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Cited by 1,401

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Dielectric parameters relevant to microwave dielectric heating

Gabriel, Camelia, Gabriel, Sami, H. Grant, Edward, H. Grant, Edward, S. J. Halstead, Ben, Michael P. Mingos, D.·1998·Chemical Society Reviews

Abstract

Microwave dielectric heating is rapidly becoming an established procedure in synthetic chemistry. This review summarises the basic theory underlying microwave dielectric heating and collates the dielectric data for a wide range of organic solvents which are commmonly used in microwave syntheses. The loss tangents of the solvents, which may be related to the ability of the solvent to absorb energy in a microwave cavity, depend on the relaxation times of the molecules. These relaxation times depend critically on the nature of the functional groups and the volume of the molecule. Functional groups capable of hydrogenbonding have a particularly strong influence on the relaxation times. The relaxation times of solvents decrease as the temperature of the solvent is increased. Loss tangent data at different microwave frequencies are also presented and discussed.

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Crossref · 10.1039/a827213z

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Metadata

Authors
Gabriel, C., Gabriel, S., H. Grant, E., H. Grant, E., S. J. Halstead, B., & Michael P. Mingos, D.
Venue
Chemical Society Reviews
Published
1998
Volume
27
Issue
3
Pages
213
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W2170424911
Cited by
1,401
References
1
FWCI
1.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dielectric parameters relevant to microwave dielectric heating. https://app.cochat.ai/papers/10.1039/a827213z
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Gabriel, C., Gabriel, S., H. Grant, E., H. Grant, E., S. J. Halstead, B., & Michael P. Mingos, D. (1998). Dielectric parameters relevant to microwave dielectric heating. Chemical Society Reviews. https://doi.org/10.1039/a827213z

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.