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Chen, Lan; Opara, Umezuruike Linus
Journal of food engineering, 12/2013, Volume: 119, Issue: 3Journal Article
•Principles of texture analysis and modeling methods and their applications are reviewed.•Different methods of texture profile analysis, indices and modeling approaches are covered.•Advantages and limitations of different texture analysis approaches are discussed. Texture analysis and modeling are important techniques in food and postharvest research and industrial practice. A wide range of methods have been used to evaluate instrumental results, which provide time-series data of product deformation, thereby allowing a wide range of texture attributes to be calculated from force–time or force–displacement data. Several indices of texture such as the firmness index, crunchiness index and texture index based on “vibration energy density” have been reported, but these are not widely used to quantify food texture. Some modeling and statistical approaches have been adopted to analyze food texture data, including chemical reaction kinetics and the Michaelis–Menton type decay function, mechanistic autocatalytic models based on logistic equation, and the finite element method. However, increasing demand for comprehensive approaches to texture profile analysis, generalized texture indices and fundamental texture models still remain challenges in the food research and industry.
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