A FAIR comparison of activated carbon, biochar, cyclodextrins, polymers, resins, and metal organic frameworks for the adsorption of per- and polyfluorinated substances

生物炭 吸附 金属有机骨架 化学 活性炭 碳纤维 聚合物 金属 有机化学 化学工程 无机化学 材料科学 热解 复合数 工程类 复合材料
作者
Navid Saeidi,Adelene Lai,Falk Harnisch,Gabriel Sigmund
出处
期刊:Chemical Engineering Journal [Elsevier]
卷期号:498: 155456-155456 被引量:1
标识
DOI:10.1016/j.cej.2024.155456
摘要

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 (Kd) from literature, calculated at aqueous equilibrium concentration of 1 ± 0.3 µg/L under comparable experimental conditions. On average, Kd of AC and BC exceeded 107 L/kg for PFAS with C-F bonds > 7, unlike other adsorbents with Kd < 107. 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, Kd follows the order PFOS>PFOA>PFBS>PFBA, with adsorption increasing with increasing point of zero charge. For AC and BC, as well as cyclodextrin, Kd 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
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
FashionBoy应助科研通管家采纳,获得10
刚刚
春风完成签到,获得积分10
1秒前
传奇3应助科研通管家采纳,获得10
1秒前
上官若男应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
1秒前
windchaser应助科研通管家采纳,获得10
1秒前
华仔应助科研通管家采纳,获得10
1秒前
1秒前
所所应助科研通管家采纳,获得10
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
李健应助科研通管家采纳,获得10
1秒前
杳yaozz完成签到,获得积分20
1秒前
Hello应助科研通管家采纳,获得10
1秒前
Ava应助科研通管家采纳,获得10
1秒前
上官若男应助科研通管家采纳,获得30
1秒前
慕青应助科研通管家采纳,获得10
1秒前
田様应助科研通管家采纳,获得30
2秒前
bkagyin应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
2秒前
半岛铁盒应助科研通管家采纳,获得10
2秒前
完美世界应助科研通管家采纳,获得10
2秒前
汉堡包应助科研通管家采纳,获得10
2秒前
华仔应助科研通管家采纳,获得30
2秒前
sw123发布了新的文献求助10
2秒前
2秒前
Orange应助科研通管家采纳,获得10
2秒前
Ade阿德发布了新的文献求助10
2秒前
Orange应助科研通管家采纳,获得10
2秒前
1nnoy发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
JamesPei应助科研通管家采纳,获得10
2秒前
英姑应助科研通管家采纳,获得10
3秒前
英姑应助科研通管家采纳,获得10
3秒前
Lucas应助科研通管家采纳,获得10
3秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6017491
求助须知:如何正确求助?哪些是违规求助? 7602483
关于积分的说明 16156153
捐赠科研通 5165311
什么是DOI,文献DOI怎么找? 2764854
邀请新用户注册赠送积分活动 1746169
关于科研通互助平台的介绍 1635193