ELECTRICAL IMPEDANCE SPECTROSCOPY AND TOMOGRAPHY: APPLICATIONS ON PLANT CHARACTERIZATION

World population will grow to 9.6 billion by 2050 and global food production needs to be increased by 70% to feed the increased population. Hence, better insight into plant physiology can impart better quality in fruits, vegetables, and crops, and eventually contribute to food security and sustainability. In this direction, this thesis utilizes electrical sensing technology, electrical impedance spectroscopy (EIS) and tomography (EIT), for better understanding and characterization of a number of physiological and structural aspects of the plant. It investigates the dehydration process in onion and ripening process in avocado by EIS, and perform 3D structural imaging of root by EIT. The thesis tracks and analyzes the dynamics of natural dehydration in onion and also assesses its moisture content using EIS. The work develops an equivalent electrical circuit that simulates the response of the onion undergoing natural drying for a duration of three weeks. The developed electrical model shows better congruence with the experimental data when compared to other conventional models for plant tissue with a mean absolute error of 0.42% and root mean squared error of 0.55%. Moreover, the study attempts to find a correlation between the measured impedance data and the actual moisture content of the onions under test (measured by weighing) and develops a simple mathematical model. This model provides an alternative tool for assessing the moisture content of onion nondestructively. The model shows excellent correlation with the ground truth data with a deterministic coefficient of 0.977, root mean square error of 0.030 and sum of squared error of 0.013. Next, the thesis presents an approach that will integrate EIS and machine learning technique that allows us to monitor ripening degree of avocado. It is evident from this study that the impedance absolute magnitude of avocado gradually decreases as the ripening stages (firm, breaking, ripe and overripe) proceed at a particular frequency. In addition, Principal component analysis shows that impedance magnitude (two principal components combined explain 99.95% variation) has better discrimination capabilities for ripening degrees compared to impedance phase angle, impedance real part, and impedance imaginary part. The developed classifier utilizes two principal component features over 100 EIS responses and demonstrate classification over firm, breaking, ripe and overripe stages with an accuracy of 90%, precision of 93%, recall of 90%, f1-score of 90% and an area under ROC curve (AUC) of 88%. Later on, this thesis presents the design, development, and implementation of a low-cost EIT system and analyzes root imaging as well. The designed prototype consists of an electrode array system, an Impedance analyzer board, 2 multiplexer units, and an Arduino. The Eval-Ad5933-EBZ is used for measuring the bio-impedance of the root, and two CD74HC4067 Multiplexers are used as electrode switching unit. Measuring and data collecting are controlled by the Arduino, and data storage is performed in a PC. By performing Finite Element Analysis and solving forward and inverse problem, the tomographic image of the root is reconstructed. The system is able to localize and build 2D and 3D tomographic image of root in a liquid medium. This proposed low-cost and easy-to-access system enables the users to capture the repetitive, noninvasive and non-destructive image of a plant root. Furthermore, the study proposes a simple mathematical model, based on ridge regression, which can predict root biomass from EIT data nondestructively with an accuracy of more than 93%. Thus, this study offers plant scientists and crop consultants the ability to better understand plant physiology nondestructively and noninvasively

ELECTRICAL IMPEDANCE SPECTROSCOPY AND TOMOGRAPHY: APPLICATIONS ON PLANT CHARACTERIZATION

World population will grow to 9.6 billion by 2050 and global food production needs to be increased by 70% to feed the increased population. Hence, better insight into plant physiology can impart better quality in fruits, vegetables, and crops, and eventually contribute to food security and sustainability. In this direction, this thesis utilizes electrical sensing technology, electrical impedance spectroscopy (EIS) and tomography (EIT), for better understanding and characterization of a number of physiological and structural aspects of the plant. It investigates the dehydration process in onion and ripening process in avocado by EIS, and perform 3D structural imaging of root by EIT. The thesis tracks and analyzes the dynamics of natural dehydration in onion and also assesses its moisture content using EIS. The work develops an equivalent electrical circuit that simulates the response of the onion undergoing natural drying for a duration of three weeks. The developed electrical model shows better congruence with the experimental data when compared to other conventional models for plant tissue with a mean absolute error of 0.42% and root mean squared error of 0.55%. Moreover, the study attempts to find a correlation between the measured impedance data and the actual moisture content of the onions under test (measured by weighing) and develops a simple mathematical model. This model provides an alternative tool for assessing the moisture content of onion nondestructively. The model shows excellent correlation with the ground truth data with a deterministic coefficient of 0.977, root mean square error of 0.030 and sum of squared error of 0.013. Next, the thesis presents an approach that will integrate EIS and machine learning technique that allows us to monitor ripening degree of avocado. It is evident from this study that the impedance absolute magnitude of avocado gradually decreases as the ripening stages (firm, breaking, ripe and overripe) proceed at a particular frequency. In addition, Principal component analysis shows that impedance magnitude (two principal components combined explain 99.95% variation) has better discrimination capabilities for ripening degrees compared to impedance phase angle, impedance real part, and impedance imaginary part. The developed classifier utilizes two principal component features over 100 EIS responses and demonstrate classification over firm, breaking, ripe and overripe stages with an accuracy of 90%, precision of 93%, recall of 90%, f1-score of 90% and an area under ROC curve (AUC) of 88%. Later on, this thesis presents the design, development, and implementation of a low-cost EIT system and analyzes root imaging as well. The designed prototype consists of an electrode array system, an Impedance analyzer board, 2 multiplexer units, and an Arduino. The Eval-Ad5933-EBZ is used for measuring the bio-impedance of the root, and two CD74HC4067 Multiplexers are used as electrode switching unit. Measuring and data collecting are controlled by the Arduino, and data storage is performed in a PC. By performing Finite Element Analysis and solving forward and inverse problem, the tomographic image of the root is reconstructed. The system is able to localize and build 2D and 3D tomographic image of root in a liquid medium. This proposed low-cost and easy-to-access system enables the users to capture the repetitive, noninvasive and non-destructive image of a plant root. Furthermore, the study proposes a simple mathematical model, based on ridge regression, which can predict root biomass from EIT data nondestructively with an accuracy of more than 93%. Thus, this study offers plant scientists and crop consultants the ability to better understand plant physiology nondestructively and noninvasively

Study and development of a novel radio frequency electromedical device for the treatment of peri-implantitis: experimental performance analysis, modelling of the electromagnetic interaction with tissues and in vitro and in vivo evaluation

La peri-implantite (PI) è una grave patologia che interessa tessuti peri-implantari molli e duri. Ad oggi, la prevenzione è l’unico mezzo per contrastarla. Recentemente, è stata sperimentata una terapia basata sulla somministrazione di corrente elettrica a radio frequenza (successo: 81%). Il trattamento è stato simulato numericamente, fornendo le distribuzioni di corrente (EC) e campo elettrico (EF) nei tessuti: l’effetto anti-infiammatorio è attribuibile alla EC, quello di rigenerazione ossea al EF. Sono state considerate le misure di bioimpedenza (BM) per individuare le infiammazioni; numericamente si sono osservati cambiamenti nel modulo di impedenza del 4-20% (secondo diversi parametri), anche più alti sperimentalmente (35% infiammazione, 56% PI). Le BM permettono quindi di identificare il tessuto da trattare. Per la ripetibilità, sono state considerate radici di denti naturali, numericamente e sperimentalmente; l’ordine di grandezza è lo stesso (qualche kΩ), anche se ci sono differenze legate alle condizioni di misura. La variabilità intra-soggetto è il 10% in uno stesso giorno, fino al 26% in giorni diversi; quella inter-soggetto è più alta. La sicurezza elettrica è stata attentamente esaminata e si sono individuate le direttive applicabili (IEC 60601-1, 60601-1-2 and 60601-2-2). Sono stati fatti test in vitro per valutare l’effetto della terapia sulla vitalità cellulare: non c’è un significativo aumento della necrosi (vitalità: 85% test, 94% controlli), l’effetto negativo principale è l’apoptosi. Sono stati numericamente indagati possibili effetti termici: non sono stati individuati riscaldamenti nocivi dei tessuti. Si è progettato un nuovo dispositivo (PeriCare®) per trattare la PI, con parti diagnostica (BM) e terapeutica. Si stanno progettando elettrodi specifici e realizzando il prototipo. Si sta compilando il fascicolo tecnico e pianificando i test di conformità, in vista della certificazione. Il dispositivo medico dovrebbe entrare nel mercato entro l’anno.Peri-implantitis is a severe disease affecting hard and soft peri-implant tissues. At present, prevention is the only means to contrast it. Recently, a therapy based on the administration of radio frequency electric current was experimented (success rate: 81%). The treatment was numerically simulated, providing the electric current (EC) and field (EF) distributions in peri-implant tissues: the anti-inflammatory effect can be associated to EC, the bone regeneration to the EF. Bioimpedance measurements (BM) were investigated to detect inflammation; changes in the measured impedance modulus are equal to 4-20% (depending on different parameters) from numerical results, also more evident experimentally (35% inflammation, 56% peri-implantitis). So, BM could allow to detect the tissue to be treated. To evaluate the repeatability, natural tooth roots were numerically and experimentally measured; the order of magnitude is the same (some kΩ), even if there are differences probably due to the measurement conditions. Intra-subject variability was of 10% in the same day, but up to 26% in different days; inter-subject variability was higher. The electrical safety was accurately taken into account. The applicable directives were individuated (IEC 60601-1, 60601-1-2 and 60601-2-2). In vitro tests were carried out to evaluate the effect of the therapy on cell vitality: there is not a significant increase in necrosis (vitality: 85% tests, 94% controls), the main negative effect is apoptosis. Possible thermal effects were numerically investigated: no dangerous tissue heating was observed. A new device for the peri-implantitis treatment, PeriCare®, was designed, with diagnostic (BM) and therapeutic parts. Proper electrodes are being designed and the prototype is being realized. The technical file is being compiled and the conformity verification tests are being planned towards the certification process. Hopefully, the medical device will be placed into the market within this year

Development of a cell sensing and electrotherapeutic system for a smart stent

Cardiovascular diseases (CVD) is one of the main causes of death worldwide. Coronary heart disease (CHD) and strokes are the highest contributors to CVD deaths (46 % and 26 % respectively) in the UK. The condition which leads to CHD is Coronary artery disease (CAD). The main cause of CAD is coronary atherosclerosis, which involves an inflammatory response of the artery wall to chronic multifactorial injury, which then results into formation of atherosclerotic plaques. One of the main treatment strategies for CAD is Percutaneous Coronary Intervention (PCI). PCI is a procedure during which a balloon mounted catheter with an unexpanded stent is inserted into a peripheral artery and threaded up to the site of stenosis in the coronary artery of the heart to reopen the vessel. PCI usually involves stenting with a Bare Metal Stent (BMS) or Drug Eluting Stent (DES). The 9-month revascularisation rate is 12.32 % with BMS, and this rate has significantly decreased to 4.34 % with early generation DES. The latest generation of DES is associated with revascularisation rates of 2.91 %. Detection of this vascular hyperplasia is a common limitation of these devices which can be found across a number of vascular pathologies. In this project, we developed a new type of biosensor for detecting the changes associated with these blockages that could be mounted on these implantable medical devices. Our design and development led to a comprehensive characterisation of both the sensor and its cell interactions. Proof of concept experiments were performed that legitimised the concept of a smart self-reporting device, as a solution to remote detection of In-stent Restenosis (ISR). The proposed smart stent would have both diagnostic and therapeutic capabilities. Preliminary tests showed that the devices were minimally susceptible to changes in volume and conductivity of culture medium, during baseline measurements. Sensors of different dimensions were fabricated with the best version 16 times smaller but with 4.35 times higher sensitivity in cell detection compared to baseline. Our sensor could also distinguish between different cell types. Indeed the sensor coverage could be remotely monitored intermittently (at 24 h intervals) or continuously (at 15 min intervals) or on demand. Continuous monitoring allowed the gradual changes in cell phenotype to be monitored including cell adherence, proliferation and death which was then correlated with live cell sensor imaging. We found our sensors could be used for both cell detection and therapeutic intervention. As the fabricated biosensors are intended to be integrated onto a future smart stent, this would be implanted in vivo and would be subjected to blood flow. Therefore it was important to test the devices under flow conditions. Our data show that, when incorporated into microfluidic flow chambers, the sensors could exquisitely detect cell adherence under flow and static conditions. Moreover they were also suitable for monitoring the gradual migration and proliferation of vascular cells within a microfluidic channel. Future development of these proof-of-concept biosensors is critical for future commercialisation of this important novel device, which hopefully will provide a new class of diagnostic and therapeutic vascular devices

Selected Papers from the 9th World Congress on Industrial Process Tomography

Industrial process tomography (IPT) is becoming an important tool for Industry 4.0. It consists of multidimensional sensor technologies and methods that aim to provide unparalleled internal information on industrial processes used in many sectors. This book showcases a selection of papers at the forefront of the latest developments in such technologies

An appraisal of the electrical resistance method for assessing root surface area

Electrical resistances of roots and stems of hydroponically raised willows (Salix schwerinii) were studied and related to root morphology. Willow cuttings with and without roots were set in a constant electric field (effective voltage of 0.1 V, sine-AC, 128 Hz) in a hydroponic solution. The electrical resistance of different components in the measurement system was measured and analysed in relation to root surface area in contact with the cultivation solution. Axial resistivities of single root segments and of stems were measured. The results showed that the resistance decreased in relation to an increase in the contact surface area of the roots with the solution. The resistance depended strongly on the contact area of the stem with the solution, however, thus causing bias in the evaluation of root surface area. This work is a new contribution for the understanding of current pathways in the root system as exposed to an external electric field and for developing a non-destructive method to study plant roots accordingly. It may be concluded that the electrical resistance method is a useful non-destructive method to study roots and their physiological properties. Electrical analogues for roots and stem comprising resistors are discussed in relation to in situ measurements