Effect of Dynamic Ultra‐High Pressure Microfluidization on the Properties of Potato Starch Fat Mimetics

Abstract Dynamic ultra‐high pressure microfluidization technology is employed to enhance the application of common enzymatic hydrolysis potato starch (PS)‐based fat mimetic through ultrafine particle treatment. The individual effects of treatment pressure, repetition, and feed concentration on the particle size and polymer dispersion index (PDI) of the resulting ultrafine PS‐based fat mimetics are assessed using PS‐based fat mimetics with a dextrose equivalent (DE) value of 2.4. Additionally, the physicochemical properties of the PS‐based fat mimetics obtained before and after ultrafine treatment are compared. The results indicate that the optimum ultra‐micronization parameters are subject to ten treatments at 200 MPa with a feed concentration of 3%. The optimal ultrafine fat mimetic has an average particle size of 532.40 nm and a PDI of 0.448, in comparison to enzymatically hydrolyzed fat mimics. Compared with the enzymatically hydrolyzed PS‐based fat mimetic, the oil‐holding capacity, emulsification index (E1), and emulsion stability index are improved, while the apparent viscosity, transparency, and retrogradation decrease in the fat mimetic obtained under the optimal ultra‐micronization treatment. The optimal treatment not only alters the surface morphology of the PS‐based fat mimetic particles but also significantly decreases the particle size and the number of spherical particles, with the underlying chemical structure remaining unaffected.

Authors

Institutions

Publication Details

Journal
Starch - Stärke
Published
2024-09-05
DOI
https://doi.org/10.1002/star.202300249
Citations
2
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
0.62
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of Dynamic Ultra‐High Pressure Microfluidization on the Properties of Potato Starch Fat Mimetics

Ying Zheng, Suying Hao, Mingyuan Li, Yaping Yong et al.
2 citations
Starch - Stärke
Food composition and properties
0.62
article

Effect of Dynamic Ultra‐High Pressure Microfluidization on the Properties of Potato Starch Fat Mimetics

Ying Zheng, Suying Hao, Mingyuan Li, Yaping Yong, Yang Xiao-qing, Jinhong Wu
article en
2 citations

Abstract

Abstract Dynamic ultra‐high pressure microfluidization technology is employed to enhance the application of common enzymatic hydrolysis potato starch (PS)‐based fat mimetic through ultrafine particle treatment. The individual effects of treatment pressure, repetition, and feed concentration on the particle size and polymer dispersion index (PDI) of the resulting ultrafine PS‐based fat mimetics are assessed using PS‐based fat mimetics with a dextrose equivalent (DE) value of 2.4. Additionally, the physicochemical properties of the PS‐based fat mimetics obtained before and after ultrafine treatment are compared. The results indicate that the optimum ultra‐micronization parameters are subject to ten treatments at 200 MPa with a feed concentration of 3%. The optimal ultrafine fat mimetic has an average particle size of 532.40 nm and a PDI of 0.448, in comparison to enzymatically hydrolyzed fat mimics. Compared with the enzymatically hydrolyzed PS‐based fat mimetic, the oil‐holding capacity, emulsification index (E1), and emulsion stability index are improved, while the apparent viscosity, transparency, and retrogradation decrease in the fat mimetic obtained under the optimal ultra‐micronization treatment. The optimal treatment not only alters the surface morphology of the PS‐based fat mimetic particles but also significantly decreases the particle size and the number of spherical particles, with the underlying chemical structure remaining unaffected.

Starch - StärkeVol. 77(2)
Inner Mongolia Agricultural University (CN), Shanghai Jiao Tong University (CN), Hetao College (CN)
Openalex Percentile: Top 33%
Food composition and properties
0.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.