Selective ·OH generation in Fenton-like reaction by dual sulfur coordination of iron organic frameworks

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Limin Duan , Huihao Jiang , Borui Cai , Jiali Wang , Wenhao Wu , Daohui Lin , Kun Yang
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引用次数: 0

Abstract

Traditional Fenton-like reaction simultaneously generates hydroxyl radical (·OH) and superoxide radical (·O2-) through Fe(Ⅲ)/Fe(Ⅱ) cycle, while ·OH with higher oxidation capacity is commonly consumed by ·O2-. Therefore, selective generation of ·OH but not ·O2- in Fenton-like reaction is highly desirable, but still remains challenging since it is hard to bypass Fe cycle process. This work constructed dual S coordination of Fe organic frameworks, i.e. S-Fe-MOFs, using ligand with mercaptan groups (-SH), which achieving 93.89 % selectivity of ·OH generation in Fenton-like reaction, much higher than that of Fe-MOFs without S-Fe coordination (48.65 %). Benefiting from selectivity of ·OH generation, Fenton-like activity of S-Fe-MOFs up to 0.36 min-1 using bisphenol A (BPA) as a probe, was 75 times than that of Fe-MOFs (0.0048 min-1). Dual S coordination could give rise to a symmetrical “push-pull” effect on OO bond of H2O2 by changing adsorption configuration from “end-on” to “side on” type that two O atoms in H2O2 adsorbed together on Fe sites, and thus resulting in one H2O2 split directly two ·OH. Differ from traditional ·OH generation pathway, this process not only bypasses electron transfer between Fe(Ⅱ)/Fe(Ⅲ) cycle but also avoids the electron loss of catalyst, endowing S-Fe-MOFs excellent stability in Fenton-like reaction. S-Fe-MOFs on fix-bed reactor maintained high efficiency towards BPA degradation in 12 h continuous flow in real water environment. This work provides new insight into designing catalyst to overcome the limitation of traditional Fenton-like reaction.

Abstract Image

Abstract Image

铁有机骨架双硫配位在类芬顿反应中选择性生成·OH
传统的类芬顿反应通过Fe(Ⅲ)/Fe(Ⅱ)循环同时生成羟基自由基(·OH)和超氧自由基(·O2-),而氧化能力较高的·OH通常被·O2-消耗。因此,在类芬顿反应中选择性生成·OH而非·O2-是非常可取的,但由于难以绕过铁循环过程,因此仍然具有挑战性。本研究利用巯基(-SH)配体构建了双S配位的Fe有机骨架,即S-Fe- mofs,在类芬顿反应中生成·OH的选择性达到93.89%,远高于无S-Fe配位的Fe- mofs(48.65%)。得益于·OH生成的选择性,以双酚A (BPA)为探针的S-Fe-MOFs的芬顿样活性高达0.36 min-1,是Fe-MOFs (0.0048 min-1)的75倍。双S配位可以使H2O2的O-O键发生对称的“推拉”效应,使H2O2中的两个O原子在Fe位点上的吸附构型由“端对”变为“侧对”,从而使一个H2O2直接分裂两个·OH。与传统的·OH生成途径不同,该工艺不仅绕过了Fe(Ⅱ)/Fe(Ⅲ)循环之间的电子转移,而且避免了催化剂的电子损失,使s -Fe- mof在类芬顿反应中具有优异的稳定性。固定床反应器上的s - fe - mof在真实水环境中连续流动12 h后仍能保持较高的BPA降解效率。这项工作为克服传统类芬顿反应的局限性而设计催化剂提供了新的见解。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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