@article{maity2024steering,

title = {Steering diffusion selectivity of chemical isomers within aligned nanochannels of metal-organic framework thin film},

author = {Tanmoy Maity and Susmita Sarkar and Susmita Kundu and Suvendu Panda and Arighna Sarkar and Raheel Hammad and Kalyaneswar Mandal and Soumya Ghosh and Jagannath Mondal and Ritesh Haldar},

url = {https://www.nature.com/articles/s41467-024-53207-3#citeas},

doi = {https://doi.org/10.1038/s41467-024-53207-3},

year  = {2024},

date = {2024-11-08},

urldate = {2024-11-08},

journal = {Nature Communications},

volume = {15},

number = {1},

pages = {1--9},

publisher = {Nature Publishing Group},

abstract = {The movement of molecules (i.e. diffusion) within angstrom-scale pores of porous materials such as metal-organic frameworks (MOFs) and zeolites is influenced by multiple complex factors that can be challenging to assess and manipulate. Nevertheless, understanding and controlling this diffusion phenomenon is crucial for advancing energy-economic membrane-based chemical separation technologies, as well as for heterogeneous catalysis and sensing applications. Through precise assessment of the factors influencing diffusion within a porous metal-organic framework (MOF) thin film, we have developed a chemical strategy to manipulate and reverse chemical isomer diffusion selectivity. In the process of cognizing the molecular diffusion within oriented, angstrom-scale channels of MOF thin film, we have unveiled a dynamic chemical interaction between the adsorbate (chemical isomers) and the MOF using a combination of kinetic mass uptake experiments and molecular simulation. Leveraging the dynamic chemical interactions, we have reversed the haloalkane (positional) isomer diffusion selectivity, forging a chemical pathway to elevate the overall efficacy of membrane-based chemical separation and selective catalytic reactions.},

keywords = {chemical isomers, Diffusion Selectivity, metal-organic frameworks, Molecular Separation, Nano Channels, openQCM, QCM, Quartz Crystal Microbalance},

pubstate = {published},

tppubtype = {article}

}

@article{malhotra2023room,

title = {Room-temperature monitoring of CH4 and CO2 using a metal-organic framework-based QCM sensor showing inherent analyte discrimination},

author = {Jaskaran Singh Malhotra and Mariusz Kubus and Kasper Steen Pedersen and Simon Ivar Andersen and Jonas Sundberg},

url = {https://chemrxiv.org/engage/chemrxiv/article-details/646b938eccabde9f6e2fd280},

doi = {https://doi.org/10.26434/chemrxiv-2023-djhp2},

year  = {2023},

date = {2023-05-24},

urldate = {2023-05-24},

abstract = {The detection of methane and carbon dioxide is of growing importance due to their negative impact on global warming. This is true both for environmental monitoring, as well as leak detection in industrial processes. Although solid-state sensors are technologically mature, they have limitations that prohibit their use in certain situations, e.g., explosive atmospheres. Thus, there is a need to develop new types of sensor materials. Herein, we demonstrate a simple, low-cost metal-organic framework-based gas leak detection sensor. The system is based on gravimetric sensing using a quartz crystal microbalance. The quartz crystal is functionalized by layer-by-layer growth of a thin metal-organic framework film. This film shows selective uptake of methane or carbon dioxide under atmospheric conditions. The hardware has low cost, simple operation, and theoretically high sensitivity. Overall, the sensor is characterized by simplicity and high robustness. Furthermore, by exploiting the different adsorption kinetics as measured by multiple harmonics analyses, it is possible to discriminate whether the response is due to methane or carbon dioxide. In summary, we demonstrate data relevant towards new applications of metal-organic frameworks and microporous hybrid materials in sensing applications.},

keywords = {carbon dioxide, CH4, CO2, Dissipation, metal-organic frameworks, methane, openQCM NEXT, QCM, QCM-D, Quartz Crystal Microbalance, sensors},

pubstate = {published},

tppubtype = {article}

}