Flexible substrate sensors for multiplex biomarker monitoring

Wearable healthcare technologies should be non-invasive, robust to daily activity/environments, easy to use, and comfortable to wear. Flexible substrate devices for biomarker monitoring can contribute to wearable diagnostic applications. Single-target biosensors have extensively been developed for health-monitoring applications; however, recently multiplex biomarker tests have generated clinical interest. Targeting multiple biomarkers in diagnostic systems (wearable or point of care) offers more focused diagnosis and treatment as changes in a single biomarker can be caused by a series of physiologic conditions. This review highlights flexible substrates that have been successfully demonstrated for multiplex biomarker detection with potential for healthcare monitoring

Battery-less near field communications (nfc) sensors for internet of things (iot) applications

L’ implementació de la tecnologia de comunicació de camp proper (NFC) en els telèfons intel·ligents no para de créixer degut a l’ús d’aquesta per fer pagaments, això, junt amb el fet de poder aprofitar l’energia generada pel mòbil no només per la comunicació, sinó també per transmetre energia, el baix cost dels xips NFC, i el fet de que els telèfons tinguin connectivitat amb internet, possibilita i fa molt interesant el disseny d’etiquetes sense bateria incorporant-hi sensors i poder enviar la informació al núvol, dins del creixent escenari de l’internet de les coses (IoT). La present Tesi estudia la viabilitat d’aquests sensors, analitzant la màxima distància entre lector i sensor per proveir la potència necessària, presenta tècniques per augmentar el rang d’operació, i analitza els efectes de certs materials quan aquests estan propers a les antenes. Diversos sensors han estat dissenyats i analitzats i son presentats en aquest treball. Aquests son: Una etiqueta que mesura la humitat de la terra, la temperatura i la humitat relativa de l’aire per controlar les condicions de plantes. Un sensor per detectar la humitat en bolquers, imprès en material flexible que s’adapta a la forma del bolquer. Dues aplicacions, una per estimació de pH i una altre per avaluar el grau de maduració de fruites, basats en un sensor de color. I, per últim, s’estudia la viabilitat de sensors en implants per aplicacions mèdiques, analitzant l’efecte del cos i proposant un sistema per augmentar la profunditat a la que aquests es poden llegir utilitzant un telèfon mòbil. Tots aquests sensors poden ser alimentats i llegits per qualsevol dispositiu que disposin de connexió NFC.La implementación de la tecnología de comunicaciones de campo cercano (NFC) en los teléfonos inteligentes no para de crecer debido al uso de esta para llevar a cabo pagos, esto, junto con el hecho de poder aprovechar la energía generada por el móvil no sólo para la comunicación, sino también para transmitir energía, el bajo coste de los chips NFC, i el hecho que los teléfonos tengan conectividad a internet, posibilita y hace muy interesante el diseño de etiquetas sin batería que incorporen sensores i poder enviar la información a la nube, enmarcado en el creciente escenario del internet de las cosas (IoT). La presente Tesis estudia la viabilidad de estos sensores, analizando la máxima distancia entre lector i sensor para proveer la potencia necesaria, presenta técnicas para aumentar el rango de operación, y analiza los efectos de ciertos materiales cuando estos están cerca de las antenas. Varios sensores han sido diseñados y analizados y son presentados en este trabajo. Estos son: Una etiqueta que mide la humedad de la tierra, la temperatura y la humedad relativa del aire para controlar las condiciones de plantas. Un sensor para detectar la humedad en pañales, impreso en material flexible que se adapta a la forma del pañal. Dos aplicaciones, una para estimación de pH y otra para evaluar el grado de maduración de frutas, basados en un sensor de color. Y, por último, se estudia la viabilidad de sensores en implantes para aplicaciones médicas, analizando el efecto del cuerpo y proponiendo un sistema para aumentar la profundidad a la que estos se pueden leer usando un teléfono móvil. Todos estos sensores pueden ser alimentados y leídos por cualquier dispositivo que disponga de conexión NFC.The implementation of near field communication (NFC) technology into smartphones grows rapidly due the use of this technology as a payment system. This, altogether with the fact that the energy generated by the phone can be used not only to communicate but for power transfer as well, the low-cost of the NFC chips, and the fact that the smartphones have connectivity to internet, makes possible and very interesting the design of battery-less sensing tags which information can be sent to the cloud, within the growing internet of things (IoT) scenario. This Thesis studies the feasibility of these sensors, analysing the maximum distance between reader and sensor to provide the necessary power, presents techniques to increase the range of operation, and analyses the effects of certain materials when they are near to the antennas. Several sensors have been designed and analysed and are presented in this work. These are: a tag that measures the soil moisture, the temperature and the relative humidity of the air to control the conditions of plants. A moisture sensor for diapers, printed on flexible material that adapts to the diaper shape. Two applications, one for pH estimation and another for assessing the degree of fruit ripening, based on a colour sensor. And finally, the feasibility of sensors in implants for medical applications is studied, analysing the effect of the body and proposing a system to increase the depth at which they can be read using a mobile phone. All of these sensors can be powered and read by any NFC enabled device

Point-of-Care Detection Devices for Healthcare

With recent technological advances in multiple research fields such as materials science, micro-/nano-technology, cellular and molecular biology, bioengineering and the environment, much attention is shifting toward the development of new detection tools that not only address needs for high sensitivity and specificity but fulfil economic, environmental, and rapid point-of-care needs for groups and individuals with constrained resources and, possibly, limited training. Miniaturized fluidics-based platforms that precisely manipulate tiny body fluid volumes can be used for medical, healthcare or even environmental (e.g., heavy metal detection) diagnosis in a rapid and accurate manner. These new detection technologies are potentially applicable to different healthcare or environmental issues, since they are disposable, inexpensive, portable, and easy to use for the detection of human diseases or environmental issues—especially when they are manufactured based on low-cost materials, such as paper. The topics in this book (original and review articles) would cover point-of-care detection devices, microfluidic or paper-based detection devices, new materials for making detection devices, and others

Determination of antibiotic susceptibility of the bacteria causing urinary tract infections using a novel lab-on-a-chip design

Urinary tract infections (UTIs) are one of the most common types of bacterial infection in the UK, and also are expensive to treat costing the National Health Service ~£54 million between 2016 and 2017. Culture-based antibiotic susceptibility testing (AST) is used to identify an antibiotic to treat drug-resistant urinary tract infections and takes 48 hours to complete. Faster prescription of effective antibiotics should reduce the risk of sepsis and poor clinical outcomes. To address this need, we developed a Lab-on-a-Chip (LOC) based method to conduct electrochemical AST using screen-printed macroelectrodes (SPEs) and antibiotic-loaded hydrogels. SPEs were fabricated using carbon-graphite based inks, with resazurin bulk modified SPEs (R-SPEs) being fabricated through modification of the SPEs WE. Polyvinyl alcohol (PVA) based hydrogels were loaded with the following antibiotics were used; cephalexin, ceftriaxone, colistin, gentamicin, piperacillin, trimethoprim and vancomycin as well as an antibiotic-free control. LOC devices were then designed to encapsulate both the R-SPEs and the antibiotic hydrogels to enable multiplexed electrochemical AST to occur on a single device. In the initial testing of the R-SPEs and the antibiotic hydrogels independently of a LOC device, antibiotic susceptibility could be determined in 90 minutes for E. coli. After the preliminary work, eight chambered LOC devices were spiked with simulated UTI samples. Each chamber contained an R-SPE and an antibiotic hydrogel. After an incubation step, susceptibility of Escherichia coli and Klebsiella pneumoniae could be established in 85 minutes of testing which is significantly faster than the 48 hours required for conventional culture-based AST. The sensitive detection of resazurin afforded by using the electrochemical detection methodology incorporated onto a LOC device described here offers an inexpensive and simple method for the determination of antibiotic susceptibility that is faster than using a culture-based approach

Nanomaterials for the Diagnosis and Treatment of Urinary Tract Infections

The diagnosis and treatment of urinary tract infections (UTIs) remain challenging due to the lack of convenient assessment techniques and to the resistance to conventional antimicrobial therapy, showing the need for novel approaches to address such problems. In this regard, nanotechnology has a strong potential for both the diagnosis and therapy of UTIs via controlled delivery of antimicrobials upon stable, effective and sustained drug release. On one side, nanoscience allowed the production of various nanomaterial-based evaluation tools as precise, effective, and rapid procedures for the identification of UTIs. On the other side, nanotechnology brought tremendous breakthroughs for the treatment of UTIs based on the use of metallic nanoparticles (NPs) for instance, owing to the antimicrobial properties of metals, or of surface-tailored nanocarriers, allowing to overcome multidrug-resistance and prevent biofilm formation via targeted drug delivery to desired sites of action and preventing the development of cytotoxic processes in healthy cells. The goal of the current study is therefore to present the newest developments for the diagnosis and treatment of UTIs based on nanotechnology procedures in relation to the currently available techniques

Development of a fabric-based plasmonic sensor for point-of-care diagnostics

xviii, 127 leaves : ill. (chiefly col.) ; 29 cmIncludes abstract.Includes bibliographical references (leaves 121-126).Recently, the demand for new diagnostic techniques for detecting disease biomarkers at the patient point-of-care (POC) has increased. This project focuses on our recent progress towards a fabric-based plasmonic sensor which can be used in conjunction with surface-enhanced Raman spectroscopy to detect target biomarkers in bodily fluids. Building off of our recent success in this area, we have been exploring a variety of different fabric materials for this purpose. This project focused on detecting 6-thiouric acid which has the potential to be an important urine biomarker for the action of 6-mercaptopurine (MP), an immunosuppressive drug. In addition, detection of levofloxacin (fluoroquinolone-antibiotic; widely used for the treatment of bacterial infections, guanine and 2-deoxyguanosine (models of 8-oxo-2-deoxyguanosine, a cancer biomarker) also were performed in this research. Detection of these urine biomarkers focused on the use of electrochemical surface-enhanced Raman spectroscopy (EC-SERS) as well as the fabric-based SERS substrate

Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays

This paper aims to deliberately examine the scope of an intelligent colourimetric test that fulfils ASSURED criteria (Affordable, Sensitive, Specific, User-friendly, Rapid and robust, Equipment-free, and Deliverable) and demonstrate the claim as well. This paper presents an investigation into an intelligent image-based system to perform automatic paper-based colourimetric tests in real-time to provide a proof-of-concept for a dry-chemical based or microfluidic, stable and semi-quantitative assay using a larger dataset with diverse conditions. The universal pH indicator papers were utilised as a case study. Unlike the works done in the literature, this work performs multiclass colourimetric tests using histogram based image processing and machine learning algorithm without any user intervention. The proposed image processing framework is based on colour channel separation, global thresholding, morphological operation and object detection. We have also deployed a server based convolutional neural network framework for image classification using inductive transfer learning on a mobile platform. The results obtained by both traditional machine learning and pre-trained model-based deep learning were critically analysed with the set evaluation criteria (ASSURED criteria). The features were optimised using univariate analysis and exploratory data analysis to improve the performance. The image processing algorithm showed >98% accuracy while the classification accuracy by Least Squares Support Vector Machine (LS- SVM) was 100%. On the other hand, the deep learning technique provided >86% accuracy, which could be further improved with a large amount of data. The k-fold cross validated LS- SVM based final system, examined on different datasets, confirmed the robustness and reliability of the presented approach, which was further validated using statistical analysis. The understaffed and resource limited healthcare system can benefit from such an easy-to-use technology to support remote aid workers, assist in elderly care and promote personalised healthcare by eliminating the subjectivity of interpretation

Clinical translation of nanomaterials for early detection of genetic abnormalities in fetus and retinopathy in neonates and adults

Nuclear medicine covers a wide variety of radionuclides to meet demands of disease. In the current study, first we have looked at the application of mono-amine mono-amide ligands for Re(V), 99mTc(V), and 186Re(V) with respect to bombesin for receptor targeting in the pancreas. While procedures for synthesizing 99mTc complexes is similar to other reported procedures, rhenium complexes were synthesized using [ReO(citrate)2] - as the starting material, simplifying purification and isolation. Further studies for the 222-MAMA-BBN complex set included biodistribution studies, which determined that the 99mTc-BBN complex binds to GRP receptors in the pancreas, [about]3% ID/g. The 323-MAMA complex and derivatives were investigated to determine if the 222- or the 323-MAMA backbone provide: an easier preparation, a better framework for chelating given metals, and better transport as a targeting receptor. It is found that, in comparative studies, the 222-MAMA derivates are more preferred in chelation. However, in either case, once the metal is chelated, there is no conversion of products upon the addition of a more preferred ligand system. Another avenue of target therapy being pursued is the study of 105Rh. We are specifically looking at the study of chelation with tetrathioether complexes, to rhodium(III) to translate to the radiotracer scale. Three product isomers are formed in the reaction of rhodium, using SnCl2, with 222-S4-diAcOH. The carboxylate arm can either be free dangling, one bound to the metal, or both (removing bound chlorides respectively); all of these isomers can be easily separated using HPLC. These three species will be avoided when translated to the ligand bombesin analog. Future research in this area will be done with the 105Rh radiotracer for biological applications.Includes biblographical reference