Current lithography approaches underpinning the fabrication of microfluidic devices rely on UV exposure of photoresists to define microstructures in these materials. Conventionally, this objective is achieved with gas discharge mercury lamps, which are capable of producing high intensity UV radiation. However, these sources are costly, have a comparatively short lifetime, necessitate regular calibration, and require significant time to warm up prior to exposure taking place. To address these limitations we exploit advances in solid state sources in the UV range and describe a fast and robust wafer-scale laboratory exposure system relying entirely on UV-Light emitting diode (UV-LED) illumination. As an illustration of the potential of this system for fast and low-cost microfluidic device production, we demonstrate the microfabrication of a 3D spray-drying microfluidic device and a 3D double junction microdroplet maker device.
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http://dx.doi.org/10.1063/1.4976690 | DOI Listing |
Life Sci
December 2024
Department of Mechanical Engineering, University of Zaragoza, Zaragoza, Spain; Instituto de Investigación en Ingeniería de Aragón (I3A), Zaragoza, Spain. Electronic address:
Aims: CAR-T cell therapy has attracted considerable attention in recent years owing to its well-known efficacy against haematopoietic malignancies. Nevertheless, this immunotherapy fails against solid tumours due to hostile conditions found in the tumour microenvironment. In this context, many relevant biochemical factors have been thoroughly studied, but crucial mechanical cues have been underestimated.
View Article and Find Full Text PDFBiosens Bioelectron
December 2024
School of Materials Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, 315200, China. Electronic address:
Routine screening for cardiovascular diseases (CVDs) through point-of-care assays for at-home or community-based testing of salivary biomarkers can significantly improve patient outcomes. However, its translatability has been hindered by a dearth of biosensing devices that streamline assay procedures for rapid biomarker quantitation. To address this challenge through end-to-end engineering, we developed an in-house, all-in-one microfluidic immunosensing device that integrates on-chip vibration-enhanced incubation, magnetic-assisted separation using immune magnetic bead probes, and colorimetric readout via absorbance measurements.
View Article and Find Full Text PDFMethods Mol Biol
December 2024
Biomolecular Interaction Centre, University of Canterbury, Christchurch, New Zealand.
In this chapter, we describe the design and manufacture of a Lab-on-a-Chip (LoC) device suitable for measuring the μN forces exerted by tips of growing Phytophthora hyphae. LoC describes microfluidic devices, typically made of the polymer polydimethylsiloxane (PDMS), that are increasingly being used to answer fundamental questions in biological, chemical, physical, and medical research. These LoC devices enable the integration of several laboratory functions on small plastic devices that are quick to produce and easy to replicate.
View Article and Find Full Text PDFBiosensors (Basel)
December 2024
Faculty of Engineering and Applied Sciences, Cranfield University, Cranfield, Bedfordshire MK43 0AL, UK.
Lung cancer is the most common type of cancer diagnosed worldwide and is also among the most fatal. Early detection, before symptoms become evident, is fundamental for patients' survival. Therefore, several lung cancer biomarkers have been proposed to enable a prompt diagnosis, including neuron-specific enolase (NSE) and carcinoembryonic antigen (CEA).
View Article and Find Full Text PDFBiosensors (Basel)
December 2024
Department of Smart Health Science and Technology, Kangwon National University, Chuncheon 24341, Republic of Korea.
Microfluidic devices have revolutionized biosensing by enabling precise manipulation of minute fluid volumes across diverse applications. This review investigates the incorporation of machine learning (ML) into the design, fabrication, and application of microfluidic biosensors, emphasizing how ML algorithms enhance performance by improving design accuracy, operational efficiency, and the management of complex diagnostic datasets. Integrating microfluidics with ML has fostered intelligent systems capable of automating experimental workflows, enabling real-time data analysis, and supporting informed decision-making.
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