Evidence map›Paper›PMID 40490433›Full record

ArticleAccounts of chemical research2025

Flexible Metal-Organic Frameworks for Adsorptive Separation of Liquid Hydrocarbons.

Feng Xie, Hao Wang, Jing Li

Abstract read
In one paragraph

Article in Accounts of chemical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Feng XieDepartment of Chemistry and Chemical Biology, Rutgers University, 123 Bevier Road, Piscataway, New Jersey 08854, United States.ORCID 0000-0002-4273-8770
Hao WangHoffmann Institute of Advanced Materials, Shenzhen Polytechnic University, 7098 Liuxian Boulevard, Shenzhen 518055, P. R. China.ORCID 0000-0001-7732-778X
Jing LiDepartment of Chemistry and Chemical Biology, Rutgers University, 123 Bevier Road, Piscataway, New Jersey 08854, United States.ORCID 0000-0001-7792-4322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ConspectusThe separation and purification of liquid hydrocarbons are vital for producing various petrochemical feedstocks. However, the structural and chemical similarities among these hydrocarbons make conventional separation methods such as distillation and extraction both challenging and energy intensive. Adsorptive separation using porous solid adsorbents presents a promising and energy-efficient alternative. Among these, flexible metal-organic frameworks (FMOFs) as a subgroup of MOFs have emerged as an unparalleled class of porous materials for highly selective adsorption-based separation and purification of liquid hydrocarbons. Having intrinsically dynamic structures, FMOFs exhibit very different adsorption behaviors compared to rigid MOFs (RMOFs), those that do not involve structure transformations upon activation, and molecular adsorption.In recent years, we have focused on developing high-performance FMOFs with different dimensionalities, spanning from one-dimensional (1D) chains to two-dimensional (2D) layers and to three-dimensional (3D) networks. Their structural flexibility arises from either local rotation and vibration of organic linkers or global structural changes, enabling stimuli-responsive molecular adsorption. By leveraging their distinct temperature- and adsorbate-dependent adsorption behaviors, we have achieved highly efficient separation of numerous important liquid hydrocarbons through molecular sieving, the mechanism that offers the highest selectivity. The unique dynamic structures and adsorption properties allow FMOFs to have high adsorption capacity, exceptional selectivity, and fast kinetics simultaneously, overcoming the trade-offs typically encountered by conventional adsorbents including RMOFs.In this

Identifiers

PMID40490433
PMCPMC12332971

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.