In-situ time resolved spectrographic measurement using an additively manufactured metallic micro-fluidic analysis platform
Authors:
T. W. Monaghan aff001; M. J. Harding aff002; S. D. R. Christie aff003; R. J. Friel aff004
Authors place of work:
Ministry of Defence Abbey Wood, Bristol, United Kingdom
aff001; School of Chemical and Bioprocess Engineering, University College Dublin, Dublin, Ireland
aff002; Department of Chemistry, Loughborough University, Loughborough, United Kingdom
aff003; School of Information Technology, Halmstad University, Halmstad, Sweden
aff004
Published in the journal:
PLoS ONE 14(11)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0224492
Summary
Introduction
Microfluidic reactionware allows small volumes of reagents to be utilized for highly controlled flow chemistry applications. By integrating these microreactors with onboard analytical systems, the devices change from passive ones to active ones, increasing their functionality and usefulness. A pressing application for these active microreactors is the monitoring of reaction progress and intermediaries with respect to time, shedding light on important information about these real-time synthetic processes.
Objective
In this multi-disciplinary study the objective was to utilise advanced digital fabrication to research metallic, active microreactors with integrated fibre optics for reaction progress monitoring of solvent based liquids, incompatible with previously researched polymer devices, in combination with on-board Ultraviolet-visible spectroscopy for real-time reaction monitoring.
Method
A solid-state, metal-based additive manufactured system (Ultrasonic Additive Manufacturing) combined with focussed ion beam milling, that permitted the accurate embedment of delicate sensory elements directly at the point of need within aluminium layers, was researched as a method to create active, metallic, flow reactors with on-board sensing. This outcome was then used to characterise and correctly identify concentrations of UV-active water-soluble B-vitamin nicotinamide and fluorescein. A dilution series was formed from 0.01–1.75 mM; which was pumped through the research device and monitored using UV-vis spectroscopy.
Results
The results uniquely showed the in-situ ion milling of ultrasonically embedded optical fibres resulted in a metallic microfluidic reaction and monitoring device capable of measuring solvent solutions from 18 μM to 18 mM of nicotinamide and fluorescein, in real time. This level of accuracy highlights that the researched device and methods are capable of real-time spectrographic analysis of a range of chemical reactions outside of those possible with polymer devices.
Keywords:
Optical equipment – Light – Optical materials – Fluorescence – Microfluidics – Fiber optics – Ultraviolet-visible spectroscopy – Fluidics
Introduction
Microfluidics are a technology area that has been applied to specific topics such as: inducing chemical and physical reactions; presenting material samples in a time dependent fashion; performing on device analysis through Lab-on-Chip methods; creating a high sample throughput and continuous replenishment and achieving low sample volumes for high accuracy detection [1,2].
A clear improvement in the capabilities of microfluidics has been directly related to improved production techniques. One of the most significant improvements is the capability to move from very rigid fluidic pathway geometries to much more freeform designs driven by the arrival and development of digital manufacturing techniques, such as Additive Manufacturing (AM) (also known as 3D Printing). Using these advancing technologies, it is possible to forego the rigid multi-stage manufacturing processes required in techniques currently employed and instead produce complex 3D structures in a single stage with minimal user intervention.
This has allowed for expedited development and customization of devices to meet specific needs, reactions, geometries and sample types. Complex mixing, multiple reagent inlets at any location and the ability to integrate with existing hardware are just some of the potential possibilities [3–5]. This unparalleled 3D capacity could allow for true flow synthesis as a result of the potential to facilitate fast fluid flows along with extended residence times. Secondly, adopting an additive manufacturing approach allows the designer/user to perform a more iterative approach to reactor design in which multiple versions of a reactor can be manufactured to dial-in the specific geometries to the specific reaction optimal], with direct feedback coming from the device being redirected back into the design process. This is achieved by forgoing the need to produce a master of replica mould in order to fabricate devices. To date, the AM techniques of material extrusion [5–14], vat polymerization [15–19], material jetting [20–25] and powder-bed fusion [26–29] have been applied to this field. The majority of these already reported devices do however lack one or more of the desired complexity, functionality and resolution and material compatibility required for many modern chemical applications.
In addition to the device geometry and material, in-line and on-line sensing techniques can be used to gain data from substrate usage, product formation, observation of intermediates or the monitoring of reaction parameters such as temperature and pressure on reaction rates [30]. The in-line analysis techniques can avoid issues associated with missing the presence of short lived intermediates which can continue to react (if not quenched appropriately) or decompose, and will therefore not be visible using off-line analysis techniques [31]. It can also be used to overcome issues associated with concentrations and temperature gradients seen in batch reactors, which can reduce the efficacy of vital techniques such as spectroscopic analysis. The majority of common macroscopic chemical analysis systems have achieved miniaturisation due to recent advances in engineering [32,33]. Various detection techniques employed in direct online observation of chemical and physical events include fluorescence [34] and optical absorption spectroscopic methods (ultraviolet-visible and infra-red) [35] and nuclear magnetic resonance (NMR) techniques [36].
The combination of ‘in-line’ measurement, small sample volumes, and continuous monitoring in a more robust microfluidic device would allow for a large range of sample materials and reagents to be investigated in high detail. This investigation could be performed at elevated temperatures and pressures with techniques that are not favourable to standard AM materials and techniques (e.g. high UV, hard and soft X-rays and neutron sources).
One promising technique that has yet to be explored in the manufacture of microfluidic devices is Ultrasonic Additive Manufacturing (UAM), which comes under the AM class of sheet lamination technologies. UAM is a hybrid, bond-then-form sheet lamination technique that combines ultrasonic metal welding (USW) and computer numerical controlled (CNC) machining to create complex metal parts with computer aided design defined shapes and features [37]. The USW process differs substantially from other welding processes in that ultrasonic welding is a solid-state process in which bonding between foils occurs at temperatures < 50% of the melting point of the material to be consolidated [38–40]. Welding between foils occurs autogenously (i.e. they are self-fused, without the addition of solder or the application of an adhesive). An overview of the process is located in Fig 1 for the manufacture of a simple hypothetical flow reactor.
UAM has the potential to form highly robust and complex metallic devices suitable for performing high-temperature and high-pressure chemistry. UAM has the ability to develop multi-material structures including, potentially, catalytic materials such as Copper (Cu) and Iron (Fe) [41–43]; embedded components such as various fibre types [3,44–48] and electronics [49–52]; the hybrid nature (material deposition followed by selective removal) and non-powder based nature of this metal-based AM technique have substantial future implications for the formation of highly complex 3D reactors.
The authors have previously made an advance in creating UAM parts with embedded spectroscopy ability. This paper presents the first in-situ, small separation gap UV-vis spectrographic time resolved scientific study of microfluidic chemical reactions using a metal based AM technique.
Materials and methods
Microfluidic device
To demonstrate the accuracy of the in-situ spectrographic analysis capable of being delivered, a μ-total analytical system (μ-TAS) was manufactured. Due to the advantages afforded by AM in the development of reactor systems, the test device was designed virtually and then manufactured direct from the CAD data. The layout of the device structure was chosen to establish how effective/ineffective the embedded optical fibres were at transmitting and collecting light across an aperture of fixed width (250μm, Fig 1); and is similar to what has been reported in previous publication [53].
The microfluidic device was created using a combination advanced production technologies: Ultrasonic Additive Manufacturing (UAM) to create the fluidic device body and embed the optical fibres; electrochemical etching to form fluidic channels and access the embedded fibres; and Dual Beam Focussed Ion Beam (DBFIB) to cut the measurement space in the embedded optical fibres with in-situ polishing of the optical surfaces. The production specifics for this device are covered in the supplementary material–S1 File.
Previous work by the authors has established the ability to directly embed metal-coated optical fibers within the interlaminar regions of UAM substrates, whilst maintaining full functionality [3]. Additional authored work has also shown that spectroscopic sampling can be achieved with high degrees of success when path lengths of 100–500μm are used [4]. It was also shown that reduced path lengths lead to increased working concentration ranges. Whilst the width of this channel will not directly affect the path length used in later spectroscopy, it is desirable to keep the channel width consistent and within the typical sub-millimetre range; this is to prevent changes in flow rate as a result of increased hydraulic diameter whilst retaining the advantages associated with reduced channel sizes.
Materials
For the microfluidic device body a particularly corrosion resistant Al-Mn alloy was chosen, Al 3003 H18. The reasons for this choice were: high corrosion resistance suits the application to more aggressive sample materials/reagents [54], the behaviour of Al 3003 (H18) under UAM processing conditions is well understood [55,56] and it has been proven to be compatible with the embedment of several types of fibre, including optical fibres [44,47].
The chosen optical fibres integrated into the microfluidic device were aluminium-coated graded-index, multimode optical fibres with a 100-μm silica core. The dimensions and compositions of these fibres are located in Table A in S1 File. The choice of diameter and multimode fibres was empirically determined based on increasing light transmission and correct alignment facilitation.
Validation of embedded optical fibre transmission
After the microfluidic device production the transmission performance of the embedded optical fibres was established through spectroscopic transmission analysis. This was to ensure suitable performance for later spectroscopic measurements in which analyte detection and quantification were investigated.
For qualitative analysis of the effect of DBFIB cross-sectioning the embedded fibres, the embedded optical fibres were connected to a Deuterium-Halogen light source (DH-2000, 215-2500nm, Ocean Optics, Oxford, UK) and an S2000 UV/Vis spectrometer with a USB1000-ADC analogue to digital converter (Ocean Optics, Oxford, UK) via the use of bare fibre adapters (multi-mode SMA connector, Newport Spectra-Physics Ltd, Oxford, UK). A measure of the light transmitted across the newly formed aperture was then recorded at wavelengths of 260 and 494 nm for various time intervals to establish the degree of light transmitted through the fibres. These wavelengths were chosen specifically to relate to later work on in-line analyte detection. The cell was first filled with de-ionised water in order to collimate transmitted light and provide a more accurate representation of the working cell. The spectra produced were then compared to the transmission performance of embedded, non-milled optical fibres to establish any effect of UAM embedding on fibre functionality
It was established that DBFIB milling was a suitable method for precise fibre cross-sectioning whilst retaining full optical properties. An investigation into the spectroscopic performance of UV-Vis flow cells featuring these fibres was performed to establish the upper and lower limits of detection of the cell as well as assessing the potential for this technology in future applications. This separation distance of 250 μm is comparable to path lengths used in previous works regarding on-chip UV-vis detection and provides a compromise between the extended distances usually required for low concentration samples and the short distances required for high concentrations.
Analyte detection and quantification
The validated UAM microfluidic device was used to analyse two different aqueous solutions containing different organic compounds. As with the validation method, the devices optical fibres were connected to a Deuterium-Halogen light source and a UV/Vis spectrometer via the use of bare fibre adapters. A measure of light absorbance across an aqueous solution filled channel was then recorded at 260 and 494 nm (corresponding to the lambda max of the selected compounds) at fixed time intervals to establish the degree of absorbance at set concentrations.
To firstly test the upper working concentration limit of the device, solutions of the UV-active water-soluble B-vitamin nicotinamide (Acros, 99% purity) was chosen. This compound was chosen as it has a relatively low value of molar absorptivity and it is therefore likely that this technology will be applicable to a wide range of organic compounds if successful in these more challenging measurements. Using a value of 2650 LM-1 cm-1 for the molar absorptivity, ε, [NIST Standard Reference Database, No. 69] the appropriate concentration range to test the cells was determined by the Beer-Lambert law (Eq 1) [57].
Aabs = Absorbance (a.u)
Io = Incident light intensity
I = Transmitted light intensity
ε = Molar absorptivity (L mol-1 cm-1)
c = Sample concentration (mol L-1)
L = Path length (cm)
Solutions were prepared from 1 to 30 mM in order to provide a thorough working range (Table 1). The upper detection limit of the cell is of equal importance to the lower detection limit for flow chemistry where maximal throughput is achieved by using as high a working concentration as possible with the constraint of minimising solvent consumption. The higher concentration nicotinamide solutions should therefore identify the linear dynamic range for this system and establish an estimate for the concentrations that could potentially be employed in both reaction monitoring and optimisation.
The acquisition time was then adjusted so that approximately 3000 counts were recorded by the spectrometer at the selected wavelengths. This number of counts is specific to the S2000 UV/Vis spectrometer and ensured that a sufficient intensity of light was recorded by the detector without any saturation occurring at the detector. A total of 10 averaged spectra were used for each measurement and all spectra were recorded with 3 point boxcar averaging. The prepared solutions were then pumped into the device, starting with the lowest concentration, and the absorbance value measured prior to rinsing with water between each solution to ensure minimal carryover.
In regards to analyte detection, it is also desirable to be able to work at the lower end of the concentration range where the emergence of small quantities of side products etc. is likely to appear. Therefore in order to estimate the lowest concentration that could be analysed using these cells, a compound with a high molar attenuation coefficient was utilised to determine the cells limit of detection (LOD). The LOD is commonly defined as the lowest quantity of a substance that can be distinguished from the absence of said substance. The compound chosen for these measurements was fluorescein, a synthetic water-soluble organic compound with a molar attenuation coefficient of 76900 L mol-1 cm-1. A dilution series was then formed from 0.01–1.75 mM and the LOD for each cell determined using Eq 2 [58];
Where;
yi = absorbance value (a.u)
ŷi = ‘fitted’ absorbance value (a.u)
n = number of samples
SB = Standard deviation of a blank sample
The regression intercept was the value for c for the generated y = mx + c equation, when x = 0 as it was based on a univariate calibration.
A dilution series was formed from 0.01–1.50 mM and the LOD for each cell determined using Eq 2 [58]. The exact concentrations used for the dilution series of Fluorescein are located in Table 2.
Results and discussion
Device manufacture
Following methods laid out in previous publications [3], aluminium-coated optical fibers were embedded within the interlaminar region of the selected Al 3003 foils (Fig 2A).
Due to the fragile nature of optical fibres when subjected to methods such as CNC milling, a means of forming fluidic channels around these embedded fibres needed to be established in order for them to be cross-sectioned at a later stage. As a result, electrochemical etching was selected as a test method for producing fluidic pathways around embedded features (Fig 2B). Systematic experimentation in which variables were altered established that the channel formed at 625 mA and 2.5 minutes demonstrated the lowest degree of under etching (ca. 100μm) and was also able to suitably expose the embedded optical fiber (Fig 2C). The degree of under etching was the difference between the etched channel width and the width of the channel in the resist applied to the surface of the UAM substrate and was quantified using the micrograph analysis.
Additional images and results from the full range of parameters tested can be found in the supplementary materials–S1 File.
Through the use of ion beam milling, a method of cross-sectioning embedded optical fibres was developed and found to be highly suitable in the formation of optical configurations applicable to UV- Vis spectroscopy, The fibre was initially cross-sectioned using the ion beam to mill away small rectangular segments, from one side of the fibre to the other (Fig 3A). Due to issues with the resultant highly charged surfaces occasionally causing milled away sections to stick to the remaining bulk material, a small section of the fibre was left intact in order to allow manual removal of this cross-section.
Using the DBFIB coaxial OmniProbe needle to manipulate this cross-section segment, the segment was removed to create a face-to-face aperture of 240 μm (Fig 3B). The faces of these fibres were course and required additional polishing in order to produce both clean flat faces and adjust the separation distance to the desired 250 μm +/- 10 (Fig 3). Using a reduced aperture, these faces were highly polished to yield clean, flat surfaces that are highly desirable for the transmission and receiving of light across a band gap (Fig 3C and 3D). In spectroscopy, this reduces coupling losses increasing detection sensitivity, however the flat parallel surfaces with the fluid fill cavity in between could have induced unexpected variations in transmissivity and reflectivity as a function of the wavelength. It was noted during measurement work by the authors that the acquired absorbance spectra were visually good and attenuation and reinforcement of incident light were expected to be normalized, based on the assumption that the reference spectrum would include similar effects which did not vary from measurement to measurement. Spectral distortion at specific wavelengths were not noted suggesting that Fabry Perot effects were not being encountered during measurement the work. This suggests that any unexpected variations were mitigated and/or not present within the manufactured device.
Concluding this final FIB polishing stage a covering Al 3003 H18 layer was used to seal the etched fluidic pathway. Once embedded, the system was taken forward for spectroscopic testing in regards to the transmission performance of the cross-sectioned fibres.
Embedded optical fibre transmission performance
After device production the transmission performance of the embedded optical elements and aperture combination were tested. This was done by determining the degree of light transmission across a de-ionised water filled channel at various wavelengths and acquisition times. The transmission spectra obtained from the reactor cell with acquisition times from 10 to 100 ms are located in Fig 4. The acquired spectra match the expected line shape for the deuterium light source with the characteristic deuterium emission bands at ~ 500, 600 and 650 nm shown in Fig 4.
This testing revealed that even with short acquisition times high degrees of light transmission were recorded across the aperture by the opposing detector. This high degree of light transmission can allow the user to adjust the system by reducing the acquisition time so that the detector is not saturated at the wavelength of choice, as is seen in the case of the 10ms acquisition. The ability to gather clear spectroscopic data over short acquisition times is ideal for those looking to both monitor reactions online for optimization purposes and those looking to establish the emergence of short-lived intermediaries or side products.
Conclusively, this method has demonstrated that FIB micro-fabrication is highly suited for the development of accurate optical arrays embedded within UAM substrates. The precise site selection, milling control, and high-quality surface finish enable this fabrication technique despite the confines of the fibre within the micro-channel. This technique has the potential to afford direct monitoring via in-situ integration where spectroscopic measurements are focused directly inside the micro-channel [103]–[105]. This direct monitoring approach usually comes with a reduction in portability as a result of large optical set ups. The functionality of these devices for such monitoring applications was established through the manufacture of a UV-vis flow cell combining UAM technology and the electrochemical etching cell-DBFIB methodology, marking the first published work of its kind.
Analyte detection and quantification
Nicotinamide solutions were used to measure the upper working concentration range of organic compounds possessing middling molar attenuation coefficients when using these devices, whilst Fluorescein was used to establish the lower end of detectible concentrations. The calibration curves produced using this compound were then used to estimate the LOD of these cells. Fig 5 displays the machined cell equipped with embedded fibres being mounted for DBFIB milling and the set-up used with the finished cell.
Linear regression analysis for the measured absorbance against known concentration values for the cell was highly linear (R2 > 0.999) across the entire range of solutions (Table 1). This range of concentrations is well suited for online flow chemistry analysis as higher working concentrations facilitate increased throughput. This wide of a range of concentrations is usually not possible when employing a standard commercial UV-Vis flow cell as a result of the significantly larger light transmission path lengths (1-10mm). These larger path lengths result in stronger absorbance measurements than would have been seen in their shorter path lengths for the same concentration. Despite these linear responses, absorbance readings significantly greater than 1 a.u are generally not considered reliable for quantitative measurements. When absorbance is > 1.0 a.u, approximately 90% of the transmitted light is being absorbed by the solution leaving approximately 10% to be collected by the opposing optical fibre. Therefore, even a small error in light detection can cause a large error in the analysis. Due to this, it is usually advisable to work within an intermediate range of absorbance readings of 0.2–1 a.u. As a result, in this cell, the maximum theoretical concentration that could be handled reliably is approximately 18 mM, based on regression analysis with a fixed absorbance of 1 a.u (see Fig 6). The absorbance spectra obtained for the nicotinamide solutions at the various selected concentrations are shown in Fig 7.
Previous work conducted in parts produced using a vat-polymersation technique for devices of similar layout were shown to produce an upper working concentration limit of 15 mM for 200 μm path lengths and 12.5 mM for 300 μm path lengths. The increase in working concentration was attributed to the highly polished faces and accurate fibre placement allowing more efficient fibre coupling. The capability of the device is as a direct result of the combination of UAM with channel etching and DBFIB machining.
As well as establishing the working range for potential use in in-line reaction monitoring at high concentrations, the LOD for the cell was also established using a compound with significantly higher molar attenuation coefficient, in this case an aqueous dilution series of fluorescein. These data were then used to establish the theoretical limit for qualitative analyte detection within this system. Fig 8 shows the liner absorbance calibration curve for these fluorescein solutions whilst Fig 9 shows the different absorbance spectra obtained for the dilution series. The corresponding calibration curve was then used to estimate the cells LOD.
Through the generation of this data, the theoretical limit of detection for the cell could be calculated from Eq 2. This calculation yielded a limit of detection for the system of 18 μM, meaning that the cell is capable of measuring solutions from 18 μM to 18 mM. This wide range of concentrations is a significant advantage for online reaction monitoring in which high throughput is attained when using as high a concentration as possible whilst the high degree of system sensitivity is useful for low-level analyte detection.
This direct incorporation of these optical elements has the potential to transform UAM devices into powerful analytical tools for determining optimal reaction conditions, the presence of analyse and reaction kinetics. In these UAM systems however, there are no issues associated with organic solvent compatibility or elevated temperatures and pressures. This enables a wide range of organic reactions that could potentially be performed and monitored within the system, providing they possess suitable UV-activity. This work demonstrates that UAM permits the use of metallic materials with fluidic pathways and detector capabilities on par of traditionally manufactured polymer devices. The improved compatibilities are further expanded by the more robust nature of the fluidic device material and the greater fluidic path freedom that is possible via an AM approach. This work has resulted in highly robust devices capable of facilitating wide ranging reaction conditions and multiple potential further applications such as UV catalysis and chemiluminescence detection.
Conclusions
This work has demonstrated how the application of advanced production technologies to the field of microfluidic reactionware can result in new possibilities for the field in terms of more robust devices applicable to a wider range of reactions whilst maintaining measurement accuracy in a more freeform design. In addition the fact that the tested organic solvents do not affect the device materials (i.e. Al) in this work means the lifetime and range of applications is superior to previously demonstrated AM polymeric parts.
The precise nature of DBFIB milling and lift out procedures means that very high-resolution optical configurations can be formed. The highly polished nature of the fibres produced in combination with their accurate alignment leads to excellent fibre coupling, increasing the light transmission for improved analyte detection
Supporting information
S1 File [pdf]
Microfluidic device manufacture.
Zdroje
1. Dittrich PS, Manz A. Lab-on-a-chip: Microfluidics in drug discovery. Nature Reviews Drug Discovery. 2006. doi: 10.1038/nrd1985 16518374
2. Whitesides GM. The origins and the future of microfluidics. Nature. 2006. doi: 10.1038/nature05058 16871203
3. Monaghan T, Capel AJ, Christie SD, Harris RA, Friel RJ. Solid-state additive manufacturing for metallized optical fiber integration. Compos Part A Appl Sci Manuf. 2015;76. doi: 10.1016/j.compositesa.2015.05.032
4. Monaghan T, Harding MJ, Harris RA, Friel RJ, Christie SDR. Customisable 3D printed microfluidics for integrated analysis and optimisation. Lab a Chip—Miniaturisation Chem Biol. 2016;16: 3362–3373. doi: 10.1039/c6lc00562d 27452498
5. Tsuda S, Jaffery H, Doran D, Hezwani M, Robbins PJ, Yoshida M, et al. Customizable 3D Printed ‘Plug and Play’ Millifluidic Devices for Programmable Fluidics. Eddington DT, editor. PLoS One. 2015;10: 1–13. doi: 10.1371/journal.pone.0141640 26558389
6. Symes MD, Kitson PJ, Yan J, Richmond CJ, Cooper GJT, Bowman RW, et al. Integrated 3D-printed reactionware for chemical synthesis and analysis. Nat Chem. 2012;4: 349–54. doi: 10.1038/nchem.1313 22522253
7. Dragone V, Rosnes MH, Sans V, Kitson PJ, Cronin L. Configurable 3D-Printed millifluidic and microfluidic ‘lab on a chip’ reactionware devices. Lab on a Chip. 2012. p. 3267. doi: 10.1039/c2lc40761b 22875258
8. Dragone V, Sans V, Rosnes MH, Kitson PJ, Cronin L. 3D-printed devices for continuous-flow organic chemistry. Beilstein J Org Chem. 2013;9: 951–9. doi: 10.3762/bjoc.9.109 23766811
9. Mathieson JS, Rosnes MH, Sans V, Kitson PJ, Cronin L. Continuous parallel ESI-MS analysis of reactions carried out in a bespoke 3D printed device. Beilstein J Nanotechnol. 2013;4: 285–291. doi: 10.3762/bjnano.4.31 23766951
10. Kitson PJ, Symes MD, Dragone V, Cronin L. Combining 3D printing and liquid handling to produce user-friendly reactionware for chemical synthesis and purification. Chem Sci. 2013;4: 3099–3103. doi: 10.1039/C3SC51253C
11. Capel AJ, Edmondson S, Christie SDR, Goodridge RD, Bibb RJ, Thurstans M. Design and additive manufacture for flow chemistry. Lab Chip. 2013;13: 4583–90. doi: 10.1039/c3lc50844g 24100659
12. Bishop GW, Satterwhite JE, Bhakta S, Kadimisetty K, Gillette KM, Chen E, et al. 3D-Printed Fluidic Devices for Nanoparticle Preparation and Flow-Injection Amperometry Using Integrated Prussian Blue Nanoparticle-Modified Electrodes. Anal Chem. 2015;87: 5437–43. doi: 10.1021/acs.analchem.5b00903 25901660
13. Kadimisetty K, Mosa IM, Malla S, Satterwhite-Warden JE, Kuhns TM, Faria RC, et al. 3D-printed supercapacitor-powered electrochemiluminescent protein immunoarray. Biosens Bioelectron. 2016;77: 188–193. doi: 10.1016/j.bios.2015.09.017 26406460
14. Gelber MK, Bhargava R. From chip-in-a-lab to lab-on-a-chip: towards a single handheld electronic system for multiple application-specific lab-on-a-chip (ASLOC). 2014;15. doi: 10.1039/c4lc01392a
15. Shallan AI, Smejkal P, Corban M, Guijt RM, Breadmore MC. Cost-effective three-dimensional printing of visibly transparent microchips within minutes. Anal Chem. 2014;86: 3124–30. doi: 10.1021/ac4041857 24512498
16. Comina G, Suska A, Filippini D, Foudeh A, Didar T, Veresa T, et al. Low cost lab-on-a-chip prototyping with a consumer grade 3D printer. Lab Chip. 2014;14: 2978. doi: 10.1039/c4lc00394b 24931176
17. Au AK, Bhattacharjee N, Horowitz LF, Chang TC, Folch A. 3D-printed microfluidic automation. Lab Chip. 2015;15. doi: 10.1039/c4lc90120g
18. Bhargava KC, Thompson B, Malmstadt N. Discrete elements for 3D microfluidics. Proc Natl Acad Sci. 2014;111: 15013–15018. doi: 10.1073/pnas.1414764111 25246553
19. Lee KG, Park KJ, Seok S, Shin S, Kim DH, Park JY, et al. 3D printed modules for integrated microfluidic devices. RSC Adv. 2014;4: 32876. doi: 10.1039/C4RA05072J
20. Mcdonald JC, Chabinyc ML, Metallo SJ, Anderson JR, Stroock AD, Whitesides GM. Prototyping of Microfluidic Devices in Poly(dimethylsiloxane) Using Solid-Object Printing. doi: 10.1021/ac010938q 12033242
21. Bonyár A, Sántha H, Ring B, Varga M, Gábor Kovács J, Harsányi G. 3D Rapid Prototyping Technology (RPT) as a powerful tool in microfluidic development. Procedia Eng. 2010;5: 291–294. doi: 10.1016/j.proeng.2010.09.105
22. O’Connor J, Punch J, Jeffers N, Stafford J. A dimensional comparison between embedded 3D-printed and silicon microchannels. J Phys Conf Ser. 2014;525: 012009. doi: 10.1088/1742-6596/525/1/012009
23. Lee JM, Zhang M, Yeong WY. Characterization and evaluation of 3D printed microfluidic chip for cell processing. Microfluid Nanofluidics. 2016;20: 5. doi: 10.1007/s10404-015-1688-8
24. Walczak R, Adamski K. Inkjet 3D printing of microfluidic structures—on the selection of the printer towards printing your own microfluidic chips. J Micromechanics Microengineering. 2015;25: 085013. doi: 10.1088/0960-1317/25/8/085013
25. Paydar OH, Paredes CN, Hwang Y, Paz J, Shah NB, Candler RN. Characterization of 3D-printed microfluidic chip interconnects with integrated O-rings. Sensors Actuators A Phys. 2014;205: 199–203. doi: 10.1016/j.sna.2013.11.005
26. Sandron S, Heery B, Gupta V, Collins DA, Nesterenko EP, Nesterenko PN, et al. 3D printed metal columns for capillary liquid chromatography. Analyst. 2014;139: 6343–6347. doi: 10.1039/c4an01476f 25285334
27. Molho JI, Herr Amy E., Mosier Bruce P., Juan G. Santiago A, Kenny TW, And RAB, et al. Optimization of Turn Geometries for Microchip Electrophoresis. 2001. doi: 10.1021/AC001127+
28. Culbertson Christopher T., Jacobson Stephen C. and, Ramsey* JM. Dispersion Sources for Compact Geometries on Microchips. 1998. doi: 10.1021/AC9804487
29. Reston RR, Kolesar ES. Silicon-micromachined gas chromatography system used to separate and detect ammonia and nitrogen dioxide. I. Design, fabrication, and integration of the gas chromatography system. J Microelectromechanical Syst. 1994;3: 134–146. doi: 10.1109/84.338634
30. Fabry DC, Sugiono E, Rueping M. Online monitoring and analysis for autonomous continuous flow self-optimizing reactor systems. React Chem Eng. 2016;1: 129–133. doi: 10.1039/C5RE00038F
31. Löbbecke S. Integration of sensors and process analytical techniques. In: Kockmann N, editor. Micro Process Engineering Fundamentals, Devices, Fabrication, and Applications. Wiley-VCH Verlag GmbH; 2006. pp. 249–266.
32. Luka G, Ahmadi A, Najjaran H, Alocilja E, DeRosa M, Wolthers K, et al. Microfluidics Integrated Biosensors: A Leading Technology towards Lab-on-a-Chip and Sensing Applications. Sensors (Basel). 2015;15: 30011–31. doi: 10.3390/s151229783 26633409
33. Dittrich Petra S., Tachikawa Kaoru and, Manz* A. Micro Total Analysis Systems. Latest Advancements and Trends. 2006. doi: 10.1021/AC0605602 16771530
34. Malic L, Kirk AG. Integrated miniaturized optical detection platform for fluorescence and absorption spectroscopy. Sensors Actuators A Phys. 2007;135: 515–524. doi: 10.1016/j.sna.2006.09.021
35. Kuswandi B, Nuriman, Huskens J, Verboom W. Optical sensing systems for microfluidic devices: A review. Anal Chim Acta. 2007;601: 141–155. doi: 10.1016/j.aca.2007.08.046 17920386
36. Dalitz F, Cudaj M, Maiwald M, Guthausen G. Process and reaction monitoring by low-field NMR spectroscopy. Prog Nucl Magn Reson Spectrosc. 2012;60: 52–70. doi: 10.1016/j.pnmrs.2011.11.003 22293399
37. White DR. Ultrasonic consolidation of aluminum tooling. Adv Mater Process. 2003;161: 64–65.
38. Okada M, Shin S, Miyagi M, Matsuda H. Joint Mechanism of Ultrasonic Welding. Trans Japan Inst Met. 1963;4: 250–255. doi: 10.2320/matertrans1960.4.250
39. Joshi KC. The formation of ultrasonic bonds between metals. Weld J. 1971;50: 840–848.
40. de Vries E. Mechanics and mechanisms of ultrasonic metal welding. Ohio State. 2004.
41. Daniels HPC. Ultrasonic Welding. Ultrasonics. 1965;3: 190–196.
42. Connor LP, O’Brien RL. Welding Handbook Vol 2: Welding processes. 8th ed. American Welding Society; 1991.
43. Jones JB, Powers JJ Jr. Ultrasonic Welding. Weld J. 1956;35: 761–766.
44. Kong CY, Soar RC. Fabrication of metal–matrix composites and adaptive composites using ultrasonic consolidation process. Mater Sci Eng A. 2005;412: 12–18. doi: 10.1016/j.msea.2005.08.041
45. Li D, Soar RC. Characterization of Process for Embedding SiC Fibers in Al 6061 O Matrix Through Ultrasonic Consolidation. J Eng Mater Technol. 2009;131: 021016. doi: 10.1115/1.3030946
46. Mou C, Saffari P, Li D, Zhou K, Zhang L, Soar R, et al. Smart structure sensors based on embedded fibre Bragg grating arrays in aluminium alloy matrix by ultrasonic consolidation. Meas Sci Technol. 2009;20: 034013. doi: 10.1088/0957-0233/20/3/034013
47. Kong CY, Soar RC, Dickens PM. Ultrasonic consolidation for embedding SMA fibres within aluminium matrices. Compos Struct. 2004;66: 421–427. doi: 10.1016/j.compstruct.2004.04.064
48. Li Y, Liu W, Feng Y, Zhang H. Ultrasonic embedding of nickel-coated fiber Bragg grating in aluminum and associated sensing characteristics. Opt Fiber Technol. 2012;18: 7–13. doi: 10.1016/j.yofte.2011.09.004
49. Robinson CJ, Stucker B, Lopes AJ, Wicker RB, Palmer JA. Integration of direct-write (DW) and ultrasonic consolidation (UC) technologies to create advanced structures with embedded electrical circuitry. Proceedings of the 17th Annual Solid Freeform Fabrication Symposium, University of Texas at Austin, Austin, TX. Society of Manufacturing Engineers; 2006. pp. 60–69.
50. Hopkins CD, Foster D, Dapino MJ, Zhang L, Aerospace D. Metal-matrix composite metamaterials with smart switches embedded by ultrasonic consolidation. ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2010. 2010. pp. 471–480.
51. Li J, Monaghan T, Masurtschak S, Bournias-Varotsis A, Friel RJ, Harris RA. Exploring the mechanical strength of additively manufactured metal structures with embedded electrical materials. Mater Sci Eng A. 2015;639. doi: 10.1016/j.msea.2015.05.019
52. Li J, Monaghan T, Nguyen TT, Kay RW, Friel RJ, Harris RA. Multifunctional metal matrix composites with embedded printed electrical materials fabricated by Ultrasonic Additive Manufacturing. Compos Part B Eng. 2017;113. http://dx.doi.org/10.1016/j.compositesb.2017.01.013
53. Surdo S, Merlo S, Carpignano F, Strambini LM, Trono C, Giannetti A, et al. Optofluidic microsystems with integrated vertical one-dimensional photonic crystals for chemical analysis. Lab Chip. 2012;12: 4403. doi: 10.1039/c2lc40613f 22930245
54. Davis JR. Corrosion of aluminum and aluminum alloys. ASM International; 1999.
55. Kong C. Y, Soar R. C, Dickens P. M. Optimum process parameters for ultrasonic consolidation of 3003 aluminium. J Mater Process Technol. 2004;146: 181–187. doi: 10.1016/j.jmatprotec.2003.10.016
56. Li D, Soar RC. Plastic flow and work hardening of Al alloy matrices during ultrasonic consolidation fibre embedding process. Mater Sci Eng A. 2008;498: 421–429. doi: 10.1016/j.msea.2008.08.037
57. Swinehart DF. The Beer-Lambert Law. J Chem Educ. 1962;39: 333–335. doi: 10.1021/ed039p333
58. Miller J, Miller J. Statistics and chemometrics for analytical chemistry. 2005.
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