生物炭
吸附
吸附
金属有机骨架
化学
活性炭
水溶液
零电荷点
环糊精
位阻效应
有机化学
热解
作者
Navid Saeidi,Adelene Lai,Falk Harnisch,Gabriel Sigmund
标识
DOI:10.1016/j.cej.2024.155456
摘要
• Adsorption of 44 PFAS was evaluated across four different adsorbent groups. • Activated carbon and biochar had the highest K d for PFAS with ≥ 7C-F bonds. • Cyclodextrins and resins outperformed activated carbons and biochars for PFAS≤4C-F bonds. • Structural PFAS properties could be related to adsorption behavior. • Random Forest Regressor model can predict adsorption to AC and BC, not for others. Per- and polyfluorinated substances (PFAS) have complex sorption behaviors, complicating removal from water and selection of suitable adsorbents. We evaluated adsorption of 44 PFAS across four adsorbent groups: activated carbon and biochar (AC and BC), cyclodextrin-based adsorbents (cyclodextrins), polymer-based adsorbents and resins, and inorganic adsorbents and metal organic frameworks (MOFs). We analyzed over 500 adsorption coefficients (K d ) from literature, calculated at aqueous equilibrium concentration of 1 ± 0.3 µg/L under comparable experimental conditions. On average, K d of AC and BC exceeded 10 7 L/kg for PFAS with C-F bonds > 7, unlike other adsorbents with K d < 10 7 . This trend holds for C-F bonds ≥ 4. Cyclodextrins, polymer-based adsorbents and resins outperform AC and BC for C-F bonds < 4. For AC and BC, K d follows the order PFOS>PFOA>PFBS>PFBA, with adsorption increasing with increasing point of zero charge of the adsorbent. For AC and BC, as well as cyclodextrins, K d values were related to PFAS hydrophobicity and steric properties. Additionally, adsorption was influenced by head group type, non-fluorinated carbon atoms, and the presence of oxygen and/or chlorine in the PFAS. No clear relationship was found for the other adsorbents. Adsorption prediction using a Random Forest Regressor and literature data was feasible for AC and BC, but not for other adsorbents. Cyclodextrins outperform AC and BC for removing PFAS across varying mobilities from water, whereas AC and BC are superior for low mobility PFAS. To support further data use all data and code used are freely available, following FAIR data principles.
科研通智能强力驱动
Strongly Powered by AbleSci AI