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Quantifying Fiber Formation in Meat Analogs under High Moisture Extrusion using Image Processing

机译:使用图像处理定量分析高水分挤压下肉类类似物中的纤维形成

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High moisture extrusion using twin-screw extruders shows great promise of producing meat analog products with vegetable proteins. The resulting products have well defined fiber formations; resemble real meat in both visual appearance and taste sensation. Developing reliable non-destructive techniques to quantify the textural properties of extrudates is important for quality control in the manufacturing process. In this study, we developed an image processing technique to automatically characterize sample fiber formation using digital imaging. The algorithm is based on statistical analysis of Hough transform. This objective method can be used as a standard method for evaluating other non-invasive methods. We have compared the fiber formation indices measured using this technique and a non-invasive fluorescence polarization method and obtained a high correlation.
机译:使用双螺杆挤出机进行高水分挤出显示出用植物蛋白生产肉类类似产品的巨大希望。所得产品具有明确的纤维形成;在外观和味觉上都类似于真实的肉。开发可靠的非破坏性技术以量化挤出物的质地特性对于制造过程中的质量控制非常重要。在这项研究中,我们开发了一种图像处理技术,可使用数字成像自动表征样品纤维的形成。该算法基于霍夫变换的统计分析。该客观方法可以用作评估其他非侵入性方法的标准方法。我们已经比较了使用该技术和非侵入性荧光偏振法测得的纤维形成指数,并获得了高度相关性。

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