J. Gálvez, M. Parreño, J. Pla, Jaime Sánchez, María Gálvez-Llompart, S. Navarro, R. García-Domènech
{"title":"Application of Molecular Topology to the Prediction of Water Quality Indices of Alkylphenol Pollutants","authors":"J. Gálvez, M. Parreño, J. Pla, Jaime Sánchez, María Gálvez-Llompart, S. Navarro, R. García-Domènech","doi":"10.4018/ijcce.2011010101","DOIUrl":null,"url":null,"abstract":"In this paper, topological-mathematical models based on multilineal regression analysis have been built as a model of the degradability of 26 alkylphenols through the Chemical Oxygen Demand (COD) and Biochemical Oxigen Demand (BOD5). Two models with three-variable were selected (r2= 0.8793 and q2=0.8075 for log(1/COD) and r2= 0.8928 and q2=0.8327 for log(1/BOD5). The models were validated by cross-validation, internal validation and randomization tests. The results, which stand in good accordance with the obtained results, confirm the robustness of the method.","PeriodicalId":132974,"journal":{"name":"Int. J. Chemoinformatics Chem. Eng.","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Chemoinformatics Chem. Eng.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijcce.2011010101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
In this paper, topological-mathematical models based on multilineal regression analysis have been built as a model of the degradability of 26 alkylphenols through the Chemical Oxygen Demand (COD) and Biochemical Oxigen Demand (BOD5). Two models with three-variable were selected (r2= 0.8793 and q2=0.8075 for log(1/COD) and r2= 0.8928 and q2=0.8327 for log(1/BOD5). The models were validated by cross-validation, internal validation and randomization tests. The results, which stand in good accordance with the obtained results, confirm the robustness of the method.