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. 2021 May 21;15(3):034107. doi: 10.1063/5.0052314

Making quantitative biomicrofluidics from microbore tubing and 3D-printed adapters

Giraso Keza Monia Kabandana 1, Adam Michael Ratajczak 1, Chengpeng Chen 1,a)
PMCID: PMC8140816  PMID: 34084257

Abstract

Microfluidic technology has tremendously facilitated the development of in vitro cell cultures and studies. Conventionally, microfluidic devices are fabricated with extensive facilities by well-trained researchers, which hinder the widespread adoption of the technology for broader applications. Enlightened by the fact that low-cost microbore tubing is a natural microfluidic channel, we developed a series of adaptors in a toolkit that can twine, connect, organize, and configure the tubing to produce functional microfluidic units. Three subsets of the toolkit were thoroughly developed: the tubing and scoring tools, the flow adaptors, and the 3D cell culture suite. To demonstrate the usefulness and versatility of the toolkit, we assembled a microfluidic device and successfully applied it for 3D macrophage cultures, flow-based stimulation, and automated near real-time quantitation with new knowledge generated. Overall, we present a new technology that allows simple, fast, and robust assembly of customizable and scalable microfluidic devices with minimal facilities, which is broadly applicable to research that needs or could be enhanced by microfluidics.

INTRODUCTION

Microfluidics are miniaturized devices that manipulate small amounts of liquid within flow channels on the 1–1000 μm scale.1 This technology has tremendously facilitated developments in chemical measurement,2 separation,3 and synthesis4 in the past few decades. In particular, microfluidics provide a dynamic platform for cell cultures.5 Compared to static cell cultures in flasks/dishes, the dynamic flow enables continuous oxygen/nutrient supply and waste removal, thereby maintaining a fresh microenvironment for cells therein.6 More importantly, the flow can introduce shear stress, which is critical for certain cell types, such as endothelial cells.7 This technology is often referred to as organs-on-a-chip, and it holds the potential to revolutionize disease modeling and drug testing by mimicking the behaviors of tissues/organs in vivo.6,8,9

A milestone in the fabrication of microfluidic devices is the invention of soft lithography by the Whitesides group.1 Briefly, in a clean room, a master replica mold (typically on a silicon wafer) with raised microstructures is prepared by using photomasks, photoresist resin, and photoirradiation; the prepolymer of PDMS (polydimethylsiloxane) is poured onto the mask followed by heat-stimulated curing to replicate the microstructures; the PDMS slab can then be sealed onto another piece of PDMS or glass, thereby forming enclosed microfluidic channels.10 Recently, 3D-printing has been exploited to fabricate microfluidic devices with complex microstructures.11 Compared to PDMS-based microfluidics, 3D-printed devices are more robust, standardized (e.g., threaded connecting ports), and customizable.12 However, there are limitations including the relatively low resolution of current 3D-printers and the resulting rough surfaces of the microchannels.13

Currently, microfluidic technology is predominantly found in highly specialized laboratories in academia—wider translation is hindered by the high facility, time, and personnel requirements needed for fabrication of the devices.14 The fact that microfluidic devices are becoming more and more integrative worsens the situation. Fully integrated devices are inflexible for post-fabrication modification, and if any part fails, the whole device must be discarded, which further increases the costs. The concept of modular microfluidics, which allows building blocks to be assembled by users for the production of a desired microfluidic device, has been proposed as a possible solution to these problems.14–16 However, while it is true that modular microfluidics are more flexible for customization and adjustments, current technologies do not offer opportunities for widespread adoption of microfluidic devices. High-end facilities are still required to fabricate well-defined microchannels in the modules, and these are usually single-use blocks due to the arduous process of cleaning the microchannels therein. Moreover, a universal protocol outlining the development of an easy connection between the modules for precisely delivering liquids on the μl scale has not been formulated. Therefore, in this work, we present our invention of a modular toolkit for easy assembly of functional microfluidic devices without fabricating microchannels. Instead, disposable microbore tubing was used as the microchannel, and microadapters were 3D-printed to connect and/or adapt the tubing to form microfluidic units. Utilizing the flexibility of the tubing, the well-characterized ports in the adapters allowed for plug-and-play and leakage-free connections. The adapters were reusable and the low-cost tubing (microchannels) could be discarded and replaced. We demonstrated the versatility of this technology by assembling a microfluidic device using the toolkit, which integrated 3D cell culture, fluids joining/mixing, and near real-time quantitation.

EXPERIMENTAL

Design and fabrication of the microadapters

All microadapters were designed in Autodesk Inventor 2019 (CA, USA). The detailed engineering sketches are included in Figs. S2 and S3 in the supplementary material. The design files were uploaded to our MJP 5600 3D-printer (3D Systems, SC) for fabrication. The VisiJet CR-CL200 material was used, the composition of which is proprietary but is known to be acrylate-based.

Connecting microbore tubing to the adapters

Microbore Tygon tubing [inner diameter (i.d.) = 0.5 mm; outer diameter (o.d.) = 1.5 mm; Cole-Parmer, NJ] was used as disposable microchannels. The ends of the tubing were scored flat to avoid dead volumes after assembly. As shown in Fig. 1(a), a scoring guider was used for this purpose. Figure S1 in the supplementary material demonstrates the process. A piece of tubing was placed through a hole (1.6 mm diameter, slightly larger than the o.d. of the tubing) in the guider, followed by being scored using a sharp blade along the surface of the guider.

FIG. 1.

FIG. 1.

The three subsets of the toolkit. (a) Microbore tubing segments (a), the scoring guider (b), and a blade (c). The guider had holes of 1.6 mm diameter (0.1 mm larger than the tubing), where a tubing segment could be inserted through. Along the surface of the guider, a blade could be utilized to score the tubing flat. Scale bar = 1 cm. (b)–(d) The flow regulators including a T-shaped flow joiner with three connection ports (b), a serpentine creator that could configure tubing to form a flow serpentine (c), and an optical detector that could immobilize a tubing segment in a U-shape for absorbance measurements (D). Scale bars = 2 mm. The cell culture modules including a holder (e), inserts with 3D microfibrous scaffolds (f), and a lid (g). Scale bars = 2 mm.

Two types of flow adapters were used: tubing configuration jigs and connectors. Tubing configuration jigs had holes or circular grooves for holding the tubing in certain configurations. Connectors had ports where the tubing could be connected. For the configuration jigs, the diameter of the holes and the grooves was 1.5 mm, the same as the o.d. of the tubing. For connectors, connection ports of 1.4 mm were used so that the tubing could be crumpled in tightly without leakage.

Measuring the mixing efficiency of the serpentine adapter

Red and green food color solutions [1% in Phosphate-Buffered Saline (PBS)] were delivered into the tubing serpentine on the adapter by two syringe pumps and a T-shaped flow joiner at 6 μl/min. Microscopic pictures of the solutions in the tubing were taken and analyzed by using the software ImageJ. The area of the red stream was used as the measurement of mixing efficiency. At the beginning of the mixing (first path of the serpentine), the red stream took 50% of the tubing width, which was normalized to 0% mixing. If no red was visible, or the area of the red stream was 0, a 100% mixing was achieved. By this scale, the mixing efficiency was quantified.

The 3D cell culture modules

The suite included a holder, a lid, and a fibrous insert. The holder was 3D-printed from a flexible material (CE-NT; composition is proprietary; 3D Systems, SC) with a concave obround slot of 15 mm long, 5 mm wide, and 3.5 mm deep. A 3.0 mm high matching lid was fabricated from the rigid material with two holes (1.4 mm diameter) to connect tubing. Upon being 3D-printed, we treated the printed parts with extra UV (40 mW for 24 h), followed by thorough rinsing with water and ethanol. The fibrous insert was prepared by electrospinning a layer (50 μm thick) of polycaprolactone (PCL) fibers on a polystyrene film (200 μm thick) following the previously reported protocol.17 Upon using, the cell-laden insert was placed in the holder with the fiber side facing up. After the lid was inserted into the slot of the holder, a 250 μm space was formed between the insert and the end of the lid, thereby allowing for flow through the channel.

Computational fluid dynamics (CFD) simulation

CFD simulation was conducted by using the software Autodesk CFD (Autodesk, CA). Acrylate was assigned as the material of the cell chamber and PBS was used to simulate the media. The boundary and initial conditions were defined by the flow rate, which was 6 μl/min.

Assembling the microfluidic device and characterizing its analytical merits

Figure 5(a) shows the assembled microfluidic device. Due to the hydrophobicity of the device material that could adsorb molecules on its surface as shown in the supplementary material (Fig. S4), cell media (with 10% bovine serum) was flowed through the devices for about 2 h before the quantitative experiments. To characterize the analytical merits of the device, nitrite standards of 0.00, 1.25, 2.50, 5.00, and 10.00 μM prepared in phenol red-free L-15 media were pumped through the cell chamber (with the insert but no cells) at 6 μl/min toward the T-shaped flow joiner, where the Griess reagent was mixed in by another syringe pump at the same flow rate. The spectrometer connected to the detector tubing via optical fibers was set to take absorbance measurements every 20 s at 520 and 600 nm. 520 nm was the maximum absorbance wavelength while 600 nm was used to calibrate any baseline drifting by, e.g., the light source. (Abs520-Abs600) was used as the signal. Each standard was flowing for about 10 min before the next concentration was loaded. The average signals of the standards were plotted as a function of the concentrations. R2 was calculated by the least squares regression method. The detection limit (LOD) was calculated by multiplying 3 with the standard deviation of the blank and dividing the result by the slope of the calibration curve.

FIG. 5.

FIG. 5.

Using the adapters and the microbore tubing to assemble a microfluidic device for 3D cell culture and near real-time measurements. (a) The assembled device allowed media to flow through the cell chamber to the T-shaped flow joiner, where the Griess reagent was mixed in. The mixture was further mixed in the serpentine and then entered the optical detector. Scale bar = 1 cm. (b) Using nitrite standards to characterize the device (without cells). Step increased absorbance signals were obtained with increased nitrite concentrations. Plotting the average signals on each plateau as a function of the concentrations generated a linear calibration with an LOD of 0.37 μM. (c) Macrophages (arrow) on the fibrous ECM tended to fuse to form giant cells, similar to in vivo.27 Scale bar = 20 μm. (d) Near real-time (20-s intervals) quantitation of nitrite from macrophages with or without stimulation. With LPS (black line), the cells started to release significant amounts of nitrite after about 0.5 h and continued for 3 h until the concentration plateau appeared. For cells without the stimulation (blue line), minimal nitrite was detected. After the measurements, the cells on an insert were lysed and the total amount of proteins was detected as a gauge of cell numbers. All the nitrite data were then normalized to per cell. N = 5, error = s.e.m.

Macrophage culture and measurements

Ten inserts were placed in a 60 mm Petri dish with the fiber side facing up, which was then filled with 5 ml 70% ethanol. The inserts in the Petri dish were placed in a UV biohood overnight for the ethanol to dry. All 3D-printed parts were autoclaved and then transferred to the biohood. The microtubing was sprayed by 70% ethanol and then brought into the biohood. Using sterile syringes, 70% ethanol was flushed through the inside of the tubing for three times, followed by sterile PBS (three times). The remaining PBS after the last rinsing was pushed out by an air-loaded syringe. The tubing was then left in UV for 24 h before use. The commonly used RAW264.7 macrophage cell line was used for this study.18 Cells cultured in a T75 flask between passages 3 and 5 were removed by a scraper and resuspended in L-15 media to a final density of 2 × 106 cells/ml. An aliquot of 2 ml of the cell suspension was pipetted onto the sterilized inserts. The dish was then incubated at 37 °C (humid; 5% CO2) for 6 h, after which 5 ml fresh media was added. The cells were cultured for another 48 h with daily media change.

When a cell-laden insert was placed in the chamber, phenol red-free media with or without lipopolysaccharide (LPS, 1 μg/ml; Millipore-Sigma, MO) was pumped through at 6 μl/min for 3.5 h. The cell chamber was placed in a desktop humid incubator at 37 °C. Any nitrite from the macrophages was brought out by the flow to the T-shaped flow joiner to combine with the Griess reagent (6 μl/min). After further mixing in the serpentine, absorbance was measured using the same protocol as described for the nitrite standards. After each run, the insert was removed, rinsed by PBS, and placed in a lysis buffer to lyse the cells. The total amount of proteins in the lysate was quantified by the BCA assay as a measurement of the cell numbers.

For converting the protein amounts to the cell number, the following procedure was conducted as previously reported.19 RAW264.7 cells were cultured in a T75 flask; after 7 days, they were detached from the surface using a scraper and resuspended in L-15 media to cell suspension standards of 1.14 × 107, 5.73 × 106, 2.87 × 106, and 1.43 × 106 cells per 5 ml media. A hemocytometer was used to count the cells. Next, 1 ml of each cell standard was mixed with 1 ml lysis buffer. The total protein amount in the lysates was then measured by the BCA protein assay and a calibration curve was constructed to correlate protein and cell number. After the flow-based nitrite measurements, the cell-laden inserts were rinsed and soaked in a 2 ml lysis buffer. By quantifying the BCA signals and plotting them in the curve (BCA vs cell numbers), the number of cells on each insert was determined. Based on that, the measured nitrite was normalized to per cell.

RESULTS AND DISCUSSION

Overview of the toolkit

Microchannels are the key component of a microfluidic device, and they are commonly fabricated by soft lithography or 3D-printing.1,13 However, these protocols demand extensive facilities and experienced researchers, which hinder the common adoption of microfluidic technology.14–16 Nonetheless, there are readily available micro-objects in many research laboratories, such as microbore tubing, which are naturally microfluidic channels. Enlightened by this fact, we developed a toolkit that can turn microbore tubing into microfluidic devices. The core concept is that the flexible tubing can be twined, interconnected, and organized as desired via reusable adapters to form functional microfluidic units. Due to the low cost of the tubing (∼0.5 USD/ft), the used segments can be disposed of while the adapters are recycled for future device assembly.

It is not practical to include all possible adapters of such a toolkit in one work. Therefore, we mainly show three subsets of the toolkit that were essential to building fundamental and functional microfluidics. The first subset included tubing and scoring tools. As demonstrated in Fig. 1(a), Tygon tubing of 0.5 mm i.d. and 1.5 mm o.d. was used in this research due to availability, but tubing of other dimensions is commercially available. The ends of the tubing segments must be scored flat (rather than tapered) to minimize dead volume issues when connected to other components (adapters or tubing). Therefore, we created a scoring guider [Fig. 1(a)b] with holes of 1.6 mm diameter (slightly larger than the tubing), where a piece of tubing could be inserted through and a sharp blade applied along the surface for a flat cut (Fig. S1 in the supplementary material). The second subset contained various adapters for flow manipulations including joining/splitting, mixing, and adaption to detectors [Figs. 1(b)1(d)]. We also designed a set of cell culture modules [Figs. 1(e)1(g)] for organs-on-a-chip applications. In the subsequent sections, design and validation details of the subsets are thoroughly discussed. Moreover, we demonstrate an application using these adapters—an integrative microfluidic device enabling 3D cell culture and near real-time quantitation.

The subset of flow adapters

This subset was designed to achieve fundamental liquid manipulations commonly used in microfluidics. There were three adapters in the subset: a T-shaped flow joiner, a serpentine creator, and a U-shaped optical detector. As shown in Fig. 2(a), the T-shaped flow joiner had three ports to split or join flows. The flexible tubing could be inserted into the ports directly. However, for easy and leakage-free tubing integration, the dimension of the ports must be optimized. We determined the optimal diameter of the connection ports to be 1.4 mm, slightly smaller than the diameter of the tubing (1.5 mm). With this size, the flexible tubing could be easily crumpled in, which then expanded to seal tightly. Port sizes between 1.3 and 1.4 mm could still be used, but more efforts were needed to squeeze the tubing in. Sizes larger than 1.4 mm could lead to lateral leakage between the tubing and the port wall. With the tight sealing and the flat scoring of the tubing segments, the classic laminar flow could be observed [Fig. 2(b)] without leakage or dead volume issues at the connection sites. We tested flow rates up to 1000 μl/min and did not observe fluid leakage from the connection ports.

FIG. 2.

FIG. 2.

Details and characterization of the T-shaped flow joiner and the serpentine creator. (a) The T-shaped flow joiner with connection ports of 1.4 mm diameter, where scored tubing could be directly crumpled in. (b) In an assembled T-shaped flow joiner, the classic laminar flow could be observed. Arrows show flow directions. (c) The creator that allowed the tubing to be twined to form a serpentine. (d) The laminar flows of red and green streams (the rightmost path) were completely mixed after the last (leftmost) path in the serpentine. Flow rate = 6 μl/min. (e) The correlation between the number of paths of the serpentine and the mixing efficiency. After five paths, a 100% mixing was achieved; N = 5, error = stdev. Scale bars = 1 mm.

Figure 2(c) shows the creator that allowed the tubing to be configured into a serpentine. Such units are usually needed on microfluidic devices to enhance liquid mixing by repeatedly shifting the flow directions.20 We tested the mixing efficiency of the serpentine by pumping in two streams of food color solutions. As visualized in Fig. 2(d), after five paths, the red and green streams were well mixed. Further quantitation revealed the correlation between the number of paths and the mixing efficiency [Fig. 2(e)].

The third flow adapter in this subset was an optical detector. As demonstrated in Fig. 3(a), the adapter possessed a U-shaped groove for a piece of tubing to be fixed in. To ensure tight tubing lockage, only 1/4 area along the side of the grooves (1.5 mm diameter) was open [cross view in Fig. 3(b)], making the immobilized tubing unable to autonomously move or detach. Figure 3(c) depicts the assembled device with two optical fibers placed in the side ports across the bottom part of the tubing, so that molecules of interest in the flow could be continuously monitored by absorbance detection. The dimensions of the side ports and the horizontal part of the groove were carefully designed using CAD for precise alignments. Because 1 cm is the commonly used light path (e.g., a standard cuvette) in absorbance spectroscopy, the horizontal part of the U-shaped groove was designed to be 1 cm. Transparency is a key factor to be considered when developing an optical detector. Therefore, we measured the transparency of the tubing detector, finding that in the visible range (400–800 nm), the transmittance was higher than 85% as shown in Fig. 3(d).

FIG. 3.

FIG. 3.

The adapter for optical detection. (a) The adapter with a U-shaped groove where a piece of tubing could be placed. There were two horizontal holes on the sides (arrows) to house optical fibers. Scale bar = 1 cm. (b) The top view of the adapter shows that only 1/4 of the side of the groove was open, so that the immobilized tubing would not detach or move. (c) The assembled detector. The optical fibers and the horizontal part of tubing were well aligned by carefully designing the dimensions of the housing holes and the groove. Scale bar = 1 cm. (d) Characterization of the transparency of the detector. In the visible range, the transmittance was over 85%.

Instead of etching/replicating microfluidic channels in polymers using extensive facilities, these adapters in the toolkit could dexterously connect and/or configure readily available microtubing to produce desired microfluidic units. Common flow manipulators including a splitter/joiner, a mixer, and dynamic detectors could be robustly assembled in a plug-and-play manner. The serpentine and optical detectors were jigs for configuring the tubing path without contacting the flowing contents. Therefore, these parts were immediately reusable. We also reused the T-shaped flow joiner after bleaching and rinsing them by ultrasonication without seeing contamination.

The 3D cell culture modules

Due to the increasing interest in integrating cells on microfluidics for organs-on-a-chip modeling,21 we developed a modular chamber for 3D cell cultures in the toolkit. As shown in Fig. 4(a), this chamber was assembled by three modules: a holder, an insert, and a lid. The insert was the module where cells were cultured. Following a previous protocol,17 the inserts were prepared by electrospinning a layer of microfibers on a polystyrene (PS) sheet followed by being laser cut to an obround shape fitting the holder. Electrospun fibers have been extensively applied as an extracellular matrix (ECM) mimic for 3D cell cultures in vitro.22 In this work, polycaprolactone (PCL), a commonly used biocompatible polymer,23 was electrospun to generate a microfibrous and porous scaffold [Fig. 4(b)]. The PS layer was used as a support structure for the flimsy microfibers to avoid flow-induced compromising. For laboratories that do not have access to high voltage supplies (for electrospinning), as reported by us previously,24 a technology called solution blow spinning can be used to generate the microfibers, which only requires a gas flow (e.g., N2 at 1–10 psi) to form the fibers. Although inserts were precisely produced by laser-cutting to fit the flow chamber, they can also be hand cut. The shape of the inserts can be simply printed on a piece of paper, which will then be stacked on the microfiber layer. By tracing the printed edges using scissors, the fibrous inserts can be obtained. We did a test comparing laser cut and hand cut inserts, finding both could fit well in the chamber device, although hand cutting took longer (∼1 min for each piece) than the laser (∼30 s for 50 inserts).

FIG. 4.

FIG. 4.

The 3D cell culture modules. (a) The exploded view: a holder was made from a flexible material with an obround pit, where a cell-laden insert with fibrous ECM could be placed; a lid with connected tubing was plugged in the pit to form a closed flow chamber. Scale bar = 2 mm. (b) An SEM view of the electrospun microfibers on the insert. Scale bar = 20 μm. (c) An illustration of the assembled cell chamber. The pit (orange) was 3.5 mm deep and the lid was 3.0 mm high. With the inserts (200 μm PS support  + 50 μm fibrous scaffold), a flow space of 250 μm above the fibers was formed. Arrows show the flow directions. (d) CFD simulation demonstrated that the flow rate in the chamber was uniform (6 μl/min was the simulation condition).

The holder was fabricated from a flexible material with a concave obround pit [5.0 mm wide, 15.0 mm long, 3.5 mm deep, Fig. 4(a)] in the middle, where a cell-laden insert could be placed. After the lid (3.0 mm high) was plugged in the pit of the holder, a closed chamber of 500 μm deep was generated for flow-based cell studies. Within the chamber, a flow space of 250 μm was formed between the top of the insert [200 μm of PS + 50 μm of the fibers; Fig. 4(c)] and the bottom of the lid. Simulation by computational fluid dynamics (CFD) predicted that the flow rate was uniform within this flow space [Fig. 4(d)].

Common cell chips are fully integrated, with the cells and all other functional zones incorporated in one piece. If any part fails (e.g., cell contamination), the whole device must be discarded. The cell chamber modules we designed, however, circumvented this issue by enabling quality checking of each module before the assembly. For instance, an insert with a failed cell culture could just be replaced with a new one without sacrificing the whole setup. Also, the modularity allowed for flexible integration of desired ECM materials. In our case, microfibers electrospun from PCL were utilized. Furthermore, the assembled cell chamber could be connected to other microfluidic units such as detectors via the tubing for quantitative research.

Assembling a microfluidic device for near real-time cell analyses

We validated the versatility of the toolkit by assembling a microfluidic device to quantify the inflammatory response of macrophages. Inflammation is a critical process initiated by macrophages in response to pathogens and/or damaged tissues and thus has become a common target for therapeutics.25 Nevertheless, the detailed kinetics of the inflammatory response have remained unknown likely due to the lack of a proper analytical tool, despite this information being critical for finely tuning inflammations. Therefore, we applied the assembled microfluidic device to fill this knowledge gap. Inflammatory macrophages release various biomarkers, among which nitric oxide (NO) is commonly studied.26 This radical molecule converts to nitrite at a 1:1 stoichiometry rapidly (t1/2 < 2 s), which can be easily assayed by the Griess reagent via the production of a pink azoic product.27

Figure 5(a) outlines the workflow: phenol red-free media was pumped through the cell chamber containing macrophages; the produced nitrite was brought out to the T-shaped flow joiner where the Griess reagent joined. The two solutions were further mixed via the serpentine creator to enhance the reaction and then delivered to the optical detector for near real-time measurements. Before adding the cells, we first characterized the analytical merits of the device. Nitrite standards prepared in the media were pumped through, and the absorbance was detected every 20 s. Figure 5(b) clearly shows that with increased nitrite concentrations, step increased absorbance signals were obtained. After averaging the signal intensities on each plateau and plotting them vs the nitrite concentrations, a linear calibration curve was generated with an R2 value of 0.99 and an LOD of 0.37 μM. Sub-μM is the theoretical lowest LOD of UV–Vis spectroscopy.28 The accuracy of the system was also analyzed by comparing known concentrations to measured concentrations, and the results in Table S1 (supplementary material) showed that the system was accurate. Therefore, these data suggested that our device was robust enough for the absorbance-based nitrite quantitation.

The RAW264.7 macrophage cell line, which has previously shown great success in in vitro macrophage modeling for simulating cytokine releases and inflammatory responses,18 was used in this study. As shown in Fig. 5(c), RAW 264.7 macrophages (arrow) could grow and fuse to form giant cells on the electrospun fibers like in vivo.29 After the macrophage-laden insert was included in the device, we flowed media with or without lipopolysaccharides (LPS, an inflammation inducer30) through the cells, followed by automated spectroscopic detection on the detector module at intervals of 20 s. As Fig. 5(d) demonstrates, the cells treated with LPS started to release significant amounts of NO at 30 min and kept secreting until a plateau of 2.8 ± 0.1 nM/cell at 3 h. The unstimulated cells, however, released minimal NO during the experiments. These results were consistent with a previous study showing that macrophages in fibrous scaffolds could be stimulated to the inflammatory state by LPS within 2–4 h.17 Nonetheless, we added new knowledge here by revealing the kinetic pattern of the stimulation process in high temporal resolution (20 s).

This cell study that included 3D cell culture, flow-based stimulation, and downstream near real-time measurements clearly demonstrated the usefulness and versatility of the toolkit to make functional and integrative microfluidic devices. Also, with the simple but robust tubing connection ports, we did not observe any flow issues such as leakage, blockage, and dead volumes, which allowed us to set the spectrometer and collect data without a researcher present. The simplicity and robustness of the toolkit made it possible to develop automated microfluidic analytical systems. Moreover, all the adapters and modules were reused after thorough cleaning and sterilization, and it took <5 min to reassemble the setup with new tubing segments, which significantly reduced both monetary and time costs as compared to current microfluidic fabrication techniques.

Although we prototyped these adapters using a high-end 3D-printer, these reusable parts cost minimal materials (<5 g each). We have also included the engineering details of the adapters in Figs S2 and S3 in the supplementary material. With the wide availability of online 3D-printing services (user sending designs to a manufacturer and having the printed parts mailed back; also known as cloud manufacturing),28 this technology can broadly benefit research that needs or could be enhanced by microfluidics.

CONCLUSION

We presented a new and broadly applicable toolkit for assembly of microfluidic devices without fabricating microchannels. Instead, microbore tubing, which could be twined, interconnected, and organized via the adapters for producing functional microfluidic units, was utilized as the microchannels. The low-cost tubing segments could be disposed of after usage while the adapters were reused. The robust and simple interface between the tubing and the adapters maintained consistency and interchangeability of the modules and allowed for quick assembly of devices with desired units. We demonstrated a microfluidic device assembled within 5 min, which enabled fluids joining/mixing, 3D cell culture, and near real-time detection. There are only few currently known technologies that were developed by taking advantage of the simplicity, low cost, and availability of a microbore tubing, such as the work of Trivedi et al.31 as well as that of Tingjie et al.32 However, our work herein comes as added knowledge and value to the microbore technology because it introduces its application together with 3D-printed adapters for fast and customizable prototyping and low facility requirements. Most importantly, here, we expanded the application of the microbore technology to the fabrication of a robust biomicrofluidic quantitation system. Widespread adoption of this technology will broadly enhance advances in the related fields.

SUPPLEMENTARY MATERIAL

See the supplementary material for the engineering sketches of the 3D-printed parts, data characterizing the mixing efficiency of the serpentine device, and the accuracy of the optical detector.

ACKNOWLEDGMENTS

We wish to acknowledge the support of NIH CBI Grant No. T32 GM066706.

DATA AVAILABILITY

All the data discussed in the manuscript are available within the article and its supplementary material. Original data are available from the corresponding author upon reasonable request.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

See the supplementary material for the engineering sketches of the 3D-printed parts, data characterizing the mixing efficiency of the serpentine device, and the accuracy of the optical detector.

Data Availability Statement

All the data discussed in the manuscript are available within the article and its supplementary material. Original data are available from the corresponding author upon reasonable request.


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