{"title":"固定床柱系统中多壁碳纳米管去除阿奇霉素的M5模型树评价","authors":"M. Amiri, M. Bahrami, Sara Rajabi","doi":"10.2166/aqua.2022.157","DOIUrl":null,"url":null,"abstract":"\n In this research, an M5 model tree is employed for the prediction of removal efficiency of azithromycin antibiotics by multi-wall carbon nanotubes (MWCNTs), based on experimental data sets from a laboratory column mode. The effect of total flow time (0–260 min), influent flow rates (0.5, 1, and 1.5 mL min−1), bed depths (2, 4, and 6 cm), initial azithromycin concentrations (25, 50, and 100 mg L−1), and pHs (2, 4, 6, 8, and 10) was considered in the adsorption process. Based on the obtained structures, three linear equations (LM, LM2, and LM3) were developed. The root mean square error (RMSE) of 9.89% and determination coefficient (R2) of 0.946 were determined for predicting azithromycin removal by the M5 model tree. The results indicated that contact time was more important in the adsorption process, relative to other operating conditions. This research showed that the M5 model tree could be an accurate and faster alternative to the available mathematical models to estimate removal rates of pollutants. The results obtained from the FTIR technique confirmed that the O–H groups on the MWCNTs surface have an important role in azithromycin adsorption.","PeriodicalId":17666,"journal":{"name":"Journal of Water Supply: Research and Technology-Aqua","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Assessment of M5 model tree for prediction of azithromycin antibiotic removal by multi-wall carbon nanotubes in a fixed-bed column system\",\"authors\":\"M. Amiri, M. Bahrami, Sara Rajabi\",\"doi\":\"10.2166/aqua.2022.157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n In this research, an M5 model tree is employed for the prediction of removal efficiency of azithromycin antibiotics by multi-wall carbon nanotubes (MWCNTs), based on experimental data sets from a laboratory column mode. The effect of total flow time (0–260 min), influent flow rates (0.5, 1, and 1.5 mL min−1), bed depths (2, 4, and 6 cm), initial azithromycin concentrations (25, 50, and 100 mg L−1), and pHs (2, 4, 6, 8, and 10) was considered in the adsorption process. Based on the obtained structures, three linear equations (LM, LM2, and LM3) were developed. The root mean square error (RMSE) of 9.89% and determination coefficient (R2) of 0.946 were determined for predicting azithromycin removal by the M5 model tree. The results indicated that contact time was more important in the adsorption process, relative to other operating conditions. This research showed that the M5 model tree could be an accurate and faster alternative to the available mathematical models to estimate removal rates of pollutants. The results obtained from the FTIR technique confirmed that the O–H groups on the MWCNTs surface have an important role in azithromycin adsorption.\",\"PeriodicalId\":17666,\"journal\":{\"name\":\"Journal of Water Supply: Research and Technology-Aqua\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Water Supply: Research and Technology-Aqua\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2166/aqua.2022.157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Water Supply: Research and Technology-Aqua","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2166/aqua.2022.157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
本研究基于实验室柱模式的实验数据集,采用M5模型树预测多壁碳纳米管(MWCNTs)对阿奇霉素类抗生素的去除效率。在吸附过程中考虑了总流动时间(0-260 min)、进水流速(0.5、1和1.5 mL min - 1)、床层深度(2、4和6 cm)、初始阿奇霉素浓度(25、50和100 mg L - 1)和ph值(2、4、6、8和10)的影响。在此基础上,建立了LM、LM2和LM3三个线性方程。M5模型树预测阿奇霉素去除率的均方根误差(RMSE)为9.89%,决定系数(R2)为0.946。结果表明,相对于其他操作条件,接触时间在吸附过程中更为重要。这项研究表明,M5模型树可以是一个准确和更快的替代现有的数学模型来估计污染物的去除率。FTIR技术的结果证实了MWCNTs表面的O-H基团对阿奇霉素的吸附有重要作用。
Assessment of M5 model tree for prediction of azithromycin antibiotic removal by multi-wall carbon nanotubes in a fixed-bed column system
In this research, an M5 model tree is employed for the prediction of removal efficiency of azithromycin antibiotics by multi-wall carbon nanotubes (MWCNTs), based on experimental data sets from a laboratory column mode. The effect of total flow time (0–260 min), influent flow rates (0.5, 1, and 1.5 mL min−1), bed depths (2, 4, and 6 cm), initial azithromycin concentrations (25, 50, and 100 mg L−1), and pHs (2, 4, 6, 8, and 10) was considered in the adsorption process. Based on the obtained structures, three linear equations (LM, LM2, and LM3) were developed. The root mean square error (RMSE) of 9.89% and determination coefficient (R2) of 0.946 were determined for predicting azithromycin removal by the M5 model tree. The results indicated that contact time was more important in the adsorption process, relative to other operating conditions. This research showed that the M5 model tree could be an accurate and faster alternative to the available mathematical models to estimate removal rates of pollutants. The results obtained from the FTIR technique confirmed that the O–H groups on the MWCNTs surface have an important role in azithromycin adsorption.