Characterizing fiber formation in meat analogs using an anisotropic photon migration model

J. Ranasinghesagara; F. Hsieh; G. Yao

doi:10.1117/12.684747

23 October 2006 Characterizing fiber formation in meat analogs using an anisotropic photon migration model

J. Ranasinghesagara, F. Hsieh, G. Yao

Proceedings Volume 6381, Optics for Natural Resources, Agriculture, and Foods; 63810D (2006) https://doi.org/10.1117/12.684747
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

Abstract

Animal meat products may not be the best choice for many people in the world due to various reasons such as cost, health problems, or religious restrictions. High moisture (40-80%) extrusion technology shows a great promise for texturizing vegetable proteins into fibrous meat alternatives. Soy protein which is healthy, highly nutritious, low in both fat and carbohydrate has been used in high moisture extrusion process to produce meat analogs with well formed fiber that resemble chicken or turkey breast meat. Assessing fiber formation in extruded products is important for controlling extrusion quality in manufacturing process. Although several methods have been studied for quantifying fiber formation in extrudates, their applications for real time quality control in manufacturing process have been challenging. We explored the possibility of applying a nondestructive method based on backscattered reflectance to measure the fiber formation of extruded soy proteins. An image processing method was developed to extract the light reflectance profile at the extrudates' surface. We applied the anisotropic continuous time random walk (CTRW) theory to quantitatively describe the fiber formation in extrudates based on extracted surface reflectance profiles. This method has a potential to be used as a non-destructive, fast, real time quality control tool for products with fibrous structures.

Citation Download Citation

J. Ranasinghesagara, F. Hsieh, and G. Yao "Characterizing fiber formation in meat analogs using an anisotropic photon migration model", Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 63810D (23 October 2006); https://doi.org/10.1117/12.684747

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