scholarly journals Smart knife: technological advances towards smart cutting tools in meat industry automation

Sensor Review ◽  
2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alex Mason ◽  
Dmytro Romanov ◽  
L. Eduardo Cordova-Lopez ◽  
Steven Ross ◽  
Olga Korostynska
Keyword(s):  
Real Time ◽  
Electromagnetic Waves ◽  
Electrical Impedance ◽  
Cutting Tools ◽  
Electrical Impedance Spectroscopy ◽  
Optical Methods ◽  
Meat Industry ◽  
Meat Processing ◽  
Content Type ◽  
Industry Automation

Purpose Modern meat processing requires automation and robotisation to remain sustainable and adapt to future challenges, including those brought by global infection events. Automation of all or many processes is seen as the way forward, with robots performing various tasks instead of people. Meat cutting is one of these tasks. Smart novel solutions, including smart knives, are required, with the smart knife being able to analyse and predict the meat it cuts. This paper aims to review technologies with the potential to be used as a so-called “smart knife” The criteria for a smart knife are also defined. Design/methodology/approach This paper reviews various technologies that can be used, either alone or in combination, for developing a future smart knife for robotic meat cutting, with possibilities for their integration into automatic meat processing. Optical methods, Near Infra-Red spectroscopy, electrical impedance spectroscopy, force sensing and electromagnetic wave-based sensing approaches are assessed against the defined criteria for a smart knife. Findings Optical methods are well established for meat quality and composition characterisation but lack speed and robustness for real-time use as part of a cutting tool. Combining these methods with artificial intelligence (AI) could improve the performance. Methods, such as electrical impedance measurements and rapid evaporative ionisation mass spectrometry, are invasive and not suitable in meat processing since they damage the meat. One attractive option is using athermal electromagnetic waves, although no commercially developed solutions exist that are readily adaptable to produce a smart knife with proven functionality, robustness or reliability. Originality/value This paper critically reviews and assesses a range of sensing technologies with very specific requirements: to be compatible with robotic assisted cutting in the meat industry. The concept of a smart knife that can benefit from these technologies to provide a real-time “feeling feedback” to the robot is at the centre of the discussion.

scholarly journals Complex conductivity reconstruction in multiple frequency electrical impedance tomography for fabric-based pressure sensor

Sensor Review ◽  
2015 ◽  
Vol 35 (1) ◽  
pp. 85-97 ◽  
Author(s):  
C.L. Yang ◽  
A. Mohammed ◽  
Y Mohamadou ◽  
T. I. Oh ◽  
M. Soleimani
Keyword(s):  
Electrical Impedance Tomography ◽  
Pressure Sensor ◽  
Electrical Impedance ◽  
Pressure Sensors ◽  
Complex Impedance ◽  
Electrical Impedance Spectroscopy ◽  
Multiple Frequency ◽  
Impedance Tomography ◽  
Content Type ◽  
Pressure Mapping

Purpose – The aim of this paper is to introduce and to evaluate the performance of a multiple frequency complex impedance reconstruction for fabric-based EIT pressure sensor. Pressure mapping is an important and challenging area of modern sensing technology. It has many applications in areas such as artificial skins in Robotics and pressure monitoring on soft tissue in biomechanics. Fabric-based sensors are being developed in conjunction with electrical impedance tomography (EIT) for pressure mapping imaging. This is potentially a very cost-effective pressure mapping imaging solution in particular for imaging large areas. Fabric-based EIT pressure sensors aim to provide a pressure mapping image using current carrying and voltage sensing electrodes attached on the boundary of the fabric patch. Design/methodology/approach – Recently, promising results are being achieved in conductivity imaging for these sensors. However, the fabric structure presents capacitive behaviour that could also be exploited for pressure mapping imaging. Complex impedance reconstructions with multiple frequencies are implemented to observe both conductivity and permittivity changes due to the pressure applied to the fabric sensor. Findings – Experimental studies on detecting changes of complex impedance on fabric-based sensor are performed. First, electrical impedance spectroscopy on a fabric-based sensor is performed. Secondly, the complex impedance tomography is carried out on fabric and compared with traditional EIT tank phantoms. Quantitative image quality measures are used to evaluate the performance of a fabric-based sensor at various frequencies and against the tank phantom. Originality/value – The paper demonstrates for the first time the useful information on pressure mapping imaging from the permittivity component of fabric EIT. Multiple frequency EIT reconstruction reveals spectral behaviour of the fabric-based EIT, which opens up new opportunities in exploration of these sensors.

Real-time and on-line monitoring of morphological cell parameters using electrical impedance spectroscopy measurements

2015 ◽  
Vol 91 (6) ◽  
pp. 1755-1762 ◽  
Author(s):  
Enric Sarró ◽  
Martí Lecina ◽  
Andreu Fontova ◽  
Francesc Gòdia ◽  
Ramon Bragós ◽  
...  
Keyword(s):  
Impedance Spectroscopy ◽  
Real Time ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy ◽  
Cell Parameters ◽  
On Line

Real-time monitoring of amyloid fibrillation by electrical impedance spectroscopy

2017 ◽  
Vol 160 ◽  
pp. 724-731
Author(s):  
Rafael R. da Silva ◽  
Sandro V. de Lima ◽  
Helinando P. de Oliveira ◽  
Celso P. de Melo ◽  
Isaac A.M. Frías ◽  
...  
Keyword(s):  
Impedance Spectroscopy ◽  
Real Time ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy ◽  
Real Time Monitoring ◽  
Amyloid Fibrillation

Monitoring cell endocytosis of liposomes by real-time electrical impedance spectroscopy

2020 ◽  
Vol 412 (24) ◽  
pp. 6371-6380
Author(s):  
Claudia Caviglia ◽  
Francesca Garbarino ◽  
Chiara Canali ◽  
Fredrik Melander ◽  
Roberto Raiteri ◽  
...  
Keyword(s):  
Impedance Spectroscopy ◽  
Real Time ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy

scholarly journals Real-Time Analysis of the Stability of Oil-In-Water Pickering Emulsion by Electrochemical Impedance Spectroscopy

Molecules ◽  
2020 ◽  
Vol 25 (12) ◽  
pp. 2904
Author(s):  
Qiuyan Jiang ◽  
Ning Sun ◽  
Parveen Kumar ◽  
Qiuhong Li ◽  
Bo Liu ◽  
...  
Keyword(s):  
Particle Size ◽  
Impedance Spectroscopy ◽  
Silica Nanoparticles ◽  
Real Time ◽  
Electrical Impedance ◽  
Pickering Emulsion ◽  
Electrical Impedance Spectroscopy ◽  
Water Emulsion ◽  
Oil In Water ◽  
The Stability

In this paper, electrical impedance spectroscopy (EIS) was applied to investigate the stability of oil-in-water (O/W) Pickering emulsions prepared with negatively charged silica nanoparticles in combination with a trace amount of redox switchable fluorescent molecules, ferrocene azine (FcA). Electrical impedance values of emulsions obtained at different emulsification speeds were estimated according to the frequency response data with frequencies ranging from 1 MHz to 1 Hz. The equivalent circuit model of toluene-in-water emulsion was established by the resistor (RO/W) and capacitor (CO/W) in parallel connection. Nyquist diagrams for the emulsions prepared by toluene and water were characterized by the formation of one semi-circle. The droplet size distribution is one of the important factors that affect the stability of the emulsion, except for the volume fraction of water and oil, the size of stabilizing particles, etc. The average particle size of the emulsion droplets decreased as the emulsification speed increased, indicating the higher stability of the emulsion. It was found that the fitted impedance value RO/W of the emulsion decreased with decreasing particle size prepared at different emulsification speeds and storage time by performing real-time EIS detection techniques. The results suggested that EIS could be used to characterize the stability of a toluene-in-water emulsion stabilized by FcA modified silica nanoparticles. Moreover, based on the good electrochemical activity of the FcA molecule, the stability of the Pickering emulsion can be modulated by adding oxidant and reductant and detected by EIS in real-time.

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