Rheological and Physicochemical Properties of Mayonnaise Enriched with Functional Vegetable Oils: A Comparative Screening Study

Sixteen functional vegetable oils were incorporated at a 20% substitution level into a standard mayonnaise formulation to assess the impact of fatty acid composition on physicochemical, textural, rheological, and microstructural properties. Color analysis revealed substantial variation in yellowness (b* = 11.37–30.08) and lightness (L* = 74.39–82.31), while pH remained unaffected across all formulations (3.3–3.6). Texture analysis demonstrated that PUFA-rich oils, particularly linseed, thistle, and corn, produced markedly lower consistency values (17.02–18.68 N·s) compared to MUFA-rich counterparts (up to 69.95 N·s), indicating weaker interfacial network organization. All formulations exhibited non-Newtonian shear-thinning behavior described by the power law model (K = 90.12–130.63 Pa·sn; n = 0.162–0.249). Low-field NMR relaxometry identified three distinct proton populations reflecting differences in proton mobility, while diffusometry revealed mean droplet radii ranging from 2.653 µm (pomegranate oil) to 3.203 µm (linseed oil). Pearson correlation and principal component analysis (PCA) confirmed fatty acid unsaturation as the primary driver of droplet size distribution and textural differentiation among formulations. The study was designed as an exploratory screening of single-batch formulations, and the results are presented descriptively to identify comparative trends among the different oils. Linseed, walnut, and pomegranate oils showed favorable compositional profiles for mayonnaise reformulation, combining favorable PUFA-to-SFA ratios with acceptable emulsion stability and rheological performance.

Authors

Institutions

Publication Details

Journal
Foods
Published
2026-06-17
DOI
https://doi.org/10.3390/foods15122184
Primary Topic
Proteins in Food Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rheological and Physicochemical Properties of Mayonnaise Enriched with Functional Vegetable Oils: A Comparative Screening Study

Shakhnozakhon Gaipova, Tomasz Pawel Czaja, Umrbek Mavlanov
Foods
Proteins in Food Systems
article

Rheological and Physicochemical Properties of Mayonnaise Enriched with Functional Vegetable Oils: A Comparative Screening Study

Shakhnozakhon Gaipova, Tomasz Pawel Czaja, Umrbek Mavlanov
article en

Abstract

Sixteen functional vegetable oils were incorporated at a 20% substitution level into a standard mayonnaise formulation to assess the impact of fatty acid composition on physicochemical, textural, rheological, and microstructural properties. Color analysis revealed substantial variation in yellowness (b* = 11.37–30.08) and lightness (L* = 74.39–82.31), while pH remained unaffected across all formulations (3.3–3.6). Texture analysis demonstrated that PUFA-rich oils, particularly linseed, thistle, and corn, produced markedly lower consistency values (17.02–18.68 N·s) compared to MUFA-rich counterparts (up to 69.95 N·s), indicating weaker interfacial network organization. All formulations exhibited non-Newtonian shear-thinning behavior described by the power law model (K = 90.12–130.63 Pa·sn; n = 0.162–0.249). Low-field NMR relaxometry identified three distinct proton populations reflecting differences in proton mobility, while diffusometry revealed mean droplet radii ranging from 2.653 µm (pomegranate oil) to 3.203 µm (linseed oil). Pearson correlation and principal component analysis (PCA) confirmed fatty acid unsaturation as the primary driver of droplet size distribution and textural differentiation among formulations. The study was designed as an exploratory screening of single-batch formulations, and the results are presented descriptively to identify comparative trends among the different oils. Linseed, walnut, and pomegranate oils showed favorable compositional profiles for mayonnaise reformulation, combining favorable PUFA-to-SFA ratios with acceptable emulsion stability and rheological performance.

FoodsVol. 15(12)
University of Copenhagen (DK), Tashkent Chemical-Technological Institute (UZ)
European Commission
Openalex Percentile: Top 9%
Proteins in Food Systems
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.