M. Hassani, M. Zeeb, A. Monzavi, Z. Khodadadi, M. Kalaee
{"title":"基于紫外可见分光光度法测定前等温线条件优化的ZSM-5/Fe纳米吸附剂对水溶液中硝酸盐的吸附","authors":"M. Hassani, M. Zeeb, A. Monzavi, Z. Khodadadi, M. Kalaee","doi":"10.24200/amecj.v4.i04.154","DOIUrl":null,"url":null,"abstract":"The life-threatening nature of high nitrate concentrations in various water resources motivated the present study to investigate the nitrate adsorption by ZSM-5 nanozeolite and the feasibility of increasing nitrate removal efficiency using iron-doped ZSM-5 (ZSM-5/Fe) nanosorbent. Energy dispersive X-ray diffraction analysis was employed to determine the physical properties of the adsorbent and the presence of iron particles in the nanosorbent structure and BET analysis to measure the specific surface area of the nanosorbent. The optimal adsorption conditions were determined first by modeling the central composite design (CCD) using Design Expert.7 software based on four influential factors . Then, the isotherms of nitrate adsorption under optimized conditions were investigated using the degree of fit of experimental data with Langmuir and Freundlich models for mathematical modeling of the nitrate adsorption process. Based on the test design results, the highest nitrate removal efficiency (%93.1) was reported at the contact time of 150 min, pH value of 3, adsorbent dosage of 4 g/l and initial concentration of 40 mg/l. Analysis of adsorption isotherms also confirmed the greater fit of the experimental data with the Freundlich equation, so that the correction factor of the Freundlich equation was greater than the Langmuir equation.","PeriodicalId":7797,"journal":{"name":"Analytical Methods in Environmental Chemistry Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Adsorption of nitrate from aqueous solution with ZSM-5/Fe nanosorbent based on optimizing of the isotherms conditions before determination by UV-Vis Spectrophotometry\",\"authors\":\"M. Hassani, M. Zeeb, A. Monzavi, Z. Khodadadi, M. Kalaee\",\"doi\":\"10.24200/amecj.v4.i04.154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The life-threatening nature of high nitrate concentrations in various water resources motivated the present study to investigate the nitrate adsorption by ZSM-5 nanozeolite and the feasibility of increasing nitrate removal efficiency using iron-doped ZSM-5 (ZSM-5/Fe) nanosorbent. Energy dispersive X-ray diffraction analysis was employed to determine the physical properties of the adsorbent and the presence of iron particles in the nanosorbent structure and BET analysis to measure the specific surface area of the nanosorbent. The optimal adsorption conditions were determined first by modeling the central composite design (CCD) using Design Expert.7 software based on four influential factors . Then, the isotherms of nitrate adsorption under optimized conditions were investigated using the degree of fit of experimental data with Langmuir and Freundlich models for mathematical modeling of the nitrate adsorption process. Based on the test design results, the highest nitrate removal efficiency (%93.1) was reported at the contact time of 150 min, pH value of 3, adsorbent dosage of 4 g/l and initial concentration of 40 mg/l. Analysis of adsorption isotherms also confirmed the greater fit of the experimental data with the Freundlich equation, so that the correction factor of the Freundlich equation was greater than the Langmuir equation.\",\"PeriodicalId\":7797,\"journal\":{\"name\":\"Analytical Methods in Environmental Chemistry Journal\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytical Methods in Environmental Chemistry Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24200/amecj.v4.i04.154\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Methods in Environmental Chemistry Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24200/amecj.v4.i04.154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adsorption of nitrate from aqueous solution with ZSM-5/Fe nanosorbent based on optimizing of the isotherms conditions before determination by UV-Vis Spectrophotometry
The life-threatening nature of high nitrate concentrations in various water resources motivated the present study to investigate the nitrate adsorption by ZSM-5 nanozeolite and the feasibility of increasing nitrate removal efficiency using iron-doped ZSM-5 (ZSM-5/Fe) nanosorbent. Energy dispersive X-ray diffraction analysis was employed to determine the physical properties of the adsorbent and the presence of iron particles in the nanosorbent structure and BET analysis to measure the specific surface area of the nanosorbent. The optimal adsorption conditions were determined first by modeling the central composite design (CCD) using Design Expert.7 software based on four influential factors . Then, the isotherms of nitrate adsorption under optimized conditions were investigated using the degree of fit of experimental data with Langmuir and Freundlich models for mathematical modeling of the nitrate adsorption process. Based on the test design results, the highest nitrate removal efficiency (%93.1) was reported at the contact time of 150 min, pH value of 3, adsorbent dosage of 4 g/l and initial concentration of 40 mg/l. Analysis of adsorption isotherms also confirmed the greater fit of the experimental data with the Freundlich equation, so that the correction factor of the Freundlich equation was greater than the Langmuir equation.