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Bifunctional NH2-MIL-88(Fe) metal–organic framework nanooctahedra for highly sensitive detection and efficient removal of arsenate in aqueous media

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TLDR
In this paper, an amino-functionalized iron-based metal organic framework (MOF) nanooctahedra has been successfully synthesized via a facile one-step solvothermal route for the selective detection and facile removal of arsenate from polluted water.
Abstract
Extensive exposure to and high toxicity of arsenic species have posed severe health threats worldwide. Consequently, it is imperative to develop novel dual functional materials, which can not only precisely monitor trace levels of arsenic, but also simultaneously realize its efficient decontamination. In this study, amino-functionalized iron-based metal organic framework (MOF) nanooctahedra have been successfully synthesized via a facile one-step solvothermal route for the selective detection and facile removal of arsenate from polluted water. Benefiting from the unique fluorescence enhancement and high specific surface area as well as excellent stability, the resultant NH2-MIL-88(Fe) nanooctahedra can be utilized for the quantitative assay of arsenate, accompanied by a fast response time (<1 min), broad linear range (0.1–50 μM) and high sensitivity (detection limit of as low as 4.2 ppb) along with excellent selectivity towards arsenate. More significantly, the proposed sensing system has been further exemplified for the determination of arsenate in real environmental water samples with acceptable recoveries, highlighting its feasibility in complicated environmental samples. It is noteworthy that the as-synthesized NH2-MIL-88(Fe) nanooctahedra also exhibit extraordinary sorption performance towards As(V) in terms of high saturated adsorption capacity (125 mg g−1) and fast sorption kinetics, capable of easily reducing trace amounts of As(V) to below the acceptable standard for drinking water within 60 min. These results indicate that the obtained NH2-MIL-88(Fe) nanooctahedra can be expected to be an excellent candidate for arsenic determination and remediation from contaminated water systems.

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Highly efficient sunlight-driven reduction of Cr(VI) by TiO2@NH2-MIL-88B(Fe) heterostructures under neutral conditions

TL;DR: In this paper, an efficient MOF-based photocatalytic reduction towards Cr(VI) in a neutral aqueous media has been demonstrated, where the photoelectrons and superoxide radicals were the main active species.
Journal ArticleDOI

Adsorption behavior of arsenicals on MIL-101(Fe): The role of arsenic chemical structures

TL;DR: MIL-101(Fe) is confirmed a reliable adsorbent to control the aqueous arsenic species contamination and emphasize the significant role of the chemical structure of arsenic speciation on adsorption performances of MOFs.
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The synthesis strategies and photocatalytic performances of TiO2/MOFs composites: A state-of-the-art review

TL;DR: In this paper, the outlooks and challenges of TiO2/MOF composites as photocatalysts for energy conversion and environment remediation are proposed, and the fabrication strategies, characterizations techniques, photocatalysis activities and the mechanisms of some selected selected composites were reviewed and highlighted.
References
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Journal ArticleDOI

Postsynthetic Modifications of Iron-Carboxylate Nanoscale Metal−Organic Frameworks for Imaging and Drug Delivery

TL;DR: Potential utility of the new NMOF-based nanodelivery vehicles for optical imaging and anticancer therapy was demonstrated in vitro using HT-29 human colon adenocarcinoma cells.
Journal ArticleDOI

Highly Stable Zr(IV)-Based Metal–Organic Frameworks for the Detection and Removal of Antibiotics and Organic Explosives in Water

TL;DR: It was demonstrated that the adsorption plays an important role in the preconcentration of analytes, which can further increase the fluorescent quenching efficiency and be potentially useful in monitoring water quality and treating wastewater.
Journal ArticleDOI

ERRATUM: Competition among memes in a world with limited attention

TL;DR: Surprisingly, this work can explain the massive heterogeneity in the popularity and persistence of memes as deriving from a combination of the competition for the authors' limited attention and the structure of the social network, without the need to assume different intrinsic values among ideas.
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