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Paul M. Baldwin

Researcher at Institut national de la recherche agronomique

Publications -  6
Citations -  1411

Paul M. Baldwin is an academic researcher from Institut national de la recherche agronomique. The author has contributed to research in topics: Starch & Granule (cell biology). The author has an hindex of 6, co-authored 6 publications receiving 1323 citations.

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Journal ArticleDOI

Microscopy of starch : evidence of a new level of granule organization

TL;DR: In this paper, the structural level of the granule involves the organization of the amylopectin lamellae into effectively spherical "blocklets" which range in diameter from 20 to 500 nm depending on starch botanical type and their location in granule, and the presence of short, radial "channels" of amorphous material within starch granules from some starch varieties.
Book ChapterDOI

Chapter 5 – Structural Features of Starch Granules I

TL;DR: The amylose and amylopectin molecules, the granule structure, and the natures and amounts of the lipid and protein molecules present in granules vary with the botanical source of the starch as mentioned in this paper.
Journal ArticleDOI

Involvement of the protein network in the in vitro degradation of starch from spaghetti and lasagne: a microscopic and enzymic study.

TL;DR: Starch or protein presence hinders the action of the enzyme, which does not degrade it, and new physico-chemical factors related to food structure should be considered in the enzymic degradation of pasta.
Journal ArticleDOI

Influence of technological modifications of the protein network from pasta on in vitro starch degradation

TL;DR: In this paper, the three-dimensional structure of the protein network from protein-enriched pasta was observed, and suggested that increased starch encapsulation may explain the reduced accessibility of starch to alpha-amylases.
Journal ArticleDOI

Textural Images Analysis of Pasta Protein Networks to Determine Influence of Technological Processes

TL;DR: In this paper, the protein network textures of various cooked pasta products through textural image analysis were analyzed using confocal laser scanning microscopy and principal component, stepwise discriminant, and variance analyses.