Seeing the unseen: Laser speckles as a tool for coagulation tracking

The ability to measure protein functionality is critical for the development of plant-based products, particularly with respect to gelation behavior, which is vital for food structure and texture. Small amplitude oscillatory shear (SAOS) tests remain the standard for monitoring protein gelation; how...

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Bibliographic Details
Main Authors: Haessig Christoph, Møller Flemming
Format: Article
Language:English
Published: De Gruyter 2025-06-01
Series:Applied Rheology
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Online Access:https://doi.org/10.1515/arh-2025-0043
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Summary:The ability to measure protein functionality is critical for the development of plant-based products, particularly with respect to gelation behavior, which is vital for food structure and texture. Small amplitude oscillatory shear (SAOS) tests remain the standard for monitoring protein gelation; however, these methods are costly, time-consuming, and require physical contact with the sample. Laser speckle rheology, an optical-based technique, offers a contactless alternative by assessing rheological properties through speckle pattern fluctuations. In this work, we present a simple laser speckle rheology setup, utilizing a diode laser and a digital camera, to monitor rheological changes during the rennet coagulation of milk. We use a viscoelasticity index (VI), derived from a two-dimensional linear correlation, to quantify speckle pattern fluctuations. The laser speckle rheology method is compared with conventional SAOS rheology. Results demonstrate that key characteristics of the coagulation process, including coagulation and gelation times, are temporally aligned between the two methods. Furthermore, the VI allows for the comparison of the complex modulus in samples with similar compositions under consistent acquisition parameters. These findings underscore the potential of laser speckle rheology as a cost-effective, rapid, and contactless approach for capturing protein gelation, providing an alternative to conventional shear rheological methods.
ISSN:1617-8106