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3 Topographic Properties ofPEGylated Nanocarriers
Fig. 3.12 Elemental analysis of SSNs and PEG-SSNs by EDX. (a) EDX spectrum of SSNs, (b) weight and atomic percentage of SSNs, (c) EDX spectrum of PEG-SSNs, and (d) weight and atomic percentage of PEG-SSNs. (Figure adapted with permission from Karim and Chowdhury (2022) under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/))
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3.8 Mass Spectroscopy (MS)

Mass spectroscopy (MS) can be used for the quantitative analysis of the structure of nanocarriers. When a sample is ionized, it degrades into fragments which can be analyzed based on the differences in atomic masses. As discussed below, there are several common mass spectroscopic techniques that can be used to probe critical topographic information of nanocarriers.
Secondary ion mass spectroscopy (SIMS) is a technique that can provide infor­mation about the polymer surface structure and composition. Due to its smaller sampling depth, SIMS provides high spectral resolution. The sample is bombarded by an ion beam at a low current density, and secondary ions are sputtered from the surface in response. Low beam density is important to ensure the topography of the carriers is not damaged or altered. The sputtered ions are analyzed by a mass ana­lyzer and the distribution of the molecules on the surface can be ascertained.
In time-of-ight secondary ion mass spectroscopy (TOF–SIMS), the mass of the ions can be determined using time-of-ight. TOF–SIMS is a highly sensitive chemi­cal analysis technique that can be used to investigate the topmost layer of the poly­meric surface (~5 nm). As the resulting mass spectrum is of a high resolution,
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detailed information at the molecular level can be acquired at detection limits as low as ppb–ppm. These benets make TOF–SIMS a more attractive technique com­pared to other spectroscopic methods like XPS and AES. Matrix-assisted laser desorption/ionization (MALDI) is a method employed in mass spectrometry wherein a high-energy laser is used for sample desorption and ionization. MALDI­TOF MS provides relatively better estimates of dispersity. In addition to topographi­cal properties, MALDI can also be used to determine the size of the nanocarrier.
Sample preparation methods vary based on the specic mass spectroscopic tech­nique and application. Typically, colloidal dispersions or lyophilized powder can be used with minimal processing. As the mass analyzer tends to be very sensitive, samples should be devoid of all contaminants. To achieve this, high-purity solvents are required, and wearing silicone-free gloves is recommended while handling the samples and operating the instrument.
Though mass spectroscopy enables topographic characterization at a high reso­lution, it suffers from a few limitations. The main drawback of SIMS is that it is not amenable to quantitative analysis. TOF–SIMS requires the sample to be dry and the analysis can only be performed in high vacuum. Before drying, care should also be taken to ensure the solvent is free of any salts. Its high sensitivity can also be a shortcoming if the sample surface has contaminants. Samples should therefore be handled and processed very carefully. As with SIMS, quantitative analysis may be challenging due to the matrix effect (dependence of secondary ion emission on the sample matrix). Even though high-depth resolution is possible, the lateral resolution is relatively low (~50nm). If the ion beam is at a high current density, the sample surface will be damaged resulting in poor data interpretation. Due to these reasons, advanced mass spectroscopic techniques like TOF–SIMS and MALDI need highly trained users.
3.8.1 Application inPEGylated Nanocarriers
Hinterwirth and coworkers synthesized PEGylated gold nanoparticles with different PEG chain lengths. PEGylation was achieved through thiol-based conjugation and surface coverage by PEG was determined using inductively coupled plasma mass spectrometry (ICP-MS). The results were also compared with a lipophilic thiol ligand. The authors reported a novel gold-to-sulfur ratio measurement that could not only estimate the surface PEG density but also predicted the impact of chain length and nanoparticle size on the stability induced by Van der Waals interactions (Hinterwirth etal. 2013).
In a similar report, Sebby etal. modied 10 nm and 30 nm gold nanoparticles with uorescently labeled PEG.The authors determined PEG surface coverage for nanoparticles conjugated through thiolate as well as lipoic acid-based linkers. While thermogravimetric analysis was the primary technique used for analysis, MALDI­TOF- MS was utilized for the determination of molecular weights of the PEG deriv­atives. Figure 3.13 shows the Gaussian curve ts for lipoic acid-PEG-amine (LA-PEG-NH3) and Thiol-PEG-FITC (HS-PEG-FITC). The estimates obtained
3 Topographic Properties ofPEGylated Nanocarriers
Fig. 3.13 MALDI-TOF-MS data (solid, black lines) with Gaussian ts (red, dashed lines) for (a) HS-PEG-FITC and (b) LA-PEG-NH3. (Figure adapted with permission from Sebby and Manseld (2015) Copyright © 2015, Springer Nature)
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Fig. 3.14 MALDI-TOF-MS data for the naked aptamer and PEGylated aptamer. Figure adapted with permission from Ara et al. (2014) Copyright © 2014 Elsevier Ltd.)
from the Gaussian ts were 3900g/mol and 3850g/mol, respectively, and were in close agreement with the manufacturer’s specications of 3400g/mol (Sebby and Manseld 2015). This work illustrates how mass spectroscopy can complement other surface analysis techniques to deduce critical topographical information about nanocarriers.
MALDI-TOF-MS can also be used to monitor the PEG conjugation process. Ara and colleagues developed PEGylated liposomes that were also modied with an aptamer to endow the nanocarrier with a targeting functionality. As shown in Fig.3.14, MALDI-TOF-MS was employed to conrm the PEGylation of nanocar­riers (Ara et al. 2014). Hence, mass spectroscopy can detect small changes in
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molecular weights enabling the detection and monitoring of the PEG conjugation process.

3.9 Thermogravimetric Analysis

Thermogravimetric analysis (TGA) is based on the principle of loss in the mass of the sample upon heating it to controlled elevated temperatures. The components of the nanocarrier degrade and vaporize at different temperatures. A thermally iso­lated, sensitive weighing balance and temperature-tunable furnace are part of the apparatus. The relationship between mass and temperature is plotted as a decompo­sition curve. Oxidation temperature and loss of mass are detected and the residual mass, which includes inorganic components of the nanocarriers, residual metals, and other sample impurities, can be obtained. An IR spectrometer can be combined with TGA to identify and analyze gases produced during thermal decomposition.
The main advantages of TGA include the precise quantication in a wide detec­tion range, fast, and reliable analysis. In the context of PEGylated nanocarriers, TGA can be used to characterize the surface and determine the purity. TGA can also be used to determine the PEG surface density of nanoparticles by calculating the degradation of PEG in the temperature range of 300–450°C.The mass fraction of the organic components can be obtained at a precision as high as 10−4 (Corbierre etal. 2004).
TGA analysis does not involve cumbersome sample preparation except for dry­ing. However, the sample requirement can be relatively high, in the order of several milligrams. This poses a serious limitation when the sample quantity is limited. It is therefore recommended to combine TGA with other analytical tools to characterize the topography. To improve the sensitivity of thermogravimetric analysis for smaller sample amounts, an improved microscale method has been developed that provides comparable results at sample amounts three orders of magnitude less than the requirement for the conventional TGA method (Manseld etal. 2014).
3.9.1 Application inPEGylated Nanocarriers
Manseld etal. used a micro thermogravimetric analysis (μ-TGA) method to char­acterize PEGylated silica nanoparticles. The authors were able to conrm the pres­ence of PEG and quantify surface-bound PEG content. The effectiveness of the developed microscale technique was veried by comparing it with the conventional TGA method. Figure3.15 shows the thermogram for SiO2–PEG nanoparticles. The decline in mass above 100°C is due to the decomposition of surface PEG chains. Above 500°C, mass increases due to the oxidation of silica nanoparticles. This method quantied a mass change of 31.79% (blue line) compared to 34.1% by con­ventional TGA measurement (red line) (Manseld etal. 2014).
Maccarini etal. used several analytical techniques including TGA to characterize gold nanoparticles derivatized with thiolated PEG.The authors were able to detect
3 Topographic Properties ofPEGylated Nanocarriers
Fig. 3.15 Mass % versus temperature thermogram of SiO2PEG (n=25) nanoparticle samples evaluated using μ-TGA (red) as compared to a conventional TGA measurement (blue). (Figure adapted with permission from Manseld et al. (2014) Copyright © 2014, American Chemical Society)
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PEG chain terminations at the water interface and obtain information about the hydrated structure of PEGylated nanocarriers. TGA could precisely determine the gold to polymer ratio in desiccated samples (Maccarini etal. 2010).

3.10 Differential Scanning Calorimetry

Differential scanning calorimetry (DSC) is a thermal analysis method that measures heat ows associated with transitions in materials. The transitions can include phys­ical or chemical changes that result in a change in the heat capacity of the material. Sample temperature may change due to several events like solvent loss, phase tran­sition, or thermal decomposition. To monitor such processes, DSC allows for a very wide temperature range from 60°C to greater than 1500°C.
DSC can be run on two modes—power compensation and heat ux. In the power compensation mode, the sample and an inert reference material are maintained at the same temperature. The instrument records the amount of heat needed to increase the temperature of each as a function of temperature. The heat capacity of the sam­ple relative to the reference is equivalent to the energy required to maintain both at an equal temperature. Here, enthalpy change is expressed as energy per unit time and is plotted against time. In the heat ux mode, the analyte and reference are assembled in a single furnace system. Changes in enthalpy of the sample result in a
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temperature difference between the sample and reference. The subsequent ow of heat that brings the system to a thermal equilibrium can be correlated with tempera­ture changes. This relationship is established through a calibration curve prior to sample analysis.
DSC can be used to determine the phase transition points for melting and crystal­lization. Latent heat capacity and the heat of fusion may also be ascertained. For polymeric nanoparticles, DSC may be used to investigate the molecular interactions between the drug and PEG chains upon PEGylation. Differences in the glass transi­tion temperature (Tg) can point to changes in the topography of the nanocarriers as well as the crystalline state of the encapsulated drug. The main advantage of DSC is its very low sample requirement (a few milligrams), and the determination of weak phase transitions can be fairly accurate.
Solid and liquid samples can be analyzed by DSC.To improve the peak sharp­ness and resolution of the thermogram, the contact surface between the sample and the crucible should be maximized. This ensures low resistance to heat ow through the system. For solid samples, a thin lm or ne powder spread at the bottom of the crucible is ideal. It is important to note that there are no interactions between the sample and the crucible. Even though the measurement requires a very small amount of sample, DSC is a destructive analysis technique. There are also limitations with respect to volatile samples which pose difculties due to evaporation during sample preparation. Increased resolution may be achieved at the cost of sensitivity and vice versa. As a topographical characterization tool, DSC does not provide direct struc­tural information. However, thermal transitions may be indicative of structural changes.
3.10.1 Application inPEGylated Nanocarriers
Essa etal. developed poly(, -lactide) (PLA) based polymeric nanocarriers that were PEGylated in two ways—grafted on the surface as 7%PEG-g-PLA and as a multiblock copolymer (PLA–PEG–PLA)n. Both formulations had a similar PEG insertion ratio and chain lengths. The effect of PEGylation on the thermal properties of both types of nanocarriers was evaluated using DSC.Pure PLA was measured to have a Tg of 46.4 °C. As seen in Fig. 3.16, PEG-grafted formulation showed an increase in Tg of ~7°C (a) that was attributed to increased chain rigidity. On the other hand, the multiblock copolymer formulation showed a lower Tg value of 39°C (b). This could be due to the higher PEG content of 8.9mol% and comparatively lower molecular weight. The authors inferred this result to also be indicative of a fraction of PEG chains being present inside the PLA core of the nanoparticles. Furthermore, the interaction between the loaded drug and polymeric matrix was also investigated from the DSC thermograms. As shown in Fig.3.16a, pure ibupro­fen has an endothermic peak at 78°C, whereas the melting endotherm of the drug as a physical mixture with PEG-grafted polymer dropped to 74°C. This shift in peak could be due to weak interactions between ibuprofen and the polymers. The
3 Topographic Properties ofPEGylated Nanocarriers
Fig. 3.16 DSC curves of ibuprofen (solid line), (a) physical mixture of PEG7%-g-PLA with ibuprofen (dashed pink line), PEG7%-g-PLA polymer (dotted line), and ibuprofen-loaded NPs (dash-dotted line); (b) physical mixture of (PLA–PEG–PLA)n with ibuprofen (dashed pink line), (PLA–PEG–PLA)n polymer (dotted line), and ibuprofen-loaded NPs (dash-dotted line). (Figure adapted with permission from Essa et al. (2010) Copyright © 2010 Elsevier)
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authors also used DSC to demonstrate that the drug exists in a crystalline state in both formulations (Essa etal. 2010).
As discussed previously, Rabanel et al. synthesized PEGylated polymeric nanoparticles in the “brush” conformation. The authors found that the Tg of PEG-g­PLA polymers had a strong dependence on the concentration of PEG.Compared to the bulk polymer, the lyophilized nanocarriers showed a very distinct thermogram. In PEG-g-PLA polymers, the presence of PEG was conrmed by a PEG fusion endotherm and a reduction in Tg. However, with an increase in the PEG content, there was no further change in the glass transition temperature. These results were also corroborated by NMR and XPS analyses (Rabanel etal. 2015).

3.11 Atomic Force Microscopy

Atomic force microscopy (AFM) is a robust scanning probe microscopy technique that is based on the determination of interaction forces between the sample and a probe. The ne probe of the AFM is coupled to a cantilever that can retrace the topography of the sample. As the probe traverses the sample surface, there is a repulsion between the tip and the sample. A constant force is maintained between the sample and the tip which causes deection of the cantilever. The movements of the cantilever are supported by a piezoelectric scanner. A laser beam captures the degree of bending of the cantilever which correlates with the variation in the reected beam. This variation is detected by a photodiode, and along with the
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rigidity of the cantilever, the interaction force and height of the surface can be quantied.
AFM can be operated on three modes based on contact between sample and probe: contact, noncontact, and tapping modes. Contact mode is accompanied by strong lateral forces and this can potentially distort the sample surface and may also damage the probe. The intermittent contact (tapping) mode, most commonly used for nanoparticle characterization, is sensitive to the amplitude of the oscillating tip and is hence also referred to as the oscillating mode. In the tapping mode, oscilla­tion amplitudes can be typically close to 200nm compared to ~10nm in the non­contact mode. For sensitive samples that are susceptible to contact by the pointed probe, noncontact mode is ideal.
AFM can be used to generate magnied 3-D images of the surface topography at a very high resolution (~nm). High resolution is possible due to its wide surface scanning range, the sensitivity of the piezoelectric crystal, and the nanometric size of the probe. The resolution is not only similar to that obtained with SEM and TEM, but AFM is also a less-expensive technique that can be easily installed while requir­ing a low footprint in the laboratory. Surface morphology, including the shape and size of nanoparticles, can be determined precisely. AFM is frequently combined with other spectroscopic techniques like FTIR and TOF–SIMS to improve spatial resolution and enable the detection of elemental composition, respectively. AFM is also one of a few available techniques that can be used to determine the surface texture and roughness of nanomaterials. AFM can also be used to investigate ther­mal and magnetic interactions if the probe is functionalized based on the application.
Samples can be imaged directly without any surface modication, and measure­ment is possible in any environment—gas, liquid, or vacuum. However, the sample must be stably immobilized on an inert substrate to enable accurate determination of the morphology. The concentration of colloidal dispersions should also be opti­mized to prevent the formation of aggregates which adversely affect the topographi­cal analysis. Factors like tip curvature radius and surface properties of the material affect the measured topological properties. Particle characterization results may be difcult to interpret if tip artifacts are not dealt with appropriately.
Even though AFM is a powerful topographical characterization tool, it suffers from several limitations. Its high-resolution images require signicantly longer scan times compared to electron microscopic techniques. If multiple samples need to be tested, the low throughput of this method causes further delays in measurement. Properties of the probe tip like shape and curvature can complicate measurements and interpretation of results.
3.11.1 Application inPEGylated Nanocarriers
Backmann and coworkers reported a microcantilever-based sensor that was used to characterize the conformation of PEG chains grafted on a gold surface. The authors investigated two solvent conditions—PBS and 20% 2-propanol, by AFM imaging and force–distance curve measurements. Figure3.17 shows that the PEG chains are
3 Topographic Properties ofPEGylated Nanocarriers
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Fig. 3.17 Representative force curves obtained by approaching the AFM tip to the Au surface grafted with 20 kDa mPEG–SH immersed in PBS (black squares) and 20% 2-propanol (gray squares). (Figure adapted with permission from Backmann et al. (2010) under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0))
in a “brush” conguration when immersed in PBS (black squares). When the tip– sample distance (D)=0, we are in the region of “hardwall repulsion.” As D increases to ~25nm, the long-range repulsive force decays exponentially indicating the char­acteristic repulsive forces of a polymer brush. However, when the solvent was switched to 20% 2-propanol (gray squares), the long-range repulsion disappeared and a weak repulsion was observed at ~5nm. Here, the PEG monolayer was in a “collapsed” state. The authors further investigated the solvent effect by acquiring images at varying contact imaging forces. Their observations corroborated the results of the force measurements and the authors concluded that grafted PEG monolayers reversibly change their conformation when exposed to “good” and “bad” solvents (Backmann etal. 2010).
Shilpa Sant and colleagues developed multiple types of PEGylated nanoparticles with PEG grafted on the surface or as a constituent of a copolymer matrix. All nano­carriers were characterized for their surface morphology using AFM.The authors found that the PEG content was comparatively lower for the multiblock copolymer. This was attributed to some chains that may have interpenetrated inside the nanopar­ticle core. Figure 3.18 shows AFM phase images (lower panel) and topography
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Fig. 3.18 Tapping mode AFM images of NPs: topography (upper panel) and phase images (lower panel). PLA (a), PEG1%-g-PLA (b), PEG5%-g-PLA (c), and PLA–PEG–PLA)n (d). (Figure adapted with permission from Sant et al. (2008) Copyright © 2008 Wiley Periodicals, Inc.)
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(upper panel) for both types of PEGylated nanocarriers. As seen in the lower panel, sharp phase contrast was observed on all nanocarriers that were PEGylated. The authors suggested this could be due to PVA coating on PLA on non-PEGylated particles. However, PVA did not adsorb on hydrophilic PEGylated particles thereby leading to a sharper contrast (Sant etal. 2008).
Essa etal. studied the effect of PEG surface PEG density of PEG-g-PLA nanopar­ticles on their physicochemical and biological properties including protein binding and macrophage uptake. AFM was used to study the morphology of nanocarriers pre- and post-lyophilization. Figure3.19 shows AFM images (surface morphology on the left and phase image on the right) of these nanocarriers encapsulated with rhodamine B.Before lyophilization, nanoparticles were spherical in shape, whereas aggregates were observed after lyophilization. The authors also determined the sur­face chemistry of the particles and conrmed the presence of PEG monolayers at the surface of nanoparticles (Essa etal. 2011).

3.12 Scanning Electron Microscopy

Scanning electron microscopy (SEM) is an electron microscopy technique wherein the sample surface is scanned by a focused electron beam to produce a 3-D topo­graphic image. The primary electron beam, collimated through a probe, hits the sample to generate X-rays and secondary electrons which are collected by detectors. Although it is run at low voltages of 500V to 30kV, SEM can produce images of 10–20nm particles at a high resolution. SEM is a very useful tool to characterize the morphology and structure of nanoparticles. Combining it with spectroscopic tech­niques like EDX can provide the elemental composition of the sample surface. In