression analysis. The fitness of the models obtained was good as the lack of fit for each of the models was not significant. The coefficient of determination R2 of the models was relatively high, hence the models obtained for the responses were adequate and acceptable. Drying conditions of 178.76 W, 12 min. drying time were found optimum for product quality at a desirability of 0.91 for Luvhele; while 127.67 W, 12 min. with a desirability of 0.86 was predicted for Mabonde. The result of this study could be used as a standard for microwave processing of Luvhele and Mabondebanana varieties.</description><identifier>ISSN: 0101-2061</identifier><identifier>ISSN: 1678-457X</identifier><identifier>EISSN: 1678-457X</identifier><identifier>DOI: 10.1590/1678-457X.6700</identifier><language>eng</language><publisher>Sociedade Brasileira de Ciência e Tecnologia de Alimentos</publisher><subject>FOOD SCIENCE & TECHNOLOGY</subject><ispartof>Ciência e tecnologia de alimentos, 2015-07, Vol.35 (3), p.438-444</ispartof><rights>This work is licensed under a Creative Commons Attribution 4.0 International License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c318t-386b3b47be9cfd0682589f2776fbbc369948b8092a13a60b89b286797ea6d4a73</citedby><cites>FETCH-LOGICAL-c318t-386b3b47be9cfd0682589f2776fbbc369948b8092a13a60b89b286797ea6d4a73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids></links><search><creatorcontrib>Omolola, Adewale Olusegun</creatorcontrib><creatorcontrib>Jideani, Afam Israel Obiefuna</creatorcontrib><creatorcontrib>Kapila, Patrick Francis</creatorcontrib><creatorcontrib>Jideani, Victoria Adaora</creatorcontrib><title>Optimization of microwave drying conditions of two banana varieties using response surface methodology</title><title>Ciência e tecnologia de alimentos</title><addtitle>Food Sci. Technol</addtitle><description>AbstractOptimization of microwave drying conditions of Luvhele and Mabonde banana varieties were studied using response surface methodology. The drying was performed using a central composite rotatable design for two variables: microwave power level (100, 200 and 300 W) and drying time (40, 26, and 12 min.) for Luvhele; (100, 200 and 300 W) and (42, 27, and 12 min) for Mabonde. The colour and texture (hardness) data were analyzed using ANOVA and regression analysis. The fitness of the models obtained was good as the lack of fit for each of the models was not significant. The coefficient of determination R2 of the models was relatively high, hence the models obtained for the responses were adequate and acceptable. Drying conditions of 178.76 W, 12 min. drying time were found optimum for product quality at a desirability of 0.91 for Luvhele; while 127.67 W, 12 min. with a desirability of 0.86 was predicted for Mabonde. The result of this study could be used as a standard for microwave processing of Luvhele and Mabondebanana varieties.</description><subject>FOOD SCIENCE & TECHNOLOGY</subject><issn>0101-2061</issn><issn>1678-457X</issn><issn>1678-457X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNpFkE1LAzEQhoMoWKtXz_kDu042u_k4SvELCj2o4C0ku0lN6W5Ksm2pv94NijKHgXnfmZd5ELolUJJGwh1hXBR1wz9KxgHO0OxvcI5mQIAUFTByia5S2gBUnNZ0htxqN_ref-nRhwEHh3vfxnDUB4u7ePLDGrdh6HxWU5bHY8BGD1Phg47ejt4mvE_ZGG3aTS6L0z463Vrc2_EzdGEb1qdrdOH0Ntmb3z5H748Pb4vnYrl6elncL4uWEjEWVDBDTc2Nla3rgImqEdJVnDNnTEuZlLUwAmSlCdUMjJCmEoxLbjXras3pHJU_d1Pr7TaoTdjHYQpUrxmAygAqIA0AUICaiv-F6euUonVqF32v40kRUBmryhRVpqgyVvoNs1RqQA</recordid><startdate>20150701</startdate><enddate>20150701</enddate><creator>Omolola, Adewale Olusegun</creator><creator>Jideani, Afam Israel Obiefuna</creator><creator>Kapila, Patrick Francis</creator><creator>Jideani, Victoria Adaora</creator><general>Sociedade Brasileira de Ciência e Tecnologia de Alimentos</general><scope>AAYXX</scope><scope>CITATION</scope><scope>GPN</scope></search><sort><creationdate>20150701</creationdate><title>Optimization of microwave drying conditions of two banana varieties using response surface methodology</title><author>Omolola, Adewale Olusegun ; Jideani, Afam Israel Obiefuna ; Kapila, Patrick Francis ; Jideani, Victoria Adaora</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c318t-386b3b47be9cfd0682589f2776fbbc369948b8092a13a60b89b286797ea6d4a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>FOOD SCIENCE & TECHNOLOGY</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Omolola, Adewale Olusegun</creatorcontrib><creatorcontrib>Jideani, Afam Israel Obiefuna</creatorcontrib><creatorcontrib>Kapila, Patrick Francis</creatorcontrib><creatorcontrib>Jideani, Victoria Adaora</creatorcontrib><collection>CrossRef</collection><collection>SciELO</collection><jtitle>Ciência e tecnologia de alimentos</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Omolola, Adewale Olusegun</au><au>Jideani, Afam Israel Obiefuna</au><au>Kapila, Patrick Francis</au><au>Jideani, Victoria Adaora</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of microwave drying conditions of two banana varieties using response surface methodology</atitle><jtitle>Ciência e tecnologia de alimentos</jtitle><addtitle>Food Sci. 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Drying conditions of 178.76 W, 12 min. drying time were found optimum for product quality at a desirability of 0.91 for Luvhele; while 127.67 W, 12 min. with a desirability of 0.86 was predicted for Mabonde. The result of this study could be used as a standard for microwave processing of Luvhele and Mabondebanana varieties.</abstract><pub>Sociedade Brasileira de Ciência e Tecnologia de Alimentos</pub><doi>10.1590/1678-457X.6700</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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title | Optimization of microwave drying conditions of two banana varieties using response surface methodology |
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