A. L. Sunatkari*a,
S. S. Talwatkarb,
Y. S. Tamgadgec and
G. G. Muleyd
aDepartment of Physics, Siddhartha College of Arts, Science and Commerce, Fort, Mumbai-400001, India. E-mail: ashok.sunatkari@rediffmail.com
bDepartment of Physics, N. G. Aacharya and D. K. Maratha College of Arts, Science and Commerce, Chembur, Mumbai-400071, India
cDepartment of Physics, Mahatma Phule Arts, Commerce & S. C. Science College, Warud-444906, India
dDepartment of Physics, Sant Gadge Baba Amravati University, Amravati-444602, India
First published on 17th May 2019
Gold nanoparticle (GNP) colloids stabilized with various concentrations of L-ascorbic acid were synthesized by the chemical reduction method and characterized by UV-Vis spectroscopy, XRD, FT-IR spectroscopy and TEM. XRD and TEM studies confirmed the reduction in particle size with the stabilizer concentration. UV-Vis spectra showed a blue shift in the LSPR peak. FT-IR peaks ascertained the strong encapsulation of GNPs with L-ascorbic acid functional groups. The nonlinear optical (NLO) properties of colloidal GNPs and GNP–PVP composite thin film were investigated using the Z-scan technique with CW laser excitation at 632.8 nm. The effects of stabilizer concentrations on nonlinear refractive index (n2), nonlinear absorption coefficient (β) and third-order susceptibility (χ(3)) of colloidal GNPs and GNP–PVP composite thin films were investigated. The values of the NLO parameters for the thin films were as large as n2 = 10−5 cm2 W−1, β = 10−5 cm W−1 and χ(3)eff = 10−5 esu. For colloidal GNPs, these parameters were n2 = 10−6 cm2 W−1, β = 10−6 cm W−1 and χ(3)eff = 10−7 esu. In both these cases, the NLO parameter values were found to decrease as the stabilizer concentration increased from 1 to 5 mM. The considerable enhancement in the NLO parameters may be attributed to the thermal lensing effect originating from the thermo-optic phenomenon. From the results, the influence of the concentration of the stabilizer on the NLO properties is obvious.
To achieve large optical nonlinearity and special optical absorption, organic/inorganic materials, noble metal nanoparticles, and carbon-based materials are embedded into various host dielectrics and polymer nanocomposites.14,15 Liao et al.16,17 and Fukumi et al.18 obtained third-order NLO susceptibility as large as 10−6 to 10−7 esu for the composite films containing gold nanoparticles embedded in an oxide matrix such as Au–SiO2 and Au–TiO2. In this study, they established the dependence of χ(3) on the size of the gold nanoparticles and concentration. Fang et al.19 reported the third-order optical nonlinearities of gold nanoparticles incorporated in mesoporous silica thin films. In this study, they found that the linear and nonlinear optical properties can be tuned by changing the factors such as particle size, shape, and filling factor as well as by changing experimental conditions such as the use of different surfactants and calcination. Nanoparticles have a high specific surface area and their high surface energy must be stabilized to prevent further agglomeration. This can be achieved by wisely selecting suitable surfactants with moieties that introduce steric repulsion between them.
To date, a common choice for a metal nanoparticle (MNP) surfactant is the thiol-mediated binding of ligands.20 Aniline, long-chain amines, and carboxylic compounds have been used as stabilizers for the synthesis of MNPs.21 Researchers have also studied the roles of polyvinylpyrrolidone (PVP), polyacrylate and polyacrylamide as protective agents, which can effectively alter the shape, size, stability and linear optical properties of MNPs.22 More recently, researchers have diverted their attention to the binding of metal NPs with amino acids.23–25 Amino acids are inherently compatible and one of the common amino acid is L-ascorbic acid, which has a zwitterionic structure. On functionalization of MNPs with L-ascorbic acid molecules, they can easily facilitate the interaction and hence have a potential to bring drastic changes in NLO properties. Joshi et al.26 reported the synthesis of L-lysine-capped gold nanoparticles. Bhargava et al.27 reported the synthesis of gold nanoparticles using amino acids such as L-tyrosine and glycyl-L-tyrosine as reducing agents. Furthermore, reports on the preparation of various metal nanoparticles through a green method are available in the literature, in which L-ascorbic acid is used as a reducing agent.27–33 To the best of our knowledge, reports are not available on the use of L-ascorbic acid as a surfactant in the synthesis of gold nanoparticles (GNPs), and the effect of its concentration on linear optical and NLO properties has not been comprehensively explored.
In the present study, we aim to synthesize GNPs in the colloidal form with various concentrations of the surfactant L-ascorbic acid, followed by their dispersion into the PVP matrix to fabricate thin films by a spin-coating method. The effects of L-ascorbic acid concentration on LSPR, size of GNPs, nonlinear refractive index (n2), nonlinear absorption coefficient (β), and third-order susceptibility (χ(3)) of colloidal GNPs as well as GNP–PVP composite thin films were investigated under CW laser excitation (632.8 nm) using the well-known Z-scan technique. A comparative analysis of NLO parameter values of colloidal GNPs and GNP–PVP composites was conducted. The mechanism responsible for the considerable enhancement in NLO parameters was presented.
The nonlinear absorption present in the sample can be estimated by the open aperture Z-scan technique. As the sample is translated through the focal region of the beam, the detector (OA) measures the total transmitted intensity. The normalized change in transmitted intensity can be approximated using the following equation:
(1) |
All the notations used here are as those given by Sheik-Bahae.34,35 If the beam experiences any nonlinear phase shift due to the sample as it is translated through the focal region, then, the fraction of light falling on the detector will vary due to the Kerr lens generated in the material by the intense laser beam. In this case, the signal measured by the detector will exhibit a peak and valley as the sample is translated through the Z-axis. The position of the peak and valley, relative to the Z-axis, depends on the sign of the nonlinear phase shift Δϕ0. If the phase shift is positive, self-focusing occurs and then, the peak will trail the valley. If the phase shift is negative, then, the valley will trail the peak and self-defocusing occurs. The magnitude of the phase shift can be determined from the change in the normalized transmittance between the peak and the valley, ΔTPV, using the following relation:
(2) |
(3) |
The third order nonlinear susceptibility can be obtained by the real and imaginary parts of third-order nonlinear optical susceptibility calculated from the estimated values of n2 (closed-aperture Z-scan) and β (open-aperture Z-scan) using the following relation:
χ(3) = Re[χ(3)] + Im[χ(3)] | (4) |
(5) |
(6) |
In this experiment, a low-power 10 mW He–Ne laser beam of wavelength 632 nm in the CW regime was used. Colloidal GNP samples were taken in the 1 mm path length quartz cuvette. In the present experimental set up, the laser beam was focussed using a lens of 20 cm focal length. The beam waist was 22 μm and Rayleigh length was Z0 = 2.4 mm. Thin film samples were mounted on the sample holder placed at the Z0 position and moved to and fro along the Z-axis. At each position on the Z-axis, the input beam energy and transmitted beam energy were measured with the help of the detector. The experiment was carried out for open aperture as well as closed aperture configuration to estimate the intensity-dependant nonlinear refraction and third-order nonlinear susceptibility of GNP colloids and GNP–PVP thin films. The sample experienced different intensities of laser light as it changed position along the focal plane, i.e., the Gaussian beam experienced a nonlinear phase shift due to the translation of the sample through the focal region. Due to nonlinear refraction, the spatial beam broadening or narrowing occurred in the far field. In this case, the transmitted signal recorded by the detector exhibited a peak and valley as the sample moved along the focal region. The sign and the magnitude of nonlinear refraction could be deduced from the transmittance curve. The variation in transmitted intensity through the sample is provided in the Results section.
Fig. 2 UV-visible spectra of L-ascorbic acid-stabilized (a) GNP colloidal suspension and (b) PVP–GNP thin films with 1, 2.5 and 5 mM concentrations of L-ascorbic acid. |
In Fig. 2b, the LSPR peak of GNP–PVP thin film indicates the incorporation of GNPs into the polymer matrix. A slight shift of 2–3 nm in the LSPR peak in the nanocomposite matrix compared to the colloidal suspension may be due to the change in the dielectric constant of the medium.40–42
The formation of smaller-sized gold NPs with the increase in the concentration of the stabilizer was also authenticated by TEM measurements. Alvarez et al.43 and Palpant et al.44 also reported a blue shift in LSPR on decreasing the particle size. They applied the time-dependant local density approximation (TDLDA) theory for calculations and found good agreement. They explained the effect as follows: the metal nanoparticle cluster has two regions: inner core and outer shell. The blue shift with the decrease in size is due to the screening effects caused by the polarisable inner medium, which can vanish at the outer shell of the particles. However, De et al.45 did not attribute the blue shift in LSPR to the size effect. They explained that the blue shift in LSPR is due to the electron transfer to the gold cluster from hydrogen in a reducing atmosphere, filling up its 5s band. The increase in s-electron density results in increase in Fermi energy and thus plasma frequency, which causes reduction in the absorption wavelength.
Interestingly, L-ascorbic acid-capped GNPs were stable for a long period without any aggregation, whereas free GNPs started to aggregate within two weeks at room temperature. Aryal et al.46 also noticed similar results when they stabilized gold nanoparticles by L-cysteine. Due to the surface potential reduction resulting from the transfer of electrons to GNPs from NaBH4, a reducing agent used in the synthesis process, nanoparticles started to aggregate.47 Guo et al.48 reported the aggregation of GNPs and attributed it to their different morphologies such as decahedrons, tetrahedrons, truncated tetrahedrons and cubes as GNPs have different chemical activities on different crystalline facets. Therefore, the strength of the binding force of the stabilizer L-ascorbic acid on different crystalline facets is not uniform. As a result, the stabilizer with a weak binding force on some facets will start desorbing and aggregating. Fig. 4e shows the TEM image of aggregated GNPs after three and a half months.
Fig. 3 XRD patterns of (a) PVP and thin films implanted with GNPs stabilized with (b) 1, (c) 2.5 and (d) 5 mM L-ascorbic acid. |
A very broad peak at around 24.35° is a characteristic peak of the amorphous polymer.40 Other diffraction peaks located at 38.50°, 44.42°, 64.67° and 77.65°, corresponding to the planes (111), (200), (220), and (311), belong to the face-centred-cubic-structured gold crystals and agree with the data given in the literature (JCPDS 01-1172).
The particle sizes of GNPs were estimated at about 17, 14 and 9 nm and decreased with the increase in the stabilizer concentration. The TEM images shown in Fig. 4 also validate the decrease in the GNP size.
Sample | L-Ascorbic acid concentration (mM) | Absorption wavelength (nm) | Size from XRD (nm) | Size from TEM (nm) |
---|---|---|---|---|
PVP–GNP1 | 1.0 | 545 | 17 | 20 |
PVP–GNP2 | 2.5 | 531 | 14 | 16 |
PVP–GNP3 | 5.0 | 525 | 9 | 11 |
Fig. 5 FT-IR spectra of pure L-ascorbic acid and GNPs stabilized with 1, 2.5 and 5 mM L-ascorbic acid. |
The shift in the band position along with the decrease in the intensity for various concentrations of L-ascorbic acid suggests bonding with GNPs. As expected, the spectra show signature peaks from 1453 to 1652 cm−1 due to the stretching, bending and deformation of functional groups as a result of their attachment with the GNP surface. Various bands appearing in the spectra along with their tentative interactions are shown in detail in Table 2. The decrease in the intensity with concentration of the stabilizer L-ascorbic acid along with a significant shift in the peak position is a result of strong bonding between functional groups and GNPs.51–53
Pure L-ascorbic acid (cm−1) | GNP1 (cm−1) | GNP2 (cm−1) | GNP3 (cm−1) | Assignment ref. 49–53 |
---|---|---|---|---|
a Str. = stretching, bend. = bending, asy. = asymmetric, def. = deformation, Vib. = vibrational. | ||||
3852 | 3852 | 3853 | 3855 | O–H str. |
3741 | 3743 | 3745 | 3743 | O–H str. |
3603 | — | — | — | O–H str. |
3440 | 3444 | 3443 | — | O–H str. |
1694 | 1701 | 1695 | 1698 | N–H bend. |
1749 | — | — | — | CO str. |
1647 | 1648 | 1649 | 1650 | N–H def./C–C str. |
1536 | 1547 | 1542 | 1551 | N–H bend./C–O str. |
1460 | 1453 | 1461 | 1464 | CH3 asy. def./COO sym. str. |
1156 | — | 1161 | — | C–N/C–C–C sym. str. |
1101 | 1098 | — | — | C–N str. |
1032 | — | — | — | C–C str. |
665 | 670 | 668 | 668 | COO bend. |
514 | 506 | 508 | 512 | C–O def. Vib. |
Fig. 6 (a), (b) and (c) represent CA transmittance and (d), (e) and (f) represent OA transmittance of colloidal GNP suspensions stabilized in 1, 2.5 and 5 mM L-ascorbic acid, respectively. |
Fig. 7 (a), (b) and (c) represent CA transmittance and (d), (e) and (f) represent OA transmittance of PVP thin films embedded with GNPs stabilized in 1, 2.5 and 5 mM L-ascorbic acid, respectively. |
CA data comprised both the effects of nonlinear refraction and absorption; hence, CA Z-scan data were divided with open aperture Z-scan data to exclude the effect of nonlinear absorption. The values of nonlinear refractive index, nonlinear absorption coefficient, and third-order nonlinear susceptibility were calculated and are provided in Table 3.
Sample | GNP size (nm) | L-Ascorbic acid con (mM) | ΔTP−V | |Δϕ0| | n2 cm2 W−1 (10−6) | β cm W−1 (10−6) | Re χ(3) esu (10−7) | Im χ(3) esu (10−11) | χ(3)eff esu (10−7) |
---|---|---|---|---|---|---|---|---|---|
Colloidal GNPs | |||||||||
GNP1 | 20 | 1.0 | 0.786 | 2.222 | −1.43 | 3.38 | 5.23 | 2.40 | 5.23 |
GNP2 | 16 | 2.5 | 0.749 | 2.119 | −1.35 | 4.11 | 4.95 | 2.92 | 4.95 |
GNP3 | 11 | 5.0 | 0.698 | 1.973 | −1.27 | 4.54 | 4.63 | 3.22 | 4.63 |
Sample | GNP Size (nm) | L-Ascorbic acid con. (mM) | ΔTP−V | |Δϕ0| | n2 cm2 W−1 (×10−5) | β cm W−1 (×10−5) | Re χ(3) esu (×10−5) | Im χ(3) esu (×10−11) | χ(3)eff esu (×10−5) |
---|---|---|---|---|---|---|---|---|---|
PVP–GNP thin films | |||||||||
GNP1–PVP | 20 | 1.0 | 1.085 | 3.06 | −3.79 | 8.96 | 2.23 | 6.36 | 2.23 |
GNP2–PVP | 16 | 2.5 | 0.968 | 2.73 | −3.38 | 7.04 | 1.99 | 5.00 | 1.99 |
GNP3–PVP | 11 | 5.0 | 0.871 | 2.46 | −3.04 | 6.80 | 1.79 | 4.83 | 1.79 |
The variation in NLO parameters with the concentration of the stabilizer L-ascorbic acid is displayed in Fig. 8. Fig. 6 and 7, of CA transmittance curve, shows valley is trailing the peak indicating of self-defocusing nature of samples. Therefore, the sample showed a negative nonlinear refractive index. For colloidal GNPs, as the concentration of L-ascorbic acid increased, the nonlinear refractive index (n2) reduced from 1.43 × 10−6 cm2 W−1 to 1.27 × 10−6 cm2 W−1; for PVP–GNP thin films, it reduced from 3.79 × 10−5 cm2 W−1 to 3.04 × 10−5 cm2 W−1.
The effective third-order nonlinear susceptibility (χ(3)eff) value measured in colloidal GNP suspension varied from 5.23 × 10−7 to 4.63 × 10−7 esu, whereas in thin films, it varied from 2.23 × 10−5 to 1.79 × 10−5 esu. Furthermore, nonlinear absorption (β) was estimated in the order of 3.38–4.54 (×10−6 cm W−1) for colloidal GNPs, whereas in the GNP–PVP nanocomposites, it was in the order 8.96–6.90 (×10−5cm W−1). This suggests that the nonlinear refraction, third-order susceptibility and nonlinear absorption of GNPs in PVP thin films are better compared to the observations for the L-ascorbic acid-stabilized colloidal GNPs. Nonlinear refraction may comprise electronic and thermal contributions; however, in the CW (as we have used a CW laser) regime, thermal contributions dominate. This is also indicated by the Z-scan curves shown in Fig. 6 and 7 as ΔTP−V is 1.7 times the Rayleigh range and nonlinearity is thermal in nature. Considerable enhancement in the nonlinear refractive index may be attributed to the thermally induced lensing effect in PVP–GNP thin films.54,55 The electrons with energy higher than the Fermi energy are called hot electrons. These hot electrons dissipate their excess energy through the scattering process. By doing so, the surrounding temperature increases and creates a temperature gradient; this causes a variation in the refractive index which is called thermal lensing. Due to the thermal lensing effect, the phase shift ϕ experienced by the laser beam is In thin films, contributions from the end-phase curvature and thermal stress56,57 also play their roles. A larger expansion of the hotter centre of thin films compared to the cooler edge leads to end-face curvature contribution, and the cooler edge of thin films prevents the expansion of the hotter centre, thus producing thermal stress.
Furthermore, Dolgaleva et al.58 found ten-fold enhancement in NLO responses and attributed this to the local field effect that originated due to hot spots (electrons). They explained that in nanocomposites, surface plasmon excitations are confined to a small nano-region called as hot spots. The electromagnetic energy stored in these hot spots associated with localised plasmons leads to a local field that can exceed the intensity of the applied field by four or five times in magnitude. The high local fields in the hot spots result in considerable enhancement in NLO responses. The local field factor also becomes dependant on the dielectric constant (εd) of the dielectric host matrix as the local field factor (f) takes the form of near SPR. Therefore, the matrix with a larger dielectric constant makes the composite gain a larger value of f and the SPR peak also shifts due to the energy dependence of the dielectric constant. Hence, a metal particle-embedded composite matrix usually has a larger optical nonlinear response near the individual SPR as noticed in the present case. Specifically, third-order nonlinear optical susceptibility (χ(3)) becomes proportional to the fourth power of the local field factor under the condition of low metal concentration.59–63
Finally, considerable enhancement in the NLO responses of the PVP–GNP matrix may be due to LSPR, thermo-optic effect, thermal lensing effect, and local field factor. However, detailed analysis may be required to completely comprehend the exact underlying phenomenon contributing to the high value of nonlinear parameters shown by the PVP–GNP matrix. It is also observed from Table 3 that as the stabilizer concentration increases, the size of GNPs, nonlinear refractive index and third-order susceptibility decrease. Size-dependant nonlinearity was also noticed by Shahriari et al.61 and Fukumi et al.18 They established the relation that χ(3) is proportional to the fourth power of the radius of nanocrystals, volume fraction of metal colloid particles and χ(3)m of metal particles. We have compared the estimated NLO parameter values with the reported values in the literature. Our samples showed enhanced values of the NLO parameters. Table 4 shows the reported values of the NLO parameters of colloidal GNPs and GNP–PVP matrix.
Sample | Wavelength (nm) | n2 (cm2 W−1) | β (cm W−1) | χ(3) (esu) | Ref. |
---|---|---|---|---|---|
Colloidal AgNPs | 632 (CW) | −4.04 × 10−7 | — | — | 62 |
GNP–Al2O3 matrix | 532 (CW) | 7.62 × 10−9 | −1.31 × 10−3 | 6.25 × 10−8 | 64 |
GNP–SiO2 matrix | 532 (CW) | 2.97 × 10−9 | −0.12 × 10−3 | 2.7 × 10−8 | 64 |
Colloidal GNPs | 632 (CW) | −2.6 × 10−8 | — | — | 39 |
GNP–ZnO matrix | 532 (CW) | −1.31 × 10−9 | −0.08 × 10−3 | 2.46 × 10−8 | 64 |
Colloidal GNPs | 514 (CW) | −2.68 × 10−6 | — | — | 65 |
Colloidal GNPs | 633 (CW) | −2.0 × 10−7 | — | 21 | |
GNP–Eu2O3 | 633 (CW) | 1.1 × 10−8 | 0.54 | 2.8 × 10−3 | 66 |
Colloidal GNPs | 532 (CW) | 0.31 × 10−7 | — | — | 67 |
Colloidal GNPs | 632 (CW) | −(1.43–1.27) × 10−6 | (3.38–4.54) × 10−6 | (5.23–4.63) × 10−7 | This work |
GNP–PVP | 632 (CW) | −(3.79–3.04) × 10−5 | (8.96–6.80) × 10−5 | (2.23–1.79) × 10−6 | This work |
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