Erik
Jue
a,
Nathan G.
Schoepp
b,
Daan
Witters
b and
Rustem F.
Ismagilov
*ab
aDivision of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Blvd., Pasadena, CA, USA. E-mail: rustem.admin@caltech.edu
bDivision of Chemistry and Chemical Engineering, California Institute of Technology, 1200 E. California Blvd., Pasadena, CA, USA
First published on 28th April 2016
This paper evaluates the potential of 3D printing, a semi-automated additive prototyping technology, as a means to design and prototype a sample-to-device interface, amenable to diagnostics in limited-resource settings, where speed, accuracy and user-friendly design are critical components. As a test case, we built and validated an interlock meter-mix device for accurately metering and lysing human urine samples for use in downstream nucleic acid amplification. Two plungers and a multivalve generated and controlled fluid flow through the device and demonstrate the utility of 3D printing to create leak-free seals. Device operation consists of three simple steps that must be performed sequentially, eliminating manual pipetting and vortexing to provide rapid (5 to 10 s) and accurate metering and mixing. Bretherton's prediction was applied, using the bond number to guide a design that prevents potentially biohazardous samples from leaking from the device. We employed multi-material 3D printing technology, which allows composites with rigid and elastomeric properties to be printed as a single part. To validate the meter-mix device with a clinically relevant sample, we used urine spiked with inactivated Chlamydia trachomatis and Neisseria gonorrhoeae. A downstream nucleic acid amplification by quantitative PCR (qPCR) confirmed there was no statistically significant difference between samples metered and mixed using the standard protocol and those prepared with the meter-mix device, showing the 3D-printed device could accurately meter, mix and dispense a human urine sample without loss of nucleic acids. Although there are some limitations to 3D printing capabilities (e.g. dimension limitations related to support material used in the printing process), the advantages of customizability, modularity and rapid prototyping illustrate the utility of 3D printing for developing sample-to-device interfaces for diagnostics.
The sample-to-device interface for diagnostics is a critical component of nucleic acid amplification testing (NAAT) in LRS, and remains an unsolved challenge.5,6 Many NAAT technologies are not amenable to LRS, because NAAT is an intrinsically multistep process involving sample metering, lysis, nucleic acid (NA) purification, amplification, and detection.7 To be useful in clinical practice in POC or LRS, the entire NAAT workflow should be fully automated, user-friendly (without training or pipetting steps to meet CLIA-waiver), rapid, equipment-free, sensitive, and specific. To equip a portable device with complete sample-in to answer-out functionality requires the appropriate consideration of all upstream and downstream processes. While many efforts have been taken to automate nucleic acid (NA) purification and amplification, sample metering must always be addressed because a user in LRS or at the POC cannot be asked to pipette accurately. Furthermore, combining sample transfer with the step in which the sample is mixed with the lysis buffer is attractive, because it has the advantage of minimizing the cost and complexity of an integrated diagnostic device, and could benefit such devices being developed in research labs, including our own.8–11 Precise metering is especially critical in NAAT testing of sexually transmitted diseases (STDs), such as Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG).12 In 2013, there were 1401906 and 333004 reported cases of CT and NG, respectively, in the United States, with many more cases unreported and undiagnosed.13 The Centers for Disease Control and Prevention (CDC) estimates 20 million new STD infections per year in the US, accounting for $16 billion in health care costs.13 The CDC now recommends NAAT for CT/NG diagnosis14 because these tests are sensitive, accurate and use non-invasive urine samples. Many of these tests need to be done under LRS or POC settings.
Currently, there is no standardized way to deliver a known amount of sample mixed with lysis buffer to an LRS- or POC-compatible NAAT diagnostic device. A method for doing so is subject to the following constraints: (i) meter a precise volume of urine with <5% coefficient of variation (CV), (ii) mix urine with premeasured, preloaded lysis buffer at a specific ratio (as determined by the extraction chemistry), (iii) transfer the lysed urine without dripping potentially infectious solution, (iv) perform these operations quickly, in a user-friendly, equipment-free manner that minimizes potential user errors, and (v) maintain the sensitivity and specificity of the overall assay (no loss of nucleic acids to 3D printed surfaces, contamination, or leachates).
Here, we evaluate the capabilities of multi-material 3D printing to design and prototype a single-use disposable macrofluidic device that meets the above constraints. We also discuss the advantages and disadvantages of 3D printing as a research tool for device development. Multi-material printing, wherein different materials are combined into a single printed part, offer expanded capabilities, so we chose to specifically investigate multi-material 3D printing as a tool for building sample-to-device interfaces. We have previously demonstrated the utility of multi-material printing in the development of a pumping lid for interfacing with microfluidic devices,15 however the pumping lid we developed was only used to compress air, and did not contact fluids directly. Here, we expand on the ability to use multi-material printed parts to generate sealed fluid cavities through the development of a multivalve and plungers used within our device.
The meter-mix device is composed of eight assembled parts: 1. main enclosure, 2. lysis buffer plunger, 3. urine plunger, 4. two plunger stoppers, 5. multivalve, 6. urine suction tube, 7. static mixer elements, and 8. static mixer case (Fig. 2). All parts were designed using 3D CAD software (Solidworks 2015 Education Edition) and fabricated using an Objet 260 multi-material 3D printer (Stratasys, Eden Prairie, MN, USA). We judiciously selected two semi-transparent photopolymer materials, Veroclear and TangoPlus, corresponding to a rigid plastic, analogous to poly(methyl methacrylate) (PMMA), and a soft, elastomeric material, analogous to rubber, respectively. By utilizing translucent materials, fluids are visible as they are transported among chambers of the device, providing visual feedback during operation. All of the parts were composed of Veroclear, providing a strong structure. The plunger heads, stoppers, and the multivalve were printed with a combination of Veroclear and TangoPlus, which enabled us to design sliding surfaces and generate seals. With the exception of the plunger stoppers, each part underwent between seven and 25 unique design iterations. In the Fig. 2 demonstration, which shows the entire device assembly and operation, 1150 μL 0.05% (v/v) sky blue Ateco dye (August Thomson Corp., Glencove, NY, USA) was preloaded into the lysis buffer chamber and 0.1% lemon yellow Ateco dye was manually loaded into the urine chamber. These two dye solutions were run through the device and combined to form a green mixed solution (Fig. 2D).
With diagnostic devices, it is important to minimize dead volumes to avoid wasting reagents, losing sample, or introducing a source of variability. One strength of 3D printing is that potential sources of dead volume can be identified and reduced during the design process. For the meter-mix device, we identified four potential sources of dead-volume: urine lost in the suction tube, urine lost in the urine chamber, lysis buffer lost in the lysis buffer chamber, and mixed solution remaining in the static mixer. We recognize that patient urine is abundant, and that it is acceptable for the meter-mix device to overfill urine; however, the final volume of urine ejected from the device must be consistent between runs. To ensure accurate, consistent ejected volumes, the dead-volume of the urine suction tube was taken into account while modifying the positions of the plunger stoppers. It should be noted that dead-volume can be reduced by changing the design of the suction tube as required. For our meter-mix device, we were concerned with dead volumes of urine remaining in the urine chamber and the static mixer, which could contribute to differences in the volumes of urine ejected between runs. In particular, a user who sees liquids trapped in the static mixer may be inclined to shake the meter-mix device, introducing error which affects the accuracy of downstream quantitative processes. To remove this dead volume, we leave a pocket of air that sits above the lysis buffer within the lysis buffer chamber. After urine is aspirated into the device, we designed the system so that the heights of the pockets of air are roughly equal (the air initially residing in the suction tube is incorporated into the device during the aspiration step). These two pockets of air produce a blow-out volume of air which removes the dead volumes of urine and lysis buffer that would otherwise remain in the chambers and static mixers.
We wanted to ensure that after urine is aspirated into the urine chamber, urine is unable to leak out through the tip of the urine suction tube. Bretherton previously examined this problem, and found the dimensionless bond number, Bo (which relates gravity to surface tension), to be a guiding parameter.17 The bond number is related to the density difference between the liquid and air, the diameter of the tube, and the surface tension of the liquid. He predicted that for a vertical tube that is sealed at one end, a bubble contained within will not rise if Bo < 0.842.17 Thus, in our meter-mix device, if the bond number is low, and a bubble enters the urine suction tube, the bubble will be immobile, preventing solution from dripping out through the tip of the urine suction tube. Bretherton's prediction suggests that we want to minimize the bond number, which we can do simply by reducing the diameter of the 3D-printed urine suction tube. We would not, however, want to make the diameter so small that it generates a high resistance to flow, as this would generate a noticeable delay in the filling time and negatively affect the user experience. Tube diameter is constrained with our 3D printing methods because as tube diameter decreases, it becomes increasingly difficult to remove the support material and clean inside the tube. For our device, we limited our testing to >1.5 mm diameter sized suction tubes. At the millimeter scale, there was no noticeable delay between pulling up on the urine plunger and filling of the urine chamber.
We tested the Bretherton prediction using 3D-printed parts. A simple plunger system was designed along with suction tubes of varying diameters. In multi-material 3D printing, the printing of support material can be avoided for some geometries and configurations. We printed straight suctions tubes in the vertical configuration, which does not print support within the suction tube and therefore does not require support cleaning. Although we can choose not to print some support pieces, one limitation of our multi-material printer is that it always prints support material for the bottom layer in contact with the 3D printer's build plate. When one side of the model is printed in contact with support and the other parts of the model are located on the exterior sides of the device, there may be minor differences between dimensions and surface roughness. For example, we found that when printing straight tubes upright, the diameter on the side of the tube in contact with the 3D printer's build plate was slightly smaller than the opposite opening. A discrepancy between parts of the model in contact with the build plate and parts that are open to the air is not an exclusively multi-material 3D printing characteristic, but is common to many types of 3D printers. Care was taken to always use the side of the tube in contact with the build plate for the connection to the body of the plunger system.
To test the Bretherton prediction, we used the opposite side of the suction tube to aspirate solution into the tube. The suction tube was manually disturbed through tapping the tip in order to introduce bubbles, mimicking a real-world user experience where the user bumps the device. We found that there was general agreement between bond number and the Bretherton prediction (Table 1). Using water, for a bond number ≤ 0.416, no bubbles entered the device and no fluid dripped from the tip. For bond numbers between 0.544 and 0.688, a bubble entered the tube releasing some drops, but the bubble did not rise and the liquid–air interface at the tip regained stability. Close to the Bretherton prediction at Bo = 0.850, bubbles entered the tube and both rise and no rise of the bubble were observed, which seemed to depend on the size of the bubble incorporated. Finally, for a large bond number (1.028), drops were released when the bubble initially entered the tube, the liquid–air interface at the tip regained stability, and we saw bubble rise as predicted by Bretherton. The experiment was repeated using ethanol, which has a lower surface tension than water, with similar results. We also observed that for very large bond numbers (Bo ≥ 2.155), once the ethanol–air interface at the tip was disturbed, a column of air entered the suction tube, spilling all of the solution out of the tip. Accounting for Bretherton's prediction, the limitations of cleaning support material, and for the pocket of air for blow-out, we selected a suction tube diameter of 2.3 mm in the final design. The surface tension of urine from healthy patients ranges from 48–70 mN m−1.18 Using the low value of surface tension at 48 mN m−1, a density of 1.01, and a 2.3 mm diameter gives a Bo = 0.272.
Fluid | Diameter (mm) | Bo | Observed behavior |
---|---|---|---|
Water | 2 | 0.136 | No drip |
2.5 | 0.212 | No drip | |
3 | 0.306 | No drip | |
3.5 | 0.416 | No drip | |
4 | 0.544 | Bubble sticks | |
4.5 | 0.688 | Bubble sticks | |
5 | 0.850 | Bubble sticks/bubble rises | |
5.5 | 1.028 | Bubbles rises | |
Ethanol | 2 | 0.345 | Bubble sticks |
2.5 | 0.539 | Bubble sticks | |
3 | 0.776 | Bubble sticks/bubble rises | |
3.5 | 1.056 | Bubble rises | |
4 | 1.379 | Bubble rises | |
4.5 | 1.746 | Bubble rises | |
5 | 2.155 | Liquid spills as air column rises | |
5.5 | 2.608 | Liquid spills as air column rises |
We evaluated the dispensing accuracy of our device using water, green dye, spectrophometer measurements, and a balance. To examine inter-device variability, we tested three different device prototypes each run in triplicate (Table 2). There was no significant difference among devices for aspiration volume (P = 0.46) or the volume expelled (P = 0.44). Sample aspiration was found to accurately meter ∼790 μL (<1% CV). As previously described, the blow-out volume of air is responsible for ejecting the final volumes of urine and lysis buffer remaining in the chambers and the static mixer. We found that pushing the plunger down over the course of 1–2 s led to relatively little error in the final ejection volume (<2% CV). However, pushing the plunger down faster (in <1 s) pushed bubbles through the static mixer and greater volumes of liquid remained in the device, resulting in reduced ejection volumes (∼1350 μL). In real-world applications, it is important to minimize differences resulting from user operation. Future designs can address the issue of plunger speed affecting dead volume by reducing the diameter of the outlets to prevent bubbles from escaping before the fluid. The ratio of solution ejected from the lysis buffer chamber and the urine chamber was calculated by measuring the absorbance of the final ejected solution and comparing it to the green dye loaded into the lysis buffer chamber. We found that dispensed volumes out of the lysis buffer chamber and urine chamber were similar, with percent deviations of 2.5% and 6.7%.
Device | Trial | Aspiration volume (μL) | Ejection volume (μL) | Calc. volume from lysis chamber (μL) | Calc. volume from urine chamber (μL) |
---|---|---|---|---|---|
1 | 1 | 782 | 1591 | 1067 | 524 |
2 | 784 | 1613 | 1121 | 492 | |
3 | 798 | 1660 | 1135 | 525 | |
2 | 1 | 796 | 1619 | 1150 | 469 |
2 | 799 | 1630 | 1065 | 565 | |
3 | 791 | 1577 | 1120 | 457 | |
3 | 1 | 788 | 1611 | 1134 | 477 |
2 | 787 | 1586 | 1106 | 480 | |
3 | 799 | 1572 | 1099 | 473 | |
AVG | 792 | 1607 | 1111 | 496 | |
STD | 6 | 27 | 28 | 33 | |
CV | 0.8% | 1.7% | 2.5% | 6.7% |
When static mixer elements were printed with the glossy finish setting, only the topmost element was glossy and had different surface roughness and dimensions than the other elements (remaining parts had the matte finish because they were printed in contact with supporting material). To address this issue, we printed the static mixer elements with the matte finish (Fig. 3A). The static mixer elements and the static mixer case were cleaned separately and assembled carefully because the static mixer elements were very prone to breaking (Fig. 3B–D).
To evaluate mixing quality, a starch iodine–thiosulfate decolorization was used. The decolorization reaction is a preferred method to evaluate mixing because any pockets of unmixed regions will be visible.22 The initial decolorization reaction occurs quickly in a 1:1 iodine:thiosulfate ratio, although a secondary reaction leads to the reappearance of color so higher ratios of iodine:thiosulfate (e.g. 1:1.2 or 1:1.4) can be used.23–25 For the meter-mix device, we used a 1:1.05 ratio because the design enables rapid mixing within the timescale of the device operation. The starch iodine solution was loaded into the urine chamber through the suction tube, and the sodium thiosulfate was preloaded into the lysis buffer chamber. The device mixed the two solutions within the first three to four elements (Fig. 3G). As a control, to confirm that the loss of color is due to mixing and not an artifact of the chemical or optical properties of the 3D printed part, we also show the static mixer element fully filled and while mixing with a solution that does not cause decolorization. We ran the meter-mix device with starch iodine indicator loaded into both chambers (Fig. 3E) and in a separate experiment with starch iodine loaded into the urine chamber and water loaded into the lysis buffer chamber (Fig. 3F).
The 3D-printed device was designed to optimize the user's experience: operation is simple (three steps); interlock features protect against user error; neither pipetting nor vortexing are required; and the entire device operation is completed within 5 to 10 s (see ESI† video). We validated our device by lysing urine samples spiked with CT/NG and performed downstream processes to quantify nucleic acids through qPCR. These results confirmed that the 3D-printing materials (Veroclear and TangoPlus) were biocompatible; we observed no loss of nucleic acids and devices performed equally well compared with the standard protocol of pipettor metering and vortex mixing in a polypropylene tube. Finally, we demonstrated that the performance of the meter-mix device matched the performance of standard laboratory protocols for metering and mixing, with a substantially shorter time period for device operation.
The meter-mix device described here is not limited to mixing urine with lysis buffer. A common operation in biology, chemistry, and medicine is to mix two solutions of known volume. Due to the customizability of 3D printing and CAD design, it is easy to adapt the meter-mix device to different volumes or configurations. In some applications, it may be desirable to meter two different solutions at the time of use. In this example, the meter-mix device could be reconfigured with an additional suction tube appended to the lysis buffer chamber. Given the versatility of the meter-mix device, it may be useful in a variety of applications such as sequencing, dilutions, or chemical syntheses. Because the meter-mix device simplifies and accelerates workflow, protects against user error and provides a user-friendly experience, we foresee its future application in research labs and limited-resource settings. For example, time-sensitive laboratory measurements may require metering and mixing on the timescale of single digit seconds rather than the tens of seconds required for pipetting. In commercial applications, an important advantage of a single-use disposable device is that it can be assembled and pre-loaded with lysis buffer before it is shipped, eliminating a pipetting step for the end user.
Throughout the course of device development, the 3D printing workflow was a major advantage over analogous forms of prototyping, such as soft lithography. Prototyping with 3D printing was rapid, enabling us to design, test, redesign, and reprint a prototype in the period of a single day. For small parts that can be printed in less than a few hours, it is possible to iterate multiple designs in a single day. The ease with which parts can be modified after having developed the initial design allowed us to print multiple variations of the meter-mix device at once and determine the optimal architecture of each part in a single experiment. This was useful for determining the diameter of the suction tube, setting the parameters for the static mixer, and adjusting the fit for the seals. Another advantage with 3D printing is that the 3D CAD models which are developed during the design stage can also be utilized and adapted for injection molding. This is important in commercial applications, where large quantities are required, because injection molding has higher start-up costs but lower costs per part than 3D printing. We also found modularity to be an important advantage with 3D printing. Parts can be built as separate components and later reassembled, reducing build time (which relies heavily on z-axis height). It is also easier, and less expensive, to validate and iterate with individual components than to redesign and reprint an entire device. Of course, the final cost of producing these devices using standard manufacturing methods (injection molding) will be even lower than prototyping costs.
The greatest limitation we faced with multi-material 3D printing pertained to the support material. We faced three specific issues: (i) wherever support material is printed in contact with the model, the printer produces a matte finish with different surface characteristics and dimensions compared with the glossy finish of parts that do not contact the support material, (ii) it can be difficult to remove the support material for some geometries, so care needs to be taken during the design to account for cleaning, and (iii) removal of the support material takes time, requiring ∼45 min to clean all of the components for a single device. As new support material is developed, this limitation will diminish. For example, some companies have developed new dissolvable support materials that can be removed in a soak-and-rinse process; however, these processes are still diffusion-limited and may be difficult to implement when cleaning long, narrow channels relevant to microfluidic devices. Despite some limitations, we conclude that 3D printing is an attractive prototyping technology with great potential for solving the sample-to-device interface problem in diagnostics, especially in resource-limited settings.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c6lc00292g |
This journal is © The Royal Society of Chemistry 2016 |