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What is QCM

Emerging Applications and Implementations of Metal-Organic Frameworks
Acronym of Quartz Crystal Microbalance. This is a sensor made of a thin quartz disk with a metal electrode on each side.
Published in Chapter:
Applications of Quartz Crystal Microbalances Modified With Metal Organic Frameworks: A Review
Fabian N. Murrieta-Rico (Universidad Nacional Autónoma de México, Mexico), Rosario I. Yocupicio-Gaxiola (Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Mexico), Vitalii Petranovskii (Universidad Nacional Autónoma de México, Mexico), Donald H. Galván (Universidad Nacional Autónoma de México, Mexico), and Joel Antunez-Garcia (Universidad Nacional Autónoma de México, Mexico)
DOI: 10.4018/978-1-7998-4760-1.ch004
Abstract
Metal-organic frameworks (MOFs) are versatile materials that are of interest due to their application and properties. MOFs are highly crystalline and porous materials; they are composed of organic bridging ligands, acting as linkers, and a three-dimensional (3D) network of metal ions that are secondary building units. Since the MOFs have a high surface area, high porosity, tunable topography, and their structures are quite diverse, these materials are used in process of separation/purification, gas/energy storage, drug delivery, catalysis, and chemical sensors. Since the MOFs can be modified to selectively adsorb chemical species, they can be used as sensitive layer for modification of sensors. This process allows the sensor to detect the target analyte. Quartz crystal microbalances (QCMs) are highly sensitive mass sensors. In this chapter, the authors review the literature related to QCMs modified with MOFs. In particular, the relationship between target analyte, class of MOF, and instrument used for measurement of frequency variations.
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More Results
QPLAN: A Tool for Enhancing Software Development Project Performance with Customer Involvement
This abbreviation stands for “quality of planning through cognitive maps”. QCM evaluates the quality of planning of software development projects by evaluating 55 factors, organized in 21 cognitive maps that affect project planning.
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