Related Experiment Video
Updated: May 3, 2026

Preparation of High-Quality Fermented Fish Product
Published on: August 23, 2019
Response surface methodology for predicting quality characteristics of beef patties added with flaxseed and tomato
M Valenzuela Melendres1, J P Camou2, N G Torrentera Olivera1
1Universidad Autónoma de Baja California, Instituto de Ciencias Agrícolas, Carretera a Delta/Oaxaca S/N, Ejido Nuevo León CP 21705, Valle de Mexicali, Baja California, Mexico.
Abstract:
Response surface methodology was used to study the effect of flaxseed flour (FS) and tomato paste (TP) addition, from 0 to 10% and 0 to 20% respectively, on beef patty quality characteristics. The assessed quality characteristics were color (L, a, and b), pH and texture profile analysis (TPA). Also, sensory analysis was performed for the assessment of color, juiciness, firmness, and general acceptance. FS addition reduced L and a values and decreased weight loss of cooked products (P<0.05). An opposite effect was observed when TP was added (P<0.05). All TPA parameters decreased when percentages of FS and TP were increased in the formulation of beef patties. Furthermore, FS and TP addition adversely affected the sensory characteristics of the cooked product (P<0.05); nevertheless, all sensory characteristics evaluated had an acceptable score (>5.6). Thus FS and TP are ingredients that can be used in beef patty preparation.
More Related Videos
06:00Optimization of the Epimedii Folium Mutton-Oil Processing Technology and Testing Its Effect on Zebrafish Embryonic Development
Published on: March 17, 2023
07:46Author Spotlight: Improving Beef Cattle Nutrition and Production with a Focus on Feed Efficiency and Meat Quality Traits Through Advanced Biochemical and Molecular Assays
Published on: July 12, 2024
Related Concept Videos
Protein Folding Quality Check in the RER
Moisture Content and Bulking of Aggregate
When aggregates are exposed to rain or sit in stockpiles, they absorb moisture, which must be...
Response Surface Methodology
The process of RSM involves several key steps:
Methods of Medium Optimization