Physicochemical characterization of changes in pea protein as the result of cold extrusion.

Pea protein is a popular plant-based protein for mimicking textures in meat and dairy analogues which are more sustainable than their animal-based counterparts. However, precise mechanisms for generating specific textures through different processing methods are still being evaluated. This work utilizes a novel low-temperature extrusion process to selectively alter the chemical structure of pea protein.

Applying text mining to identify relevant literature in food science: Cold denaturation as a case study.

In a research environment characterized by the five V's of big data, volume, velocity, variety, value, and veracity, the need to develop tools that quickly screen a large number of publications into relevant work is an increasing area of concern, and the data-rich food industry is no exception. Here, a combination of latent Dirichlet allocation and food keyword searches were employed to analyze and filter a dataset of 6102 publications about cold denaturation. After using the Python toolkit generated in this work, the approach yielded 22 topics that provide background and insight on the direction of research in this field, as well as identified the publications in this dataset which are most pertinent to the food industry with precision and recall of 0.