Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Exploring the research landscape of 3D printing in oral drug delivery systems for central nervous system diseases(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2025-06-10) Paipa Jabre Cantú, Samir Ibrahim; Rodríguez Salvador, Marisela; emimmayorquin; Tercero Gómez, Víctor Gustavo; School of Engineering and Sciences; Campus Monterrey; Zhang, Y. ShrikeThe pharmaceutical industry faces increasing demands for innovative and personalized treatments that conventional manufacturing methods often struggle to meet. Three-dimensional printing (3DP) offers tailored solutions through customized oral drug delivery systems, enabling precise control over dosage, geometry, release kinetics, and gastrointestinal absorption—factors especially critical in therapies for central nervous system (CNS) disorders. This study applies a Competitive Technology Intelligence (CTI) approach to analyze advancements in 3DP for oral drug delivery, with a focus on Fused Deposition Modeling (FDM), Semi-Solid Extrusion (SSE), Stereolithography (SLA), Digital Light Processing (DLP), Selective Laser Sintering (SLS), and Binder Jetting (BJ). FDM emerges as the most widely used technique due to its cost-effectiveness and versatility for thermostable drugs (e.g., carbamazepine), while SSE proves optimal for thermolabile compounds (e.g., levetiracetam) due to its room-temperature operation. SLA and DLP enable complex geometries for controlled release, and BJ supports scalable production, exemplified by the commercial formulation Spritam®. Key findings highlight patient-centric applications such as pediatric-friendly formulations (e.g., flavored orodispersible films), geriatric-adapted designs (e.g., easy-to-swallow tablets), and accessible formats for patients with disabilities (e.g.,Braille-marked pills). Current challenges include limitations in printable materials (e.g., polymer compatibility) and the lack of regulatory standardization. By mapping these technologies and their therapeutic implications, this thesis offersactionable insights for stakeholders in the pharmaceutical, healthcare, and 3DP sectors to support the development of personalized dosing strategies, combination therapies, and improved treatment adherence in CNS care.
- Digital light processing additive manufacturing for accessible blood-brain barrier organ-on-a-chip fabrication(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2025-06) Lagunes Nava, Daniel; García Farrera, Brenda; emimmayorquin; Magaña Aguirre, Jonathan Javier; García Aguirre, Ian Alain; Cano Quiroz, Anaid; School of Engineering and Sciences; Campus Estado de México; Solis Cordova, José de JesúsOrgan-on-a-Chip (OoC) technologies represent a promising alternative to traditional preclinical models and their actual limitations, yet their widespread adoption remains limited by cost, fabrication complexity, and accessibility. This thesis presents the development of an economically viable microfluidic platform designed to mimic the Blood-Brain Barrier (BBB) using Digital Light Processing (DLP) additive manufacturing. By leveraging the geometric freedom and rapid prototyping capabilities of DLP, a series of chips were fabricated and systematically evaluated through both structural characterization and functional assays. The platform’s performance was assessed via passive diffusion experiments using sodium chloride, providing a quantifiable readout of molecular transport across the chip interface. Particular emphasis was placed on the role of channel geometry in shaping diffusion behavior. Comparative analysis of square and circular layouts demonstrated that structural configuration alone can influence transport dynamics, even under equivalent flow conditions, an observation reinforced by simplified computational simulations. These findings call into question the extent to which current chip designs, often simplified because of the nature of the techniques, truly replicate physiologically relevant transport. Results revealed that the square chip exhibited faster and more direct fluid penetration through the interface, while the circular design induced more distributed flow with attenuated velocity vectors. This divergence also reflected in the diffusion curves, challenges the conventional assumption that greater surface area alone enhances transport, and emphasizes the need to reevaluate geometric decisions in microfluidic design. Beyond functionality, the fabrication process itself validated the feasibility of low-cost and reproducible production of complex microfluidic architectures. Together, these findings reaffirm the potential of DLP printed devices as accessible tools for biomedical research and establish a foundation for more physiologically relevant Organ-on-a-Chip systems.
- Statistical dimensional analysis on quality control improvement on FDM 3D printing(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-12-05) Lizardi Montoya, Diana Belinda; Román Flores, Armando; puemcuervo,emimayorquin; Tejada Ortigoza, Viridiana Alejandra; Cuan Urquizo, Enrique; School of Engineering and Sciences; Campus Monterrey; Urbina Coronado, Pedro DanielFused Deposition Modeling (FDM) is one of the most employed Additive Manufacturing techniques used for manufacturing diverse applications in the industry, from prototyping and experimentation to biomedical devices. The printing process of this 3D printing technology is commonly affected by structural defects, such as dimensional and geometrical accuracy and warping of edges. These defects impact the manufacture of printed samples as a waste of material, profits, and time. With the adequate combination of printing parameters, defects can be reduced or eliminated, specifically the dimensional accuracy of printed parts. In this research, a manufacturing quality control technique is proposed, making a statistical analysis through a more specifical and accurate method such as Six Sigma, which is used in the industry for quality control on production. For the statistical analysis, the capability of the process is employed, obtaining values in terms of Sigma Levels. In addition, a Design of Experiments was used to find the adequate parameter arrangement to develop the samples with the best quality in terms of four dimensions: Outer Length, Diameter, Inner Length, and Thickness. As the studied defect, the error percentage is calculated by measuring and comparing the actual dimensions to the dimensions from the 3D drawing. The samples were measured using a Coordinate Measuring Machine (CMM) to obtain accurate results. Finally, the comparison between the parameters of normal quality at the programming phase and the parameters chosen from the design of experiments was made, demonstrating the recommended parameter arrangement for each kind of dimension using the Sigma Level as a reference for improvement.
- Improving the path planning and the printing time for an optimized infill of 3D objects by reducing sharp angles and having a continuous path(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-06-14) Betancourt Adame, Cesar David; NOGUEZ MONROY, JUANA JULIETA; 202512; Noguez Monroy, Juana Julieta; emipsanchez; Ruiz Loza, Sergio; Benes, Bedrich; Escuela de Ingeniería y Ciencias; Campus Ciudad de MéxicoPurpose – Three-dimensional printing is a technology that can provide one of the most efficient methods for product design, prototyping, and production being positively cost-effective due to the efficiency of the design, the customization of the objects, and the variety of materials. However, contemporary computer-aided design (CAD) and computer-aided manufacturing (CAM) systems use different infill patterns that have the same similarity, they usually contain sharp angles and non-continuous trajectories. A new algorithm is used to create an infill that minimizes the sharp angles in the infills and having a continuous path in order to generate the necessary tool-path information. In this thesis, we propose a new algorithm to create a new type of infill that reduces the amount of time and material used in each layer of an object printed with the Fused Deposition Modeling (FDM) technology. Design/methodology/approach – In the proposed algorithm, a grid is generated in a layer with the specific shape that corresponds to a 3D object, it consists of a percentage according to the one is chosen by the user, being 20% the most used in this technology. The infill is created with a continuous path and minimizing the sharp angles in the whole layer, the optimization is accomplished by using simulated annealing. Findings – By creating and running different experiments in various models of FDM 3D printers, we proved the base of our algorithm, that by having sharp angles in the infill, the total printing time is increased due to the positive and negative acceleration of the printing head, altogether with the non-continuous path that increases the time when stopping extruding material and staring again. Applying the proposed algorithm, this information can be used to create a new path for an infill giving as result the reduction of time and material in each layer of a 3D printed object. Research limitations/implications – The proposed methodology can be applied to create a new infill for objects that will be printed with the FDM technology. However, the algorithm works for optimizing one layer at a time. In the future, we would like to investigate the results between fill patterns of consecutive layers, where consecutive layers can’t be identical to provide good resiliency to the object. Originality/value – The proposed algorithm is a novel development for creating a new type of infill that reduces the amount of time and material employed in the fabrication of 3D objects using the Fused Deposition Modeling (FDM) technology.
- New Generation of 3D printed electrospray sources for microencapsulation in biomedical applications(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018-05-14) Benjamin de Jesus, Benjamín Evani; Zúñiga, Alex Elías; Olivera Trejo, Daniel; Martínez Romero, Oscar; García López, ErikaAdditive manufacturing by Digital Light Processor stereolithography (DLP-SLA) has shown a great potential to create high-density microfluidic devices due to it offers high resolution and relatively low-cost. In this work, the fabrication of 3D printed coaxial electrospray sources with a high density of emitters are reported by using DLP-SLA technology. The 3D printed electrospray sources have also proven to work correctly as a source of microencapsulation. To accomplish the objectives of the study, it was addressed in three sections primarily. First, the influence of the involved parameters on the final properties of printed microchannels was evaluated by the analysis and characterization of this promising additive manufacturing technology. Second, based on its maximum printing capabilities, multiplexed electrospray sources were designed. To manufacture suitable channels with diameters up to 160 µm, it was key to establish the smallest dimensions of the new devices, which were successfully printed with 41 and 57 coaxial emitters respectively. Finally, Vitamin D and alginate hydrogel were used to produce core-shell microparticles as an initial exploration in the encapsulation of biomedical substances via coaxial electrospraying. The accurate encapsulation was dependent on the flow rate, applied voltages, and mainly on the concentration of alginate solution.