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Microfluidic devices have become essential for controlling concentrations and chemical environments in cell-based assays, osmotic stress studies, and drug administration experiments in biomedical research, cryobiology, and other diagnostic applications1,2. These devices allow for the precise control of fluid flow and concentration at the micrometer scale. For instance, microfluidic devices have been used for the addition and removal of cryoprotective agents during the cryopreservation of cells to prevent osmotic damage3. Similarly, these microfluidic devices are also used to establish serial dilutions of antibiotics to test antimicrobial susceptibility against resistant organisms4. This allows the identification of optimal drug combinations for treating antimicrobial-resistant (AMR) infections. Moreover, it enables live cell imaging and monitoring, reduces reagent consumption, and facilitates precision in concentration gradients, in contrast to macroscopic techniques, such as the Boyden chamber, which provide coarser and static gradients with no real-time cell monitoring1,5. These capabilities enable mimicking in vivo-like chemical environments in vitro for the high-resolution studies of cell behavior, cell migration, cell invasion assays, drug response, and toxicity testing.
Despite the advantages of microfluidic devices, traditional microfabrication techniques for these devices (e.g., photolithography and polydimethylsiloxane (PDMS) molding) are often time-consuming, expensive, and require specialized equipment and expertise6. Therefore, creating a new device through soft lithography can take days of work, and iterative design changes are also labor-intensive6. Recently, 3D printing has become a rapid prototyping alternative to overcome these limitations. However, early adoption of 3D-printed microfluidics was limited by the cost of high-resolution printers (often ≥ $10,000), and inexpensive units do not provide enough resolution7. The improvement in low-cost LCD-based stereolithography has significantly advanced this field as the consumer-grade printers (often ~$150-$500) now offer microscale (~20-50 µm) resolution, sufficient for many microfluidic applications5. Considering these advancements, the overall goal of our work was to establish a cost-effective and efficient workflow for fully 3D-printed microfluidic devices that can generate controlled concentration gradients without the typical barriers of fabrication complexity8. We aimed to develop a rapid and reliable method for producing custom microfluidic model systems by leveraging a consumer-grade LCD 3D printer and biocompatible resin, making it accessible to a wide range of laboratories.
Here, we present a 3D-printed microfluidic device capable of mixing solutions, generating continuous and programmable concentration gradients, and forming solution combinations and programmable concentration gradients. The device is fabricated through desktop stereolithography and assembled completely, utilizing an open-channel design that is completely sealed with a transparent adhesive film resin-induced channel obstruction is a widely reported challenge in microfluidic stereolithography9,10; however, this approach develops a robust, leak-proof microfluidic device without requiring specialized surface treatment or bonding equipment and overcomes the common problem of uncured resin obstructing the small channels during printing11. Furthermore, by using inexpensive, UV-curable resins, each device can be rapidly produced for only a few dollars in materials. Another advantage is that its design is not fixed; it can be easily modified and reprinted, unlike commercial devices that cost hundreds of dollars each and cannot be customized12,13,14.
For controlling solution concentration, the 3D-printed device was integrated with dual syringe pumps (one for each input solution) controlled by an open-source Python script, as previously described for microfluidic applications15. This allows the precise regulation of flow rates, gradient steps, and timing in an automated fashion.15 Flow rates in our system typically range from a few microliters to 30 µl/min per inlet, within which uniform mixing was consistently achieved, while maintaining minimal shear stress. Using this system, we generated linear concentration profiles spanning from roughly iso-osmotic (~300 mOsm/kg) to extreme hyperosmotic (~9,000 mOsm/kg) conditions and back to isotonic, over defined time intervals. Continuous osmometer readings confirmed that the generated gradients were linear and accurate, and a simple colorimetric assay verified efficient mixing of the input solutions. These results validate that complex, time-varying concentration gradients can be reproducibly achieved with our fully 3D-printed platform, highlighting its potential to improve the throughput and standardization of osmotic exposure studies at a fraction of the usual cost.
This 3D-printed microfluidic platform demonstrates the recent advances toward "lab-on-a-chip" solutions that provide resolution sufficient for many cell-based microfluidic applications 16,17. Moreover, experts predict that additive manufacturing is expected to become a leading method for microdevice fabrication as advances in printer technology and materials persist6. A key advantage of our approach is that accessibility does not come at the expense of performance. Consistent with prior studies demonstrating low-cost microfluidic fabrication strategies18,19, these affordable printers produce device features that are comparable to many commercial industrial-grade systems in terms of reliability and accuracy7. Researchers can thus adopt this method with confidence that it will meet the precision requirements of most applications. This platform can be tailored to a variety of needs, from automating multi-step cryoprotectant addition/removal, to screening drug responses to various concentration ranges and delivering precise chemical modulation in organ-on-chip models16. Particularly, the printed resolution sizes (around 100 µm channel dimensions) are sufficient for many biological assays16 providing a good range for typical cell or particle length-scales. In summary, by significantly reducing fabrication time, cost, and expertise requirements, this fully 3D-printed microfluidic platform allows investigators to prototype and implement custom microfluidic solutions efficiently. While manual post-processing steps like surface polishing and adhesive tape sealing are still required, the overall workflow remains accessible and time-saving compared to conventional microfabrication methods.