Formulation of stable, functional inks is critical to expanding the applications of additive manufacturing. In turn, knowledge of the mechanisms of dispersant/particle bonding is required for effective ink formulation. Diffuse Reflectance Fourier Transform Infrared Spectroscopy (DRIFTS) is presented as a simple, inexpensive way to gain insight into these mechanisms.
In additive manufacturing, or 3D printing, material is deposited drop by drop, to create micron to macroscale layers. A typical inkjet ink is a colloidal dispersion containing approximately ten components including solvent, the nano to micron scale particles which will comprise the printed layer, polymeric dispersants to stabilize the particles, and polymers to tune layer strength, surface tension and viscosity. To rationally and efficiently formulate such an ink, it is crucial to know how the components interact. Specifically, which polymers bond to the particle surfaces and how are they attached? Answering this question requires an experimental procedure that discriminates between polymer adsorbed on the particles and free polymer. Further, the method must provide details about how the functional groups of the polymer interact with the particle. In this protocol, we show how to employ centrifugation to separate particles with adsorbed polymer from the rest of the ink, prepare the separated samples for spectroscopic measurement, and use Diffuse Reflectance Fourier Transform Infrared Spectroscopy (DRIFTS) for accurate determination of dispersant/particle bonding mechanisms. A significant advantage of this methodology is that it provides high level mechanistic detail using only simple, commonly available laboratory equipment. This makes crucial data available to almost any formulation laboratory. The method is most useful for inks composed of metal, ceramic, and metal oxide particles in the range of 100 nm or greater. Because of the density and particle size of these inks, they are readily separable with centrifugation. Further, the spectroscopic signatures of such particles are easy to distinguish from absorbed polymer. The primary limitation of this technique is that the spectroscopy is performed ex-situ on the separated and dried particles as opposed to the particles in dispersion. However, results from attenuated total reflectance spectra of the wet separated particles provide evidence for the validity of the DRIFTS measurement.
Additive manufacturing has recently emerged as a promising technique for fabrication of everything from ceramics to semiconductors to medical devices1. As the applications of additive manufacturing expand to printed ceramic, metal oxide, and metal parts, the need to formulate specialized functional inks arises. The question of how to formulate the required functional inks relates to a fundamental issue in surface and colloid science: what are the mechanisms by which particles in colloidal dispersion are stabilized against aggregation? Broadly, stabilization requires modification of the particle surfaces such that close approach of particles (and hence aggregation) is prevented either by Coulombic repulsion (electrostatic stabilization), by the entropic penalty of polymer entanglement (steric stabilization), or by a combination of the Coulombic and entropic forces (electrosteric stabilization)2. In order to achieve any of these mechanisms of stabilization, it is usually necessary to modify the particle surface chemistry through attachment of polymers or shorter chain functional groups. Thus, the rational formulation of stable functional inks demands that we know whether a given chemical additive attaches to the particle surface and what chemical group attaches to the particle surface.
The goal of the method presented in this protocol is to demonstrate rapid characterization of chemical species adsorbed on particle surfaces in functional inks. This goal is particularly important as functional ink formulation transitions from a specialized task for surface and colloid scientists to an activity broadly practiced by the range of scientists and engineers interested in printing ceramic, metal oxide, and metal devices. Achieving this goal requires designing an experiment that overcomes the challenges of characterizing opaque, high solids loadings dispersions. It also requires discriminating between chemical species that are present in the dispersion but not adsorbed on the particles from those that are actually adsorbed. It further requires distinguishing between those species that are chemically adsorbed on the particles from those that are weakly physisorbed. In this experimental protocol, we present the use of diffuse reflectance infrared spectroscopy for characterization of dispersant attachment in functional inks. The diffuse reflectance infrared spectroscopy measurement follows a pre-analysis sample preparation technique necessary to distinguish adsorbed species from those merely present in the dispersion.
A variety of methods are currently used to gain insight into the nature of the interactions between chemical ink components and colloidally dispersed particles. Some of these methods are indirect probes in which measured properties are presumed to correlate with surface functionalization. For example, changes in slurry rheology or sedimentation rates are presumed to correlate with adsorption of surface modifiers3. Particle size distribution, as characterized by dynamic light scattering (DLS), and zeta potential, as characterized by electrophoretic mobility, provide insight into the adsorption of polymers or species with surface charge4,5. Similarly, sample mass loss as probed by thermogravimetric analysis (TGA) relates to the presence of desorbing species and the strength of interaction between the adsorbate and the particle6. The information from the above mentioned indirect probes suggest changes in surface chemistry, but they do not provide direct insight into the identity of the adsorbing species or the mechanism of its adsorption. Direct insight is particularly important for functional inks in which a large number of components are present in the dispersion. To provide detailed molecular level information, X-ray photoelectron spectroscopy (XPS)7, 13C nuclear magnetic resonance (NMR) 4,6, and infrared spectroscopy8-12 have been explored. Of these three options, infrared spectroscopy is particularly promising. In comparison to 13C NMR, infrared spectroscopy does not require that inks be formulated with analytically pure solvents to prevent interferences during measurement13. In comparison to X-ray photoelectron spectroscopy, standard infrared spectroscopy can be conducted at ambient pressure, avoiding the need for ultrahigh vacuum conditions during measurement.
There is literature precedent for the use of infrared spectroscopy to probe the interaction between colloidally dispersed ceramic, metal oxide, and metal nanoparticles. These works can be separated into attempts to measure interfacial chemistry in situ using attenuated total reflectance infrared (ATR-IR)9, and attempts to measure interfacial chemistry ex situ using solid sampling8. While there are advantages to in situ measurements, the uncertainties that arise due to the necessity for spectral manipulation make the method difficult for multi-component inks in which there are solvents and multiple polymeric components. Therefore, this protocol focuses on solid sampling and ex situ measurement. All of the solid sampling methods entail a pre-treatment step where a solid is obtained by separating the particles from the solvent, and an analysis step where infrared measurements are performed on the solid particles. The difference between methods arises in the choice of sample pre-treatment and in the choice of experimental technique used for infrared analysis of the solid. Historically, the traditional way to use infrared spectroscopy to analyze solids was to grind small quantities (< 1%) of the solid sample with potassium bromide (KBr) powder, and then subject the mixture to high pressure sintering. The result is a transparent KBr pellet. This procedure has been attempted successfully with powders derived from aqueous suspensions of zirconia nanoparticles functionalized with polyethyleneamine10, with fatty acid monolayers on cobalt nanoparticles7, and with catechol-derived dispersants on Fe3O4 nanoparticles14. Despite these successful applications of the KBr pelleting technique for detection of adsorbed dispersants, diffuse reflectance infrared spectroscopy provides several advantages. One advantage is simplified sample preparation. In contrast to KBr pelleting, the solid sample in diffuse reflectance can be simply ground by hand. There is no sintering step as the powder itself is loaded into the sample cup and the diffusely scattered infrared light is measured. The other advantage of diffuse reflectance over KBr pelleting is the increased surface sensitivity15. The increase in surface sensitivity is especially useful for the present application in which the critical questions are the presence and nature of adsorbates on the nanoparticle surfaces.
Among works that have used the diffuse reflectance sampling technique to probe the adsorption of chemical species on colloidally dispersed samples, the primary differences arise in the method of separating the nanoparticles from the liquid medium. This step is critical because, without the separation, it would be impossible to distinguish specifically adsorbed dispersants from dispersants simply dissolved in the liquid medium. In several examples, the method of separation is not obvious from the experimental protocol12,16,17. When specified, the most frequently practiced method involves gravitational separation. The rationale is that the ceramic, metal oxide, and metal nanoparticles are all more dense than the surrounding media. When they settle, they will drag down with them only the specifically adsorbed species. Chemical species not interacting with the particles will remain in solution. While dispersions may readily settle under normal gravitational force18, a stable inkjet ink should not observably settle over a time period of less than a year. As such, the method of employing centrifugation for pre-analysis separation is preferred. This has been demonstrated in several studies of dispersant adsorption on glass particles19,20, dispersant binder adsorption on alumina8, and anionic dispersant functionalization of CuO11. Most recently, we have used it to evaluate mechanisms of fatty acid binding in non-aqueous NiO dispersions used for inkjet and aerosol jet printing of solid oxide fuel cell layers21.
1. Pre-analysis Sample Preparation
2. Diffuse Reflectance Infrared Spectroscopy Measurement
The experimental procedure described in this protocol has been applied to gain insight into the mechanism of NiO particle stabilization in an ink used to print the anode of solid oxide fuel cells. This ink is a dispersion of NiO particles in 2-butanol, alpha terpineol, and a range of dispersants and binders22. Representative results are shown here for a simplified dispersion of NiO in 2-butanol with an oleic acid dispersant. In Figure 1A, we show raw diffuse reflectance infrared spectroscopy data. To interpret this data, it is necessary to compare the spectrum of the NiO particles obtained from the dispersion to the spectrum of the NiO particles before dispersion (Figure 1B) and to the spectrum of the neat dispersant, oleic acid (Figure 1C). We note here that none of the data in Figure 1 has undergone baseline subtraction or mathematical transformation. Thus, there is no question of artifacts arising from data processing. Because the spectroscopic signature of the dispersed NiO is different from the NiO that did not undergo dispersion, it is evident that an adsorbate species is present on the NiO obtained from the NiO/2-butanol/oleic acid dispersion. Since these peaks do not arise when NiO is dispersed in 2-butanol without oleic acid, the peaks must come from the oleic acid moiety. The differences between the neat oleic acid (Figure 1C) and the oleic acid moiety adsorbed on the NiO provide insight into the mechanism of adsorption. Involvement of the C=C bond in the adsorbate/particle binding interaction is improbable because the C-H stretch region (~2,800 cm-1 to 3,200 cm-1) is undisturbed. Notably, the vinylic C-H stretch is in the same position for adsorbed and neat oleic acid. On the other hand, the C=O stretch corresponding to the carboxylic acid functionality (1,708 cm-1) is strong and present for neat oleic acid, but absent for adsorbed oleic acid. Similarly, the out of plane OH deformation mode of the oleic acid (γ(OH), ~ 940 cm-1) disappears upon dispersion with NiO. The disappearance of the carbonyl stretching mode and the OH deformation mode, is accompanied by the appearance of a νa(COO) peak (1,547 cm-1) suggesting that the oleic acid bonds to the NiO through both oxygens in an η2 configuration21. The proposed η2 species may be chelating (both oxygens bonding through a single Ni surface center) or bridging (the oxygens bonding to the surface through adjacent Ni centers) (Figure 2). Distinguishing between these options would require the ability to resolve the νs (COO) and νas (COO) modes, as has been established through previous infrared and X-ray crystallographic studies of acetate compounds23.
Diffuse reflectance infrared spectroscopy data is sensitive to sample preparation (efficacy of sample/KBr mixing and KBr/sample particle size) and to the extent to which the infrared spectroscopic source is properly warmed up. Figure 3 provides an example of a U-shaped baseline and wider peaks. While the spectrum in Figure 3 provides similar qualitative information about the nature of the oleic acid/NiO bond, the peak widths impede resolution of spectral features, particularly in the regions below 1,250 cm-1 and above 3,000 cm-1. Further, the U-shaped baseline exaggerates the intensity of the spectral features with increasing distortion on either end of the wavenumber scale.
Finally, transformation of the diffuse reflectance infrared spectroscopic data via application of the Kubelka Munk equations provides a mechanism by which the intensity of scattered radiation can be quantitatively related to concentration24. These transformation algorithms are available on many commercially available software packages (for example, Shimadzu’s IR Solution software). However, attempts to extract quantitative information from diffuse reflectance infrared spectroscopy should be undertaken carefully because relative intensities of bands vary with particle size. Further, the relationship between concentration and scattered radiation intensity becomes nonlinear at high sample concentrations24.
Figure 1. Raw infrared spectroscopic data. Diffuse reflectance infrared spectroscopic data corresponding to (A) NiO particles obtained from a NiO/oleic acid/2-butanol dispersion, as compared to (B) NiO particles alone, as compared to (C) attenuated total reflectance infrared spectroscopic data from neat oleic acid.
Figure 2. Possible η2 configurations for oleic acid bonding to NiO. Possible configurations include: (A) chelating, and (B) bridging. These options for adsorption are based on typical structures observed in inorganic complexes23. Bond lengths and bond angles are not drawn to scale.
Figure 3. Raw infrared spectroscopic data. Diffuse reflectance infrared spectroscopic data corresponding to NiO particles obtained from a NiO/oleic acid/2-butanol dispersion. The red trace illustrates the U-shaped baseline and increased peak widths characteristic of inadequate warm up of the IR source and inadequate mixing and grinding of the sample and KBr powders. For the data in this figure, the IR source of the Shimadzu IR Prestige-21 instrument was powered on approximately 1 hr prior to measurement. For the Shimadzu IR Prestige-21 instrument, improved data was typically obtained when the IR source was powered on for twelve or more hours prior to measurement. For the red trace in this figure, mixing and grinding was performed for less than one minute and inhomogeneity in the size of grains in the sample was visually evident.
The two critical factors for generating high quality infrared spectra using this procedure are: 1) minimizing the absolute quantity of water contamination and the differences in the quantity of water contamination between the sample and reference cups; and 2) creating sample and reference cups with uniform flat layers and similar KBr grain sizes. Both of these factors are achieved by paying particular attention to the sample preparation procedures outlined in section 2.3.
In order minimize the overall quantity of water contamination and to keep the water contamination the same in the reference and sample, it is necessary to minimize the amount of time that the hygroscopic KBr is exposed to water vapor in the atmosphere and to keep the reference and sample KBr exposed to the atmosphere for approximately the same amounts of time. To minimize the amount of time that KBr is exposed to water vapor in the atmosphere during sample preparation, the ink particle sample should be weighed before the KBr packets are opened (or KBr powder is weighed). Also, the infrared sample compartment should be kept under a continuous purge of clean, dry air (or nitrogen gas) so that no water adsorption occurs during measurement. To minimize the difference in water contamination between the sample and reference cups, a new KBr reference cup should be created and measured each time a new sample is created and measured. Further, the KBr used for the sample cup should be open and exposed to the air with minimal delay after the reference KBr is ground.
To create sample and reference cups with uniform flat layers and similar KBr grain sizes, the samples should be ground for the same amount of time and with the same vigor. With practice, manual grinding is quite effective, although mechanical grinding and blending accessories are commercially available. Once a proper powder has been achieved, the sample and reference cups must be packed so that the top layer is flat and uniform. One simple way to do this is to fill the cup with powder, lightly press the powder with the pestle, then top off the cup with additional powder. This top layer of powder is then leveled by running the side of a razor blade along the surface. Once created, the sample and reference cups must then be transported into the diffuse reflectance apparatus without disturbing the flat surfaces. To do this, all care must be taken not to shake the cups.
When performing the diffuse reflectance sampling for ink particles, the most common challenges encountered are baseline irregularity, excessive peak width, and inadequate signal to noise ratio. The most frequent baseline irregularity is a pronounced U-shape in which the high and low wavenumber regions have exaggerated increases in absorbance. This may be an artifact of inadequate sample mixing24. Alternatively, this may be indicative that the infrared radiation source in the spectrometer is not sufficiently warmed up. In comparison to other infrared sampling in other modes, the diffuse reflectance measurement appears highly sensitive to spectrometer warm up time. Similarly, peak width is quite sensitive to sample preparation, in particular to the particle size of the ground KBr. Large particle sizes result in broader peaks24. Therefore, if the peak width is too large to resolve the desired spectral features, it may be useful to switch KBr suppliers, extend manual grinding times, or switch to mechanical grinding. Since the present technique focuses on detection of surface adsorbates, inadequate signal to noise ratio is also sometimes encountered. If a MCT-A detector is available, it may be useful to switch from the default DLaTGS detector to the more sensitive MCT-A. Signal to noise ratio is also improved by increasing the number of scans and decreasing the spectral region over which the scans are performed.
Even when all care is taken in sample preparation and measurement, there are some inherent limitations to the application of diffuse reflectance infrared spectroscopy to the analysis of adsorbate bonding in functional inks. First, the density and sizes of the functional particles must be in a range that can be separated from the ink vehicle via centrifugation. The greater the density difference between the ink vehicle and particles, and the larger the particle sizes, the easier the separation. This information is summarized by Stokes Law (eq. 1):
[1]
where Vs is the settling velocity of a particle with density ρp and radius R. The fluid density and viscosity are ρf and µ, respectively, and the acceleration due to gravity is g. Organic pigments or other carbon-based materials in the range of less than 100 nm may require high g forces, and hence high centrifugation speeds to separate. Even when separable, organic pigments or other carbon based particles may be difficult to measure because of the strong and broad absorbance of carbon in the infrared region. In practice, decreasing the sample concentration of the carbon-based material (i.e., increasing the dilution with KBr) sometimes helps improve the detectability of adsorbates, but the signal still tends to be low. The final limitation of this technique is that it is an ex-situ measurement. Care must be taken to ensure that during the drying process, the adsorbed species does not decompose nor change significantly its interaction with the functional ink particle. One way to check this is to perform attenuated total reflectance infrared spectroscopy (ATR-IR) on a small amount of the still wet sediment immediately after centrifugation. The ATR-IR spectra can be collected periodically as the sample dries on the ATR plate. The bands observed will thus show the adsorbate plus the decreasing amounts of solvent as a function of time. If the adsorbate bands generated through this ATR-IR experiment agree with the adsorbate bands generated during the diffuse reflectance measurement, then there is evidence that the drying process does not significantly change the nature of the adsorbate/particle interaction. We note here that while the ATR-IR performed in this manner generates useful information, the diffuse reflectance measurement is preferred because the ATR-IR measurement thus performed requires that the sample remain in the chamber for an amount of time sufficient to evaporate the solvent. Data acquired during these long experimental times may suffer from significant water bands (even when the compartment is vigorously purged by clean dry air). Confirmation experiments can also be performed using ATR-IR experiments on the unseparated ink9, but proper baseline subtraction is non-trivial in such a situation, and it may be impossible to distinguish between physisorbed polymer and polymer in solution.
The above described diffuse reflectance infrared spectroscopy protocol provides valuable insight into the nature of the interaction between adsorbates and the functional particles in ceramic, metal oxide, and metal inks. In turn, this insight can inform the rational formulation of functional inks. As the printing of ceramic, metal oxide, and metal devices transitions from academic research to commercial manufacturing, this diffuse reflectance infrared spectroscopy technique will be useful to industrial formulation laboratories. Instead of relying on indirect evidence of particle/adsorbate interaction (rheology, particle size, zeta potential), formulators will have direct evidence of which molecules most effectively bond to and stabilize a given particle.
The authors have nothing to disclose.
The authors acknowledge the support of the Air Force Research Labs under UES sub-contract #S-932-19-MR002. The authors further acknowledge equipment support from New York State Graduate Research and Teaching Initiative (GRTI/GR15).
FTIR bench | Shimadzu Scientific Instruments | IR_Prestige 21 used in this work; in 2013 IR-Tracer 100 model replaced Prestige-21 | Any research grade FTIR with purgable sample compartment is acceptable |
Purge gas generator for sample compartment | Parker Balston | 74-5041NA Lab Gas Generator | Provides air with less than 1ppm CO2 and water; also possible to purge compartment with N2 tank |
Diffuse Reflectance Infrared Accessory | Pike Technologies | 042-10XX | Includes sample preparation kit and mortar and pestle (these can also be purchased separately, described below) |
Diffuse Reflectance Sample Preparation kit | Pike Technologies | 042-3040 | Includes sample holder cups, spatulas, alignment mirror, mirror brush, razor blades |
Agate mortar and pestle | Pike Technologies | 161-5035 | |
Centrifuge | ThermoScientific | Sorvall ST16 | Most benchtop centrifuges capable of ~ 5000 rpm will be acceptable |
Consumables | |||
Item | Company | Catalog # | Comments/Description |
Centrifuge tubes | Evergreen Scientific | 222-2470-G8K | Any centrifuge tube of compatible size and material is acceptable |
KBr powder packets | ThermoScientific | 50-465-317 | Also possible to use alternative KBr supplier |