Publications without Fulltext
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14288/3
Browse
204 results
Search Results
Publication Metadata only The impact of the vitamin D and resveratrol administration on the stiffness and elasticity of T2DM rat aorta associated with the trace element and mineral levels(Elsevier Inc., 2024) Anapali-Aykac, Merve; Ulutin, Turgut; Komurcu-Bayrak, Evrim; Kaya-Dagistanli, Fatma; Department of Mechanical Engineering; Ulusu, Nuriye Nuray; Aydemir, Duygu; Salman, Naveed; Karimzadehkhouei, Mehrdad; Alaca, Burhanettin Erdem; Department of Mechanical Engineering; Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); Koç University Surface Science and Technology Center (KUYTAM) / Koç Üniversitesi Yüzey Teknolojileri Araştırmaları Merkezi (KUYTAM); n2STAR-Koç University Nanofabrication and Nanocharacterization Center for Scientifc and Technological Advanced Research; School of Medicine; Graduate School of Health Sciences; College of EngineeringBackground: Type 2 diabetes mellitus (T2DM) is directly associated with increased aortic stiffness, reduced aortic elasticity, and aortic dissection, which are independent risk factors for cardiovascular death. Since Vit D and resveratrol have been reported due to their cardioprotective effects, in this study, we aim to evaluate the impact of Vit D and resveratrol treatment alone or in combination on the aortic health associated with trace element and mineral levels in a high-fructose diet/streptozotocin-induced T2DM model. Methods: We investigated biomechanical changes of the aorta samples via a custom-built stretcher, where trace element and mineral levels in aorta samples were determined via inductively coupled plasma mass spectrometry (ICP-MS) following acidic microwave digestion. Results: Vitamin D treatment ameliorated the adverse effects of T2DM on aortic stiffness, aortic elasticity, and relaxation modulus in diabetic rats. Trace element and mineral levels correlated with cardiovascular homeostasis, including Fe, Cu, Zn, Se, and Na, have been regulated upon Vit D treatment in diabetic and healthy rats. On the other hand, resveratrol treatment alone or in combination with Vit D did not show any positive effects on biomechanical properties and trace element metabolism of diabetic or healthy rats, according to our data. Conclusion: Vit D can be used in T2DM patients to protect their cardiovascular health and should be considered a promising targeted therapy approach via nanoparticles to target cardiovascular diseases in the future.Publication Metadata only Deep learning-augmented T-junction droplet generation(Elsevier Inc., 2024) N/A; Department of Mechanical Engineering; Ahmadpour, Abdollah; Shojaeian, Mostafa; Taşoğlu, Savaş; Department of Mechanical Engineering; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); Koç Üniversitesi İş Bankası Yapay Zeka Uygulama ve Araştırma Merkezi (KUIS AI)/ Koç University İş Bank Artificial Intelligence Center (KUIS AI); Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); College of EngineeringDroplet generation technology has become increasingly important in a wide range of applications, including biotechnology and chemical synthesis. T-junction channels are commonly used for droplet generation due to their integration capability of a larger number of droplet generators in a compact space. In this study, a finite element analysis (FEA) approach is employed to simulate droplet production and its dynamic regimes in a T-junction configuration and collect data for post-processing analysis. Next, image analysis was performed to calculate the droplet length and determine the droplet generation regime. Furthermore, machine learning (ML) and deep learning (DL) algorithms were applied to estimate outputs through examination of input parameters within the simulation range. At the end, a graphical user interface (GUI) was developed for estimation of the droplet characteristics based on inputs, enabling the users to preselect their designs with comparable microfluidic configurations within the studied range.Publication Metadata only Perspective on smart materials for empowering small-scale manipulation(Elsevier B.V., 2024) Zhang, Mingchao; Department of Mechanical Engineering; Sitti, Metin; Department of Mechanical Engineering; College of EngineeringPublication Metadata only Digital monitoring of the microchannel filling flow dynamics using a non-contactless smartphone-based nano-liter precision flow velocity meter(Elsevier Advanced Technology, 2024) Xu, Weiming; Köydemir, Hatice Ceylan; Department of Mechanical Engineering; Atik, Abdulkadir Yasin; Beker, Levent; Department of Mechanical Engineering; Graduate School of Sciences and Engineering; College of EngineeringMicrofluidic systems find widespread applications in diagnostics, biological research, chemistry, and engineering studies. Among their many critical parameters, flow rate plays a pivotal role in maintaining the functionality of microfluidic systems, including droplet-based microfluidic devices and those used in cell culture. It also significantly influences microfluidic mixing processes. Although various flow rate measurement devices have been developed, the challenge remains in accurately measuring flow rates within customized channels. This paper presents the development of a 3D-printed smartphone-based flow velocity meter. The 3D-printed platform is angled at 30 degrees to achieve transparent flow visualization, and it doesn't require any external optical components such as external lenses and filters. Two LED modules integrated into the platform create a uniform illumination environment for video capture, powered directly by the smartphone. The performance of our platform, combined with a customized video processing algorithm, was assessed in three different channel types: uniform straight channels, straight channels with varying widths, and vessel-like channel patterns to demonstrate its versatility. Our device effectively measured flow velocities from 5.43 mm/s to 24.47 mm/s, with video quality at 1080p resolution and 60 frames per second, for which the measurement range can be extended by adjusting the frame rate. This flow velocity meter can be a useful analytical tool to evaluate and enhance microfluidic channel designs of various lab-on-a-chip applications.Publication Metadata only Loop-mediated isothermal amplification-integrated CRISPR methods for infectious disease diagnosis at point of care(American Chemical Society, 2023) Yetisen, Ali K.; Department of Mechanical Engineering; Yığcı, Defne; Atçeken, Nazente; Taşoğlu, Savaş; Department of Mechanical Engineering; N/A; Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); School of Medicine; College of EngineeringInfectious diseases continue to pose an imminent threat to global public health, leading to high numbers of deaths every year and disproportionately impacting developing countries where access to healthcare is limited. Biological, environmental, and social phenomena, including climate change, globalization, increased population density, and social inequity, contribute to the emergence of novel communicable diseases. Rapid and accurate diagnoses of infectious diseases are essential to preventing the transmission of infectious diseases. Although some commonly used diagnostic technologies provide highly sensitive and specific measurements, limitations including the requirement for complex equipment/infrastructure and refrigeration, the need for trained personnel, long sample processing times, and high cost remain unresolved. To ensure global access to affordable diagnostic methods, loop-mediated isothermal amplification (LAMP) integrated clustered regularly interspaced short palindromic repeat (CRISPR) based pathogen detection has emerged as a promising technology. Here, LAMP-integrated CRISPR-based nucleic acid detection methods are discussed in point-of-care (PoC) pathogen detection platforms, and current limitations and future directions are also identified.Publication Metadata only Nanotechnology-based electrochemical biosensors for monitoring breast cancer biomarkers(John Wiley and Sons Inc, 2023) Nasrollahpour, Hassan; Khalilzadeh, Balal; Hasanzadeh, Mohammad; Rahbarghazi, Reza; Estrela, Pedro; Naseri, Abdolhossein; Sillanpää, Mika; Department of Mechanical Engineering; Taşoğlu, Savaş; Department of Mechanical Engineering; Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); College of EngineeringBreast cancer is categorized as the most widespread cancer type among women globally. On-time diagnosis can decrease the mortality rate by making the right decision in the therapy procedure. These features lead to a reduction in medication time and socioeconomic burden. The current review article provides a comprehensive assessment for breast cancer diagnosis using nanomaterials and related technologies. Growing use of the nano/biotechnology domain in terms of electrochemical nanobiosensor designing was discussed in detail. In this regard, recent advances in nanomaterial applied for amplified biosensing methodologies were assessed for breast cancer diagnosis by focusing on the advantages and disadvantages of these approaches. We also monitored designing methods, advantages, and the necessity of suitable (nano) materials from a statistical standpoint. The main objective of this review is to classify the applicable biosensors based on breast cancer biomarkers. With numerous nano-sized platforms published for breast cancer diagnosis, this review tried to collect the most suitable methodologies for detecting biomarkers and certain breast cancer cell types.Publication Metadata only Intraoperative fluoroscopic safety assessment of femoral head implants with 3-dimensional risk parameters to minimize cut-out(Turkish Assoc Orthopaedics Traumatology, 2023) Department of Mechanical Engineering; Subaşı, Ömer; Aslan, Lercan; Oral, Atacan; Demirhan, Mehmet; Seyahi, Aksel; Lazoğlu, İsmail; Department of Mechanical Engineering; Manufacturing and Automation Research Center (MARC); Graduate School of Sciences and Engineering; School of Medicine; College of EngineeringObjective: This study aimed to introduce a method to extract the 3-dimensional spatial position of the femoral head implant from 2-dimensional fluoroscopic projections, allowing surgeons to assess fixation much more accurately and prevent cut-out complications in proximal femoral nailing. Methods: To define a safety region for the tip in the femoral head, a novel 3-dimensional distance-based risk parameter called TSD3D was introduced. An intersection algorithm was developed that solely takes the fluoroscopic anteroposterior and lateral distances to reveal the 3-dimensional location of the screw or Kirschner wire tip, enabling the utilization of the 3-dimensional parameter. Orthogonal perspectives of 6 femur proximal bone substitutes with randomly inserted Kirschner wires were imaged under fluoroscopy. The developed algorithm was used to calculate the implant tip location in 3-dimensional from 2-dimensional images for each case. Algorithm accuracy was validated with the computed tomography-obtained 3-dimensional models of the same femur substitutes. Results: The newly introduced risk parameter successfully visualizes 3-dimensional safety regions. Utilizing the 2-dimensional fluoroscopic distances as inputs to the algorithm, the 3-dimensional position of the implanted Kirschner wire tip is calculated with a maximum of 9.8% error for a single Cartesian-coordinate measurement comparison. Conclusion: By incorporating the newly introduced 3-dimensional risk parameter, surgeons can more precisely evaluate the position of the implant and avoid cut-out complications, instead of relying solely on misleading 2-dimensional fluoroscopic projections of the femoral head.Publication Metadata only Machine learning-based shear optimal adhesive microstructures with experimental validation(Wiley-V C H Verlag Gmbh, 2023) Dayan, Cem Balda; Son, Donghoon; Aghakhani, Amirreza; Wu, Yingdan; Demir, Sinan Ozgun; Department of Mechanical Engineering; Sitti, Metin; Department of Mechanical Engineering; College of Engineering; School of MedicineBioinspired fibrillar structures are promising for a wide range of disruptive adhesive applications. Especially micro/nanofibrillar structures on gecko toes can have strong and controllable adhesion and shear on a wide range of surfaces with residual-free, repeatable, self-cleaning, and other unique features. Synthetic dry fibrillar adhesives inspired by such biological fibrils are optimized in different aspects to increase their performance. Previous fibril designs for shear optimization are limited by predefined standard shapes in a narrow range primarily based on human intuition, which restricts their maximum performance. This study combines the machine learning-based optimization and finite-element-method-based shear mechanics simulations to find shear-optimized fibril designs automatically. In addition, fabrication limitations are integrated into the simulations to have more experimentally relevant results. The computationally discovered shear-optimized structures are fabricated, experimentally validated, and compared with the simulations. The results show that the computed shear-optimized fibrils perform better than the predefined standard fibril designs. This design optimization method can be used in future real-world shear-based gripping or nonslip surface applications, such as robotic pick-and-place grippers, climbing robots, gloves, electronic devices, and medical and wearable devices. This study combines the machine learning-based optimization and finite-element-method-based shear mechanics simulations to find shear-optimized fibril designs automatically. The results show that the computed optimal fibrils perform better than the predefined standard fibril designs. This design optimization framework can be used in future nonslip surface applications in grippers, robots, gloves, and electronic, medical, and wearable devices.Publication Metadata only Magnetic putty as a reconfigurable, recyclable, and accessible soft robotic material(Wiley-V C H Verlag Gmbh, 2023) Li, Meng; Pal, Aniket; Byun, Junghwan; Gardi, Gaurav; Department of Mechanical Engineering; Sitti, Metin; Department of Mechanical Engineering; College of Engineering; School of MedicineMagnetically hard materials are widely used to build soft magnetic robots, providing large magnetic force/torque and macrodomain programmability. However, their high magnetic coercivity often presents practical challenges when attempting to reconfigure magnetization patterns, requiring a large magnetic field or heating. In this study, magnetic putty is introduced as a magnetically hard and soft material with large remanence and low coercivity. It is shown that the magnetization of magnetic putty can be easily reoriented with maximum magnitude using an external field that is only one-tenth of its coercivity. Additionally, magnetic putty is a malleable, autonomous self-healing material that can be recycled and repurposed. The authors anticipate magnetic putty could provide a versatile and accessible tool for various magnetic robotics applications for fast prototyping and explorations for research and educational purposes. Permanent magnetic particles embedded in a viscoelastic putty matrix result in a self-healing soft magnetic material with both high remanence and low coercivity, providing hard-magnetic performance without the need for inaccessible strong magnetic fields. Programmable and reconfigurable magnetization, frequency-dependent force output, and easy to shape and assemble, magnetic putty can be a versatile tool in research prototyping and inspire future explorations.Publication Metadata only Liquid metal actuators: a comparative analysis of surface tension controlled actuation(Wiley-V C H Verlag Gmbh, 2023) Liao, Jiahe; Majidi, Carmel; Department of Mechanical Engineering; Sitti, Metin; Department of Mechanical Engineering; College of Engineering; School of MedicineLiquid metals, with their unique combination of electrical and mechanical properties, offer great opportunities for actuation based on surface tension modulation. Thanks to the scaling laws of surface tension, which can be electrochemically controlled at low voltages, liquid metal actuators stand out from other soft actuators for their remarkable characteristics such as high contractile strain rates and higher work densities at smaller length scales. This review summarizes the principles of liquid metal actuators and discusses their performance as well as theoretical pathways toward higher performances. The objective is to provide a comparative analysis of the ongoing development of liquid metal actuators. The design principles of the liquid metal actuators are analyzed, including low-level elemental principles (kinematics and electrochemistry), mid-level structural principles (reversibility, integrity, and scalability), and high-level functionalities. A wide range of practical use cases of liquid metal actuators from robotic locomotion and object manipulation to logic and computation is reviewed. From an energy perspective, strategies are compared for coupling the liquid metal actuators with an energy source toward fully untethered robots. The review concludes by offering a roadmap of future research directions of liquid metal actuators. This review summarizes the operation and design principles of surface tension-controlled actuation by liquid metals and discusses their performance and functionalities. Theoretical pathways toward higher performances, thanks to the unique scaling law of surface tension, are analyzed and compared to other popular soft actuators. The review concludes by offering a roadmap for future research directions.