Ehsan Koushki*
Department of Physics, Hakim Sabzevari University, Sabzevar, 96179-76487, Iran. E-mail: ehsan.koushki@hsu.ac.ir; ehsan.koushki@yahoo.com
First published on 2nd July 2021
The problem of functionalizing and coating nanoparticles with surfactants dispersed in a colloid is a prevalent case in nanoscience and related studies. It is known that surfactants could easily cause a shift in the absorption peak in metallic nanoparticles (NPs). Here, a precise theoretical model is presented to simulate the ultraviolet-visible (UV-vis) absorption spectrum of a colloid containing gold nanoparticles (Au NPs) in the presence of different surfactants. Based on the Lorentz–Drude model, this model is able to justify the fact that surfactants with a higher refractive index lead to movement of the absorption peak toward longer wavelengths (red shift). Also, relative concentrations of agents in a solvent can be analyzed using this model. The presented descriptive model illustrates gold-based biosensors with a physical point of view that leads to an increase in their efficiency. Several experimental cases are considered and are examined to calculate and compare the refractive index of the surfactants. In accordance with the results, it is found that this model is compatible with a wide range of molecular sizes, and here, the model is applied for a typical size range of micromolecules such as citrate ions to macromolecules such as polyethylene glycol (PEG) as a polyether. The suggested method revealed that it is appropriate for different surfactants with various chemical structures and refractive indexes. Utilization of approximations in this theoretical model is limited, thus, a method with the least deviation from real measurements has been introduced. The applicability of this model can be extended to practical purposes, including optical bio-sensors and detectors of organic and biological moieties such as viruses and antibodies.
On the other hand, conductive particles such as noble metallic particles have attracted much consideration due to their high density of free electrons and the surface plasmon resonance (SPR).10,11 The Lorentz–Drude model is accepted as a relatively good classical model for describing SPR in noble metallic particles and gives the complex value of electrical permittivity.12,13 Besides, the quantum mechanics definition of free electrons confined in a spherical potential well is helpful to understand the optical properties and resonance frequencies of conductive NPs.14
The models, as mentioned earlier, are focused on the optical properties of individual particles, while the collective behavior of an ensemble of particles has not been considered yet. Numerous literatures have been published to investigate the dependency of the optical permittivity of the individual particles with the optical coefficients of the host material.15–17 In these works, relations between the microscopic properties of the individual particles and the macroscopic optical properties of the colloid were derived. The most common models in this field are Maxwell Garnett and Bruggeman formalism.15–17 Reports show that the theories based on microscopic permittivity are more compatible with nanocolloids.18,19 In 2014, we presented a model to describe the optical properties of homogeneous nanocomposites based on Maxwell's equations.20 Subsequently, in 2017, this method was used in a numerical procedure to simulate the optical spectrum and dispersion curves of gold and silver nanocolloids.21 Theoretical results showed that the SPR peak related to gold NPs in a colloid is ultimately at 518 nm, but, at experiments, the peak was found to be in the range of about 520–530 nm.22,23 In many papers, this shift is considered as the gauge for detecting an agent such as drugs,24 viruses,25 and DNA.26
It is well-known that the peak of SPR of spherical particles can be adjusted by size and refractive index (which depends on polarizability) of the medium, which surrounds the particles. The size effect applies a boundary condition, which reduces the mean free path of the electrons and is studied in ref. 21, 27 and 28. The polarizability of the surrounding medium contains both the host medium and the surrounding agents that lead to forming a dielectric shell around the particle. The “surface-active agents” including biological ligands, alkyl chains, polymers, and other surface-active molecules, are named surfactants.29 Recent studies show that the effect of surfactants on the optical properties of NPs is not less than NPS themselves.29,30 Moreover, NPs decorated with surfactants have been noticed due to their applicability for diversified practical purposes such as medical, cleaning, purification, energy, and catalysis.31,32 Also, surfactants are the main factor in dispersing the particles and making a stable colloid.33
In previous works, some mechanisms have been introduced to specify how surfactants affect the SPR peak of noble metal NPs. On one hand, the electric field of the incident light displace the electrons from the equilibrium state and create a restoring force that leads to oscillatory motion of the electrons with a specific frequency. On the other hand, these oscillating charge carriers induce a temporary opposite polarization in the surrounding medium, which reduces the restoring force and consequently the frequency of SPR.34 It means a red shift in the absorption peak toward longer wavelengths (red shift) can occur. Recently, we utilized Au NPs to measure the concentration of glucose in human saliva and found that the best results can be obtained by using particles with the size of 10–13 nm.35
In this study, a theoretical formulation is suggested to interpret the red shift in the UV-visible spectrum. In addition, a detailed study with a physical viewpoint is presented, and results are found to be dependent on the thickness and the permittivity of the surfactants around the particles. The surfactant effects on the SPR peak are analytically described, and a simple and applicable method to find the electrical permittivity of the surfactant around the particle is offered. In other words, by using this theoretical technique, one can find the optical properties of the surfactant around the particles, which is significantly important in the characterization of the type of agents bounded to the NPs. The results were well-matched for a wide range of molecular sizes and were applied here, from micromolecules such as citrate ions to macromolecules such as polyethylene glycol (PEG). No limitation was observed due to the molecular size changes according to this theory, but the results with excess accuracy were achieved when the size of the components got bigger, components such as carbohydrate polymers. Also, the microscopic viewpoint was employed for describing electrical permittivity which its validity is widely accepted.
Here, we use an assumption to find the effective permittivity of a nanoparticle embedded in a dielectric shell. As we look for the UV-vis spectrum of the system, the wavelength of the applied electromagnetic field is so longer than particle size, and we can study the system through quasi-static approximation.36 Consider a spherical particle wrapped by a dielectric shell as shown in Fig. 1 (right), and for a typical example, we consider a corona-like shell made of citrate ions (as usually happens during reduction method) as shown in Fig. 1 (left); it can be replaced by any other organic or biological molecules. An electric field E0ẑ is applied to the system in the host matrix.
Solving the Laplace equation for the electric potential leads to the following potential in the host medium (medium 3):
(1) |
As the particle gets a net charge, an inverse square term is added to the right-hand side, which doesn't play a role in continues. Comparing eqn (1) to the electric potential of a dipole with the moment electric dipole p:
(2) |
It should be noted that where the particle size is shorter enough than the wavelength, quadrupole and higher orders cannot be created.34 Now we consider the surfactant and the decorated particle are unique particles with the effective permittivity of ε12.
(3) |
One could write the effective permittivity of the coated particle as:
(4) |
Using the following definitions;
(5) |
(6) |
(7) |
(8) |
Now, we consider the core particle is not an ideal dielectric particle, and subsequently, its permittivity is a complex number and obeys the Lorentz–Drude (LD) model:21
(9) |
(10) |
Parameter | Au | Parameter | Au |
---|---|---|---|
vF × 106 (m s−1)21,28 | 1.4 | f3 | 0.071 |
ωP (eV) | 9.03 | γ3 (eV) | 0.870 |
f0 | 0.760 | ω3 (eV) | 2.969 |
γ0 (eV) | 0.053 | f4 | 0.601 |
f1 | 0.024 | γ4 (eV) | 2.494 |
γ1 (eV) | 0.241 | ω4 (eV) | 4.304 |
ω1 (eV) | 0.415 | f5 | 4.384 |
f2 | 0.010 | γ5 (eV) | 2.214 |
γ2 (eV) | 0.345 | ω5 (eV) | 13.32 |
ω2 (eV) | 0.830 |
It also makes some presented parameters complex:
(11) |
(12) |
(13) |
(14) |
Finally, the dielectric constant and optical dispersion relations of the nanocolloid could be obtained in terms of the individual NPs properties. Real and imaginary parts of effective dielectric constant of the colloid (composite) colloid are given by:21
(15) |
(16) |
(17) |
(18) |
(19) |
These equations give all of the optical spectral behavior of a particle coated by a dielectric surfactant. This model can be useful to find the permittivity and optical properties of the surrounding agents and surfactants embedding a conductive or semiconductor nanoparticle using a simple numerical curve fitting.
Dynamic light scattering (DLS) analysis has been carried out by a Malvern Zetasizer 3000, and indicated formation of particles with the mean diameter of 11.7 nm (Fig. 2).
Transmission electron microscopy (TEM) was performed on a Philips CM120 with the magnification of 200 K. To monitor the morphology of Au NPs by TEM, the colloid was dispersed in ethanol using ultrasonic for 15 minutes, and a drop of the dispersed Au NPs in ethanol was poured on a carbon-coated copper grid and dried under an IR lamp, followed by inspection in the TEM device. TEM image is shown in Fig. 3a, and the size distribution of the particles was calculated via ImageJ software that shows the formation of particles with the mean Feret diameter of 8 nm NPs (Fig. 3b).35 The difference between DLS and TEM size distributions comes from the fact that DLS measures the hydrodynamic diameter of the particles that contain the surrounding agents and surfactants, but TEM gives only the Feret diameter of the particles.41–43 The colloid exhibited great stability, and no aggregation was observed even after several weeks. As we know, the created corona is composed of citrate ions.40
Fig. 4a shows the effect of the optical property of the surfactant on the SPR peak of gold nanocolloid in the UV-vis spectrum. Increasing the refractive index of the surrounding surfactant shifts the peak to higher values. Also, increasing the diameter of the shell with a higher refractive index than the solvent can shift the peak to longer wavelengths, as depicted in Fig. 4b. In Fig. 4, the lowest curves in both the figures are the case that there is no surfactant.
Here, we can extract an important result. By investigating the trend of dependency of the SPR peak on the size of the particle, it has been reached a saturated value. It means that the sensitivity of the SPR peak to the size of the particle is high enough for thin layers of surfactants that contain microstructures. Therefore, the SPR peak position depends on both the radius and type of the agents. But for the macromolecules that form a thick surfactant layer around the particle, the changes of the SPR peak rather depend on the refractive index of the agents. This method is more straightforward for sensing macromolecules. As another important result, the width and broadening of the peak of absorption depend highly on the refractive index and thickness of agents and have a direct relationship with them. Fig. 5 shows SPR peak position versus refractive index and corona diameter.
As shown in Fig. 6, by increasing 2a, an irregular decrease appears at the red-shift of the peak. It seems that the ratio of a/b and also the refractive index n2 are the main factors to efficient red-shift.
Fig. 6 Theoretical curves of UV-visible spectra of gold nanocolloids with 2b = 30 nm, n2 = 1.5, n3 = 1.33 (water) and different values of 2a. |
In Fig. 7, a colloid of Au NPs was considered that are coated with different thicknesses of thin coating layers. As shown, by a very small increase of a/b, meaningful red-shift can be detected. It might be very important for scientists who wish to study the impact of much smaller additives e.g., anions on the optical properties of Au NPs.44
Fig. 7 Theoretical curves of UV-visible spectra of gold nanocolloids with 2a = 10 nm, n2 = 1.5, n3 = 1.33 (water) and different values of 2b. |
In Fig. 8, results were repeated for bigger nanoparticles (2b = 30 nm) which confirms the previous results. The refractive index of the agents was changed from 1.35 to 1.65 which is the common range of the refractive index of liquids and solvents. Based on our knowledge, the refractive index of transparent materials is below 1.7 for liquids, 2 for solids, and refractive indexes near 2 are very rare so that the highest refractive index belongs to diamond which is 2.4.
Fig. 8 Theoretical curves of UV-visible spectra of gold nanocolloids with 2a = 10 nm, 2b = 30 nm, n3 = 1.33 (water) and different values of n2. |
The color of the synthesized colloid (part 2-2) was ruby, and the UV-visible spectrum is offered in Fig. 9 (Experimental). Spectrum was recorded on a UV-vis Array Spectrophotometer (PhotonixAr 2015) in the range of 300–800 nm. The SPR peak at 529 nm indicates the formation of Au NPs.
Fig. 9 Experimental and theoretical curves of UV-visible absorption of gold NPs (with n2 = 1.5, n2 = 1.33). |
Fig. 9 shows the theoretical prediction of the SPR peak position based on the presented numerical method (red-dashed line) and experimental results (blue-solid line). Both peaks emerged at 529 nm, which confirms the great accuracy and considerable validity of this method with the least deviation from real measurements. To fit experimental data with numerical curves, using the mentioned Fortran 90 code, the refractive index was changed so much until the best fit with the experimental graphs and especially the best equation at the peak of SPR was obtained. The solvent is considered water (n2 = 1.33) in the code. In the fitted curve, volume fraction and n2 were selected 2.94 × 10−7 and 1.5, respectively. The value of volume fraction adjusts the height of the curves.
Below 470 nm, the experimental curve exceeds the numerical one. It can be attributed to the scattering of shorter wavelengths by the particles in this region. However, this phenomenon occurs below 470 nm where is far from the SPR (520–530 nm), which is focused on in this study.
This model was applied for some other samples whose details have been reported in previous articles.24,45–48 In Table 2, the refractive index of the coating shell (n2) is obtained for the samples. The near values of the refractive index of citrate ions (in cases 1, 2, 6, and 8) can be assigned to considerable validity of this method.
Capping agents | Feret diameters diameter of the particle (TEM) 2a (nm) | Hydrodynamics diameter (DLS) 2b (nm) | Peak of SPR (UV-visible) (nm) | The calculated refractive index of coating shell (n2) | Ref. | |
---|---|---|---|---|---|---|
1 | Citrates ions | 7.5 | 11.5 | 529 | 1.51 | This work |
2 | Citrates ions | 25 | 28 | 525 | 1.51 | 45 |
3 | Poly ethylene glycol | 25 | 42 | 526 | 1.42 | 45 |
4 | VHH-122 antibodies | 25 | 45 | 527 | 1.45 | 46 |
5 | AAP (a triptan-family drug) | 10 | 13.9 | 544 | 1.73 | 24 |
6 | Citrate ions | 25 | 29 | 521 | 1.49 | 47 |
7 | Antibody | 25 | 86.2 | 526 | 1.41 | 47 |
8 | Citrate ions | 21.7 | 24.5 | 522 | 1.50 | 48 |
9 | Cetuximab (C225) | 21.7 | 41.1 | 525 | 1.41 | 48 |
It should be noted that the calculated refractive index of the capping agent (n2) should have been assigned to both the solution and the agents which environed the particle. It should not be related to the agents only. Also, the concentration of the agents and the arrangement direction of them in the solution are very important. Orientation of the bimolecular or organic agents influences the optical response of dielectric composite.49,50 Around a nanoparticle, agents have an anisotropy radial orientation which is different from parallel orientation. Furthermore, conformation preferences of ligands can influence the binding strength between the particle and molecules and consequently affects the plasmon peak, especially for chain molecules such as long-chain surfactants, proteins, and carbohydrates.29
Here we give proof of the correctness of the mentioned calculations. As we know, the dielectric dipole moment that is a microscopic parameter has a direct relation with macroscopic parameters such as electric constant and refractive index.51 The dielectric dipole moment of a poly ethylene glycol changes between 2.38 D (monomer) to 3.65 D (heptamer),52 but this quantity is 38.48 D for citric acid53 and is certainly higher for its ion. It is in good agreement with our results, as shown in Table 2.
It is interesting to investigate the validity of the model for a solvent expects to water, so it will be checked for Au NPs dispersed in chloroform. S. Elhani1 et al. provided a colloid of Au NPs in chloroform by removing the particles from water and transferring them into chloroform as a colloidal solution.54 It was done by using surfactants that cover the surface of Au-NPs and separate them from water.54,55 In brief, the surfactants used for the transfer are amphiphilic molecules with a hydrophobic head that binds to Au NPs, and a hydrophilic tail, which like water. By adding Au nanocolloid to the desired solvent containing appropriate surfactants, the transfer process would have happened. The transfer mechanism is a very important mechanism that enables us to obtain colloids from Au NPs with a wide variety of solvents and consequently different colors.54,55 The reason for these color changes is understandable with this model. For example, in ref. 50, the production of the transfer process of Au NPs in chloroform solution is a colloid of Au NPs coated with the mixture of two main surfactants; (hexadecyl) trimethylammonium bromide (CTAB) and tetraoctylammonium bromide (TOAB) citrate ions, and probably a percent of citrate ions. The refractive index of all of these ionic surfactants is about 1.41,56 and the refractive index of chloroform is 1.445.
The model was used for this case. Fig. 10 shows the simulated UV-visible spectra of the Au NPs with capping agents of a mixture of CTAB, TOAB and citrate ions (n2 = 1.41), dispersed in chloroform. Different average sizes of shell dimension (2b) were used in simulations. As shown, for 2b = 17.5 nm, the peak was obtained at 532 nm, which is equal to the value obtained by the experiment54 and confirms a shift of plasmon resonance to 532 nm. In other words, the best fit of experimental and numerical peaks is obtained for 2b = 17.5 nm which is the most probable dimension of the capping agent.
Fig. 10 (a) Absorption spectra of Au-NPs (∼15 nm) in chloroform with different dimensions of capping agent shell. (b) The peak of 532 nm (ref. 54) is obtained for 2b = 17.5 nm and is in good agreement with ref. 54. |
Optical biosensors are analytical devices often including a source light and a detecting device which measure or monitor a biological component. They are capable of detecting biomolecules in a complex sample by converting the optical signal to an optical or electrical signal which can be further processed to the concentration of the biomolecules, such as glucose, antibodies, enzymes and hormone receptors.
Different optical mechanisms have been used for this purpose including SPR, refractive index, optical waveguide, optical resonator, optical fiber, and optical absorption.57 In this study, absorption coefficient of a metal nanocolloid has been used as the sensing technique which is based on changing the SPR of metal particles by refractive index of biomolecules as capping agents. This technique can be used as an optical biosensor with good performance in detecting biomolecules and promote acceptable progress in clinical diagnostics, drug process control, drug delivery and discovery, and environmental monitoring.
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