Beef meat electrical impedance spectroscopy and anisotropy sensing for non-invasive early assessment of meat ageing

2008 ◽  
Vol 85 (1) ◽  
pp. 116-122 ◽  
Author(s):  
Jean-Louis Damez ◽  
Sylvie Clerjon ◽  
Saïd Abouelkaram ◽  
Jacques Lepetit
Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 1001
Author(s):  
Sooin Huh ◽  
Hye-Jin Kim ◽  
Seungah Lee ◽  
Jinwoo Cho ◽  
Aera Jang ◽  
...  

This study presents a system for assessing the freshness of meat with electrical impedance spectroscopy (EIS) in the frequency range of 125 Hz to 128 kHz combined with an image classifier for non-destructive and low-cost applications. The freshness standard is established by measuring the aerobic plate count (APC), 2-thiobarbituric acid reactive substances (TBARS), and composition analysis (crude fat, crude protein, and moisture) values of the microbiological detection to represent the correlation between EIS and meat freshness. The EIS and images of meat are combined to predict the freshness with the Adaboost classification and gradient boosting regression algorithms. As a result, when the elapsed time of beef storage for 48 h is classified into three classes, the time prediction accuracy is up to 85% compared to prediction accuracy of 56.7% when only images are used without EIS information. Significantly, the relative standard deviation (RSD) of APC and TBARS value predictions with EIS and images datum achieves 0.890 and 0.678, respectively.


2004 ◽  
Vol 49 (5) ◽  
pp. 665-683 ◽  
Author(s):  
K Sunshine Osterman ◽  
P Jack Hoopes ◽  
Christine DeLorenzo ◽  
David J Gladstone ◽  
Keith D Paulsen

2019 ◽  
Author(s):  
A. H. Dell’Osa ◽  
A. Concu ◽  
F. R. Dobarro ◽  
J. C. Felice

AbstractThe fracture of long bones is one of the pathologies of greater demand of systems of medical emergencies, the method used for the diagnosis, the radiology of X-rays, produces damages to the patients and to the hospitals environment. For these reasons, our group is studying the implementation of a new diagnostic technique for the detection of bone fractures by bioimpedance measurements. To simulate a limb, two phantom of bovine femurs (the one with an entire bone and the other with a sawn bone) were constructed and non-invasive Electrical Impedance Spectroscopy measurements were taken on them in order to identify differences in their respective Cole Cole diagrams. Impedance spectroscopy was performed by a frequency sweep between 1 Hz and 65 kHz at a fixed current of 1 mA. The results obtained show wide differences in the Cole Cole diagrams of both phantoms (entire and fractured bone), especially concerning the real component of the, which latter, around the bones section corresponding to that of the lesion in both femurs, was always lower in the fractured femur than the entire one. These first superficial (non-invasive) measurements correspond to the electrical impedance spectroscopy bases and these could -in turn- correspond to what occurs in mammals immediately after the fracture happens, i. e. a dramatic increase in electrical conductivity due to diffusion into the fracture site of more conductive materials such as the blood and the extravascular fluids.


Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4358
Author(s):  
Alberto Olmo ◽  
Miguel Hernández ◽  
Ernesto Chicardi ◽  
Yadir Torres

Porous titanium is a metallic biomaterial with good properties for the clinical repair of cortical bone tissue, although the presence of pores can compromise its mechanical behavior and clinical use. It is therefore necessary to characterize the implant pore size and distribution in a suitable way. In this work, we explore the new use of electrical impedance spectroscopy for the characterization and monitoring of titanium bone implants. Electrical impedance spectroscopy has been used as a non-invasive route to characterize the volumetric porosity percentage (30%, 40%, 50% and 60%) and the range of pore size (100–200 and 355–500 mm) of porous titanium samples obtained with the space-holder technique. Impedance spectroscopy is proved to be an appropriate technique to characterize the level of porosity of the titanium samples and pore size, in an affordable and non-invasive way. The technique could also be used in smart implants to detect changes in the service life of the material, such as the appearance of fractures, the adhesion of osteoblasts and bacteria, or the formation of bone tissue.


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