Texture Analysis

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The present research evaluated the use of oil mixture emulsion hydrogels as animal fat replacers and their effect on the physicochemical, nutritional and sensory characteristics of pork burgers. Three different types of burgers were manufactured: control (samples elaborated with 100% pork fat), T1 and T2 (pork fat totally replaced by emulsion hydrogels of walnut or pistachio oil and algal oil, respectively). Fat replacement increased the moisture and ash contents and colour parameters (L* and b*) of pork burgers. Modified samples turned out to be firmer and chewier than those in the control group. The addition of oil emulsion hydrogels caused a significant decrease in fat and energy contents and the products obtained can be considered “reduced fat content”. Moreover, the content of saturated fatty acids decreased, while mono- and polyunsaturated fatty acids increased, constituting an improvement in health indices. Sensory differences were found between the samples and T2 was the most preferred for flavour and overall. However, both modified burgers had good levels of acceptability. To conclude, the use of the proposed oil mixture emulsion hydrogels as pork backfat substitutes represents a promising strategy to obtain healthier pork burgers without negatively affecting technological or sensory properties.

Section: Methodsmentioning

confidence: 99%

Use of Healthy Emulsion Hydrogels to Improve the Quality of Pork Burgers

Foggiaro

Domínguez

Pateiro

et al. 2022

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“…The measurement was recorded as the average yield force in kilograms (Kgf), required to shear perpendicularly to the direction of the fibers. All procedures were carried out at room temperature according to [ 31 ]. The collagen content was estimated by measuring the hydroxyproline concentration following the Portuguese Standard NP 1987 [ 32 ].…”

Section: Methodsmentioning

confidence: 99%

Can the Introduction of Different Olive Cakes Affect the Carcass, Meat and Fat Quality of Bísaro Pork?

Leite

Domínguez

Vasconcelos

et al. 2022

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The present study aimed to evaluate the effect of the inclusion of different olive cakes in the diet of Bísaro pigs on the carcass, meat and fat. The carcasses of 40 animals fed a diet with five treatments (T1—Basic diet and commercial feed; T2—Basic diet + 10% crude olive cake; T3—Basic diet + 10% olive cake, two phases; T4—Basic diet + 10% exhausted olive cake; T5—Basic diet + 10% exhausted olive cake + 1% olive oil) were used to study the effect on carcass traits, physicochemical meat quality and lipid composition of meat and backfat. There were no significant differences between treatments for the conformation measurements performed, except for the length at the seventh and last rib (p < 0.05). The percentage of prime cuts of the carcass in Bísaro pig is within the values indicated by the Portuguese Standard 2931. No significant differences between treatments for body weight, pH and carcass weight were found. The values of ultimate pH (5.7), L* (51–52), b* (11–12) and SF (3.4–4.2) observed confirm a non-exudative and firm meat without quality deviations, such as DFD or PSE. Thus, as a general conclusion, the inclusion of different olive cakes in the diet of Bísaro pigs did not cause any negative consequences on the carcass characteristics and conformation as well as in the meat and lipidic quality. In addition, the inclusion of this olive industry by-product in the animal diet would be an important contribution to solving the problem of the great environmental impact from olive-mill wastewaters from the extractive industries.

SVM Regression to Assess Meat Characteristics of Bísaro Pig Loins Using NIRS Methodology

Vasconcelos

Dias

Leite

et al. 2023

This study evaluates the ability of the near infrared reflectance spectroscopy (NIRS) to estimate the aW, protein, moisture, ash, fat, collagen, texture, pigments, and WHC in the Longissimus thoracis et lumborum (LTL) of Bísaro pig. Samples (n = 40) of the LTL muscle were minced and scanned in an FT-NIR MasterTM N500 (BÜCHI) over a NIR spectral range of 4000–10,000 cm−1 with a resolution of 4 cm−1. The PLS and SVM regression models were developed using the spectra’s math treatment, DV1, DV2, MSC, SNV, and SMT (n = 40). PLS models showed acceptable fits (estimation models with RMSE ≤ 0.5% and R2 ≥ 0.95) except for the RT variable (RMSE of 0.891% and R2 of 0.748). The SVM models presented better overall prediction results than those obtained by PLS, where only the variables pigments and WHC presented estimation models (respectively: RMSE of 0.069 and 0.472%; R2 of 0.993 and 0.996; slope of 0.985 ± 0.006 and 0.925 ± 0.006). The results showed NIRs capacity to predict the meat quality traits of Bísaro pig breed in order to guarantee its characterization.