Synthesis of heated aluminum oxide particles impregnated with Prussian blue for cesium and natural organic matter adsorption: Experimental and machine learning modeling
DC Field | Value | Language |
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dc.contributor.author | Yaqub, Muhammad | - |
dc.contributor.author | Nguyen, Mai Ngoc | - |
dc.contributor.author | Lee, Wontae | - |
dc.date.accessioned | 2023-03-20T03:40:07Z | - |
dc.date.available | 2023-03-20T03:40:07Z | - |
dc.date.issued | 2023-02 | - |
dc.identifier.issn | 0045-6535 | - |
dc.identifier.issn | 1879-1298 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/21531 | - |
dc.description.abstract | Heated aluminum oxide particles impregnated with Prussian blue (HAOPs-PB) are synthesized for the first time using different molar ratios of aluminum sulfate and PB to improve the adsorption of cesium (133Cs+) and natural organic matter (NOM) from an aqueous solution. The Cs+ adsorption from various aqueous solutions, including surface, tap and deionized water by synthesized HAOPs-PB, is investigated. The influencing factors such as HAOPs-PB mixing ratio, pH and dosage are studied. In addition, pseudo 1st and 2nd order is tested for adsorption kinetics study. A machine learning model is developed using gene expression programming (GEP) to evaluate and optimize the adsorption process for Cs+ and NOM removal. Synthesized adsorbent showed maximum adsorption at a 1:1 M ratio of aluminum sulfate and PB in DI, tap, and surface water. The pseudo 2nd order kinetics model described the Cs + adsorption by HAOPs-PB more accurately that indicating physiochemical adsorption. Adsorption of Cs+ showed an increasing trend with higher HAOPs-PB concentration, while high pH also favored the adsorption. Maximum NOM adsorption is found at a higher HAOPs-PB dosage and a neutral pH value. Furthermore, the proposed GEP model shows outstanding performance for Cs+ adsorption modeling, whereas a modified-GEP model presents promising results for NOM adsorption prediction for testing dataset by learning the relationship between inputs and output with R2 values of 0.9348 and 0.889, respectively. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Synthesis of heated aluminum oxide particles impregnated with Prussian blue for cesium and natural organic matter adsorption: Experimental and machine learning modeling | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1016/j.chemosphere.2022.137336 | - |
dc.identifier.scopusid | 2-s2.0-85142729276 | - |
dc.identifier.wosid | 000904115500001 | - |
dc.identifier.bibliographicCitation | CHEMOSPHERE, v.313 | - |
dc.citation.title | CHEMOSPHERE | - |
dc.citation.volume | 313 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.subject.keywordPlus | AQUEOUS-SOLUTION | - |
dc.subject.keywordPlus | SURFACE-WATER | - |
dc.subject.keywordPlus | HEAVY-METALS | - |
dc.subject.keywordPlus | REMOVAL | - |
dc.subject.keywordPlus | NOM | - |
dc.subject.keywordPlus | RADIOCESIUM | - |
dc.subject.keywordPlus | SEPARATION | - |
dc.subject.keywordPlus | FUKUSHIMA | - |
dc.subject.keywordPlus | IONS | - |
dc.subject.keywordPlus | SOIL | - |
dc.subject.keywordAuthor | Adsorption | - |
dc.subject.keywordAuthor | Cesium | - |
dc.subject.keywordAuthor | Gene expression programming | - |
dc.subject.keywordAuthor | Heated aluminum oxide particles | - |
dc.subject.keywordAuthor | Natural organic matter | - |
dc.subject.keywordAuthor | Prussian blue | - |
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