{"title":"利用响应面法优化电渗析法去除掺杂 NH4Cl 的地下水样本中的氨。","authors":"Mohamed Hazra, Fatima Zahra Addar, Mustapha Tahaikt, Azzedine Elmidaoui, Mohamed Taky, Sakina Belhamidi","doi":"10.1002/open.202400163","DOIUrl":null,"url":null,"abstract":"<p><p>This study aims to optimize ammonium removal from NH<sub>4</sub>Cl-enriched groundwater at different concentrations using an electrodialysis (ED) process. A customized design (CD) based on response surface methodology (RSM) was employed to develop predictive models and improve the performance of the demineralization system. Ion removal efficiency was evaluated in 32 unique experimental configurations, taking into account variations in three input parameters: voltage (A), initial ammonium concentration (B) and demineralization rate (C). These parameters were selected for their impact on two response variables: electric conductivity (Y<sub>1</sub>) and final ammonium concentration (Y<sub>2</sub>). An in-depth analysis of variance (ANOVA) was performed to examine the variables and their interactions. The results indicated that Y<sub>1</sub> was significantly influenced by C, while Y<sub>2</sub> was influenced by B. In addition, the predictive models demonstrated strong correlations, with a coefficient of determination (R<sup>2</sup>) greater than 0.88 for both response variables. The RSM approach applied to optimize the parameters studied identified the following optimum values: 14.17 V for A, 1 mg/L for B and 70 % for C, giving Y<sub>1</sub> of 215.377 μS/cm and Y<sub>2</sub> of 0.279 mg/L.</p>","PeriodicalId":9831,"journal":{"name":"ChemistryOpen","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of Electrodialysis for Ammonium Removal From NH<sub>4</sub>Cl-Doped Groundwater Samples Using the Response Surface Method.\",\"authors\":\"Mohamed Hazra, Fatima Zahra Addar, Mustapha Tahaikt, Azzedine Elmidaoui, Mohamed Taky, Sakina Belhamidi\",\"doi\":\"10.1002/open.202400163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aims to optimize ammonium removal from NH<sub>4</sub>Cl-enriched groundwater at different concentrations using an electrodialysis (ED) process. A customized design (CD) based on response surface methodology (RSM) was employed to develop predictive models and improve the performance of the demineralization system. Ion removal efficiency was evaluated in 32 unique experimental configurations, taking into account variations in three input parameters: voltage (A), initial ammonium concentration (B) and demineralization rate (C). These parameters were selected for their impact on two response variables: electric conductivity (Y<sub>1</sub>) and final ammonium concentration (Y<sub>2</sub>). An in-depth analysis of variance (ANOVA) was performed to examine the variables and their interactions. The results indicated that Y<sub>1</sub> was significantly influenced by C, while Y<sub>2</sub> was influenced by B. In addition, the predictive models demonstrated strong correlations, with a coefficient of determination (R<sup>2</sup>) greater than 0.88 for both response variables. The RSM approach applied to optimize the parameters studied identified the following optimum values: 14.17 V for A, 1 mg/L for B and 70 % for C, giving Y<sub>1</sub> of 215.377 μS/cm and Y<sub>2</sub> of 0.279 mg/L.</p>\",\"PeriodicalId\":9831,\"journal\":{\"name\":\"ChemistryOpen\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ChemistryOpen\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1002/open.202400163\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ChemistryOpen","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1002/open.202400163","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Optimization of Electrodialysis for Ammonium Removal From NH4Cl-Doped Groundwater Samples Using the Response Surface Method.
This study aims to optimize ammonium removal from NH4Cl-enriched groundwater at different concentrations using an electrodialysis (ED) process. A customized design (CD) based on response surface methodology (RSM) was employed to develop predictive models and improve the performance of the demineralization system. Ion removal efficiency was evaluated in 32 unique experimental configurations, taking into account variations in three input parameters: voltage (A), initial ammonium concentration (B) and demineralization rate (C). These parameters were selected for their impact on two response variables: electric conductivity (Y1) and final ammonium concentration (Y2). An in-depth analysis of variance (ANOVA) was performed to examine the variables and their interactions. The results indicated that Y1 was significantly influenced by C, while Y2 was influenced by B. In addition, the predictive models demonstrated strong correlations, with a coefficient of determination (R2) greater than 0.88 for both response variables. The RSM approach applied to optimize the parameters studied identified the following optimum values: 14.17 V for A, 1 mg/L for B and 70 % for C, giving Y1 of 215.377 μS/cm and Y2 of 0.279 mg/L.
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