{"title":"Application of Response Surface Methodology (RSM) for Optimization of Cd (II) Uptake by Saccharomyces Cerevisiae Biomass","authors":"Cao Qun, Zhou Benjun","doi":"10.12783/ISSN.1544-8053/14/1/36","DOIUrl":null,"url":null,"abstract":"In present study, Response Surface Methodology (RSM) was used to optimize Cd (II) uptake by Saccharomyces cerevisiae biomass, the prediction model for Cd (II) uptake capacity using S. cerevisiae biomass was developed, and the analysis of variance (ANOVA) implied the model was significant. The maximum absorbing capacity of 22.05 mg/g was predicted at 30 mg/L Cd (II), 0.8 g/L biomass, 28.57°C, pH 5.51 and 3.0 h of contact time using the desirability function. Both Langmuir and Freundlich equations are suitable for describing biosorption isotherm.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"45 1","pages":"311-317"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Residuals Science & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/ISSN.1544-8053/14/1/36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In present study, Response Surface Methodology (RSM) was used to optimize Cd (II) uptake by Saccharomyces cerevisiae biomass, the prediction model for Cd (II) uptake capacity using S. cerevisiae biomass was developed, and the analysis of variance (ANOVA) implied the model was significant. The maximum absorbing capacity of 22.05 mg/g was predicted at 30 mg/L Cd (II), 0.8 g/L biomass, 28.57°C, pH 5.51 and 3.0 h of contact time using the desirability function. Both Langmuir and Freundlich equations are suitable for describing biosorption isotherm.
期刊介绍：
The international Journal of Residuals Science & Technology (JRST) is a blind-refereed quarterly devoted to conscientious analysis and commentary regarding significant environmental sciences-oriented research and technical management of residuals in the environment. The journal provides a forum for scientific investigations addressing contamination within environmental media of air, water, soil, and biota and also offers studies exploring source, fate, transport, and ecological effects of environmental contamination.
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