Adam
Hollerbach
a,
David
Logsdon
a,
Kiran
Iyer
a,
Anyin
Li
a,
J. Andy
Schaber
b and
R.
Graham Cooks
*a
aChemistry Department, Purdue University, West Lafayette, IN, USA. E-mail: cooks@purdue.edu
bBioscience Imaging Facility, Bindley Bioscience Center, Purdue University, West Lafayette, IN, USA
First published on 8th November 2017
Electrosprayed droplets are widely studied for their role in the formation of ions at atmospheric pressure. Most droplet measurement methods used today employ light scattering to infer information about an electrosprayed droplet's size. However, these methods fail to measure droplets smaller than about 400 nm in diameter due to constraints imposed by the diffraction limit of light. To overcome this limitation, a super resolution fluorescence microscopy-based method for determining the sizes of electrosprayed droplets has been developed. Solutions containing rhodamine B and different amounts of glycerol were paper sprayed and nanoelectrosprayed onto conductive microscope coverslips using a single, high voltage pulse. Images of the deposited droplets were collected using a super resolution microscope operating in 3D structured illumination microscopy mode (3D-SIM). The sizes of droplets were measured using a modified circular Hough transformation program in Matlab. On average, the diameters of paper sprayed droplets were between 500 nm and 2 μm while almost all nanoelectrosprayed droplets were smaller than 1 μm. The center of a paper spray plume exhibited larger droplets than those at the periphery, likely due to greater Coulombic repulsive forces acting on the smaller droplets to drive them outwards. The periphery also likely contained progeny droplets in addition to smaller parent droplets. It was possible to alter the sizes of nanoelectrosprayed droplets in several ways, including by changing the solvent composition and voltage applied to the emitter. Droplets consisting of high concentrations of glycerol were larger than droplets containing high concentrations of methanol, presumably due to the high surface tension of glycerol. Correspondingly, droplets became smaller when the voltage applied to the emitter was increased, likely due to the ability to overcome the surface tension of the solvent more easily. The smallest detectable droplets confidently measured with this method were 200 nm in diameter. This method demonstrates a new way of measuring the sizes of electrosprayed droplets with half the diameter of conventional droplet size measurement methods. Through further optimization, it may be possible to measure the sizes of electrosprayed droplets as small as the theoretical resolution limit of SIM (∼100 nm).
Several different types of instruments have been developed for determining the sizes of electrosprayed droplets and aerosols,20,21 including aerodynamic particle sizers,22–24 differential mobility spectrometers,24–27 and phase-Doppler anemometers (PDA).28–34 PDA is arguably the most widely used for directly analyzing electrosprayed droplets larger than the diffraction limit of light. In PDA, a droplet travels through an interference pattern created by two lasers and scatters light at a beat frequency proportional to its velocity.35 Multiple detectors are used to detect phase differences in the beat frequency. These differences, along with spatial elements of the experimental arrangement, are used to calculate the droplet's diameter. PDA has been used to measure the sizes and velocities of both conventionally electrosprayed30 and paper sprayed droplets.32 Additionally, Beauchamp et al. used a modified PDA setup to measure the size and charge of a droplet over the droplet's lifetime.36 Their results showed that droplets shrank in size primarily due to solvent evaporation while Coulombic fission events were the primary cause of charge loss.
One of the first experiments to measure sub-diffraction limit sized electrospray droplets was performed by Chen et al.25 In this study, electrosprayed droplets containing sucrose were charge reduced and allowed to undergo complete desolvation, resulting in the formation of sucrose aggregates. A scanning mobility particle sizer was used to measure the sizes of the sucrose aggregates, which indirectly provided size measurements of the droplets which produced those aggregates. Using this method, information about droplets as small as 4 nm in diameter was inferred. Davidson et al. recently used this method to show that large droplets exhibit a much greater amount of nonspecific protein aggregation than small droplets due to the total number of protein molecules present in different sized droplets.27 Williams and coworkers10 generated very small droplets and showed that this removed deleterious effects of buffers by reducing the number of salt ions in any one droplet, even though the number of droplets containing analyte decreased sharply.
Studies performed over fifteen years ago by Ku et al. demonstrated that transmission electron microscopy (TEM) can be used to measure the sizes of electrosprayed droplets.37 The authors electrosprayed glycerol containing high concentrations of sodium iodide onto a TEM grid and subsequently froze the deposited droplets before insertion into the TEM chamber. Most of the droplets sprayed from a 100 μm I.D. fused silica capillary were between 200 and 500 nm in diameter. While their results agreed well with comparative aerodynamic particle sizer measurements performed on larger droplets, the authors noted that droplets consisting primarily of glycerol may not reflect the true size distributions of droplets consisting of more conventional organic spray solvents.
Presented here is the first super resolution fluorescence microscopy-based method for measuring sub-diffraction limit sized charged droplets. These experiments were performed to measure: (1) electrosprayed droplets smaller than the diffraction limit of light, (2) droplets with a wide range of sizes, and (3) the radial distribution of droplets in an electrospray plume. To the best of our knowledge, no current technique can simultaneously address all three of these tasks using relatively simple and easy to access instrumentation. Since super resolution fluorescence microscopy is commercially available, 3D structured illumination microscopy (3D-SIM) was selected as the technique for performing all these tasks. Droplets produced from both paper spray and nanoelectrospray ionization sources were imaged and compared. A custom algorithm in Matlab was developed and used to measure the sizes of deposited droplets down to 200 nm in diameter. The technique facilitates a deeper understanding of the droplet size distributions produced by different electrospray ionization sources while providing a simple, intuitive means to do so.
Fig. 1 Schematic of the experimental setup used for measuring the sizes of electrosprayed droplets by 3D structured illumination microscopy. |
After comparing the two paper spray pulse duration experiments, most droplets were found to possess diameters between about 500 nm and 2 μm. Some droplets greater than 5 μm in diameter were also observed for the 10 ms pulse. The sizes of the glycerol-containing droplets measured here compare reasonably well to PDA studies of droplets containing 1:1 water:methanol which were paper sprayed using 3–4 mm probe distances.32 This seems to suggest that surface wetting did not cause the size measurements of droplets on the microscope slide surface to be significantly different than the corresponding air-based measurements. Interestingly, droplets produced by the 30 ms pulse seemed to be slightly smaller on average compared to droplets produced by the 10 ms pulse. This difference might be artefactual because a significantly lower overall number of droplets were produced from the 10 ms pulse, which limited the total number of droplets that could be counted for this pulse duration. Alternatively, droplets generated using shorter pulses might simply be slightly larger than droplets generated by longer pulses. This hypothesis could be extended to mean there is a difference between droplet sizes in pulsed and continuous electrosprays. This topic will be explored in detail in the future.
All super resolution images were analyzed by a modified spot detection algorithm in Matlab. The detection process is demonstrated here using an image of paper sprayed glycerol droplets (30 ms pulse). Raw intensity images obtained from the microscope (Fig. 3a) were normalized until spots were easily distinguishable from the background (Fig. 3b). The normalization values for each image were manually chosen based on the intensity distribution of the droplets in each frame. Droplets which were spherical, sufficiently bright, and within specific size ranges were detected by a circular Hough transformation (imfindcircles function) in Matlab. Circular Hough transformations essentially work by iteratively constructing circles of different diameters around a circle in an image and then using a voting procedure to determine which circle fits the best. Droplets which were either non-spherical or low in intensity were not considered. When the droplets in an image possessed a narrow range of sizes, only a single transformation was used for analysis. If an image contained droplets with a wide range of sizes, the range was subdivided into smaller size ranges and multiple Hough transformations were used (Fig. 3c). This was done to help the algorithm detect both low intensity and closely spaced droplets as well as provide the most accurate size measurements possible. An example of using a different number of transformations on an image of paper sprayed droplets is given in the ESI (Fig. S1†). The figure shows that using a larger number of transformations is required to accurately size large ranges of droplet sizes. However, when multiple transformations were employed, the transformations used to analyze small droplets routinely and incorrectly assigned small droplets to areas inside or around the peripheries of larger droplets. An overlap removal tool was used to eliminate these incorrect assignments by first determining if two or more circles overlapped by a user-defined number of pixels, which was almost always 1 pixel. If any circles did overlap, the algorithm then kept the circle possessing the most votes and deleted all the smaller ones (Fig. 3d). A few correctly identified droplets were usually discarded in the overlap removal process. It is important to note that the program was only used to detect droplets larger than 200 nanometers to prevent the detection of background noise even though the theoretical resolution limit for SIM is about 100 nm.38
To test the algorithm's accuracy, standard fluorescent nanoparticles with different nominal diameters (0.25, 0.53, and 0.84 μm) were prepared on separate microscope slides and analyzed (Fig. S2†). The algorithm measured nanoparticle diameters of 0.27 ± 0.04 μm, 0.53 ± 0.07 μm, and 0.89 ± 0.10 μm (mean ± 1 std. dev). Photographs of the manufacturer's specifications are given in the ESI† for the 0.25 and 0.53 μm nominal diameter nanoparticles (Fig. S3 and S4†). A value of 0.84 ± 0.02 μm was given by the manufacturer for the largest set of nanoparticles tested, but no distribution was provided. As can be seen from Fig. S2–S4,† the distributions of nanoparticle diameters measured using this method are well within manufacturer specifications. Additionally, most images were resized prior to analysis. This was done to improve the detection algorithm's accuracy and ability to detect small droplets. The effect of resizing an image by factors of one, two, and three is given in the ESI† using an image of 0.84 μm diameter nanoparticles (Fig. S5†). A greater number of droplets was detected in resized images compared to non-resized; however, resized images usually required longer analysis times.
As stated earlier, all images were normalized prior to analysis depending on the intensity distribution of the droplets in the image. This was done primarily to allow the user interpreting the data to visualize all the droplets present in an image and select appropriate processing parameters, such as transformation sensitivities. However, since every image required a slightly different set of normalization values, an experiment was performed to test the effect of normalizing an image on the accuracy of the program. An image containing 0.53 μm nominal diameter nanoparticles was analyzed using various normalization values (Fig. S6†). Depending on the normalization values chosen, images could be made brighter or darker by changing the higher or lower normalization value, respectively (Fig. S6a–S6e†). A single Hough transformation with an optimized sensitivity factor was used to analyze each image. As can be seen, roughly the same number of particles were detected in each image (Fig. S6f–S6j†) and the droplet size distributions acquired at each set of normalization values showed that the accuracy of the algorithm was independent of the normalization values when optimal conditions were selected (Fig. S6k–S6o†). The default normalization values outputted by the microscope software, demonstrated in Fig. S6c† in this example, were typically used for analysis.
Many electrospray solutions are prepared using some amount of organic solvent to reduce the surface tension of the spray solution and to help dissolve analytes. The effect of organic composition on droplet size was evaluated by paper spraying a 100 μM solution of rhodamine B in 9:1 methanol:glycerol for 30 ms at a 3.5 ± 0.5 mm tip-to-surface distance. A low concentration of glycerol was used in the spray solvent to help droplets maintain their shape when they landed on the surface. Images of the center and periphery of a paper spray plume were acquired from different parts of the same slide (Fig. 4a and b). Clear differences could be seen in the images. The center of the spray plume contained a wide range of droplet sizes, many of which were larger than 1.5 μm in diameter (Fig. 4c). It is possible that some of the largest droplets in the paper spray plume center were agglomerated, though once again, the diameters measured here still compared well with PDA results, even though the PDA results were acquired using 1:1 water:methanol. In contrast, almost all the droplets at the periphery of the paper spray plume were smaller than 1.5 μm in diameter (Fig. 4d). Interestingly, the largest bin in Fig. 4d contained droplets ranging from ∼0.23 to 0.45 μm in diameter (Fig. 4d arrow). The unexpected height of this bin seems to indicate the presence of a second distribution of sub-200 nm diameter droplets. This would be consistent with PDA measurements of paper spray droplet sizes,32 however, droplets at still smaller sizes would be too small to accurately measure using this method in its current state.
3D SIM was also used to analyze droplets produced by nanoelectrospray ionization. An initial study was performed to evaluate the effect of glycerol concentration on droplet size. Experiments were performed using solutions of 1 mM rhodamine B in three different ratios of methanol and glycerol: 4:1, 1:1, and 1:4. Each solution was loaded into a 5 μm sized nanoelectrospray tip and deposited onto a coverslip from a 3 mm distance using a 20 ms pulse duration. After acquiring images using the different glycerol concentrations, it was possible to see clear differences in droplet sizes (Fig. 5a–c). Smaller droplets were observed with higher concentrations of methanol, and conversely, larger droplets were observed with higher concentrations of glycerol. This makes sense since glycerol has a much higher surface tension than methanol and should produce larger droplets. Droplet size distributions were generated for each solvent composition using 28, 20, and 29 frames for the 4:1, 1:1, and 1:4 methanol:glycerol solvent ratios, respectively. As can be seen, the solution containing a high amount of methanol exhibited a maximum near 300 nm (Fig. 5d) while the solution containing a high glycerol content exhibited a maximum near 870 nm (Fig. 5f). Interestingly, the 1:1 methanol:glycerol solution exhibited a bimodal distribution of droplet diameters with maxima at approximately 195 and 550 nm (Fig. 5e). It is possible that the maximum at 195 nm was the result of progeny droplets created from Coulombic explosion events. However, it should be noted that the experiment is not entirely accurate for droplets smaller than about 200 nm in diameter in its current state, and thus further optimization is needed to fully validate this bimodal effect.
Glycerol was used in these experiments to minimize the effect of droplet evaporation after deposition. A study was performed to test if any significant droplet evaporation occurred over the course of an experiment. In one experiment, the sizes of nanosprayed droplets in one frame were monitored as a function of time while the laser constantly illuminated the droplets (Fig. S7,† blue trace). As can be seen, the average droplet diameter decreased when droplets were constantly exposed to the laser. However, glycerol should not evaporate at room temperature and pressure. This result likely suggests that photobleaching contributes to the degradation of sample intensity during continuous laser illumination. In a second experiment, another time study was performed for nanosprayed droplets, except this time the laser was only turned on during image acquisition (Fig. S7,† red trace). The average droplet diameter in this experiment did not seem to change significantly for 5 minutes, suggesting that the droplets were not greatly affected by photobleaching or solvent evaporation. The second experiment is more representative of how all the experiments presented herein were performed as the laser does not constantly illuminate the entire slide all at once, only a small section. It should be noted that the only data analysis parameters adjusted in these experiments were the normalization values.
Another set of nanoelectrospray ionization experiments was performed to evaluate how the voltage applied to a nanoelectrospray emitter affects droplet size. A 1 mM solution of rhodamine B in 9:1 methanol:glycerol was loaded into a 5 μm nanoelectrospray emitter and sprayed from a 3 mm distance using a 20 ms pulse. The same emitter was used for all voltage experiments. Voltages of 1.5, 2.0, 2.5, and 3.0 kV were tested. Interestingly, the average droplet diameter shrank with increasing voltage (Fig. 6). Droplets produced from a 1.5 kV pulse showed a rather broad distribution centered at about 335 nm (Fig. 6a). As the voltage was increased to 2.0 kV, a bimodal distribution of droplets appeared with maxima a smaller at 227 and a larger maximum at 410 nm (Fig. 6b). Although the maximum at 227 nm is again likely caused by the presence of progeny droplets, the maximum at 410 nm was unexpectedly larger than the maximum obtained for the 1.5 kV experiment. When the voltage was increased to 2.5 kV, the average droplet diameter again decreased and showed maxima of relatively equal heights at 292 and 463 nm (Fig. 6c). A final voltage of 3 kV yielded droplets centered around 220 nm in diameter (Fig. 6d). These results were somewhat unexpected because higher voltages tend to deplete solution more quickly than lower voltages, meaning that flow rate is surely increased with increasing voltage. A flow rate study was conducted using 5, 10, and 20 μm o.d. nanoelectrospray tips and showed that droplet sizes do increase with increasing flow rate (Fig. S8†). However, the set of voltage data shown here seems to suggest that the decrease in droplet size due to higher voltages is more prominent than the increase in droplet size that is gained from an increase in flow rate. The decrease in droplet size can be rationalized by considering that the use of higher voltages allows the surface tension of the solution to be overcome more easily than with lower voltages, which produces smaller initial sized droplets.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c7an01278k |
This journal is © The Royal Society of Chemistry 2018 |