Suhee Kim
a,
Alastair W. Wark
b and
Hye Jin Lee
*a
aDepartment of Chemistry and Green-Nano Materials Research Center, Kyungpook National University, 80 Daehakro, Buk-gu, Daegu-city, 41566, Republic of Korea. E-mail: hyejinlee@knu.ac.kr; Fax: +82 053 950 6330; Tel: +82 053 950 5336
bCentre for Molecular Nanometrology, WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK
First published on 7th November 2016
The use of a simple gel electrophoretic method to study mixtures of differently shaped biofunctionalized nanoparticles (NP's) that undergo bioaffinity interactions is demonstrated. Both gold nanorods (NR's) and quasi-spherical nanoparticles (qNS's) were functionalized with an interacting antigen and antibody pairing (alpha-1 antitrypsin (AAT) protein and antiAAT) or non-interacting antibody controls (antiBNP). Gel-based measurements were accompanied with transmission electron microscopy (TEM) and UV-vis spectroscopy analysis before and after separation. Initial measurements of NR and qNS bioconjugates suspended individually were applied to optimize the gel separation conditions and it was demonstrated that higher particle uniformities could be obtained relative to the initial stock solutions. A series of NR and qNS mixtures prepared at various stoichiometric ratios were then compared for both interacting (antiAAT–AAT) and non-interacting (antiAAT–antiBNP) particle conjugates. Both gel images and extinction measurements were utilized to demonstrate reduced NP concentrations transported along the gel due to bioaffinity-induced NP assembly. This confirmed that gel electrophoresis can be extended to identifying particle aggregation associated with protein bioaffinity interactions as well as being an established tool for separating particles based on size, shape and surface chemistry.
Producing nanoparticle shapes with controlled morphologies is readily achieved via a multi-step seed mediated growth7–10 with perhaps the most widely practiced example being that for gold nanorod synthesis7 along with established routes for other shapes such as nanocubes and polyhedral NP's.8,10 All of these routes will yield different percentages of the targeted shape. Thus, the development of methods to separate colloidal mixtures of nanoparticles based on properties such as shape, size and also surface functionalization has been an important research area for several years.2,11–13 This has led to development of several techniques including density gradient centrifugation,14,15 diafiltration,11 field-flow fractionation,16 and size-exclusion chromatography17 as well as a number of electrophoretic methods.18–21 Capillary electrophoresis (CE) has been successfully applied to the separation of a wide range of nanoparticles based on different migration times under an applied electric field through a narrow glass capillary in the presence of background electrolytes. High-resolution CE separation can be achieved for different NP sizes,22 materials and biomolecular surface modification23 though its application for both higher-throughput analysis and more complex sample matrices remains limited.
In particular, gel electrophoresis (GE) is a widely used and inexpensive separation technique that can be adapted for the characterization of nanoparticle-biomolecular conjugates. GE has been used to confirm bioconjugation of both DNA24,25 and protein molecules to metallic nanoparticles.26–28 Studies involving larger particles (>10 nm) have been restricted to agarose gel rather than polyacrylamide due to the larger pore sizes that can be achieved by lowering the % agarose during the gel preparation.29 Hanauer et al. reported the separation of mixtures of modified poly(ethylene glycol) (PEG) coated metal nanoparticles depending on their size, shape and the charged terminal functional group on the PEG.18 Distinguishable separation between different nanorod and spherical particles was obtained only in a narrow range of experimental conditions depending on the NP surface charge and a low 0.2% agarose gel concentration. Xu et al. utilized a column packed with 4% agarose gel to separate smaller alkanethiol functionalized particles from 5 to 20 nm in size and a 2% gel to separate larger sized rods, spheres and plate structures with the presence of the surfactant sodium dodecyl sulfate (SDS) improving the separation performance.19 Recently, a 2D GE platform (0.8% agarose) has been demonstrated for even higher throughput analysis of PEG-modified gold nanorod samples.30 Most gel-based studies have focused on individual nanoparticles. However, there have been a few studies involving the aggregation of relatively small nanoparticles to confirm the controlled assembly of DNA-functionalised nanoparticles into different aggregate sizes,24,31–33 and no studies that we are aware of for systems involving protein bioaffinity interactions.
In this paper, we demonstrate for the first time that a simple gel electrophoresis method can be used not only for separating inhomogeneous batches of antibody coated gold NPs of different shapes but also for distinguishing between specific interacting antibody and antigen functionalized NRs and qNSs from non-interacting nanoparticle mixtures. The characteristics of the separated NPs using gel electrophoresis were investigated using transmission electron microscopy (TEM) and UV-vis spectrophotometry and the presence of biomolecules conjugated to NP surfaces after electrophoretic separation was additionally verified using an instant blue staining method.
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1 NP ratio) was chosen to promote maximum surface coverage of the nanoparticles as this ratio is significantly greater than the theoretical maximum coverage (e.g. a ∼17 nm diameter area occupied by a single antibody equates to a maximum monolayer of ∼34 antibodies coating a 50 nm qNS particle39). The colloidal solution was then finally washed by centrifuging (6000g, 7 min) and resuspending into PBS buffer (pH 7.4) to remove excess unreacted biomolecules. The attachment of antibodies onto both NRs (red shift in λmax from 753 to 758 nm) and qNSs (red shift in λmax from 528 to 532 nm) was also confirmed using UV-vis spectroscopy. Prior to gel electrophoresis, the biofunctionalized NR and qNs solutions were centrifuged (6000g, 7 min) and resuspended into 1× TBE buffer and 0.1% SDS solution and kept for 3 h at 29 °C, which promotes the NR and qNS surfaces being negatively charged for separation. For bioaffinity interactions, experiments were performed where the NRs and qNSs were immediately mixed upon resuspension in buffer and SDS or first resuspended in buffer and SDS subsequently added.
Stock solutions of both nanorods (NR's) and quasi-spherical gold nanoparticles (qNS's) were both prepared using well-established seed-growth methods.7,8 The synthesis in both cases involves the formation of a CTAB surfactant which was then replaced with a carboxylic acid terminated alkanethiol (11-mercaptodecanoic acid, MUA) layer with repeated washing to remove excess CTAB and promote full MUA monolayer coverage. This was followed by the use of EDC/NHSS cross-linking chemistry to covalently attach AAT, antiAAT or antiBNP (the latter used as a control) to the different nanoparticle surfaces. In particular, AAT is an Alzheimer's disease biomarker with its affinity for the antiAAT used here recently described elsewhere.42 This pairing was selected as a model system for proof-of-principle with antiBNP a non-specific control. As well as being a proven route for surface bioconjugation, this approach was also an attempt to achieve comparable surface charge, biomolecular coverage, and non-specific interaction behaviors for each colloid sample and is the main reason that we used qNS's prepared using a variation of the CTAB chemistry used for the NR synthesis.34 Variation in surface chemistry parameters as well as NP size will affect gel electrophoretic mobility.43
Nanoparticle distributions both in solution and in different regions of gels were analyzed using TEM and extinction spectroscopy. Fig. 2 compares results for the analysis of colloidal solutions of qNS's (a) and NR's (b) before and after electrophoretic separation. In the gel measurements described here colloidal solutions at a concentration of (a) ∼2.6 nM and (b) ∼4 nM, respectively were resuspended in 1× TBE buffer containing 0.1% w/v of the negatively charged SDS surfactant for three hours prior to electrophoretic analysis to promote NP separation. SDS is commonly utilized in DNA and protein electrophoresis to minimize non-specific intermolecular interactions. Attempts involving no surfactant or instead utilizing alternative surfactants, namely DSS and SHS, were unsuccessful as these instead resulted in NP aggregation in the gel loading wells and thus inhibited the separation performance.
The qNS particles described in Fig. 2(a) synthesized typically have a lower yield and a more varied morphology than that associated with the established route for NR synthesis. Both involve CTAB in the growth solution but differ in the initial seed preparation and reactant concentrations. The qNS samples used here had a LSPR maximum at ca. 532 nm following bioconjugation of antiAAT (Fig. 2(a.i)). TEM analysis of the initial stock solution indicated an average size of 53 (±8) nm and a composition of ∼72% quasi-spherical, ∼11% rods, ∼11% triangular prisms and ∼6% of cube-shaped gold nanoparticles, with example images shown in the inset of Fig. 2(a.i and iii). Further TEM images are also shown in the ESI (Fig. S1†). The images of the gel lanes comparing before and after the application of 100 V for 30 min clearly highlights the mobility of the qNS's under an applied potential. The corresponding UV-vis spectra and TEM analysis of the region of the gel lane outlined in Fig. 2(a.iii) both indicate an improvement in the homogeneity of the qNS colloid. In particular, there is a significant drop in extinction at longer wavelengths (>700 nm) that is associated with anisotropic structures and this is further supported by the TEM analysis where the percentage of qNS's rose from 72% to 82%, while other non-spherical shaped NP's also decreased from 28% to 18%.
The colloidal NR-antiAAT bioconjugates featured in Fig. 2(b) had LSPR λmax values at 513 nm and 760 nm for the bulk solution spectrum. A red shift of ∼5 nm was typically observed for the longitudinal LSPR peak following antibody conjugation while the shorter wavelength transverse LSPR peak position is relatively unchanged. From TEM image analysis (additional images are shown in Fig. S2†), the average length and width of the NR's were 45 (±11) nm and 10 (±2) nm respectively. Comparison of the NR colloid before and after separation revealed significant changes. Initial bulk analysis indicated the percentage of rod shapes to be 72%, while the 84% obtained after separation is closer to that typically expected for a high-quality rod sample.7 This is also reflected in the extinction spectra (Fig. 2(b.i and iii)) with the longitudinal LSPR peak actually considerably narrower (full width at half maximum, FWHM, reduced from 192 to 140 nm) and also blue-shifted by 10 nm which, compared to the bulk solution measurement in water, may be due to the drying of the gels prior to spectral analysis as well as no significant NP aggregation. The ratio of longitudinal/transverse LSPR peak intensities is also higher (3.35 vs. 2.33) after separation, which also indicates a higher percentage and uniformity of the NR's within the sampled gel region.
The next experiment performed was to analyze the gel separation of a mixture of non-interacting NR's and qNS's each functionalized with different antibodies: antiAAT and antiBNP respectively. Fig. 3 compares three individual lanes featuring either each individual colloid or where the gel was loaded with a mixture of both NR's and qNS's at a 1
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1 particle ratio. Spectra of the individual colloidal solutions used here and in the following figure are shown in the ESI (Fig. S3†). Also, additional TEM images are shown in the ESI, Fig. S4 (qNS's) and S5† (NR's) which indicate an average diameter of 34 (±7) nm for the qNS's and an average length and width of 46 (±9) nm and 12 (±7) nm for the NR's used here.
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Fig. 3 Analysis of a mixture of non-interacting antiAAT-NR and antiBNP-qNS conjugates. (a) UV-vis spectrum of bulk mixture prepared at a 1 : 1 ratio prior to electrophoresis. (b) Images of individual gel lanes featuring (i) antiAAT-NRs and (ii) antiBNP-qNSs only while the mixture is in lane (iii). Each image was cropped from the same gel and placed side-by-side for clarity, (see also Fig. S7 and S9 in ESI†). The bulk particle concentrations loaded into the gel for qNS's and NR's were 2 nM. (c) Spectra and (d) representative TEM images of colloids from the two regions labeled A and B are also shown. | ||
Comparison of the extinction spectra of the initial mixture of NR's and qNS's in Fig. 3(a) with that in (c) for the separated regions labeled A and B show significant changes. The two different shapes in the non-interacting mixture accumulate in separate regions in the gel lane, (iii) with the smaller volume NR's traveling further. The distinct separation of the two particle shapes compares favorably with previous literature reports. For example, Hanauer et al.18 show almost overlapping GE bands following separation between spheres and rods similar in size to that applied here. Key differences are that in our case, the NP's had to be preincubated with 0.1% SDS for up to 3 hours prior to analysis to achieve good separation while the earlier work utilized PEG-COOH modified NP's. In addition performance optimization was obtained here with a 1.5% agarose gel compared previously to a 0.2% gel. These differences highlight the interplay between the surface functionalization of the NP surface, gel pore size and variable strength of the gel–NP interaction likely to occur at different pore sizes. The spectra of the gel regions in Fig. 3(c) also show the same trends as for Fig. 2 with both the NR's and qNS's showing a peak blue shift compared to the respective solution spectra prior to electrophoretic analysis.
Further control experiments are shown in the ESI† focusing on the qNS's at different steps of the biofunctionalization process (Fig. S6†) and also comparing a nanoparticle mixture against a molecular protein ladder (Fig. S7†). In the absence of any surface modification, the NP's completely aggregate and remain within the lane loading well. This also applies to stock NR's with the original CTAB surface chemistry. As a result, no particle separation could be achieved reproducibly without further surface modification with alkanethiol/proteins. In the cases where the surrounding layer around the qNS's is MUA as well as after EDC/NHSS incubation, AAT or antiAAT conjugation, there is not a significant difference in the gel path length travelled. However, there are differences in the particle distribution along each lane looking at where the color indicates the highest concentration of particles. This supports that the changes in NP morphology lead to a larger difference in particle separation than each of the surface chemistries used here, which is expected as our measurements were performed in the presence of SDS. However, it has been previously shown that the particle surface charge is relatively more important for smaller NP's.18 The protein ladder (7 to 240 kDa) shown in lane (iv) in Fig. S7† also highlights that the gel conditions are unsuitable for molecular protein separation.
To investigate the application of gel electrophoresis for assessing interacting nanoparticle systems, a colloidal solution of qNS's functionalized with AAT protein was mixed with a solution of NR's conjugated to antiAAT. Fig. 4(a) shows the results where the interacting NR
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qNS ratio was varied from 9
:
1 to 1
:
9, with Fig. 4(b) containing the results for a repeat set of measurements instead featuring non-interacting mixtures of NR-antiAAT and qNS-antiBNP conjugates prepared at the same ratios. In each case, the colloids were resuspended in 1× TBE buffer and 0.1% SDS and then immediately mixed in different ratios for a period of 3 hours prior to loading into each gel lane. Because the presence of SDS was found to be needed to promote good nanoparticle separation, additional control measurements were performed. Firstly, time-dependent changes in the extinction spectra of a 5
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5 colloidal mixture in the absence of SDS clearly show (see Fig. S8, ESI†) dampening and shifting of the two dominant LSPR peaks within the mixture as particle assembly occurs. Additional experiments in Fig. S9† demonstrate that the presence of SDS does not impede the bioaffinity interaction, with the data also indicating that the SDS adsorption kinetics onto the NP surface is significantly slower than the bioaffinity-induced nanoparticle assembly.
The bulk solution spectra in Fig. 4(a.i) were acquired immediately after mixing colloidal mixtures at each NP ratio. Initial comparison of Fig. 4(b.i and ii) clearly show that for the 5
:
5 colloidal mixture significant NP aggregation means that there is negligible travel of particles along the middle gel lane. Further differences between (a) and (b) can be found by comparing the spectral analysis of the highlighted gel regions associated with qNS's (region A) and NR's (region B). Both the bulk and gel-based spectra follow the same general trends with the LSPR peaks at 532 nm and 757 nm changing expectedly with particle concentration ratio. For the 9
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1 and 7
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3 regions in (a), the NR LSPR peak intensities at 757 nm are ∼26% and ∼33% lower than the controls in (b). Similarly, for the qNS peak at 532 nm the 1
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9 and 3
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7 intensities are ∼20% and ∼28% lower in (a) than the controls in (b). These results are consistent with a drop in NP concentration in the highlighted regions associated with nanoparticle aggregation occurring. This simple methodology of utilizing different particle ratios and comparing against controls clearly demonstrates the presence of sub-populations of interacting nanoparticles that will be of value for future studies of more complicated mixtures featuring differently sized and surface functionalized particle systems.
Footnote |
| † Electronic supplementary information (ESI) available. See DOI: 10.1039/c6ra23948j |
| This journal is © The Royal Society of Chemistry 2016 |