Evaluation of Deterioration Parameters of Hazelnut Oil, Palm Olein and Their Blends During Repeated Deep‐Frying of Potatoes

), color (L*, a*, b*), viscosity, total polar compounds (TPC), fatty acid profile, and heat-induced contaminants 3-monochloropropane-1,2-diol esters (3-MCPD) and glycidyl esters (GE) were monitored to assess oxidative and physicochemical stability. HO, despite its high oleic acid content, exhibited the fastest deterioration, showing substantial increases in PV, p-AV, TOTOX, and spectrophotometric indices. PO demonstrated superior thermal stability due to its higher palmitic and oleic acid levels, while S showed the lowest overall deterioration but accumulated the highest levels of 3-MCPD and GE. Blends exhibited intermediate performance, with B-2 outperforming B-1, indicating the positive contribution of PO to oxidative resistance. TPC values in all samples remained below the regulatory limit of 25%, although progressive viscosity increases reflected polymerization during frying. The formation of 3-MCPD and GE intensified with frying cycles, particularly in PO and S, underscoring the importance of contaminant control in high-temperature applications. Overall, blending HO with PO improved oxidative stability and frying performance while maintaining acceptable quality indices. These findings support the potential of optimized HO-PO blends as economically and technologically viable frying oils.

Authors

Institutions

Publication Details

Journal
Food Science & Nutrition
Published
2026-04-01
DOI
https://doi.org/10.1002/fsn3.71726
Primary Topic
Edible Oils Quality and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Evaluation of Deterioration Parameters of Hazelnut Oil, Palm Olein and Their Blends During Repeated Deep‐Frying of Potatoes

Ayhan Baştürk, M. Murat CEYLAN
Food Science & Nutrition
Edible Oils Quality and Analysis
article

Evaluation of Deterioration Parameters of Hazelnut Oil, Palm Olein and Their Blends During Repeated Deep‐Frying of Potatoes

Ayhan Baştürk, M. Murat CEYLAN
article en

Abstract

), color (L*, a*, b*), viscosity, total polar compounds (TPC), fatty acid profile, and heat-induced contaminants 3-monochloropropane-1,2-diol esters (3-MCPD) and glycidyl esters (GE) were monitored to assess oxidative and physicochemical stability. HO, despite its high oleic acid content, exhibited the fastest deterioration, showing substantial increases in PV, p-AV, TOTOX, and spectrophotometric indices. PO demonstrated superior thermal stability due to its higher palmitic and oleic acid levels, while S showed the lowest overall deterioration but accumulated the highest levels of 3-MCPD and GE. Blends exhibited intermediate performance, with B-2 outperforming B-1, indicating the positive contribution of PO to oxidative resistance. TPC values in all samples remained below the regulatory limit of 25%, although progressive viscosity increases reflected polymerization during frying. The formation of 3-MCPD and GE intensified with frying cycles, particularly in PO and S, underscoring the importance of contaminant control in high-temperature applications. Overall, blending HO with PO improved oxidative stability and frying performance while maintaining acceptable quality indices. These findings support the potential of optimized HO-PO blends as economically and technologically viable frying oils.

Food Science & NutritionVol. 14(4)
Van Yüzüncü Yıl Üniversitesi (TR), Mustafa Kemal University (TR)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Openalex Percentile: Top 27%
Edible Oils Quality and Analysis
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.