The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ultrasonic characterization of foods and drinks: Principles, methods, and applications
Abstract
The use of ultrasonics as an analytical technique for providing information about the physicochemical properties of foods is becoming increasingly popular in the food industry. Ultrasound can be used to rapidly and nondestructively measure properties such as food composition, structure, flow rate, physical state, and molecular properties. As well as being used as an analytical instrument in the laboratory, ultrasound can also be used for continuous monitoring of food properties on-line during processing. This article critically reviews the current status of ultrasound in the food industry, presents the basic principles of ultrasonic testing of foods, and highlights areas where ultrasound will prove to be most useful in the future.
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Dickinson, E., & McClements, D. J. (1996) · doi:10.1007/978-1-4613-1223-9 · Cited by 414
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Cited by
Proteolysis in cheese during ripening
Fox, P. F., & McSweeney, P. L. H. (1996) · Food Reviews International · doi:10.1080/87559129609541091 · Cited by 407
Effects of sonication on the physicochemical and functional properties of walnut protein isolate
Zhu, Z., Zhu, W., Yi, J., Liu, N., Cao, Y., Lu, J., Decker, E. A., & McClements, D. J. (2018) · Food Research International · doi:10.1016/j.foodres.2018.01.060 · Cited by 382
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Metadata
- Authors
- McClements, D. J., & Gunasekaran, S.
- Venue
- Critical Reviews in Food Science and Nutrition
- Publisher
- Informa UK Limited
- Published
- 1997-02
- Volume
- 37
- Issue
- 1
- Pages
- 1-46
- ISSN
- 1040-8398 (ISSN-L)
- 1549-7852
- OpenAlex
- W2129641286
- Cited by
- 274
- References
- 1
- FWCI
- 12.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- McClements, D. J., & Gunasekaran, S. (1997). Ultrasonic characterization of foods and drinks: Principles, methods, and applications. Critical Reviews in Food Science and Nutrition. https://doi.org/10.1080/10408399709527766
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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.
