Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Optical Coherence Imaging Techniques and Imaging in Scattering Media III
  • SPIE Proceedings (Optica Publishing Group, 2019),
  • paper 11078_64
  • https://doi.org/10.1117/12.2526897

Optical coherence tomography to predict the quality of meat

Not Accessible

Your library or personal account may give you access

Abstract

The key quality parameters of meat that determine our eating experience are the percentage of intramuscular fat (IMF), the tenderness and the pH of meat. Existing methods to determine the quality of meat are chemical or mechanical which are often slow, destructive and have huge sampling errors. Polarisation sensitive Optical coherence tomography (PS-OCT) is a new fast, non-contact and non-destructive technique with a few microns resolution up to a few millimeters deep in tissues as opaque as meat. We use PS-OCT to measure the attenuation and birefringence of meat samples to determine their IMF content and tenderness. The attenuation of light in fat and muscle was studied to find that the attenuation coefficient in fat is 9 times greater than in muscle, which provides a way to study and predict the IMF content in meat samples. Also the phase image tells about the changes in the polarisation of light due to the birefringence of muscle, which varies with tenderness and can be analysed to predict the tenderness of meat. To make make prediction models, the OCT results are compared to gas chromatographyflame ionization detection (GC-FID) fat estimate and Warner-Bratzler tenderness estimate results.

© 2019 SPIE/OSA

PDF Article
More Like This
Spectral approach to time domain Diffuse Optical Tomography for breast cancer: Validation on meat phantoms

Edoardo Ferocino, Giuseppe Di Sciacca, Laura Di Sieno, Alberto Dalla Mora, Antonio Pifferi, Simon Arridge, Fabrizio Martelli, Paola Taroni, and Andrea Farina
11074_7 European Conference on Biomedical Optics (ECBO) 2019

Optical Coherence Tomography for the Assessment of Paper Quality

Markus Butzbach, André Malz, and Wilhelm Stork
SWD4 Optical Sensors (Sensors) 2010

Quality inspection of solar cells by optical coherence tomography

Huiqing Liu, Ya Su, X. Steve Yao, Changjiang Wei, and Zhihong Li
JTh2A.9 CLEO: Applications and Technology (CLEO:A&T) 2016

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved