2018
DOI: 10.1016/j.foodchem.2018.02.031
|View full text |Cite
|
Sign up to set email alerts
|

Effect of animal age on the nutritional and physicochemical qualities of ovine bresaola

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
12
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 20 publications
(15 citation statements)
references
References 34 publications
3
12
0
Order By: Relevance
“…Textures Analyzer (Perten Instruments, Sweden) with a cylindrical probe of 5 cm diameter (Bourne, 1978;Mejri et al, 2017;Starkey, Geesink, van de Ven, & Hopkins, 2017). From the force-deformation curves of the first two cycles of the compression test, the measured variables of texture were as follows: hardness (N) = the maximum height of the first force-deformation curve during the first cycle of compression, representing the necessary maximum force to compress the sample, and resilience = the ratio of the area during the withdrawal of the first penetration, divided by the area of the first compression, representing the aptitude of a product to recover from deformation both in terms of speed and force and to regain its original shape and size after being compressed (Zhang, Yoo, Gathercole, Reis, & Farouk, 2018). These texture parameters were measured in duplicate, and they simulate the conditions to which meat is exposed in the mouth and how easier to be chewed (Novaković & Tomašević, 2017).…”
Section: Meat Texture Analysesmentioning
confidence: 99%
“…Textures Analyzer (Perten Instruments, Sweden) with a cylindrical probe of 5 cm diameter (Bourne, 1978;Mejri et al, 2017;Starkey, Geesink, van de Ven, & Hopkins, 2017). From the force-deformation curves of the first two cycles of the compression test, the measured variables of texture were as follows: hardness (N) = the maximum height of the first force-deformation curve during the first cycle of compression, representing the necessary maximum force to compress the sample, and resilience = the ratio of the area during the withdrawal of the first penetration, divided by the area of the first compression, representing the aptitude of a product to recover from deformation both in terms of speed and force and to regain its original shape and size after being compressed (Zhang, Yoo, Gathercole, Reis, & Farouk, 2018). These texture parameters were measured in duplicate, and they simulate the conditions to which meat is exposed in the mouth and how easier to be chewed (Novaković & Tomašević, 2017).…”
Section: Meat Texture Analysesmentioning
confidence: 99%
“…A tender meat is defined as the meat of the shear force value ≤88 N (9 kgF) measured by the MIRINZ tenderometer [25]. e texture profile of long-term frozen in-bag dry-aged lean beef was analysed using texture profile analysis (TPA) according the procedure described by Zhang et al [26]. In brief, a cube (1 cm 3 ) was measured using Stable Micro Systems TA.HD Plus texture analyser (Surry, UK) with a 50 mm cylinder probe at 50% strain setting using a test speed of 5.0 m·s −1 .…”
Section: Cook Lossmentioning
confidence: 99%
“…However, most dry‐cured hams in the market are made of pork (Harkouss et al, ; Martínez‐Arellano et al, ; Petrova, Aasen, Rustad, & Eikevik, ; Toldra, ). Mutton, a high‐protein, low‐fat, and low‐cholesterol meat, is expected to gain popularity as an alternative to pork in dry‐cured hams (Zhang, Yoo, Gathercole, Reis, & Farouk, ). Mutton is widely consumed in European Mediterranean countries and other regions around the world where it has a strong traditional component (Schirmer, Wiik‐Nielsen, & Skaar, ).…”
Section: Introductionmentioning
confidence: 99%
“…Mutton, a high-protein, low-fat, and low-cholesterol meat, is expected to gain popularity as an alternative to pork in dry-cured hams (Zhang, Yoo, Gathercole, Reis, & Farouk, 2018). Mutton is widely consumed in European Mediterranean countries and other regions around the world where it has a strong traditional component (Schirmer, Wiik-Nielsen, & Skaar, 2018).…”
mentioning
confidence: 99%