Matches in SemOpenAlex for { <https://semopenalex.org/work/W3110172016> ?p ?o ?g. }
- W3110172016 endingPage "124473" @default.
- W3110172016 startingPage "124473" @default.
- W3110172016 abstract "Magnetic carbons can significantly lower the costs of wastewater treatment due to easy separation of the adsorbent. However, current production techniques often involve the use of chlorinated or sulfonated Fe precursors with an inherent potential for secondary pollution. In this study, ochre, an iron-rich waste stream was investigated as a sustainable Fe source to produce magnetic activated biochar from two agricultural feedstocks, softwood and wheat straw. Fe doping resulted in significant shifts in pyrolysis yield distribution with increased gas yields (+50%) and gas energy content (+40%) lowering the energy costs for production. Physical activation transformed ochre to magnetite/maghemite resulting in activated magnetic biochars and led to a 4-fold increase in the adsorption capacities for two common micropollutants – caffeine and fluconazole. The results show that Fe doping not only benefits the adsorbent properties but also the production process, leading the way to sustainable carbon adsorbents." @default.
- W3110172016 created "2020-12-07" @default.
- W3110172016 creator A5052710071 @default.
- W3110172016 creator A5087096764 @default.
- W3110172016 date "2021-02-01" @default.
- W3110172016 modified "2023-10-17" @default.
- W3110172016 title "Feedstock doping using iron rich waste increases the pyrolysis gas yield and adsorption performance of magnetic biochar for emerging contaminants" @default.
- W3110172016 cites W1177618392 @default.
- W3110172016 cites W1972192405 @default.
- W3110172016 cites W1976991069 @default.
- W3110172016 cites W1987319760 @default.
- W3110172016 cites W2003091873 @default.
- W3110172016 cites W2004274311 @default.
- W3110172016 cites W2012370634 @default.
- W3110172016 cites W2037186702 @default.
- W3110172016 cites W2048596619 @default.
- W3110172016 cites W2087247680 @default.
- W3110172016 cites W2110808975 @default.
- W3110172016 cites W2142414601 @default.
- W3110172016 cites W2160715470 @default.
- W3110172016 cites W2169739527 @default.
- W3110172016 cites W2232625605 @default.
- W3110172016 cites W2233638400 @default.
- W3110172016 cites W2273642735 @default.
- W3110172016 cites W2312242920 @default.
- W3110172016 cites W231554185 @default.
- W3110172016 cites W2317552007 @default.
- W3110172016 cites W2467156072 @default.
- W3110172016 cites W2523549026 @default.
- W3110172016 cites W2550976879 @default.
- W3110172016 cites W2591737767 @default.
- W3110172016 cites W2593765853 @default.
- W3110172016 cites W2594236377 @default.
- W3110172016 cites W2754661875 @default.
- W3110172016 cites W2773791877 @default.
- W3110172016 cites W2776497692 @default.
- W3110172016 cites W2791074126 @default.
- W3110172016 cites W2792545912 @default.
- W3110172016 cites W2888952009 @default.
- W3110172016 cites W2928231411 @default.
- W3110172016 cites W2944372659 @default.
- W3110172016 cites W2969241896 @default.
- W3110172016 cites W2972471413 @default.
- W3110172016 cites W2984755310 @default.
- W3110172016 cites W2991604257 @default.
- W3110172016 cites W3002206717 @default.
- W3110172016 cites W3004305611 @default.
- W3110172016 cites W3006178826 @default.
- W3110172016 cites W3009577078 @default.
- W3110172016 cites W3015782924 @default.
- W3110172016 cites W3019195019 @default.
- W3110172016 cites W578233940 @default.
- W3110172016 cites W635870372 @default.
- W3110172016 cites W843007777 @default.
- W3110172016 doi "https://doi.org/10.1016/j.biortech.2020.124473" @default.
- W3110172016 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33302011" @default.
- W3110172016 hasPublicationYear "2021" @default.
- W3110172016 type Work @default.
- W3110172016 sameAs 3110172016 @default.
- W3110172016 citedByCount "36" @default.
- W3110172016 countsByYear W31101720162021 @default.
- W3110172016 countsByYear W31101720162022 @default.
- W3110172016 countsByYear W31101720162023 @default.
- W3110172016 crossrefType "journal-article" @default.
- W3110172016 hasAuthorship W3110172016A5052710071 @default.
- W3110172016 hasAuthorship W3110172016A5087096764 @default.
- W3110172016 hasBestOaLocation W31101720162 @default.
- W3110172016 hasConcept C107872376 @default.
- W3110172016 hasConcept C119599485 @default.
- W3110172016 hasConcept C127413603 @default.
- W3110172016 hasConcept C150394285 @default.
- W3110172016 hasConcept C178790620 @default.
- W3110172016 hasConcept C185592680 @default.
- W3110172016 hasConcept C188573790 @default.
- W3110172016 hasConcept C191897082 @default.
- W3110172016 hasConcept C192562407 @default.
- W3110172016 hasConcept C206139338 @default.
- W3110172016 hasConcept C2777781897 @default.
- W3110172016 hasConcept C2779647737 @default.
- W3110172016 hasConcept C2780786144 @default.
- W3110172016 hasConcept C36759035 @default.
- W3110172016 hasConcept C526406351 @default.
- W3110172016 hasConcept C528095902 @default.
- W3110172016 hasConcept C548081761 @default.
- W3110172016 hasConcept C56085101 @default.
- W3110172016 hasConceptScore W3110172016C107872376 @default.
- W3110172016 hasConceptScore W3110172016C119599485 @default.
- W3110172016 hasConceptScore W3110172016C127413603 @default.
- W3110172016 hasConceptScore W3110172016C150394285 @default.
- W3110172016 hasConceptScore W3110172016C178790620 @default.
- W3110172016 hasConceptScore W3110172016C185592680 @default.
- W3110172016 hasConceptScore W3110172016C188573790 @default.
- W3110172016 hasConceptScore W3110172016C191897082 @default.
- W3110172016 hasConceptScore W3110172016C192562407 @default.
- W3110172016 hasConceptScore W3110172016C206139338 @default.
- W3110172016 hasConceptScore W3110172016C2777781897 @default.
- W3110172016 hasConceptScore W3110172016C2779647737 @default.
- W3110172016 hasConceptScore W3110172016C2780786144 @default.