Predicting the Textural Properties of Plant-Based Meat Analogs with Machine Learning.

Plant-based meat analogs are food products that mimic the appearance, texture, and taste of real meat. The development process requires laborious experimental iterations and expert knowledge to meet consumer expectations. To address these problems, we propose a machine learning (ML)-based framework to predict the textural properties of meat analogs.

Accurate Determination of the Quantity and Spatial Distribution of Counterions around a Spherical Macroion.

The accurate distribution of countercations (Rb and Sr ) around a rigid, spherical, 2.9-nm size polyoxometalate cluster, {Mo } , is determined by anomalous small-angle X-ray scattering. Both Rb and Sr ions lead to shorter diffuse lengths for {Mo } than prediction.