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Prediction of Sorption Capacity of Activated Carbons
We present the results of mathematical modeling of quantitative relationship between the adsorption capacity of activated carbons and the partition coefficients of adsorbates in the n -octanol–water system. It has been found that the partition coefficients of adsorbates are highly informative descri...
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Published in: | Russian journal of general chemistry 2018-12, Vol.88 (13), p.2928-2933 |
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container_title | Russian journal of general chemistry |
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creator | Frumin, G. T. Bolotova, N. L. |
description | We present the results of mathematical modeling of quantitative relationship between the adsorption capacity of activated carbons and the partition coefficients of adsorbates in the
n
-octanol–water system. It has been found that the partition coefficients of adsorbates are highly informative descriptors in the mathematical models for prediction of the adsorption capacity of activated carbons. The empirical linear regression equation relating the similarity coefficients and the partition coefficients of adsorbates can be applied for the prediction tasks. |
doi_str_mv | 10.1134/S1070363218130169 |
format | article |
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n
-octanol–water system. It has been found that the partition coefficients of adsorbates are highly informative descriptors in the mathematical models for prediction of the adsorption capacity of activated carbons. The empirical linear regression equation relating the similarity coefficients and the partition coefficients of adsorbates can be applied for the prediction tasks.</description><identifier>ISSN: 1070-3632</identifier><identifier>EISSN: 1608-3350</identifier><identifier>DOI: 10.1134/S1070363218130169</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Activated carbon ; Adsorbates ; Adsorption ; Analysis ; Chemistry ; Chemistry and Materials Science ; Chemistry/Food Science ; Coefficients ; Empirical equations ; Mathematical models ; Methylene blue ; Octanol ; Partitions ; Purification ; Water ; Wine</subject><ispartof>Russian journal of general chemistry, 2018-12, Vol.88 (13), p.2928-2933</ispartof><rights>Pleiades Publishing, Ltd 2019</rights><rights>COPYRIGHT 2018 Springer</rights><rights>Copyright Springer Nature B.V. 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c335t-436641341789bf7b168fd3c52c571d7feebe3c4a750fd4f7703884b306bd919f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Frumin, G. T.</creatorcontrib><creatorcontrib>Bolotova, N. L.</creatorcontrib><title>Prediction of Sorption Capacity of Activated Carbons</title><title>Russian journal of general chemistry</title><addtitle>Russ J Gen Chem</addtitle><description>We present the results of mathematical modeling of quantitative relationship between the adsorption capacity of activated carbons and the partition coefficients of adsorbates in the
n
-octanol–water system. It has been found that the partition coefficients of adsorbates are highly informative descriptors in the mathematical models for prediction of the adsorption capacity of activated carbons. The empirical linear regression equation relating the similarity coefficients and the partition coefficients of adsorbates can be applied for the prediction tasks.</description><subject>Activated carbon</subject><subject>Adsorbates</subject><subject>Adsorption</subject><subject>Analysis</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Chemistry/Food Science</subject><subject>Coefficients</subject><subject>Empirical equations</subject><subject>Mathematical models</subject><subject>Methylene blue</subject><subject>Octanol</subject><subject>Partitions</subject><subject>Purification</subject><subject>Water</subject><subject>Wine</subject><issn>1070-3632</issn><issn>1608-3350</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LAzEQxYMoWKsfwFvB89ZMkk2yx1L8BwWF6jlks0lJaTdrshX67c1aoYhKDhnee7_MZBC6BjwFoOx2CVhgyikBCRQDr07QCDiWBaUlPs11tovBP0cXKa0xBow5GSH2Em3jTe9DOwlusgyx-6rnutPG9_tBnGX7Q_e2yWqsQ5su0ZnTm2Svvu8xeru_e50_Fovnh6f5bFGY3LUvGOWc5eFAyKp2ogYuXUNNSUwpoBHO2tpSw7QosWuYE_kDUrKaYl43FVSOjtHN4d0uhvedTb1ah11sc0tFoKqqkpSEHlMrvbHKty70UZutT0bNBCmFFMB4Tk3_SOXT2K03obXOZ_0HAAfAxJBStE510W913CvAati5-rXzzJADk3K2Xdl4HPh_6BOQHn8y</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Frumin, G. T.</creator><creator>Bolotova, N. L.</creator><general>Pleiades Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20181201</creationdate><title>Prediction of Sorption Capacity of Activated Carbons</title><author>Frumin, G. T. ; Bolotova, N. L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c335t-436641341789bf7b168fd3c52c571d7feebe3c4a750fd4f7703884b306bd919f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Activated carbon</topic><topic>Adsorbates</topic><topic>Adsorption</topic><topic>Analysis</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Chemistry/Food Science</topic><topic>Coefficients</topic><topic>Empirical equations</topic><topic>Mathematical models</topic><topic>Methylene blue</topic><topic>Octanol</topic><topic>Partitions</topic><topic>Purification</topic><topic>Water</topic><topic>Wine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Frumin, G. T.</creatorcontrib><creatorcontrib>Bolotova, N. L.</creatorcontrib><collection>CrossRef</collection><jtitle>Russian journal of general chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Frumin, G. T.</au><au>Bolotova, N. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of Sorption Capacity of Activated Carbons</atitle><jtitle>Russian journal of general chemistry</jtitle><stitle>Russ J Gen Chem</stitle><date>2018-12-01</date><risdate>2018</risdate><volume>88</volume><issue>13</issue><spage>2928</spage><epage>2933</epage><pages>2928-2933</pages><issn>1070-3632</issn><eissn>1608-3350</eissn><abstract>We present the results of mathematical modeling of quantitative relationship between the adsorption capacity of activated carbons and the partition coefficients of adsorbates in the
n
-octanol–water system. It has been found that the partition coefficients of adsorbates are highly informative descriptors in the mathematical models for prediction of the adsorption capacity of activated carbons. The empirical linear regression equation relating the similarity coefficients and the partition coefficients of adsorbates can be applied for the prediction tasks.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S1070363218130169</doi><tpages>6</tpages></addata></record> |
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subjects | Activated carbon Adsorbates Adsorption Analysis Chemistry Chemistry and Materials Science Chemistry/Food Science Coefficients Empirical equations Mathematical models Methylene blue Octanol Partitions Purification Water Wine |
title | Prediction of Sorption Capacity of Activated Carbons |
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