Literature DB >> 8138477

Predicting intramuscular fat in beef longissimus muscle from speed of sound.

B Park1, A D Whittaker, R K Miller, D S Hale.   

Abstract

The ultrasonic A-mode method was investigated for intramuscular fat measurement of beef. Cubes of meat samples that had different marbling scores were used as specimens. Ultrasonic speed decreased with increasing fat concentration. The correlation coefficient was -.82 (P < .05). Conversely, the correlation coefficient between visual marbling score and fat concentration was .70 (P < .05). Quantitatively, from the first derivative of a nonlinear function, it was concluded that the speed decreased at a rate of 2.69 m/(s-% fat) as a function of intramuscular fat. A nonlinear regression model to predict intramuscular fat content in beef was developed as follows: percentage of fat concentration = 7132.1574-9.1222 x (speed) + 2.91803 x 10(-3) x (speed)2 (R2 = .81). The nonlinear model was capable of predicting intramuscular fat concentration with 90% accuracy (> 8% fat) and 76.4% accuracy (< 8% fat), respectively (P < .001).

Mesh:

Substances:

Year:  1994        PMID: 8138477     DOI: 10.2527/1994.721109x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  4 in total

1.  Speed of sound ultrasound: a pilot study on a novel technique to identify sarcopenia in seniors.

Authors:  Sergio J Sanabria; Katharina Martini; Gregor Freystätter; Lisa Ruby; Orcun Goksel; Thomas Frauenfelder; Marga B Rominger
Journal:  Eur Radiol       Date:  2018-10-15       Impact factor: 5.315

2.  Gene Co-expression Analysis to Characterize Genes Related to Marbling Trait in Hanwoo (Korean) Cattle.

Authors:  Dajeong Lim; Seung-Hwan Lee; Nam-Kuk Kim; Yong-Min Cho; Han-Ha Chai; Hwan-Hoo Seong; Heebal Kim
Journal:  Asian-Australas J Anim Sci       Date:  2013-01       Impact factor: 2.509

3.  Characterization of genes for beef marbling based on applying gene coexpression network.

Authors:  Dajeong Lim; Nam-Kuk Kim; Seung-Hwan Lee; Hye-Sun Park; Yong-Min Cho; Han-Ha Chai; Heebal Kim
Journal:  Int J Genomics       Date:  2014-01-30       Impact factor: 2.326

4.  Deep Learning for Ultrasound Image Formation: CUBDL Evaluation Framework and Open Datasets.

Authors:  Dongwoon Hyun; Alycen Wiacek; Sobhan Goudarzi; Sven Rothlubbers; Amir Asif; Klaus Eickel; Yonina C Eldar; Jiaqi Huang; Massimo Mischi; Hassan Rivaz; David Sinden; Ruud J G van Sloun; Hannah Strohm; Muyinatu A Lediju Bell
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-11-23       Impact factor: 2.725

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.