Adsorption of Arsenic and Lead From Phosphoric Acid Effluent Via 4A Zeolite: Statistical Experimental Design
The wet procedure is one of the prominent methods to produce phosphoric acid but unfortunately, remains the undesired components such as heavy metals in the final product. The aim of this work is to employ 4A zeolite adsorbent for the adsorption of lead and arsenic from the wet-process phosphoric ac...
Gespeichert in:
| Veröffentlicht in: | Water, air, and soil pollution air, and soil pollution, 2023-12, Vol.234 (12), p.764-764, Article 764 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 764 |
|---|---|
| container_issue | 12 |
| container_start_page | 764 |
| container_title | Water, air, and soil pollution |
| container_volume | 234 |
| creator | Shahbazi, Javad Fatehifar, Esmaeil Daryani, Mohammad Jodeiri, Naeimeh Karimi, Asadollah |
| description | The wet procedure is one of the prominent methods to produce phosphoric acid but unfortunately, remains the undesired components such as heavy metals in the final product. The aim of this work is to employ 4A zeolite adsorbent for the adsorption of lead and arsenic from the wet-process phosphoric acid. The Taguchi methodology was used to improve the processing quality and optimize design factors. Three operational factors of the concentrations of lead and arsenic, adsorbent dosage, and pH were chosen as variables of the experimental design. The batch adsorption method was applied to remove heavy metals. The results make it clear that the adsorption process of heavy metals is significantly affected by the pH of the solution, the heavy metals concentration, and lastly, by the adsorbent dosage. The adsorption mechanism has been surveyed using two adsorption isotherm models (the Langmuir and the Freundlich isotherm). The consequence demonstrated that the Langmuir model more excellently and effectively illustrates the experimental results compared to the Freundlich model. The equilibrium time for removal of arsenic and lead was found to be 140 min and 100 min, respectively. Using the experiment setting optimized by the Taguchi method, a 99% reduction in both pollutant concentrations was achieved by the adsorption process. By using analysis of variance and signal-to-noise ratio, the impact of the effect of each parameter on the response and the error rate based on a 95% confidence interval was obtained. |
| doi_str_mv | 10.1007/s11270-023-06776-w |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2897529325</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A775493708</galeid><sourcerecordid>A775493708</sourcerecordid><originalsourceid>FETCH-LOGICAL-c342t-f703b33b9240b4779c65ab68cf5bcfd9f8bdcd8f40eaf08bed9ebc498eb431d23</originalsourceid><addsrcrecordid>eNp9kU9rFTEUxYNY8Fn9Aq4CbtxMm8mfycTdUF9t4YFC1YWbkEluXlPmJWMyj-q3N88pCC68WVyS_M7hcg9Cb1py0RIiL0vbUkkaQllDOim75vEZ2rRCsoYqRp-jDSFcNZ2S6gV6WcoDqaV6uUHT4ErK8xJSxMnjIReIwWITHd6Bcfg6pwP-fJ_KfJ9y_RhscHjr_XSEuOBvwWA-4O-QprDAe3y3mCWUJVgz4e3PGXI4VKxePkAJ-_gKnXkzFXj91M_R1-vtl6ubZvfp4-3VsGss43RpvCRsZGxUlJORS6lsJ8zY9daL0XqnfD8663rPCRhP-hGcgtFy1cPIWesoO0fvVt85px9HKIs-hGJhmkyEdCyatYIJwSnrK_r2H_QhHXOs02naKylO6xOVulipvZlAh-jTko2tx8Eh2BTBh_o-SCm4YpKcbOkqsDmVksHrue7C5F-6JfqUmF4T0zUx_Scx_VhFbBWVCsc95L-z_Ef1G02omd4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2897529325</pqid></control><display><type>article</type><title>Adsorption of Arsenic and Lead From Phosphoric Acid Effluent Via 4A Zeolite: Statistical Experimental Design</title><source>SpringerLink</source><creator>Shahbazi, Javad ; Fatehifar, Esmaeil ; Daryani, Mohammad ; Jodeiri, Naeimeh ; Karimi, Asadollah</creator><creatorcontrib>Shahbazi, Javad ; Fatehifar, Esmaeil ; Daryani, Mohammad ; Jodeiri, Naeimeh ; Karimi, Asadollah</creatorcontrib><description>The wet procedure is one of the prominent methods to produce phosphoric acid but unfortunately, remains the undesired components such as heavy metals in the final product. The aim of this work is to employ 4A zeolite adsorbent for the adsorption of lead and arsenic from the wet-process phosphoric acid. The Taguchi methodology was used to improve the processing quality and optimize design factors. Three operational factors of the concentrations of lead and arsenic, adsorbent dosage, and pH were chosen as variables of the experimental design. The batch adsorption method was applied to remove heavy metals. The results make it clear that the adsorption process of heavy metals is significantly affected by the pH of the solution, the heavy metals concentration, and lastly, by the adsorbent dosage. The adsorption mechanism has been surveyed using two adsorption isotherm models (the Langmuir and the Freundlich isotherm). The consequence demonstrated that the Langmuir model more excellently and effectively illustrates the experimental results compared to the Freundlich model. The equilibrium time for removal of arsenic and lead was found to be 140 min and 100 min, respectively. Using the experiment setting optimized by the Taguchi method, a 99% reduction in both pollutant concentrations was achieved by the adsorption process. By using analysis of variance and signal-to-noise ratio, the impact of the effect of each parameter on the response and the error rate based on a 95% confidence interval was obtained.</description><identifier>ISSN: 0049-6979</identifier><identifier>EISSN: 1573-2932</identifier><identifier>DOI: 10.1007/s11270-023-06776-w</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adsorbents ; Adsorption ; air ; analysis of variance ; Arsenic ; Atmospheric Protection/Air Quality Control/Air Pollution ; Climate Change/Climate Change Impacts ; confidence interval ; Confidence intervals ; Design ; Design factors ; Design of experiments ; Design optimization ; Dosage ; Earth and Environmental Science ; Environment ; Environmental monitoring ; Experimental design ; Heavy metals ; Hydrogeology ; Isotherms ; Lead ; Metal concentrations ; Metals ; Phosphates ; Phosphoric acid ; Pollutant removal ; pollutants ; Production methods ; Signal to noise ratio ; soil ; Soil Science & Conservation ; sorption isotherms ; Statistical analysis ; Taguchi method ; Taguchi methods ; Variance analysis ; water ; Water Quality/Water Pollution ; Zeolites</subject><ispartof>Water, air, and soil pollution, 2023-12, Vol.234 (12), p.764-764, Article 764</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>COPYRIGHT 2023 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c342t-f703b33b9240b4779c65ab68cf5bcfd9f8bdcd8f40eaf08bed9ebc498eb431d23</cites><orcidid>0000-0001-7717-5202</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11270-023-06776-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11270-023-06776-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids></links><search><creatorcontrib>Shahbazi, Javad</creatorcontrib><creatorcontrib>Fatehifar, Esmaeil</creatorcontrib><creatorcontrib>Daryani, Mohammad</creatorcontrib><creatorcontrib>Jodeiri, Naeimeh</creatorcontrib><creatorcontrib>Karimi, Asadollah</creatorcontrib><title>Adsorption of Arsenic and Lead From Phosphoric Acid Effluent Via 4A Zeolite: Statistical Experimental Design</title><title>Water, air, and soil pollution</title><addtitle>Water Air Soil Pollut</addtitle><description>The wet procedure is one of the prominent methods to produce phosphoric acid but unfortunately, remains the undesired components such as heavy metals in the final product. The aim of this work is to employ 4A zeolite adsorbent for the adsorption of lead and arsenic from the wet-process phosphoric acid. The Taguchi methodology was used to improve the processing quality and optimize design factors. Three operational factors of the concentrations of lead and arsenic, adsorbent dosage, and pH were chosen as variables of the experimental design. The batch adsorption method was applied to remove heavy metals. The results make it clear that the adsorption process of heavy metals is significantly affected by the pH of the solution, the heavy metals concentration, and lastly, by the adsorbent dosage. The adsorption mechanism has been surveyed using two adsorption isotherm models (the Langmuir and the Freundlich isotherm). The consequence demonstrated that the Langmuir model more excellently and effectively illustrates the experimental results compared to the Freundlich model. The equilibrium time for removal of arsenic and lead was found to be 140 min and 100 min, respectively. Using the experiment setting optimized by the Taguchi method, a 99% reduction in both pollutant concentrations was achieved by the adsorption process. By using analysis of variance and signal-to-noise ratio, the impact of the effect of each parameter on the response and the error rate based on a 95% confidence interval was obtained.</description><subject>Adsorbents</subject><subject>Adsorption</subject><subject>air</subject><subject>analysis of variance</subject><subject>Arsenic</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Climate Change/Climate Change Impacts</subject><subject>confidence interval</subject><subject>Confidence intervals</subject><subject>Design</subject><subject>Design factors</subject><subject>Design of experiments</subject><subject>Design optimization</subject><subject>Dosage</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental monitoring</subject><subject>Experimental design</subject><subject>Heavy metals</subject><subject>Hydrogeology</subject><subject>Isotherms</subject><subject>Lead</subject><subject>Metal concentrations</subject><subject>Metals</subject><subject>Phosphates</subject><subject>Phosphoric acid</subject><subject>Pollutant removal</subject><subject>pollutants</subject><subject>Production methods</subject><subject>Signal to noise ratio</subject><subject>soil</subject><subject>Soil Science & Conservation</subject><subject>sorption isotherms</subject><subject>Statistical analysis</subject><subject>Taguchi method</subject><subject>Taguchi methods</subject><subject>Variance analysis</subject><subject>water</subject><subject>Water Quality/Water Pollution</subject><subject>Zeolites</subject><issn>0049-6979</issn><issn>1573-2932</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU9rFTEUxYNY8Fn9Aq4CbtxMm8mfycTdUF9t4YFC1YWbkEluXlPmJWMyj-q3N88pCC68WVyS_M7hcg9Cb1py0RIiL0vbUkkaQllDOim75vEZ2rRCsoYqRp-jDSFcNZ2S6gV6WcoDqaV6uUHT4ErK8xJSxMnjIReIwWITHd6Bcfg6pwP-fJ_KfJ9y_RhscHjr_XSEuOBvwWA-4O-QprDAe3y3mCWUJVgz4e3PGXI4VKxePkAJ-_gKnXkzFXj91M_R1-vtl6ubZvfp4-3VsGss43RpvCRsZGxUlJORS6lsJ8zY9daL0XqnfD8663rPCRhP-hGcgtFy1cPIWesoO0fvVt85px9HKIs-hGJhmkyEdCyatYIJwSnrK_r2H_QhHXOs02naKylO6xOVulipvZlAh-jTko2tx8Eh2BTBh_o-SCm4YpKcbOkqsDmVksHrue7C5F-6JfqUmF4T0zUx_Scx_VhFbBWVCsc95L-z_Ef1G02omd4</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Shahbazi, Javad</creator><creator>Fatehifar, Esmaeil</creator><creator>Daryani, Mohammad</creator><creator>Jodeiri, Naeimeh</creator><creator>Karimi, Asadollah</creator><general>Springer International Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>L.G</scope><scope>M0C</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-7717-5202</orcidid></search><sort><creationdate>20231201</creationdate><title>Adsorption of Arsenic and Lead From Phosphoric Acid Effluent Via 4A Zeolite: Statistical Experimental Design</title><author>Shahbazi, Javad ; Fatehifar, Esmaeil ; Daryani, Mohammad ; Jodeiri, Naeimeh ; Karimi, Asadollah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-f703b33b9240b4779c65ab68cf5bcfd9f8bdcd8f40eaf08bed9ebc498eb431d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adsorbents</topic><topic>Adsorption</topic><topic>air</topic><topic>analysis of variance</topic><topic>Arsenic</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Climate Change/Climate Change Impacts</topic><topic>confidence interval</topic><topic>Confidence intervals</topic><topic>Design</topic><topic>Design factors</topic><topic>Design of experiments</topic><topic>Design optimization</topic><topic>Dosage</topic><topic>Earth and Environmental Science</topic><topic>Environment</topic><topic>Environmental monitoring</topic><topic>Experimental design</topic><topic>Heavy metals</topic><topic>Hydrogeology</topic><topic>Isotherms</topic><topic>Lead</topic><topic>Metal concentrations</topic><topic>Metals</topic><topic>Phosphates</topic><topic>Phosphoric acid</topic><topic>Pollutant removal</topic><topic>pollutants</topic><topic>Production methods</topic><topic>Signal to noise ratio</topic><topic>soil</topic><topic>Soil Science & Conservation</topic><topic>sorption isotherms</topic><topic>Statistical analysis</topic><topic>Taguchi method</topic><topic>Taguchi methods</topic><topic>Variance analysis</topic><topic>water</topic><topic>Water Quality/Water Pollution</topic><topic>Zeolites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shahbazi, Javad</creatorcontrib><creatorcontrib>Fatehifar, Esmaeil</creatorcontrib><creatorcontrib>Daryani, Mohammad</creatorcontrib><creatorcontrib>Jodeiri, Naeimeh</creatorcontrib><creatorcontrib>Karimi, Asadollah</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ABI商业信息数据库</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ABI/INFORM Global (ProQuest)</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Science Journals</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Water, air, and soil pollution</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shahbazi, Javad</au><au>Fatehifar, Esmaeil</au><au>Daryani, Mohammad</au><au>Jodeiri, Naeimeh</au><au>Karimi, Asadollah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adsorption of Arsenic and Lead From Phosphoric Acid Effluent Via 4A Zeolite: Statistical Experimental Design</atitle><jtitle>Water, air, and soil pollution</jtitle><stitle>Water Air Soil Pollut</stitle><date>2023-12-01</date><risdate>2023</risdate><volume>234</volume><issue>12</issue><spage>764</spage><epage>764</epage><pages>764-764</pages><artnum>764</artnum><issn>0049-6979</issn><eissn>1573-2932</eissn><abstract>The wet procedure is one of the prominent methods to produce phosphoric acid but unfortunately, remains the undesired components such as heavy metals in the final product. The aim of this work is to employ 4A zeolite adsorbent for the adsorption of lead and arsenic from the wet-process phosphoric acid. The Taguchi methodology was used to improve the processing quality and optimize design factors. Three operational factors of the concentrations of lead and arsenic, adsorbent dosage, and pH were chosen as variables of the experimental design. The batch adsorption method was applied to remove heavy metals. The results make it clear that the adsorption process of heavy metals is significantly affected by the pH of the solution, the heavy metals concentration, and lastly, by the adsorbent dosage. The adsorption mechanism has been surveyed using two adsorption isotherm models (the Langmuir and the Freundlich isotherm). The consequence demonstrated that the Langmuir model more excellently and effectively illustrates the experimental results compared to the Freundlich model. The equilibrium time for removal of arsenic and lead was found to be 140 min and 100 min, respectively. Using the experiment setting optimized by the Taguchi method, a 99% reduction in both pollutant concentrations was achieved by the adsorption process. By using analysis of variance and signal-to-noise ratio, the impact of the effect of each parameter on the response and the error rate based on a 95% confidence interval was obtained.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s11270-023-06776-w</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-7717-5202</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0049-6979 |
| ispartof | Water, air, and soil pollution, 2023-12, Vol.234 (12), p.764-764, Article 764 |
| issn | 0049-6979 1573-2932 |
| language | eng |
| recordid | cdi_proquest_journals_2897529325 |
| source | SpringerLink |
| subjects | Adsorbents Adsorption air analysis of variance Arsenic Atmospheric Protection/Air Quality Control/Air Pollution Climate Change/Climate Change Impacts confidence interval Confidence intervals Design Design factors Design of experiments Design optimization Dosage Earth and Environmental Science Environment Environmental monitoring Experimental design Heavy metals Hydrogeology Isotherms Lead Metal concentrations Metals Phosphates Phosphoric acid Pollutant removal pollutants Production methods Signal to noise ratio soil Soil Science & Conservation sorption isotherms Statistical analysis Taguchi method Taguchi methods Variance analysis water Water Quality/Water Pollution Zeolites |
| title | Adsorption of Arsenic and Lead From Phosphoric Acid Effluent Via 4A Zeolite: Statistical Experimental Design |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T14%3A32%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Adsorption%20of%20Arsenic%20and%20Lead%20From%20Phosphoric%20Acid%20Effluent%20Via%204A%20Zeolite:%20Statistical%20Experimental%20Design&rft.jtitle=Water,%20air,%20and%20soil%20pollution&rft.au=Shahbazi,%20Javad&rft.date=2023-12-01&rft.volume=234&rft.issue=12&rft.spage=764&rft.epage=764&rft.pages=764-764&rft.artnum=764&rft.issn=0049-6979&rft.eissn=1573-2932&rft_id=info:doi/10.1007/s11270-023-06776-w&rft_dat=%3Cgale_proqu%3EA775493708%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2897529325&rft_id=info:pmid/&rft_galeid=A775493708&rfr_iscdi=true |