Synthetic genetic circuits have revolutionized numerous fields, ranging from academic research and point-of-care diagnostics to disease therapeutics and industrial biomanufacturing. These circuits provide a powerful tool for precise spatiotemporal control over biological and biochemical interactions, thereby enhancing our understanding of these complex systems and expanding their applicability. The last few decades have witnessed a surge in research efforts, both in cell-free and cellular systems. These endeavors include those to improve the sensitivity and specificity of diagnostics and optimize the safety, efficacy, and tunability of existing treatments. This dissertation delves into the exploration of Boolean logic gates in the cell-free realm: the development of a 'Cell-Free Recombinase Integrated Boolean Operating System' (CRIBOS) for expanding the capabilities of cell-free sensing applications. Applications of Boolean logic gates have flourished within cellular systems and animal models. However, a persisting gap in the field is in their exploration within the cell-free system. This deficiency has resulted in a constrained toolkit for studying and applying Boolean logic gates in cell-free settings. Recognizing this limitation in the field and aiming to extend the frontiers of genetic circuits beyond traditional boundaries, I introduce CRIBOS, leveraging the advantages of recombinase, known for its high orthogonality, efficiency, and sensitivity. I designed more than 20 multi-input-multi-output recombinase Boolean logic gates in a cell-free context, from which a set of critical rules crucial for building genetic circuits in the cell-free environment was also established. In addition, integrating allosteric transcription factor (aTF)-based sensors with CRIBOS enabled multiplex environmental sensing within the cell-free environment. Moreover, the CRIBOS system showcased its versatility by facilitating the creation of a biological memory storage device, demonstrating robust functionality with high stability over four months. Implementing CRIBOS not only expands the application of multiplex Boolean logic gates from cellular systems to the cell-free environment but also expands their overall versatility, opening new avenues for the design and application of sophisticated genetic circuits.

DNA nanotechnology has been developed in order to construct nanostructures and nanomachines by virtue of the programmable self-assembly properties of DNA molecules. Although DNA nanotechnology initially focused on spatial arrangement of DNA strands, new horizons have been explored owing to the development of the toehold-mediated strand-displacement reaction, conferring new dynamic properties to previously static and rigid structures. A large variety of DNA reconfigurable nanostructures, stepped and autonomous nanomachines and circuits have been operated using the strand-displacement reaction. Biological systems rely on information processing to guide their behaviour and functions. Molecular computation is a branch of DNA nanotechnology that aims to construct and operate programmable computing devices made out of DNA that could interact in a biological context. Similar to conventional computers, the computational processes involved are based on Boolean logic, a propositional language that describes statements as being true or false while connecting them with logic operators. Numerous logic gates and circuits have been built with DNA that demonstrate information processing at the molecular level. However, development of new systems is called for in order to perform new tasks of higher computational complexity and enhanced reliability. The contribution of secondary structure to the vulnerability of a toehold-sequestered device to undesired triggering of inputs was examined, giving new approaches for minimizing leakage of DNA devices. This device was then integrated as a logic component in a DNA-based computer with a retrievable memory, thus implementing two essential biological functions in one synthetic device. Additionally, G-quadruplex logic gates were developed that can be switched between two topological states in a logic fashion. Their individual responses were detected simultaneously, establishing a new approach for parallel biological computing. A new AND-NOT logic circuit based on the seesaw mechanism was constructed that, in combination with the already existing AND and OR gates, form a now complete basis set that could perform any Boolean computation. This work introduces a new mode of kinetic control over the operation of such DNA circuits. Finally, the first example of a transmembrane logic gate being operated at the single-molecule level is described. This could be used as a potential platform for biosensing.

In recent years, the popularity of wind energy has grown. It is starting to play a large role in generating renewable, clean energy around the world. In New Zealand, there is increasing recognition and awareness of global warming and the pollution caused by burning fossil fuels, as well as the increased difficulty of obtaining oil from foreign sources, and the fluctuating price of non-renewable energy products. This makes wind energy a very attractive alternative to keep New Zealand clean and green. There are many issues involved in wind farm development. These issues can be grouped into two categories - economic issues and environmental issues. Wind farm developers often use site selection process to minimise the impact of these issues. This thesis aims to develop GIS based models that provide effective decision support tool for evaluating, at a regional scale, potential wind farm locations. This thesis firstly identifies common issues involved in wind farm development. Then, by reviewing previous research on wind farm site selection, methods and models used by academic and corporate sector to solve issues are listed. Criteria for an effective decision support tool are also discussed. In this case, an effective decision support tool needs to be flexible, easy to implement and easy to use. More specifically, an effective decision support tool needs to provide users the ability to identify areas that are suitable for wind farm development based on different criteria. Having established the structure and criteria for a wind farm analysis model, a GIS based tool was implemented using AML code using a Boolean logic model approach. This method uses binary maps for the final analysis. There are a total of 3645 output maps produced based on different combination of criteria. These maps can be used to conduct sensitivity analysis. This research concludes that an effective GIS analysis tool can be developed for provide effective decision support for evaluating wind farm sites.

The continuous scaling down of the metal-oxide-semiconductor field-effect transistor (MOSFET) has improved the performance of electronic appliances. Unfortunately, it has come to a stage where further scaling of the MOSFET is no longer possible due to the physical and the fabrication limitations. This has motivated researchers towards designing and fabricating novel devices that can replace MOSFET technology. Carbon Nanotube Field-Effect Transistors, Single Electron Tunneling Junctions, Nano-Magnetic Devices, and Spin Field-Effect Transistors are some prospective candidates that could replace MOSFET devices. In this dissertation, we have studied the computational performance of Nano−Magnetic Devices due to their attractive features such as room temperature operation, high density, robustness towards thermal noise, radiation hardened nature and low static power dissipation. In this work, we have established that data can be propagated in a causal fashion from a driver cell to the driven cells. We have fabricated a ferromagnetic wire architecture and used a magnetic force microscopy (MFM) tip to provide localized magnetic inputs. This experiment validated two important phenomena; (1) a clocking field is essential to propagate data and (2) upon removal of the clocking field data can be propagated according to the input data. Next, we have fabricated and captured MFM images of a nano-magnetic logic architecture that has computed the majority of seven binary variables. The architecture was designed by interconnecting three three-input majority logic gates with ferromagnetic and antiferromagnetic wire architectures. This seven input majority logic architecture can potentially implement eight different logic functions that could be configured in real-time. All eight functions could be configured by three control parameters in real-time (by writing logic one or zero to them). Even though we observed error-free operations in nano-magnetic logic architectures, it became clear that we needed better control (write/read/clock) over individual single layer nano-magnetic devices for successful long-term operation. To address the write/clock/read problems, we designed and fabricated amultilayer nano-magnetic device. We fabricated and performed a set of experiments with patterned multilayer stacks of Co/Cu/Ni80Fe20 with a bottom layer having a perpendicular magnetization to realize neighbor interactions between adjacent top layers of devices. Based on the MFM images, we conclude that dipolar coupling between the top layers of the neighboring devices can be exploited to construct three-input majority logic gates, antiferromagnetic and ferromagnetic wire architectures. Finally, we have experimentally demonstrated a magnetic system that could be used to solve quadratic optimization problems that arise in computer vision applications. We have harnessed the energy minimization nature of a magnetic system to directly solve a quadratic optimization process. We have fabricated a magnetic system corresponding to a real world image and have identified salient features with true positive rate more than 85%. These experimental results feature the potentiality of this unconventional computing method to develop a magnetic processor which solves such complex problems in few clock cycles.

Le sepsis est un syndrome observé chez des patients associant une infection documentée (microbiologiquement ou cliniquement suspectée) à une réponse inflammatoire systémique (Systemic Inflammatory Response Syndrome : SIRS).Celui-ci peut évoluer vers un sepsis sévère s'il est associé à la défaillance d'un ou de plusieurs organes. Le choc septique est l'association d'un état septique grave et d'une défaillance hémodynamique caractérisée par une chute aiguë de la pression artérielle ne pouvant pas être corrigée par une procédure standard de remplissage vasculaire. Les syndromes septiques sont aujourd'hui la première cause de mortalité en unités de réanimation. Cette mortalité élevée, en particulier pour les cas les plus graves tels que les chocs septiques, témoigne d'une absence de traitements curatifs pour cette pathologie. Partant de l'hypothèse que les syndromes septiques graves sont la conséquence d'une perte de contrôle précoce de la régulation de la réponse inflammatoire, nous avons étudié, via deux démarches complémentaires, l'initiation de la voie de signalisation TLR4 et les mécanismes intracellulaires contribuant à sa régulation. Dans un premier temps, l'utilisation d'approches transcriptomiques nous a permis d'identifier la voie de signalisation mTOR comme discriminante entre des patients sains (SIRS induit par l'injection d'endotoxines) et des patients souffrant de syndromes septiques graves. Nous avons ensuite développé et utilisé des techniques de modélisation logique pour simuler in silico le rôle joué par la voie mTOR dans la résolution d'une réponse inflammatoire. Ces résultats encourageants ouvrent des perspectives pour de nouvelles applications thérapeutiques dans le domaine du sepsis / Sepsis is a syndrome observed in patients combining a documented infection (microbiologically or clinically suspected) with a systemic inflammatory response (Systemic Inflammatory Response Syndrome : SIRS). It may progress to severe sepsis if it is associated with failures of one or more organs. Septic shock is the combination of a severe sepsis and a hemodynamic dysfunction characterized by an acute fall in blood pressure that cannot be corrected by a procedure of vascular filling.Sepsis syndromes represent today the first cause of mortality in intensive care units around the world. This poor survival rate, in particular for the most severe cases, such as septic shock, testifies a real curative therapeutic demand.Based on the assumption that severe sepsis syndromes are the consequence of a loss of control in early mechanisms of inflammatory response regulation, we studied via two complementary approaches the initiation of TLR4 signaling pathway and the intracellular mechanisms contributing to its regulation.First, the use of transcriptomic approaches allowed us to identify the mTOR signaling pathway as discriminating between healthy patients (SIRS induced by the infusion of endotoxins) and patients with severe septic syndromes. We then developed and used logic modeling approaches to in silico simulate the role played by the mTOR signaling pathway in the resolution of an inflammatory response. These encouraging results open perspectives for new therapeutic applications in the field of sepsis

Made available in DSpace on 2016-03-15T19:38:02Z (GMT). No. of bitstreams: 1 OLIVIA RAMOS MORAIS BRAGA.pdf: 2316952 bytes, checksum: 334200749e273b67cc9255571ccaee41 (MD5) Previous issue date: 2015-06-17 / Serviço Nacional de Aprendizagem Comercial / Learning is a complex process involving many variables, including the environment, social context, educational methodologies, teachers and students knowledge, among others. Highlighting the diversity of students in this process, this work presents the development of an Adaptive Learning Object using techniques of Adaptive Hypermedia and Artificial Intelligence as well as its application in classrooms, in beginners undergraduate classes, as a case study. For this purpose, this case study focuses on the learning of Algebra and Boolean Logic concepts, which has direct application in various disciplines that belong to the curriculum of several courses, like Electrical Engineering, Computer Science, Technology in Computer Networks, Systems Analysis and Development, Telecommunications, among others. By pointing out the difficulty of learning in Boolean Algebra and Logic-based subjects, this work aims to provide an improvement of educational performance in heterogeneous classrooms. Since the learning process is a challenging, interactive and iterative activity that involves a variety of aspects, it is intended that the application of adaptive techniques to a Learning Object can facilitate the skills development process by students. / A aprendizagem é um processo complexo que envolve diversas variáveis, desde o ambiente, o contexto social, as metodologias educacionais, o conhecimento do professor e do aluno, entre outras. Destacando a heterogeneidade dos alunos nesse processo, este trabalho apresenta o desenvolvimento de um Objeto de Aprendizagem Adaptativo usando técnicas de Hipermídia Adaptativa e Inteligência Artificial, bem como sua aplicação em salas de aula, em turmas iniciantes da graduação de nível superior, como estudo de caso. Para tal finalidade, este estudo de caso concentra-se na aprendizagem de conceitos de Álgebra e Lógica Booleana, que tem aplicação direta em diversas disciplinas que compõem o currículo dos cursos de Engenharia Elétrica, Ciência da Computação, Tecnologia em Redes de Computadores, Análise e Desenvolvimento de Sistemas, Telecomunicações, entre outros. Evidenciando a dificuldade de aprendizagem dos alunos em disciplinas que utilizem Álgebra e Lógica de Boole, esta proposta de trabalho visa proporcionar a melhoria do desenvolvimento do desempenho educacional em salas de aula heterogêneas. Uma vez que o processo de aprendizagem é uma atividade desafiadora, interativa e iterativa que envolve uma variedade de aspectos, pretende-se que a aplicação de técnicas de adaptatividade a um Objeto de Aprendizagem possa facilitar o processo de desenvolvimento de competências ao educando.

Mapas pedológicos são importantes fontes de informação necessárias à agricultura, mas praticamente inexistentes em escalas adequadas para o Brasil, e seu levantamento pelo método convencional para a demanda brasileira é inviável. Como alternativa ao problema, mapeamento pedológico digital apresenta-se como uma área do conhecimento que envolve as relações das informações de campo, laboratório e pontuais de solos com métodos quantitativos via imagens de satélite e atributos do relevo para inferir atributos e classes. A literatura destaca, portanto, a importância do estudo da posição espacial de pontos amostrais na estimativa de atributos do solo a partir dos valores espectrais de imagens de satélite, aliado a isso, faz-se importante o cruzamento dos atributos do solo estimados e espacializados para chegar a classes de solo. Face ao exposto, o objetiva-se o desenvolvimento de uma técnica via imagem de satélite, dados espectrais e atributos do relevo, integrados por lógica booleana, para determinar mapas pedológicos. O trabalho foi realizado no município de Rio das Pedras, SP e entornos, numa área total de 47.882 ha. Onde, realizou-se processamento de imagens de satélites multitemporais, para obtenção da informação espectral da superfície de solo exposto. Esta informação foi correlacionada com espectro de laboratório de pontos amostrais em subsuperfície (profundidade 80-100 cm) e estimou-se os espectros simulando bandas de satélite para locais desconhecidos. Elaborou-se uma chave de classificação de solos por cruzamento de mapas de atributos via lógica booleana, onde definiu os seguintes atributos a serem mapeados: argila, V% e matéria orgânica (M.O) na profundidade 0-20 cm e argila, CTC, V%, m%, Al, ferro total, matiz, valor e croma na profundidade 80-100 cm. As estimativas de espectros em subsuperfície e dos atributos dos solos nas duas profundidades foram realizadas pela técnica multivariada regressão geograficamente ponderada (GWR), que teve seu desempenho preditivo avaliado pela comparação com desempenho preditivo da técnica de regressão linear múltipla (MRL). Os resultados mostraram correlação entre os espectros das duas profundidades, com R2 de validação acima 0.6. Argila (0-20 e 80-100 cm), matiz, valor e croma foram os atributos do solo que obtiveram as melhores estimativas com R2 acima 0.6. A técnica multivariada GWR obteve-se desempenho superior ao MRL. O mapa pedológico digital comparado aos mapas de solos detalhados de levantamentos convencionais obteve índice kappa de 34.65% e acurácia global de 54,46%. Tal resultado representa um nível regular de classificação. Por outro lado, deve se considerar que se trata de uma região de alta complexidade geológica e compreendendo heterogeneidade de solos. A técnica desenvolvida mostra-se com potencial de evolução no mapeamento digital de solos à medida que forem evoluindo as estimativas de atributos de solos e ajustes nos critérios da chave de classificação. / Soil maps are important sources of information necessary for agriculture, but practically absent in appropriate scales for Brazil, and its mapping by the conventional method for the brazilian demand is impracticable. How an alternative to the problem, digital pedological mapping appears as an area of knowledge that involves the relationship of field information, laboratory and point of soils with quantitative methods by satellite images and relief attributes to predict attributes and classes. The literature highlights therefore the importance of studying the spatial position of sampling points in the estimation of soil attributes from spectral values of satellite images, combined to this, is an important the crossing of the estimated and spatialized soil attributes to get the soil classes. In view of exposed, the objective is the development of a technique satellite image, spectral data and attributes of relief, integrated by boolean logic to determine soil maps. The work was carried out in Rio das Pedras county, SP, and surroundings, in a total area of 47,882 ha. Which was held processing multitemporal satellite images, to obtain spectral information of exposed soil surface. This information was correlated with laboratory spectra of sample points in the subsurface (depth 80-100 cm) and was estimated spectra simulating satellite bands to unknown locations. Produced is a soil classification key for cross attribute maps by boolean logic, which defines the following attributes to be mapped: clay, cation saturation and organic matter (OM) in the 0-20 cm depth and clay, CEC, cation saturation, aluminiu saturation, Al, total iron, hue, value and chroma in depth 80-100 cm. The estimates spectra subsurface and soil attributes in two depths were performed by multivariate technique geographically weighted regression (GWR), which had its predictive performance is evaluated by comparison with predictive performance of multiple linear regression (MRL). The results showed a correlation between the spectra of the two depths, with validation R2 above 0.6. Clay (0-20 and 80-100 cm), hue, value and chroma were the soil attributes obtained the best estimates R2 above 0.6. The GWR multivariate technique yielded better performance than MRL. The digital soil map compared to the detailed soil maps of conventional surveys obtained kappa index of 34.65% and overall accuracy of 54.46%. This result is a regular level of classification. On the other hand, it must be considered that it is a highly complex geological region and comprising heterogeneity of soils. The technique developed shows with potential developments in digital soil mapping as they evolve estimates of soil attributes and adjustments to the classification key criteria.

This thesis aims to predict the probable undiscovered geothermal systems through investigation of spatial relation between geothermal occurrences and its surrounding geological phenomenon in Western Anatolia. In this context, four different public data, which are epicenter map, lineament map, Bouger gravity anomaly and magnetic anomaly maps, are utilized. In order to extract the necessary information for each map layer the raw public data is converted to a synthetic data which are directly used in the analysis. Synthetic data employed during the investigation process include Gutenberg-Richter b-value map, distance to lineaments map and distance to major grabens present in the area. Thus, these three layers including directly used magnetic anomaly maps are combined by means of Boolean logic model and Weights of Evidence method (WofE), which are multicriteria decision methods, in a Geographical Information System (GIS) environment. Boolean logic model is based on the simple logic of Boolean operators, while the WofE model depends on the Bayesian probability. Both of the methods use binary maps for their analysis. Thus, the binary map classification is the key point of the analysis. In this study three different binary map classification techniques are applied and thus three output maps were obtained for each of the method. The all resultant maps are evaluated within and among the methods by means of success indices. The findings reveal that the WofE method is better predictor than the Boolean logic model and that the third binarization approach, which is named as optimization procedure in this study, is the best estimator of binary classes due to obtained success indices. Finally, three output maps of each method are combined and the favorable areas in terms of geothermal potential are produced. According to the final maps the potential sites appear to be Aydin, Denizli and Manisa, of which first two have been greatly explored and exploited since today and thus not surprisingly found as potential in the output maps, while Manisa when compared to first two is nearly virgin.

In this dissertation, three different microfluidic devices with bioanalytical applications are presented. From chapter to chapter, the bioanalytical focus will gradually become the development of a point-of-care sensor platform able to yield a reliable and quantitative response in the presence of the desired target. The first device consists of photolithographically-patterned gold on glass bipolar electrodes and PDMS Y-shaped microchannels for the controlled enrichment, separation from a mixture, and delivery of two charged dyes into separate receiving microchannels. The principle for the permanent separation of these dyes is based on the concept of bipolar electrochemistry and depended on the balancing/unbalancing of convective and electromigrating forces caused by the application of a potential bias, as well as the activation/deactivation of the bipolar electrodes. Two different bipolar electrode configurations are described and fluorescence is used to optimize their efficiency, speed, and cleanliness of delivery. The second device is a DNA sensor fabricated on paper by wax printing and folding to form 3D channels. DNA is detected by strand-displacement induced fluorescence of a single-stranded DNA. A multiplexed version of this sensor is also shown where the experiment results in “OR” and “AND” Boolean logic gate operations. In addition, the nonspecific adsorption of the reagents to cellulose is studied, demonstrating that significant reduction of nonspecific adsorption and increased sensitivity can be achieved by pre-treating the substrate with bovine serum albumin and by preparing all analyte solutions with spectator DNA. The third device, also made of paper, has a novel design and uses a versatile electrochemical detection method for the indirect detection of analytes via the direct detection of AgNP labels. A proof-of-concept experiment is shown where streptavidin-coated magnetic microbeads and biotin-coated AgNPs are used to form a composite model analyte. The paper device, called oSlip, and electrochemical method used are easily coupled so the resulting sensor has a simple user-device interface. LODs of 767 fM are achieved while retaining high reproducibility and efficiency. The fourth device is the updated version of the oSlip. In this case, the objective is to show the current progress and limitations in the detection of real analytes using the oSlip device. A sandwich-type immunoassay approach is used to detect human chorionic gonadotrophin (pregnancy hormone) present in human urine. Various optimization steps are performed to obtain the ideal reagent concentrations and incubation time necessary to form the immunocomposite in one step, that is, by mixing all reagents at the same time in the oSlip. Additionally, improvements to the electrochemical detection step are demonstrated. / text

Mapas pedológicos são importantes fontes de informação necessárias à agricultura, mas praticamente inexistentes em escalas adequadas para o Brasil, e seu levantamento pelo método convencional para a demanda brasileira é inviável. Como alternativa ao problema, mapeamento pedológico digital apresenta-se como uma área do conhecimento que envolve as relações das informações de campo, laboratório e pontuais de solos com métodos quantitativos via imagens de satélite e atributos do relevo para inferir atributos e classes. A literatura destaca, portanto, a importância do estudo da posição espacial de pontos amostrais na estimativa de atributos do solo a partir dos valores espectrais de imagens de satélite, aliado a isso, faz-se importante o cruzamento dos atributos do solo estimados e espacializados para chegar a classes de solo. Face ao exposto, o objetiva-se o desenvolvimento de uma técnica via imagem de satélite, dados espectrais e atributos do relevo, integrados por lógica booleana, para determinar mapas pedológicos. O trabalho foi realizado no município de Rio das Pedras, SP e entornos, numa área total de 47.882 ha. Onde, realizou-se processamento de imagens de satélites multitemporais, para obtenção da informação espectral da superfície de solo exposto. Esta informação foi correlacionada com espectro de laboratório de pontos amostrais em subsuperfície (profundidade 80-100 cm) e estimou-se os espectros simulando bandas de satélite para locais desconhecidos. Elaborou-se uma chave de classificação de solos por cruzamento de mapas de atributos via lógica booleana, onde definiu os seguintes atributos a serem mapeados: argila, V% e matéria orgânica (M.O) na profundidade 0-20 cm e argila, CTC, V%, m%, Al, ferro total, matiz, valor e croma na profundidade 80-100 cm. As estimativas de espectros em subsuperfície e dos atributos dos solos nas duas profundidades foram realizadas pela técnica multivariada regressão geograficamente ponderada (GWR), que teve seu desempenho preditivo avaliado pela comparação com desempenho preditivo da técnica de regressão linear múltipla (MRL). Os resultados mostraram correlação entre os espectros das duas profundidades, com R2 de validação acima 0.6. Argila (0-20 e 80-100 cm), matiz, valor e croma foram os atributos do solo que obtiveram as melhores estimativas com R2 acima 0.6. A técnica multivariada GWR obteve-se desempenho superior ao MRL. O mapa pedológico digital comparado aos mapas de solos detalhados de levantamentos convencionais obteve índice kappa de 34.65% e acurácia global de 54,46%. Tal resultado representa um nível regular de classificação. Por outro lado, deve se considerar que se trata de uma região de alta complexidade geológica e compreendendo heterogeneidade de solos. A técnica desenvolvida mostra-se com potencial de evolução no mapeamento digital de solos à medida que forem evoluindo as estimativas de atributos de solos e ajustes nos critérios da chave de classificação. / Soil maps are important sources of information necessary for agriculture, but practically absent in appropriate scales for Brazil, and its mapping by the conventional method for the brazilian demand is impracticable. How an alternative to the problem, digital pedological mapping appears as an area of knowledge that involves the relationship of field information, laboratory and point of soils with quantitative methods by satellite images and relief attributes to predict attributes and classes. The literature highlights therefore the importance of studying the spatial position of sampling points in the estimation of soil attributes from spectral values of satellite images, combined to this, is an important the crossing of the estimated and spatialized soil attributes to get the soil classes. In view of exposed, the objective is the development of a technique satellite image, spectral data and attributes of relief, integrated by boolean logic to determine soil maps. The work was carried out in Rio das Pedras county, SP, and surroundings, in a total area of 47,882 ha. Which was held processing multitemporal satellite images, to obtain spectral information of exposed soil surface. This information was correlated with laboratory spectra of sample points in the subsurface (depth 80-100 cm) and was estimated spectra simulating satellite bands to unknown locations. Produced is a soil classification key for cross attribute maps by boolean logic, which defines the following attributes to be mapped: clay, cation saturation and organic matter (OM) in the 0-20 cm depth and clay, CEC, cation saturation, aluminiu saturation, Al, total iron, hue, value and chroma in depth 80-100 cm. The estimates spectra subsurface and soil attributes in two depths were performed by multivariate technique geographically weighted regression (GWR), which had its predictive performance is evaluated by comparison with predictive performance of multiple linear regression (MRL). The results showed a correlation between the spectra of the two depths, with validation R2 above 0.6. Clay (0-20 and 80-100 cm), hue, value and chroma were the soil attributes obtained the best estimates R2 above 0.6. The GWR multivariate technique yielded better performance than MRL. The digital soil map compared to the detailed soil maps of conventional surveys obtained kappa index of 34.65% and overall accuracy of 54.46%. This result is a regular level of classification. On the other hand, it must be considered that it is a highly complex geological region and comprising heterogeneity of soils. The technique developed shows with potential developments in digital soil mapping as they evolve estimates of soil attributes and adjustments to the classification key criteria.