The Hus1 homologue of Leishmania major encodes a nuclear protein that participates in DNA damage response

The protozoan parasite Leishmania presents a dynamic and plastic genome in which gene amplification and chromosome translocations are common phenomena. Such plasticity hints at the necessity of dependable genome maintenance pathways. Eukaryotic cells have evolved checkpoint control systems that recognize altered DNA structures and halt cell cycle progression allowing DNA repair to take place. In these cells, the PCNA-related heterotrimeric complex formed by the proteins Hus1, Rad9, and Rad1 is known to participate in the early steps of replicative stress sensing and signaling. Here we show that the Hus1 homolog of Leishmania major is a nuclear protein that improves the cell capability to cope with replicative stress. Overexpression of LmHus1 confers resistance to the genotoxic drugs hydroxyurea (HU) and methyl methanesulfonate (MMS) and resistance to HU correlates to reduced net DNA damage upon LmHus1 expression. (C) 2011 Elsevier B.V. All rights reserved.

Towards a reliable technology for antioxidant capacity and oxidative damage evaluation: Electrochemical (bio)sensors

To counteract and prevent the deleterious effect of free radicals the living organisms have developed complex endogenous and exogenous antioxidant systems. Several analytical methodologies have been proposed in order to quantify antioxidants in food, beverages and biological fluids. This paper revises the electroanalytical approaches developed for the assessment of the total or individual antioxidant capacity. Four electrochemical sensing approaches have been identified, based on the direct electrochemical detection of antioxidant at bare or chemically modified electrodes, and using enzymatic and DNA-based biosensors.

ROLES OF ACID-SENSING ION CHANNELS (ASICS) IN PERIPHERAL NEUROPEPTIDE SECRETION AND PAIN

Acid-sensing ion channels (ASICs) are non-voltage-gated sodium channels activated by an extracellular acidification. They are widely expressed in neurons of the central and peripheral nervous system. ASICs have a role in learning, the expression of fear, in neuronal death after cerebral ischemia, and in pain sensation. Tissue damage leads to the release of inflammatory mediators. There is a subpopulation of sensory neurons which are able to release the neuropeptides calcitonin gene-related peptide (CGRP) and substance P (SP). Neurogenic inflammation refers to the process whereby peripheral release of the neuropeptides CGRP and SP induces vasodilation and extravasation of plasma proteins, respectively. Our laboratory has previously shown that calcium-permeable homomeric ASIC1a channels are present in a majority of CGRP- or SP-expressing small diameter sensory neurons. In the first part of my thesis, we tested the hypothesis that a local acidification can produce an ASIC-mediated calcium-dependant neuropeptide secretion. We have first verified the co-expression of ASICs and CGRP/SP using immunochemistry and in-situ hybridization on dissociated rat dorsal root ganglion (DRG) neurons. We found that most CGRP/SP-positive neurons also expressed ASIC1a and ASIC3 subunits. Calcium imaging experiments with Fura-2 dye showed that an extracellular acidification can induce an increase of intracellular Ca2+ concentration, which is essential for secretion. This increase of intracellular Ca2+ concentration is, at least in some cells, ASIC-dependent, as it can be prevented by amiloride, an ASIC antagonist, and by Psalmotoxin (PcTx1), a specific ASIC1a antagonist. We identified a sub-population of neurons whose acid-induced Ca2+ entry was completely abolished by amiloride, an amiloride-resistant population which does not express ASICs, but rather another acid-sensing channel, possibly transient receptor potential vanilloïde 1 (TRPV1), and a population expressing both H+-gated channel types. Voltage-gated calcium channels (Cavs) may also mediate Ca2+ entry. Co-application of the Cavs inhibitors (ω-conotoxin MVIIC, Mibefradil and Nifedipine) reduced the Ca2+ increase in neurons expressing ASICs during an acidification to pH 6. This indicates that ASICs can depolarise the neuron and activate Cavs. Homomeric ASIC1a are Ca2+-permeable and allow a direct entry of Ca2+ into the cell; other ASICs mediate an indirect entry of Ca2+ by inducing a membrane depolarisation that activates Cavs. We showed with a secretion assay that CGRP secretion can be induced by extracellular acidification in cultured rat DRG neurons. Amiloride and PcTx1 were not able to inhibit the secretion at acidic pH, but BCTC, a TRPV1 inhibitor was able to decrease the secretion induced by an extracellular acidification in our in vitro secretion assay. In conclusion, these results show that in DRG neurons a mild extracellular acidification can induce a calcium-dependent neuropeptide secretion. Even if our data show that ASICs can mediate an increase of intracellular Ca2+ concentration, this appears not to be sufficient to trigger neuropeptide secretion. TRPV1, a calcium channel whose activation induces a sustained current - in contrary of ASICs - played in our experimental conditions a predominant role in neurosecretion. In the second part of my thesis, we focused on the role of ASICs in neuropathic pain. We used the spared nerve injury (SNI) model which consists in a nerve injury that induces symptoms of neuropathic pain such as mechanical allodynia. We have previously shown that the SNI model modifies ASIC currents in dissociated rat DRG neurons. We hypothesized that ASICs could play a role in the development of mechanical allodynia. The SNI model was performed on ASIC1a, -2, and -3 knock-out mice and wild type littermates. We measured mechanical allodynia on these mice with calibrated von Frey filaments. There were no differences between the wild-type and the ASIC1, or ASIC2 knockout mice. ASIC3 null mice were less sensitive than wild type mice at 21 day after SNI, indicating a role for ASIC3. Finally, to investigate other possible roles of ASICs in the perception of the environment, we measured the baseline heat responses. We used two different models; the tail flick model and the hot plate model. ASIC1a null mice showed increased thermal allodynia behaviour in the hot plate test at three different temperatures (49, 52, 55°C) compared to their wild type littermates. On the contrary, ASIC2 null mice showed reduced thermal allodynia behaviour in the hot plate test compared to their wild type littermates at the three same temperatures. We conclude that ASIC1a and ASIC2 in mice can play a role in temperature sensing. It is currently not understood how ASICs are involved in temperature sensing and what the reason for the opposed effects in the two knockout models is.

Development and Demonstration of a Freezing Drizzle Algorithm for Roadway Environmental Sensing Systems, Final Report, October 2012

The primary goal of this project is to demonstrate the accuracy and utility of a freezing drizzle algorithm that can be implemented on roadway environmental sensing systems (ESSs). The types of problems related to the occurrence of freezing precipitation range from simple traffic delays to major accidents that involve fatalities. Freezing drizzle can also lead to economic impacts in communities with lost work hours, vehicular damage, and downed power lines. There are means for transportation agencies to perform preventive and reactive treatments to roadways, but freezing drizzle can be difficult to forecast accurately or even detect as weather radar and surface observation networks poorly observe these conditions. The detection of freezing precipitation is problematic and requires special instrumentation and analysis. The Federal Aviation Administration (FAA) development of aircraft anti-icing and deicing technologies has led to the development of a freezing drizzle algorithm that utilizes air temperature data and a specialized sensor capable of detecting ice accretion. However, at present, roadway ESSs are not capable of reporting freezing drizzle. This study investigates the use of the methods developed for the FAA and the National Weather Service (NWS) within a roadway environment to detect the occurrence of freezing drizzle using a combination of icing detection equipment and available ESS sensors. The work performed in this study incorporated the algorithm developed initially and further modified for work with the FAA for aircraft icing. The freezing drizzle algorithm developed for the FAA was applied using data from standard roadway ESSs. The work performed in this study lays the foundation for addressing the central question of interest to winter maintenance professionals as to whether it is possible to use roadside freezing precipitation detection (e.g., icing detection) sensors to determine the occurrence of pavement icing during freezing precipitation events and the rates at which this occurs.

Integration of Bridge Damage Detection Concepts and Components (3 volumes), TR-636, 2013

This work is divided into three volumes: Volume I: Strain-Based Damage Detection; Volume II: Acceleration-Based Damage Detection; Volume III: Wireless Bridge Monitoring Hardware. Volume I: In this work, a previously-developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. The statistical damage-detection tool, control-chart-based damage-detection methodologies, were further investigated and advanced. For the validation of the damage-detection approaches, strain data were obtained from a sacrificial specimen attached to the previously-utilized US 30 Bridge over the South Skunk River (in Ames, Iowa), which had simulated damage,. To provide for an enhanced ability to detect changes in the behavior of the structural system, various control chart rules were evaluated. False indications and true indications were studied to compare the damage detection ability in regard to each methodology and each control chart rule. An autonomous software program called Bridge Engineering Center Assessment Software (BECAS) was developed to control all aspects of the damage detection processes. BECAS requires no user intervention after initial configuration and training. Volume II: In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. The objective of this part of the project was to validate/integrate a vibration-based damage-detection algorithm with the strain-based methodology formulated by the Iowa State University Bridge Engineering Center. This report volume (Volume II) presents the use of vibration-based damage-detection approaches as local methods to quantify damage at critical areas in structures. Acceleration data were collected and analyzed to evaluate the relationships between sensors and with changes in environmental conditions. A sacrificial specimen was investigated to verify the damage-detection capabilities and this volume presents a transmissibility concept and damage-detection algorithm that show potential to sense local changes in the dynamic stiffness between points across a joint of a real structure. The validation and integration of the vibration-based and strain-based damage-detection methodologies will add significant value to Iowa’s current and future bridge maintenance, planning, and management Volume III: In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. This report volume (Volume III) summarizes the energy harvesting techniques and prototype development for a bridge monitoring system that uses wireless sensors. The wireless sensor nodes are used to collect strain measurements at critical locations on a bridge. The bridge monitoring hardware system consists of a base station and multiple self-powered wireless sensor nodes. The base station is responsible for the synchronization of data sampling on all nodes and data aggregation. Each wireless sensor node include a sensing element, a processing and wireless communication module, and an energy harvesting module. The hardware prototype for a wireless bridge monitoring system was developed and tested on the US 30 Bridge over the South Skunk River in Ames, Iowa. The functions and performance of the developed system, including strain data, energy harvesting capacity, and wireless transmission quality, were studied and are covered in this volume.

Acid-sensing ion channel 1a drives AMPA receptor plasticity following ischemia and acidosis in hippocampal CA1 neurons

The CA1 region of the hippocampus is particularly vulnerable to ischemic damage. While NMDA receptors play a major role in excitotoxicity, it is thought to be exacerbated in this region by two forms of post-ischemic AMPA receptor (AMPAR) plasticity - namely, anoxic long-term potentiation (a-LTP), and a delayed increase in the prevalence of Ca2+ -permeable GluA2-lacking AMPARs (CP-AMPARs). The acid-sensing ion channel 1a (ASIC1a) which is expressed in CA1 pyramidal neurons, is also known to contribute to post-ischemic neuronal death and to physiologically induced LTP. This raises the question - does ASIC1a activation drive the post-ischemic forms of AMPAR plasticity in CA1 pyramidal neurons? We have tested this by examining organotypic hippocampal slice cultures (OHSCs) exposed to oxygen glucose deprivation (OGD), and dissociated cultures of hippocampal pyramidal neurons (HPN) exposed to low pH (acidosis). We find that both a-LTP and the delayed increase in the prevalence of CP-AMPARs are dependent on ASIC1a activation during ischemia. Indeed, acidosis alone is sufficient to induce the increase in CP-AMPARs. We also find that inhibition of ASIC1a channels circumvents any potential neuroprotective benefit arising from block of CP-AMPARs. By demonstrating that ASIC1a activation contributes to post-ischemic AMPAR plasticity, our results identify a functional interaction between acidotoxicity and excitotoxicity in hippocampal CA1 cells, and provide insight into the role of ASIC1a and CP-AMPARs as potential drug targets for neuroprotection. We thus propose that ASIC1a activation can drive certain forms of CP-AMPAR plasticity, and that inhibiting ASIC1a affords neuroprotection.

The isatin-Schiff base copper(II) complex Cu(isaepy)(2) acts as delocalized lipophilic cation, yields widespread mitochondrial oxidative damage and induces AMP-activated protein kinase-dependent apoptosis

We previously demonstrated that Bis[(2-oxindol-3-ylimino)-2-(2-aminoethyl) pyridine-N, N`] copper(II) [Cu(isaepy)(2)] was an efficient inducer of the apoptotic mitochondrial pathway. Here, we deeply dissect the mechanisms underlying the ability of Cu(isaepy)(2) to cause mitochondriotoxicity. In particular, we demonstrate that Cu(isaepy)(2) increases NADH-dependent oxygen consumption of isolated mitochondria and that this phenomenon is associated with oxy-radical production and insensitive to adenosine diphosphate. These data indicate that Cu(isaepy)(2) behaves as an uncoupler and this property is also confirmed in cell systems. Particularly, SH-SY5Y cells show: (i) an early loss of mitochondrial transmembrane potential; (ii) a decrease in the expression levels of respiratory complex components and (iii) a significant adenosine triphosphate (ATP) decrement. The causative energetic impairment mediated by Cu(isaepy)(2) in apoptosis is confirmed by experiments carried out with rho(0) cells, or by glucose supplementation, where cell death is significantly inhibited. Moreover, gastric and cervix carcinoma AGS and HeLa cells, which rely most of their ATP production on oxidative phosphorylation, show a marked sensitivity toward Cu(isaepy)(2). Adenosine monophosphate-activated protein kinase (AMPK), which is activated by events increasing the adenosine monophosphate: ATP ratio, is deeply involved in the apoptotic process because the overexpression of its dominant/negative form completely abolishes cell death. Upon glucose supplementation, AMPK is not activated, confirming its role as fuel-sensing enzyme that positively responds to Cu(isaepy)(2)-mediated energetic impairment by committing cells to apoptosis. Overall, data obtained indicate that Cu(isaepy)(2) behaves as delocalized lipophilic cation and induces mitochondrial-sited reactive oxygen species production. This event results in mitochondrial dysfunction and ATP decrease, which in turn triggers AMPK-dependent apoptosis.

Experimental damage detection using system norms

Nowadays there is great interest in structural damage detection in systems using nondestructive tests. Once the failure is detected, as for instance a crack, it is possible to take providences. There are several different approaches that can be used to obtain information about the existence, location and extension of the fault in the system by non-destructive tests. Among these methodologies, one can mention different optimization techniques, as for instance classical methods, genetic algorithms, neural networks, etc. Most of these techniques, which are based on element-byelement adjustments of a finite element (FE) model, take advantage of the dynamic behavior of the model. However, in practical situations, usually, is almost impossible to obtain an accuracy model. In this paper, it is proposed an experimental technique for damage location. This technique is based on H: norm to obtain the damage location. The dynamic properties of the structure were identified using experimental data by eigensystem realization algorithm (ERA). The experimental test was carried out in a beam structure through varying the mass of an element. For the output signal was used a piezoelectric sensor. The signal of input of sine form was generated through SignalCalc® software.

The use of remote sensing imagery for monitoring recovery in the aftermath of a natural disaster: the Hurricane Katrina Case

Although Recovery is often defined as the less studied and documented phase of the Emergency Management Cycle, a wide literature is available for describing characteristics and sub-phases of this process. Previous works do not allow to gain an overall perspective because of a lack of systematic consistent monitoring of recovery utilizing advanced technologies such as remote sensing and GIS technologies. Taking into consideration the key role of Remote Sensing in Response and Damage Assessment, this thesis is aimed to verify the appropriateness of such advanced monitoring techniques to detect recovery advancements over time, with close attention to the main characteristics of the study event: Hurricane Katrina storm surge. Based on multi-source, multi-sensor and multi-temporal data, the post-Katrina recovery was analysed using both a qualitative and a quantitative approach. The first phase was dedicated to the investigation of the relation between urban types, damage and recovery state, referring to geographical and technological parameters. Damage and recovery scales were proposed to review critical observations on remarkable surge- induced effects on various typologies of structures, analyzed at a per-building level. This wide-ranging investigation allowed a new understanding of the distinctive features of the recovery process. A quantitative analysis was employed to develop methodological procedures suited to recognize and monitor distribution, timing and characteristics of recovery activities in the study area. Promising results, gained by applying supervised classification algorithms to detect localization and distribution of blue tarp, have proved that this methodology may help the analyst in the detection and monitoring of recovery activities in areas that have been affected by medium damage. The study found that Mahalanobis Distance was the classifier which provided the most accurate results, in localising blue roofs with 93.7% of blue roof classified correctly and a producer accuracy of 70%. It was seen to be the classifier least sensitive to spectral signature alteration. The application of the dissimilarity textural classification to satellite imagery has demonstrated the suitability of this technique for the detection of debris distribution and for the monitoring of demolition and reconstruction activities in the study area. Linking these geographically extensive techniques with expert per-building interpretation of advanced-technology ground surveys provides a multi-faceted view of the physical recovery process. Remote sensing and GIS technologies combined to advanced ground survey approach provides extremely valuable capability in Recovery activities monitoring and may constitute a technical basis to lead aid organization and local government in the Recovery management.

The use of satellite remote sensing for flood risk management

Over the last decades the impact of natural disasters to the global environment is becoming more and more severe. The number of disasters has dramatically increased, as well as the cost to the global economy and the number of people affected. Among the natural disaster, flood catastrophes are considered to be the most costly, devastating, broad extent and frequent, because of the tremendous fatalities, injuries, property damage, economic and social disruption they cause to the humankind. In the last thirty years, the World has suffered from severe flooding and the huge impact of floods has caused hundreds of thousands of deaths, destruction of infrastructures, disruption of economic activity and the loss of property for worth billions of dollars. In this context, satellite remote sensing, along with Geographic Information Systems (GIS), has become a key tool in flood risk management analysis. Remote sensing for supporting various aspects of flood risk management was investigated in the present thesis. In particular, the research focused on the use of satellite images for flood mapping and monitoring, damage assessment and risk assessment. The contribution of satellite remote sensing for the delineation of flood prone zones, the identification of damaged areas and the development of hazard maps was explored referring to selected cases of study.

Damage mechanisms in the handling of fruits

The recognition of an increasing and worldwide demand for high quality in fruits and vegetables has grown in recent years. Evidence of severe problems of mechanical damage is increasing, and this is affecting the trade of fruits in European and other countries. The potential market for fresh high-quality vegetables and fruits remains restricted by the lack of quality of the majority of products that reach consumers; this is the case for local as well as import/export markets, so a reduction in the consumption of fresh fruits in favour of other fixed-quality products (dairy in particular) may become widespread. In a recent survey (King, 1988, cited in Bellon, 1989), it appears that, for the moment, one third of the surveyed consumers are still continuing to increase their fresh produce consumption. The factors that appear as being most important in influencing the shopping behaviour of these consumers are taste/flavour, freshness/ripeness, appealing look, and cleanliness. Research on mechanical damage in fruit and vegetables has been underway for several years. The first research made on physical properties of fruits was in fact directed towards analysing the response to slow or rapid loading of selected fruits (Fridley et al, 1968; Horsefield et al., 1972). From that time on, research has expanded greatly, and different aspects of the problem have been approached. These include applicable mechanical models for the contact problem, the response of biological tissues to loading, devices for detecting damage causes in machines and equipment, and procedures for sensing bruises in grading and sorting. This chapter will be devoted to the study of actual research results relative to the cause and mechanisms of mechanical damage in fruits (secondarily in vegetables), the development of bruises in these commodities, the models that have been used up to now, and the different factors which have been recognized as influencing the appearance and development of mechanical damage in fruits. The study will be focused mainly on contact-damage - that is, slow or rapid loads applied to the surface of the products and causing bruises. (A bruise is defined as an altered volume of fruit tissues below the skin that is discoloured and softened.) Other types of mechanical damage, like abrasion and scuffing, punctures and cuts, will be also mentioned briefly.

Effect of impacting mass on firmness sensing of fruits.

There has been an increased interest in using impact techniques for sensing firmness of fruits and vegetables. When an impacter is used to impact a fruit, the impacting mass is an important parameter which affects both the impact signal and fruit damage. Results of theoretical analysis and tests conducted on two varieties of pears indicate that lowering the impacting mass results in amplifying the measured signal, reducing sensing errors, and minimizing damage to the fruit.

Effect of impacting radius of curvature on firmness sensing of fruits in a sorting system.

Fruits of two varieties of both apples and pear were tested to measure their response to small energy impact applied by a impact tester with two spherical tips of different radious of curvature ( RA = 2.48 cm and RB = 0.98 cm) and equal mass were used. In the four varieties studied, the size of bruise was smaller with a spherical tip RA than with tip RB . The non-destructive impact test would cause less damage with a spherical impactor with a radious bigger than 0.98 cm.

Smart aeronautical structures: development and experimental validation of a structural health monitoring system for damage detection

En muchas áreas de la ingeniería, la integridad y confiabilidad de las estructuras son aspectos de extrema importancia. Estos son controlados mediante el adecuado conocimiento de danos existentes. Típicamente, alcanzar el nivel de conocimiento necesario que permita caracterizar la integridad estructural implica el uso de técnicas de ensayos no destructivos. Estas técnicas son a menudo costosas y consumen mucho tiempo. En la actualidad, muchas industrias buscan incrementar la confiabilidad de las estructuras que emplean. Mediante el uso de técnicas de última tecnología es posible monitorizar las estructuras y en algunos casos, es factible detectar daños incipientes que pueden desencadenar en fallos catastróficos. Desafortunadamente, a medida que la complejidad de las estructuras, los componentes y sistemas incrementa, el riesgo de la aparición de daños y fallas también incrementa. Al mismo tiempo, la detección de dichas fallas y defectos se torna más compleja. En años recientes, la industria aeroespacial ha realizado grandes esfuerzos para integrar los sensores dentro de las estructuras, además de desarrollar algoritmos que permitan determinar la integridad estructural en tiempo real. Esta filosofía ha sido llamada “Structural Health Monitoring” (o “Monitorización de Salud Estructural” en español) y este tipo de estructuras han recibido el nombre de “Smart Structures” (o “Estructuras Inteligentes” en español). Este nuevo tipo de estructuras integran materiales, sensores, actuadores y algoritmos para detectar, cuantificar y localizar daños dentro de ellas mismas. Una novedosa metodología para detección de daños en estructuras se propone en este trabajo. La metodología está basada en mediciones de deformación y consiste en desarrollar técnicas de reconocimiento de patrones en el campo de deformaciones. Estas últimas, basadas en PCA (Análisis de Componentes Principales) y otras técnicas de reducción dimensional. Se propone el uso de Redes de difracción de Bragg y medidas distribuidas como sensores de deformación. La metodología se validó mediante pruebas a escala de laboratorio y pruebas a escala real con estructuras complejas. Los efectos de las condiciones de carga variables fueron estudiados y diversos experimentos fueron realizados para condiciones de carga estáticas y dinámicas, demostrando que la metodología es robusta ante condiciones de carga desconocidas. ABSTRACT In many engineering fields, the integrity and reliability of the structures are extremely important aspects. They are controlled by the adequate knowledge of existing damages. Typically, achieving the level of knowledge necessary to characterize the structural integrity involves the usage of nondestructive testing techniques. These are often expensive and time consuming. Nowadays, many industries look to increase the reliability of the structures used. By using leading edge techniques it is possible to monitoring these structures and in some cases, detect incipient damage that could trigger catastrophic failures. Unfortunately, as the complexity of the structures, components and systems increases, the risk of damages and failures also increases. At the same time, the detection of such failures and defects becomes more difficult. In recent years, the aerospace industry has done great efforts to integrate the sensors within the structures and, to develop algorithms for determining the structural integrity in real time. The ‘philosophy’ has being called “Structural Health Monitoring” and these structures have been called “smart structures”. These new types of structures integrate materials, sensors, actuators and algorithms to detect, quantify and locate damage within itself. A novel methodology for damage detection in structures is proposed. The methodology is based on strain measurements and consists in the development of strain field pattern recognition techniques. The aforementioned are based on PCA (Principal Component Analysis) and other dimensional reduction techniques. The use of fiber Bragg gratings and distributed sensing as strain sensors is proposed. The methodology have been validated by using laboratory scale tests and real scale tests with complex structures. The effects of the variable load conditions were studied and several experiments were performed for static and dynamic load conditions, demonstrating that the methodology is robust under unknown load conditions.

Surface InGaAs nanostructures for sensing applications

El desarrollo de sensores está ganando cada vez mayor importancia debido a la concienciación ciudadana sobre el medio ambiente haciendo que su desarrollo sea muy elevado en todas las disciplinas, entre las que cabe destacar, la medicina, la biología y la química. A pesar de la existencia de estos dispositivos, este área está aún por mejorar, ya que muchos de los materiales propuestos hasta el momento e incluso los ya comercializados muestran importantes carencias de funcionamiento, eficiencia e integrabilidad entre otros. Para la mejora de estos dispositivos, se han propuesto diversas aproximaciones basadas en nanosistemas. Quizá, uno de las más prometedoras son las nanoestructuras de punto cuántico, y en particular los semiconductores III-V basados en la consolidada tecnología de los arseniuros, las cuáles ofrecen excelentes propiedades para su uso como sensores. Además, estudios recientes demuestran su gran carácter sensitivo al medio ambiente, la posibilidad de funcionalizar la superficie para la fabricación de sensores interdisciplinares y posibilididad de mejorar notablemente su eficiencia. A lo largo de esta tesis, nos centramos en la investigación de SQD de In0.5Ga0.5As sobre substratos de GaAs(001) para el desarrollo de sensores de humedad. La tesis abarca desde el diseño, crecimiento y caracterización de las muestras hasta la el posterior procesado y caracterización de los dispositivos finales. La optimización de los parámetros de crecimiento es fundamental para conseguir una nanoestructura con las propiedades operacionales idóneas para un fin determinado. Como es bien sabido en la literatura, los parámetros de crecimiento (temperatura de crecimiento, relación de flujos del elemento del grupo V y del grupo I II (V/III), velocidad de crecimiento y tratamiento térmico después de la formación de la capa activa) afectan directamente a las propiedades estructurales, y por tanto, operacionales de los puntos cuánticos (QD). En esta tesis, se realiza un estudio de las condiciones de crecimiento para el uso de In0.5Ga0.5As SQDs como sensores. Para los parámetros relacionados con la temperatura de crecimiento de los QDs y la relación de flujos V / I I I se utilizan los estudios previamente realizados por el grupo. Mientras que este estudio se centrará en la importancia de la velocidad de crecimiento y en el tratamiento térmico justo después de la nucleación de los QDs. Para ello, se establece la temperatura de creciemiento de los QDs en 430°C y la relación de flujos V/III en 20. Como resultado, los valores más adecuados que se obtienen para la velocidad de crecimiento y el tratamiento térmico posterior a la formación de los puntos son, respectivamente, 0.07ML/s y la realización de una bajada y subida brusca de la temperatura del substrato de 100°C con respecto a la temperatura de crecimiento de los QDs. El crecimiento a una velocidad lo suficientemente alta que permita la migración de los átomos por la superficie, pero a su vez lo suficientemente baja para que se lleve a cabo la nucleación de los QDs; en combinación con el tratamiento brusco de temperatura que hace que se conserve la forma y composición de los QDs, da lugar a unos SQDs con un alto grado de homogeneidad y alta densidad superficial. Además, la caracterización posterior indica que estas nanoestructuras de gran calidad cristalina presentan unas propiedades ópticas excelentes incluso a temperatura ambiente. Una de las características por la cual los SQD de Ino.5Gao.5As se consideran candidatos prometedores para el desarrollo de sensores es el papel decisivo que juega la superficie por el mero hecho de estar en contacto directo con las partículas del ambiente y, por tanto, por ser capaces de interactuar con sus moléculas. Así pues, con el fin de demostrar la idoneidad de este sistema para dicha finalidad, se evalúa el impacto ambiental en las propiedades ópticas y eléctricas de las muestras. En un primer lugar, se analiza el efecto que tiene el medio en las propiedades ópticas. Para dicha evaluación se compara la variación de las propiedades de emisión de una capa de puntos enterrada y una superficial en distintas condiciones externas. El resultado que se obtiene es muy claro, los puntos enterrados no experimentan un cambio óptico apreciable cuando se varían las condiciones del entorno; mientras que, la emisión de los SQDs se modifica significativamente con las condiciones del medio. Por una parte, la intensidad de emisión de los puntos superficiales desaparece en condiciones de vacío y decrece notablemente en atmósferas secas de gases puros (N2, O2). Por otra parte, la fotoluminiscencia se conserva en ambientes húmedos. Adicionalmente, se observa que la anchura a media altura y la longitud de onda de emisión no se ven afectadas por los cambios en el medio, lo que indica, que las propiedades estructurales de los puntos se conservan al variar la atmósfera. Estos resultados apuntan directamente a los procesos que tienen lugar en la superficie entre estados confinados y superficiales como responsables principales de este comportamiento. Así mismo, se ha llevado a cabo un análisis más detallado de la influencia de la calidad y composición de la atmósfera en las propiedades ópticas de los puntos cuánticos superficiales. Para ello, se utilizan distintas sustancias con diferente polaridad, composición atómica y masa molecular. Como resultado se observa que las moléculas de menor polaridad y más pesadas causan una mayor variación en la intensidad de emisión. Además, se demuestra que el oxígeno juega un papel decisivo en las propiedades ópticas. En presencia de moléculas que contienen oxígeno, la intensidad de fotoluminiscencia disminuye menos que en atmósferas constituidas por especies que no contienen oxígeno. Las emisión que se observa respecto a la señal en aire es del 90% y del 77%, respectivamente, en atmósferas con presencia o ausencia de moléculas de oxígeno. El deterioro de la señal de emisión se atribuye a la presencia de defectos, enlaces insaturados y, en general, estados localizados en la superficie. Estos estados actúan como centros de recombinación no radiativa y, consecuentemente, se produce un empeoramiento de las propiedades ópticas de los SQDs. Por tanto, la eliminación o reducción de la densidad de estos estados superficiales haría posible una mejora de la intensidad de emisión. De estos experimentos de fotoluminiscencia, se deduce que las interacciones entre las moléculas presentes en la atmósfera y la superficie de la muestra modifican la superficie. Esta alteración superficial se traduce en un cambio significativo en las propiedades de emisión. Este comportamiento se atribuye a la posible adsorción de moléculas sobre la superficie pasivando los centros no radiativos, y como consecuencia, mejorando las propiedades ópticas. Además, los resultados demuestran que las moléculas que contienen oxígeno con mayor polaridad y más ligeras son adsorbidas con mayor facilidad, lo que hace que la intensidad óptica sufra variaciones despreciables con respecto a la emisión en aire. Con el fin de desarrollar sensores, las muestras se procesan y los dispositivos se caracterizan eléctricamente. El procesado consiste en dos contactos cuadrados de una aleación de Ti/Au. Durante el procesado, lo más importante a tener en cuenta es no realizar ningún ataque o limpieza que pueda dañar la superficie y deteriorar las propiedades de las nanostructuras. En este apartado, se realiza un análisis completo de una serie de tres muestras: GaAs (bulk), un pozo cuántico superficial (SQW) de Ino.5Gao.5As y SQDs de Ino.5Gao.5As. Para ello, a cada una de las muestras se le realizan medidas de I-V en distintas condiciones ambientales. En primer lugar, siguiendo los resultados obtenidos ópticamente, se lleva a cabo una comparación de la respuesta eléctrica en vacío y aire. A pesar de que todas las muestras presentan un carácter más resistivo en vacío que en aire, se observa una mayor influencia sobre la muestra de SQD. En vacío, la resistencia de los SQDs decrece un 99% respecto de su valor en aire, mientras que la variación de la muestras de GaAs e Ino.5Gao.5As SQW muestran una reducción, respectivamente, del 31% y del 20%. En segundo lugar, se realiza una evaluación aproximada del posible efecto de la humedad en la resistencia superficial de las muestras mediante la exhalación humana. Como resultado se obtiene, que tras la exhalación, la resistencia disminuye bruscamente y recupera su valor inicial cuando dicho proceso concluye. Este resultado preliminar indica que la humedad es un factor crítico en las propiedades eléctricas de los puntos cuánticos superficiales. Para la determinación del papel de la humedad en la respuesta eléctrica, se somete a las muestras de SQD y SQW a ambientes con humedad relativa (RH, de la siglas del inglés) controlada y se analiza el efecto sobre la conductividad superficial. Tras la variación de la RH desde 0% hasta el 70%, se observa que la muestra SQW no cambia su comportamiento eléctrico al variar la humedad del ambiente. Sin embargo, la respuesta de la muestra SQD define dos regiones bien diferenciadas, una de alta sensibilidad para valores por debajo del 50% de RH, en la que la resistencia disminuye hasta en un orden de magnitud y otra, de baja sensibilidad (>50%), donde el cambio de la resistencia es menor. Este resultado resalta la especial relevancia no sólo de la composición sino también de la morfología de la nanostructura superficial en el carácter sensitivo de la muestra. Por último, se analiza la influencia de la iluminación en la sensibilidad de la muestra. Nuevamente, se somete a las muestras SQD y SQW a una irradiación de luz de distinta energía y potencia a la vez que se varía controladamente la humedad ambiental. Una vez más, se observa que la muestra SQW no presenta ninguna variación apreciable con las alteraciones del entorno. Su resistencia superficial permanece prácticamente inalterable tanto al modificar la potencia de la luz incidente como al variar la energía de la irradiación. Por el contrario, en la muestra de SQD se obtiene una reducción la resistencia superficial de un orden de magnitud al pasar de condiciones de oscuridad a iluminación. Con respecto a la potencia y energía de la luz incidente, se observa que a pesar de que la muestra no experimenta variaciones notables con la potencia de la irradiación, esta sufre cambios significativos con la energía de la luz incidente. Cuando se ilumina con energías por encima de la energía de la banda prohibida (gap) del GaAs (Eg ~1.42 eV ) se produce una reducción de la resistencia de un orden de magnitud en atmósferas húmedas, mientras que en atmósferas secas la conductividad superficial permanece prácticamente constante. Sin embargo, al inicidir con luz de energía menor que Eg, el efecto que se produce en la respuesta eléctrica es despreciable. Esto se atribuye principalmente a la densidad de portadores fotoactivados durante la irradiación. El volumen de portadores excita dos depende de la energía de la luz incidente. De este modo, cuando la luz que incide tiene energía menor que el gap, el volumen de portadores generados es pequeño y no contribuye a la conductividad superficial. Por el contrario, cuando la energía de la luz incidente es alta (Eg), el volumen de portadores activados es elevado y éstos contribuyen significantemente a la conductividad superficial. La combinación de ambos agentes, luz y humedad, favorece el proceso de adsorción de moléculas y, por tanto, contribuye a la reducción de la densidad de estados superficiales, dando lugar a una modificación de la estructura electrónica y consecuentemente favoreciendo o dificultando el transporte de portadores. ABSTRACT Uncapped three-dimensional (3D) nanostructures have been generally grown to assess their structural quality. However, the tremendous growing importance of the impact of the environment on life has become such nanosystems in very promising candidates for the development of sensing devices. Their direct exposure to changes in the local surrounding may influence their physical properties being a perfect sign of the atmosphere quality. The goal of this thesis is the research of Ino.5Gao.5As surface quantum dots (SQDs) on GaAs(001), covering from their growth to device fabrication, for sensing applications. The achievement of this goal relies on the design, growth and sample characterization, along with device fabrication and characterization. The first issue of the thesis is devoted to analyze the main growth parameters affecting the physical properties of the Ino.5Gao.5As SQDs. It is well known that the growing conditions (growth temperature , deposition rate, V/III flux ratio and treatment after active layer growth) directly affect the physical properties of the epilayer. In this part, taking advantage of the previous results in the group regarding Ino.5Gao.5As QD growth temperature and V/III ratio, the effect of the growth rate and the temperature treatment after QDs growth nucleation is evaluated. Setting the QDs growth temperature at 430°C and the V/III flux ratio to ~20, it is found that the most appropriate conditions rely on growing the QDs at 0.07ML/s and just after QD nucleation, rapidly dropping and again raising 100°C the substrate temperature with respect to the temperature of QD growth. The combination of growing at a fast enough growth rate to promote molecule migration but sufficiently slow to allow QD nucleation, together with the sharp variation of the temperature preserving their shape and composition yield to high density, homogeneous Ino.5Gao.5As SQDs. Besides, it is also demonstrated that this high quality SQDs show excellent optical properties even at room temperature (RT). One of the characteristics by which In0.5Ga0.5As/GaAs SQDs are considered promising candidates for sensing applications is the crucial role that surface plays when interacting with the gases constituting the atmosphere. Therefore, in an attempt to develop sensing devices, the influence of the environment on the physical properties of the samples is evaluated. By comparing the resulting photoluminescence (PL) of SQDs with buried QDs (BQDs), it is found that BQDs do not exhibit any significant variation when changing the environmental conditions whereas, the external conditions greatly act on the SQDs optical properties. On one hand, it is evidenced that PL intensity of SQDs sharply quenches under vacuum and clearly decreases under dry-pure gases atmospheres (N2, O2). On the other hand, it is shown that, in water containing atmospheres, the SQDs PL intensity is maintained with respect to that in air. Moreover, it is found that neither the full width at half maximun nor the emission wavelength manifest any noticeable change indicating that the QDs are not structurally altered by the external atmosphere. These results decisively point to the processes taking place at the surface such as coupling between confined and surface states, to be responsible of this extraordinary behavior. A further analysis of the impact of the atmosphere composition on the optical characteristics is conducted. A sample containing one uncapped In0.5Ga0.5As QDs layer is exposed to different environments. Several solvents presenting different polarity, atomic composition and molecular mass, are used to change the atmosphere composition. It is revealed that low polarity and heavy molecules cause a greater variation on the PL intensity. Besides, oxygen is demonstrated to play a decisive role on the PL response. Results indicate that in presence of oxygen-containing molecules, the PL intensity experiments a less reduction than that suffered in presence of nonoxygen-containing molecules, 90% compared to 77% signal respect to the emission in air. In agreement with these results, it is demonstrated that high polarity and lighter molecules containing oxygen are more easily adsorbed, and consequently, PL intensity is less affected. The presence of defects, unsaturated bonds and in general localized states in the surface are proposed to act as nonradiative recombination centers deteriorating the PL emission of the sample. Therefore, suppression or reduction of the density of such states may lead to an increase or, at least, conservation of the PL signal. This research denotes that the interaction between sample surface and molecules in the atmosphere modifies the surface characteristics altering thus the optical properties. This is attributed to the likely adsoption of some molecules onto the surface passivating the nonradiative recombination centers, and consequently, not deteriorating the PL emission. Aiming for sensors development, samples are processed and electrically characterized under different external conditions. Samples are processed with two square (Ti/Au) contacts. During the processing, especial attention must be paid to the surface treatment. Any process that may damage the surface such as plasma etching or annealing must be avoided to preserve the features of the surface nanostructures. A set of three samples: a GaAs (bulk), In0.5Ga0.5As SQDs and In0.5Ga0.5As surface quantum well (SQW) are subjected to a throughout evaluation. I-V characteristics are measured following the results from the optical characterization. Firstly, the three samples are exposed to vacuum and air. Despite the three samples exhibit a more resistive character in vacuum than in air, it is revealed a much more clear influence of the pressure atmosphere in the SQDs sample. The sheet resistance (Rsh) of SQDs decreases a 99% from its response value under vacuum to its value in air, whereas Rsh of GaAs and In0.5Ga0.5As SQW reduces its value a 31% and a 20%, respectively. Secondly, a rough analysis of the effect of the human breath on the electrical response evidences the enormous influence of moisture (human breath is composed by several components but the one that overwhelms all the rest is the high concentration of water vapor) on the I-V characteristics. Following this result, In0.5Ga0.5As SQDs and In0.5Ga0.5As SQW are subjected to different controlled relative humidity (RH) environments (from 0% to 70%) and electrically characterized. It is found that SQW shows a nearly negligible Rsh variation when increasing the RH in the surroundings. However, the response of SQDs to changes in the RH defines two regions. Below 50%, high sensitive zone, Rsh of SQD decreases by more than one order of magnitude, while above 50% the dependence of Rsh on the RH becomes weaker. These results remark the role of the surface and denote the existence of a finite number of surface states. Nevertheless, most significantly, they highlight the importance not only of the material but also of the morphology. Finally, the impact of the illumination is determined by means of irradiating the In0.5Ga0.5As SQDs and In0.5Ga0.5As SQW samples with different energy and power sources. Once again, SQW does not exhibit any correlation between the surface conductivity and the external conditions. Rsh remains nearly unalterable independently of the energy and power of the incident light. Conversely, Rsh of SQD experiences a decay of one order of magnitude from dark-to-photo conditions. This is attributed to the less density of surface states of SQW compared to that of SQDs. Additionally, a different response of Rsh of SQD with the energy of the impinging light is found. Illuminating with high energy light results in a Rsh reduction of one order of mag nitude under humid atmospheres, whereas it remains nearly unchanged under dry environments. On the contrary, light with energy below the bulk energy bandgap (Eg), shows a negligible effect on the electrical properties regardless the local moisture. This is related to the density of photocarriers generated while lighting up. Illuminating with excitation energy below Eg affects a small absorption volume and thus, a low density of photocarriers may be activated leading to an insignificant contribution to the conductivity. Nonetheless, irradiating with energy above the Eg can excite a high density of photocarriers and greatly improve the surface conductivity. These results demonstrate that both illumination and humidity are therefore needed for sensing. The combination of these two agents improves the surface passivation by means of molecule adsorption reducing the density of surface states, thus modifying the electronic structures, and consequently, promoting the carrier motion.