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A novel methodology combining microscopy observation with Artificial Neural Networks (ANNs) and realized by machine learning algorithms for the study of starch gelatinization was developed. As the most critical part during object detection, an improved starch single shot multi-box detector (starch-SSD) originated from ANNs was purposely designed and applied in monitoring the morphological changes...
A shear and extensional rheological profiling of okra mucilage is presented, comprising the results of measurements at pH 7.0 and at pH 4.0, as to obtain information on this hydrocolloid's mechanical and self-assembly properties, along with supporting data from nanoparticle tracking analysis. The results are compared to new data on the extensional viscosity of another hydrocolloid, carboxymethyl cellulose...
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