Literature DB >> 31909343

Photophysical and Optical Properties of Semiconducting Polymer Nanoparticles Prepared from Hyaluronic Acid and Polysorbate 80.

Adam Langlois1, Gage T Mason1, Michael H L Nguyen1, Mehdi Rezapour1, Paul-Ludovic Karsenti2, Drew Marquardt1,1, Simon Rondeau-Gagné1.   

Abstract

A nanoprecipitation procedure was utilized to prepare novel diketopyrrolopyrrole-based semiconducting polymer nanoparticles (SPNs) with hyaluronic acid (HA) and polysorbate 80. The nanoprecipitation led to the formation of spherical nanoparticles with average diameters ranging from 100 to 200 nm, and a careful control over the structure of the parent conjugated polymers was performed to probe the influence of π-conjugation on the final photophysical and thermal stability of the resulting SPNs. Upon generation of a series of novel SPNs, the optical and photophysical properties of the new nanomaterials were probed in solution using various techniques including transmission electron microscopy, dynamic light scattering, small-angle neutron scattering, transient absorption, and UV-vis spectroscopy. A careful comparison was performed between the different SPNs to evaluate their excited-state dynamics and photophysical properties, both before and after nanoprecipitation. Interestingly, although soluble in organic solution, the nanoparticles were found to exhibit aggregative behavior, resulting in SPNs that exhibit excited-state behaviors that are very similar to aggregated polymer solutions. Based on these findings, the formation of HA- and polysorbate 80-based nanoparticles does not influence the photophysical properties of the conjugated polymers, thus opening new opportunities for the design of bioimaging agents and nanomaterials for health-related applications.
Copyright © 2019 American Chemical Society.

Entities:  

Year:  2019        PMID: 31909343      PMCID: PMC6941380          DOI: 10.1021/acsomega.9b03402

Source DB:  PubMed          Journal:  ACS Omega        ISSN: 2470-1343


Introduction

Organic semiconducting polymers are a special class of materials that have been attracting a lot of attention for a rich variety of applications in optoelectronics, mostly because of their intrinsic charge transport properties, exceptional optical properties, and synthetic versatility.[1−3] Throughout the years, π-conjugated polymers have been used as active materials in high-performance electronic devices such as organic field-effect transistors,[4,5] organic photovoltaics,[6,7] and organic light-emitting diodes.[8,9] These materials have also been shown to be particularly promising candidates for the development of advanced stretchable and conformable bioelectronics and sensing devices.[10−13] Recently, it has been shown that by employing different preparation strategies, π-conjugated polymers can be aggregated in solution and stabilized by hydrophilic polymers, leading to the preparation of a new type of nanomaterials, the so-called semiconducting polymer nanoparticles (SPNs).[14−16] Interestingly, SPNs are easily accessible synthetically, present good stability in aqueous dispersion, and their size can be easily fine-tuned. More importantly, SPNs were shown to preserve the rich optical properties of the native semiconducting polymer, which led to their evaluation as bioimaging agents (near infrared, NIR) and potential application in the treatment of various diseases through photothermal therapy.[17−19] Currently, most approaches for labeling and visualizing extracellular materials (proteins, polysaccharides, lipids, etc.) use commercial fluorescent compounds, such as fluorescein isothiocyanate and rhodamine.[20] Despite being well known and accessible, these compounds can suffer from leaching and poor photostability, which remain important for long-term tracking and imaging purposes. Therefore, the design of novel SPNs and the investigation of their optical and photophysical properties are highly desirable toward a more efficient platform for bioimaging and therapeutics. For the preparation of novel SPNs through nanoprecipitation, the utilization of dye molecules capable of absorbing in the NIR range has been shown to be a promising design strategy to access improved optical properties.[21,22] Among others, diketopyrrolopyrrole (DPP) is a good candidate for designing new SPNs for various reasons.[4,23,24] First, DPP is a planar electron-deficient unit that is synthetically tunable, and its preparation is well known because of the fact that it has been widely used for optoelectronic applications. Moreover, DPP-based materials typically possess excellent light and thermal stability, making them particularly suitable for laser cellular tracking through photoacoustic imaging. Finally, the energy gaps can be easily tuned through copolymerization with other monomers, thus enabling a fine-tuning of its absorption and photophysical properties. Many recent SPN systems have been reported using DPP-based materials and were shown to be particularly efficient for photothermal stability and photoacoustic imaging.[25−27] Despite these important outcomes, the investigation of the synthetic design rules to fully understand the fine-tuning of the photophysical properties of DPP-based SPNs and the utilization of new hydrophilic coprecipitation agents with novel properties are still highly desirable. Herein, we report the preparation of new SPNs through the nanoprecipitation of a series of DPP-based conjugated polymers with hyaluronic acid (HA) and polysorbate 80 (Figure ). Widely used for the design of novel biomaterials, HA and polysorbate 80 are known to be specific targets of specific receptors of various tumors, mostly associated with glioblastoma.[28−32] Furthermore, both biomaterials have been previously utilized transitioning nanoparticles across the blood–brain barrier, which is particularly interesting for the design of new SPNs.[33,34] In addition to the utilization of new hydrophilic coprecipitation agents, a systematic evaluation was performed by varying the main chain structure by inserting different donor moieties, including thiophene (T), bithiophene (2T), and terthiophene (3T) into the DPP polymer to probe for the impact of π-conjugation extension on the photophysical properties of SPNs before and after nanoprecipitation. The new SPNs were characterized by various techniques, including UV–vis spectroscopy, dynamic light scattering (DLS), small-angle neutron scattering (SANS), fluorescence spectroscopy, and femtosecond transient absorption (TA) spectroscopy measurements, to unveil their photophysical properties and the effect of the molecular design of the nanoparticles. The in-depth characterization of the new SPNs revealed that SPNs prepared from HA and polysorbate 80 exhibit fast kinetic decays of the excitons upon irradiation as measured by TA spectroscopy. Interestingly, the incorporation of various thiophene moieties or the utilization of HA of Tween 80 does not significantly impact the photophysical properties, and the newly prepared nanoparticles maintained the optical properties of their parent polymers (before nanoprecipitation). Ultimately, the investigation and evaluation of the new HA and polysorbate DPP-based SPNs can potentially enable the fine-tuning of the optical properties of such materials, contributing to the preparation new high-performance imaging and therapeutic platforms.
Figure 1

Formation of DPP-based conjugated polymer nanoparticles (SPNs) with HA or polysorbate 80 (Tween 80) through nanoprecipitation.

Formation of DPP-based conjugated polymer nanoparticles (SPNs) with HA or polysorbate 80 (Tween 80) through nanoprecipitation.

Results and Discussion

The three different DPP-based conjugated polymers (Figure a), namely, P(DPP-T), P(DPP-2T), and P(DPP-3T), were prepared according to previous reports.[38] Briefly, a decyltetradecyl-branched diketopyrrolopyrrole monomer was copolymerized with different stannylated derivatives via Stille polymerization. The resulting polymer was precipitated with methanol, purified by Soxhlet extraction with methanol, acetone, and hexane, collected with chloroform before being precipitated in methanol, and dried under vacuum. As shown in Figures S1–S9, nuclear magnetic resonance (NMR) and Fourier transform infrared spectroscopies were used to confirm the structure of the conjugated polymers. Upon synthesis, the DPP-based polymers were characterized by high-temperature gel permeation chromatography (GPC) to probe for their molecular weight. As shown in Table S1, P(DPP-T), P(DPP-2T), and P(DPP-3T) showed a molecular weight of 13.7, 22.2, and 20.6 kDa, respectively, with polydispersity indexes around 2. It is important to mention that Carothers’ equation was used during polymerization in order to limit the molecular weights, thus allowing for a better control over the solubility of the polymers in the desired solvents used for nanoprecipitation. Optical properties, energy levels, and decomposition temperatures of P(DPP-T), P(DPP-2T), and P(DPP-3T) are also depicted in Table S1.
Figure 2

(a) Structures of the investigated semiconducting polymers P(DPP-T), P(DPP-2T), and P(DPP-3T); size distributions of SPN samples prepared from (b) HA and (c) Tween-80 as measured by DLS. SANS data of SPNs in D2O prepared from (d) HA and (e) Tween-80. Solid lines represent fits. Dashed lines show Q-dependence of the sample scattering. I(Q) scattering curves were vertically offset using scaling factors for clarity of presentation.

(a) Structures of the investigated semiconducting polymers P(DPP-T), P(DPP-2T), and P(DPP-3T); size distributions of SPN samples prepared from (b) HA and (c) Tween-80 as measured by DLS. SANS data of SPNs in D2O prepared from (d) HA and (e) Tween-80. Solid lines represent fits. Dashed lines show Q-dependence of the sample scattering. I(Q) scattering curves were vertically offset using scaling factors for clarity of presentation. Following the synthesis of the semiconducting polymers, preparation of the SPNs was undertaken using commercially available hydrophilic polymers HA and polysorbate 80 (Tween 80). The complete procedure for nanoprecipitation is detailed in the Supporting Information. Upon addition of the various precursors to water under sonication, rapid diffusion of the solvent and aqueous phase leads to supersaturation of the polymer, thus forming nanoparticles which are stabilized by the hydrophilic materials. Upon formation of the SPNs, namely, NP(DPP-T), NP(DPP-T2), and NP(DPP-T3), the samples were purified through successive washes with water and filtered using a 0.2 μm filter to remove any large undispersed polymer aggregates. Importantly, all nanoparticle suspensions in water shown good stability, up to a month at 4 °C. However, as shown in Figure S10, the samples began to decompose after 2 weeks at ambient conditions, confirmed by the appearance of smaller features observed by DLS. The SPNs were first analyzed by DLS to probe for size distributions and dispersity, and the results are shown in Table and Figure b,c. Interestingly, independently of the semiconducting core, the SPNs showed relatively narrow size distribution with an average size of 133 nm for NP(DPP-T), 150 nm for NP(DPP-2T), and 171 nm for NP(DPP-3T) when HA was used as a stabilizing hydrophilic polymer. Similarly, an average size of 89 nm for NP(DPP-T), 104 nm for NP(DPP-2T), and 79 nm for NP(DPP-3T) were observed when Tween 80 was used. These results show the relatively similar behavior of the polymer in aqueous media, in terms of aggregation and stability. To confirm their size and investigate the shape and morphology, SPNs were subjected to SANS. All SPNs optimally modeled using a spherical uniform scattering length density, with a sphere radius (Rs) which correlates with the hydrodynamic radius (Rh) determined from DLS (Table ). The spherical shape and sizes of SPNs are corroborated by transmission electron microscopy (TEM), and the results are summarized in Figure S11. The SANS data further yielded the radius of gyration (Rg) of the SPNs, which appears invariable to the number of thiophenes present in the polymer. Insight into the geometry of the particles can be inferred from the Rg/Rh ratio, where Rg/Rh = 0.775 for hard spheres.[39,40] The SPNs presented here yield Rg/Rh values 0.63–0.73 (polysorbate 80) and 0.41–0.53 (HA). These results support a spherical geometry, as Rg/Rh values > 0.775 are a result of rodlike and disklike geometries, and values <0.775 have been associated with spherical particles that possess long-range interactions and aggregation in solution.[40,41]Q-dependence analysis of the SANS data shows that the number of thiophenes and surfactants used can influence the SPN structure and shape (Figures d,e and S12). SPNs formed with HA consistently follows a power law of ∼Q–4, which typically describes a compact, spherical particle with sharp interfaces. For SPNs with Tween 80, changes in scattering intensity in the low Q region occur depending on thiophene units. This may be due to a difference in aggregative behavior or may occur when SPN micellar shape shifts from rodlike (Q–1) to lamellar or disklike (Q–2), and vice versa. The mid Q-dependence of Q–2 found in all three SPNs with Tween 80 is also indicative of markedly flexible micelles.[42]
Table 1

Average Diameter and Dispersity for SPNs Prepared from Polysorbate 80 and HA as Measured by DLSa

hydrophilic polymerpolymeraverage diameter, 2Rh (nm)PDIRg (nm)Rg/Rh*Rs (nm)
polysorbate 80NP(DPP-T)890.41280.6343.4
 NP(DPP-2T)1040.26330.6353.1
 NP(DPP-3T)790.46290.7317.1
HANP(DPP-T)1330.5235.40.5336.9
 NP(DPP-2T)1500.2835.20.4743.4
 NP(DPP-3T)1710.2534.90.4155.6

Radius of gyration (Rg) and radius of the SPN (Rs) as measured by SANS.

Radius of gyration (Rg) and radius of the SPN (Rs) as measured by SANS. Based on the results from SANS and DLS, all SPN samples, independent of the stabilizing hydrophilic polymer, were shown to be composed of spherical nanoparticles averaging 100–200 nm in diameter. Interestingly, for the SPNs prepared from Tween 80, the addition of thiophene moieties in the π-conjugated backbone led to a smaller size distribution in the resulting NPs. This can be potentially explained by an increased aggregation for P(DPP-T) in solution, which is supported by a low Rg/Rh ratio. For the NPs prepared from HA, the particles were observed to generate more bundles than from the samples prepared from Tween 80. Despite slight difference in sizes depending on the structure of the polymer, all particles were shown to be around the same diameters and shapes. It is important to mention that nanoprecipitation was also attempted using a 1:4 hydrophilic polymer/conjugated polymer ratio, and the size distribution was investigated by DLS to probe for the influence of surfactant/semiconducting polymer ratios on the final nanoparticles. Interestingly, the NPs prepared with a 1:4 ratio resulted in very similar average size distributions than the NPs prepared with a 1:2 ratio, as shown in Figure S13. Density functional theory (DFT) calculations by Gaussian 09 were also performed on P(DPP-T), P(DPP-2T), and P(DPP-3T), and the results are summarized in Figure S14. This analysis allowed for gaining insights into the backbone conformation upon extension of the π-conjugation induced by the addition of thiophene units. After geometry optimization, a two-coordinate potential energy scan of dihedral angles was performed in order to do a conformational search on the most stable configuration. Based on the resulting potential energy scans, the most stable conformation for all three polymers is when the polymer backbone is completely planar, which has been observed for similar π-conjugated polymer systems.[43] This result suggests that the addition of thiophene units has a moderate conformational influence on the π-conjugated backbone. Evaluation of the optical properties of the DPP-based polymers before and after formation of nanoparticles was performed by UV–vis spectroscopy, and the results are shown in Figures a. As expected, the three polymer samples showed characteristic absorption bands for push–pull conjugated polymers, with a strong absorption band centered at around 700 nm. Interestingly, the extension of the π-conjugation through the addition of thiophene units resulted in a slight hypsochromic shift of the principal absorption band, which was observed for both solution and thin-film analysis (Figures S15 and S16). As also observed in Figure S15, the relative intensities of the 0–0 and 0–1 absorption bands are changed upon π-conjugation extension, which can be directly associated with the formation of H-type aggregates.[44,45] As previously observed for similar systems, both the hypsochromic shift of the absorption at λ = 700 nm and differences in the intensities of the 0–0 and 0–1 absorption bands with increasing thiophene chain length can be associated with an increased flexibility of the polymer backbone as thiophene units are added, resulting in a possible reduction in the effective conjugation length and reduced J-aggregation.[46] More importantly, similar trends are observed for the conjugated polymer nanoparticles prepared using HA and Tween 80 (Figure a) as surfactants. For the nanoparticle solutions, the intensity of the 0–1 absorption band was found to be systematically higher than the intensity of the 0–0 absorption band, which also suggests the formation of H-type aggregates in the SPNs. Despite the fact that no significant spectral shifting was observed before and after nanoprecipitation, the important increase in 0–1 absorption band intensity after the nanoprecipitation process can be associated with a general reduction in J-aggregation and the formation of H-type aggregates as the nanoparticles are formed. Importantly, the UV–vis spectra show very little difference between nanoparticles formed from HA and Tween 80, which suggests that the surfactant does not play a strong role in the molecular organization of the DPP-based polymers during nanoparticle formation.
Figure 3

(a) UV–vis absorption spectra of DPP-based polymers in tetrahydrofuran (THF) solution before and after nanoprecipitation with HA and Tween 80 and (b) variable temperature UV–vis (VT–UV–vis) spectra of the conjugated polymers in chlorobenzene. Spectra are obtained by slowly cooling solutions from their maximum temperature in a controlled manner.

(a) UV–vis absorption spectra of DPP-based polymers in tetrahydrofuran (THF) solution before and after nanoprecipitation with HA and Tween 80 and (b) variable temperature UV–vis (VT–UV–vis) spectra of the conjugated polymers in chlorobenzene. Spectra are obtained by slowly cooling solutions from their maximum temperature in a controlled manner. Further UV–vis experiments were performed to probe for the influence of the π-conjugation length on the aggregation of the polymers and nanoparticles in solution. The concept of H- and J-type aggregation was designed to explain the spectroscopic observations in small molecules with excitons that are Frenkel-like. In conjugated polymers, the individual monomers are chemically tethered to each other, resulting in an inherent J-type interaction;[47] furthermore, polymer chains can stack on top of each other, resulting in an H-type interaction. Therefore, when considering the photophysics of a conjugated polymer, one must consider aggregates with a dual HJ nature.[48] Consequently, an understanding of this dual HJ aggregation can lead to a further understanding of the bandwidth and coherence length of generated excitons. One way to determine whether a polymer aggregate is H- or J-dominant is to examine the relative intensities of the 0–0 and 0–1 absorption bands.[49,50] If the 0–0/0–1 ratio (A0–0/A0–1) is greater than 1, the polymer HJ aggregates are dominated by intrachain J aggregation, where as if A0–0/A0–1 is less than 1, the HJ polymer aggregate is dominated by interchain H aggregations. Therefore, in order to probe the aggregation of the investigated polymers in solution, the polymers were dissolved in chlorobenzene and heated to a temperature between 70 and 80 °C. The absorption spectrum of the polymers was then recorded under controlled cooling of the samples, such that the UV–vis absorption was recoded every 5 °C. The results of this experiment are summarized in Figure b and Table S2. When the polymer solutions are heated, the absorption spectra for all polymers are blue-shifted and the intensity of the 0–1 absorption band becomes higher than the 0–0 absorption band. As the solutions are then cooled, the spectra underwent a red shift and the relative intensities of the vibronic bands are reversed, resulting in a more intense 0–0 absorption at low temperature. The relative peak intensities as a function of temperature are detailed in Figure S17. This observation confirms that the polymers are aggregated in solution and that H-type (interchain) aggregation is favored as the temperature increases. As expected, as the solutions are cooled, the polymers rearrange again to form aggregates that favor J-type (intrachain) interactions. This phenomenon has been reported for other π-conjugated systems, such as poly(3-hexylthiophene).[43,51] Furthermore, no indication of polymer degradation was noted throughout the experiment, indicating that the polymers exhibit a good thermal stability in solution. A similar experiment was carried out on a solution of NP(DPP-T), where, interestingly, no spectral shift or change in relative band intensity was noted (see Figure S18). This again confirms that the SPN dispersions are stable at high temperature and furthermore shows that the polymer chains are tightly aggregated in the nanoparticle, making it such that they are not able to rearrange upon heating. As previously observed for similar conjugated polymer systems, P(DPP-T), P(DPP-2T), and P(DPP-3T) were found to be nonluminescent in THF solution.[52] Therefore, because of this lack of emission, TA spectroscopy in THF was required to determine the excited-state lifetimes and kinetics of the polymers before and after nanoprecipitation. As detailed in the Supporting Information, the samples were excited with the fundamental output of the Ti-sapphire laser at 795 nm and were probed using a white light continuum generated by passing the 795 nm pulse through a sapphire window. Given the broad absorption range of the new materials, three separate spectral windows were evaluated when possible. The TA results are summarized in Figure and are detailed in Figures S19–S22 for polymer solutions in THF and Figures S23–S28 for SPN solutions. Overall, the measured TA spectra for all polymers before nanoprecipitation are similar to those which have been previously reported for other π-conjugated DPP-based polymers.[53] The UV spectral window (350–590 nm) revealed a ground-state bleach signal corresponding to the high energy absorption band (Figure ) assigned to the aromatic thiophene units. A small photoinduced absorption signal can also be observed, which can be assigned to the S0 → S absorption of the thiophene units. The visible light (VIS) window (530–770 nm) showed the ground-state bleach signal corresponding to the blue edge of the DPP absorption (Figure ). The NIR window (860–1100 or 925–1100 nm) showed the red edge of the ground-state bleach and a broad photoinduced absorption band corresponding to the S0 → S absorption of the excited state. As the ground-state absorption shifts to blue with an increasing amount of thiophene units in the π-conjugated backbone, the ground-state bleach is also shifted, making it more apparent in the VIS window and less apparent in the NIR window as expected from steady-state measurements.
Figure 4

(a) Normalized decay traces from fs-TA measurements of (a) P(DPP-T) (left), P(DPP-2T) (middle), and P(DPP-3T) (right) in THF solution (select traced from the UV, VIS, and NIR windows are shown); (b) NP(DPP-T) (left), NP(DPP-2T) (middle), and NP(DPP-3T) (right) prepared from Tween 80 (select traced from the UV, VIS, and NIR windows are shown); and (c) normalized decay traces showing ground-state recovery of the polymers in THF solution and of the nanoparticles prepared from TWEEN and HA. All measurements made with a 795 nm excitation.

(a) Normalized decay traces from fs-TA measurements of (a) P(DPP-T) (left), P(DPP-2T) (middle), and P(DPP-3T) (right) in THF solution (select traced from the UV, VIS, and NIR windows are shown); (b) NP(DPP-T) (left), NP(DPP-2T) (middle), and NP(DPP-3T) (right) prepared from Tween 80 (select traced from the UV, VIS, and NIR windows are shown); and (c) normalized decay traces showing ground-state recovery of the polymers in THF solution and of the nanoparticles prepared from TWEEN and HA. All measurements made with a 795 nm excitation. When we examine the TA spectra in THF, we see that the ground-state bleach and the excited-state absorptions all relax with the same kinetics, suggesting that no intermediate excited states are formed between excitation and the time required to return to the ground state. To adequately fit the measured data, three to four exponential decay constants were applied. The very rapid (fs) relaxations are assigned to the relaxation of the vibronic states. The long-lifetime components are assigned a lifetime of several nanoseconds (note that the delay line has a limit of 8 ns) and are assigned to a weak population of the triplet state. Finally, the dominant lifetime components are ps-lifetime components that are observed in all three spectral windows. These dominant lifetime components are assigned the excited-state lifetime of the polymers in THF solution at room temperature. Normalized decay traces for each of the polymers are provided in Figure a, and the lifetime values are summarized in Tables and S3 and S4. The TA maps as well as spectral slices and additional decay traces are provided in the Supporting Information.
Table 2

Excited-State Lifetimes of Semiconducting Polymers in THF Solution and of SPN Solutions Obtained by TA Spectroscopy with a 795 nm Excitationa

 polymer solution (THF)nanoparticle dispersion (polysorbate 80)
nanoparticle dispersion (HA)
polymer/nanoparticleVIS windowVIS windowNIR windowVIS window
DPP-T9.5 ± 0.1 ps748 ± 7 fs1.8 ± 0.1 ps89.9 ± 2 fs
 25.3 ± 0.1 ps6.0 ± 0.1 ps17.9 ± 0.1 ps2.65 ± 0.1 ps
 > 8 ns26.2 ± 0.2 ps3.7 ± 0.1 ns20.1 ± 0.1 ps
 RMSE = 9.9 × 10–5> 8 nsRMSE = 1.4 × 10–46.6 ± 0.2 ns
 IRF = 115 fsRMSE = 1.0 × 10–4IRF = 57.5 fsRMSE = 8.1 × 10–5
  IRF = 72.1 fs IRF = 52.8 fs
DPP-2T3.0 ± 0.1 ps184.3 ± 0.7 fs398 ± 2 fs62.7 ± 0.8 fs
 30.0 ± 0.1 ps1.9 ± 0.1 ps3.1 ± 0.1 ps1.38 ± 0.01 ps
 RMSE = 1.7 × 10–423.2 ± 0.1 ps27.5 ± 0.1 ps20.6 ± 0.1 ps
 IRF = 95.2 fs3.24 ± 0.04 ns4.38 ± 0.03 ns1.7 ± 0.1 ns
  RMSE = 7.2 × 10–5RMSE = 1.4 × 10–4RMSE = 7.8 × 10–5
  IRF = 63.2 fsIRF = 59.6 fsIRF = 62.8 fs
DPP-3T4.5 ± 0.1 ps178 ± 1 fs533 ± 3 fs66.7 ± 0.7 fs
 38.7 ± 0.1 ps2.8 ± 0.1 ps4.5 ± 0.1 ps1.6 ± 0. 1 ps
 6.8 ± 0.6 ns30.7 ± 0.1 ps37.9 ± 0.1 ps29.1 ± 0.1 ps
 RMSE = 1.2 × 10–43.43 ± 0.08 ns4.58 ± 0.04 ns> 8 ns
 IRF = 105 fsRMSE = 6.5 × 10–5RMSE = 7.7 × 10–5RMSE = 7.7 × 10–5
  IRF = 60.1 fsIRF = 55.7 fsIRF = 56.0 fs

Dominant lifetimes are shown in bold. RMSE = root-mean-squared error (describing the quality of the fit to the experimental data). IRF = instrument response function (full width at half-maximum of the measured laser pulse).

Dominant lifetimes are shown in bold. RMSE = root-mean-squared error (describing the quality of the fit to the experimental data). IRF = instrument response function (full width at half-maximum of the measured laser pulse). When we examine the TA spectra of P(DPP-T), we are able to extract excited-state lifetimes of 20.4, 25.3, and 21.2 ps in the UV, VIS, and NIR windows, respectively (Table S3), leading to an average measured excited-state lifetime of 22.3 ps. Decay traces (Figures a and S22) showing the decay of the excited-state absorption intensity and the ground-state recovery all appear to have similar profiles and are clearly dominated by a ∼20 ps lifetime component. The rapid loss of intensity in the first few picoseconds after photoexcitation, which can be seen in the 400 and 537 nm kinetic slices (Figure S19), is associated with the rapid vibronic relaxation that occurs on a femtosecond time scale. This rapid relaxation is less apparent in the 741, 865, and 1003 nm slices but is still present after deconvolution. The decay of the excited-state absorptions and the recovery of the ground-state bleach show nearly identical kinetics, and the absence of new transient signals or the presence of a rise time indicate that no intermediate excited-state species are formed after photoexcitation. The lack of these features and the short excited-state lifetime further suggests a tightly bound electron–hole pair, which rapidly recombines, which is supported by the short conjugation length (approximately three units) that has been reported for a similar structure.[52] After nanoprecipitation of P(DPP-T) to form an aqueous dispersion of NP(DPP-T) that is stabilized by Tween 80 and HA, the excited-state relaxation behavior was found to be relatively unchanged compared to that observed in THF solution. Because of the limitation in signal intensity, the probing of the UV window was found to be particularly challenging. However, a sufficient signal intensity for the measurement of the VIS and NIR windows was possible, which allowed for the observation of the blue edge of the DPP absorption (ground-state bleach) and the photoinduced absorption of the excited state, respectively. Once again, no intermediate excited states were found, which suggests that there is no charge separation or formation of new species in the excited stare of the nanoparticles. Select decay traces for the nanoparticle relaxation are shown in Figure b. The dominant lifetime for NP(DPP-T) prepared in Tween 80 was determined to be 26.2 and 17.9 ps in the VIS and NIR window, while the lifetime of the nanoparticles prepared in HA was measured to be 20.1 ps. Decay traces for the ground-state recovery of the nanoparticles prepared from Tween 80 and HA and the corresponding polymer in THF solution are shown in Figure c. Interestingly, NP(DPP-T) showed a recovery of the ground-state bleach at a faster overall rate than the native polymer in THF. Deconvolution shows, however, that this is due to an increased contribution of the rapid vibrational relaxation pathways, explained by the tight aggregation of the polymers in the nanoparticle which are able to knock against each other, leading to an increased contribution from the rapid vibrational relaxation pathways. Importantly, the relaxation kinetics of the nanoparticles formed from Tween 80 and HA are nearly identical, which once again suggests that the surfactant does not play an important role in the molecular organization and photophysical behavior of the nanoparticles. It is important to mention that, similar to the conjugated polymers before nanoprecipitation, nanoparticle solutions were found to be nonemissive, which can most likely be attributed to a quenching phenomenon caused by molecular aggregation. A similar investigation was performed for P(DPP-2T), which shows that there is a larger contribution from the fast fs-decay that is associated with the vibrational relaxation of the excited states. This can likely be associated with an increased flexibility of the polymer chain. The decay of the photoinduced absorption signal in the NIR and the recovery of the ground-state bleach are largely dominated by lifetimes of 30.4 and 30.0 ps (average 30.2 ps), respectively. Interestingly, the UV window showed slightly different kinetics. In this window, the relaxation was found to be dominated by the 131 fs lifetime component, although there are also significant contributions of the 893 and 18.5 ps components (Figure S20 and Table S3). This very rapid relaxation is most likely due to the rapid vibrational relaxation of the oligothiophene linker. This rapid relaxation does not appear to be associated with any kind of rise in the photoinduced absorption signal of the DPP units, suggesting that the increased relaxation is not associated with energy transfer to the DPP centers. As observed for P(DPP-T), the nanoprecipitation of P(DPP-2T) to generate NP(DPP-2T) did not significantly influence the shape of the TA spectrum. Analysis of the NP(DPP-2T) solutions yields excited-state lifetimes of 23.2 ps (VIS window) and 27.5 ps (NIR window) in Tween 80 and 20.6 ps in HA, which compares favorably with the lifetime of 30.0 ps that was obtained in THF solution (Table ). Once again, Figure b shows the ground-state recovery and the excited-state decay of the nanoparticle solution prepared in Tween 80, while Figure c shows a comparison of the excited-state relaxation between the polymer in THF solution and the nanoparticles. Examination of the TA results for P(DPP-3T) yields similar results. The average lifetime of the polymer in THF solution was determined to be 36.7 ps. After nanoprecipitation, an average lifetime of 34.3 ps is obtained for nanoparticles prepared from Tween, and a lifetime of 29.1 ps was obtained when HA is used. Overall, as we increase the number of thiophene units between DPP units in the π-conjugated backbone, the number of possible conformations of the polymer is increased, as well as the number of vibronic modes that are available. It is important to note that, in TA measurements, the fast relaxation associated with the rapid vibronic relaxation of the thiophene bridge changes drastically as the length of conjugation increases. These results show that the photophysical behavior of the DPP-oligothiophene polymers is not greatly affected by the formation of nanoparticles nor is it affected by the surfactant used to prepare the nanoparticles, indicating that solution-based analysis of conjugated polymers can yield results that will help to predict the behavior of their corresponding nanoparticle solutions.

Conclusions

In conclusion, new SPNs were prepared from a diketopyrrolopyrrole-based conjugated polymer and HA or polysorbate 80 by using nanoprecipitation. Conjugated polymers with different numbers of thiophene moieties in the π-conjugated backbone were used in order to probe for the influence of π-conjugation length on the formation, size, and photophysical properties of the new semiconducting polymers. Based on the results obtained from DLS, SANS, and TEM, spherical nanoparticles with average diameters ranging from 100 to 200 nm were obtained, independently of the π-conjugation length or stabilizing polymer. UV–visible and fluorescence spectroscopy confirmed that all the new nanoparticle samples possess similar optical properties, with maximal absorption in the NIR. Moreover, TA spectroscopy was used to evaluate the excited-state dynamics before and after nanoprecipitation. Interestingly, all nanoparticles, independently of the stabilizing polymer used or of the π-conjugation length, showed very fast relaxation, and the relaxation kinetics of the nanoparticles formed from Tween 80 and HA were found to be nearly identical, which suggests that the surfactant does not play an important role in the molecular organization and photophysical behavior of the nanoparticles. Based on the results obtained, HA and polysorbate 80 are two efficient stabilizing agents for nanoprecipitation, leading to new nanoparticles with good optical properties. Moreover, the absence of a significant influence of the stabilizing polymer on the photophysical properties after nanoprecipitation confirms that the system is mostly depending on the properties of the parent conjugated polymer. With absorption in the NIR wavelengths, optimal photophysical properties, and good stability as dispersions, the new SPNs are promising candidates for various applications, including as bioimaging agents. Moreover, the in-depth characterization of the photophysical properties opens new opportunities for the design of novel SPNs with new properties.

Experimental Section

Materials

Chemical reagents were purchased from Sigma-Aldrich Co. Canada, Matrix Scientific, or Oakwood Products Inc., and were used as received. Solvents used for organic synthesis were obtained from Sigma-Aldrich and purified with a solvent purifier system (Swagelok, Solon, Ohio, USA). Tris(dibenzylideneacetone)dipalladium(0)-chloroform adduct (Pd2(dba)3·CHCl3) was purchased from Sigma-Aldrich and recrystallized following a reported procedure.[35−37] Tween 80 (polysorbate 80) was purchased from Sigma-Aldrich and used without further purification. HA sodium was purchased from LKT Laboratories and used without further purification. D2O (99.9% purity) was purchased from Cambridge Isotopes.

Measurements and Characterization

DLS measurements were obtained using a Zetasizer Nano ZS utilizing a He–Ne laser at a wavelength of 633 nm and a power of 100VA at 25 °C. TEM images were taken on a Hitachi HT7700. Samples prepared for molecular weight analysis were analyzed using an HLC-8321GPC/HT (high-temperature) instrument. The samples were prepared using 1 mg/mL of polymer sample in trichlorobenzene and were allowed to stir at 80 °C for 12 h prior to injection. The sample analysis was performed at 180 °C with a flow rate of 1.0 mL/min with injection quantities of 300 μL per sample. The data were collected and integrated using EcoSEC 8321GPC/HT software suite. SANS measurements were conducted on the EQSANS instrument at the Spallation Neutron Source of Oak Ridge National Laboratory (Oak Ridge, TN). Measurements were recorded at 37 °C using a single instrument configuration: a frame-skipping mode with instrument choppers running at 30 Hz, a sample-to-detector distance of 3.5 m, and a minimal wavelength of 2 Å. This configuration yielded a Q-range of ∼0.006 to 0.4 Å–1. Data were treated using Mantid software.[5] In brief, data were calibrated to an absolute scale using a porasil standard. The data were also corrected for detector sensitivity, sample transmission, and background to yield the final I(Q) scattering curves. SANS data were analyzed using the openly available SASView (http://www.sasview.org/) using the P(r) inversion tool that calculates a real-space distance distribution function, P(r), to determine the radius of gyration (Rg). The particle form factor was modeled using a sphere with uniform scattering length density. In the case of the polysorbate 80 surfactant, two sphere populations were required, and the surfactant micelle form factor was accounted for prior to determining Rg. The absorption measurements were made on an Agilent Technologies 8453 Diode Array UV–vis spectrometer, with a spectral resolution of 1 nm in a 1 cm quartz cuvette. The fs transient spectra were acquired on a homemade system using a Soltice/OPA-800CF (Spectra Physics) Ti-sapphire laser. Excitation was carried out using the fundamental output of the laser (λexc = 795 nm, rep. rate = 500 Hz; and spot size ≈ 500 μm). The white light continuum (probe) is generated inside a sapphire window and a custom-made dual CCD camera of 64 × 1024 pixels sensitive between 200 and 1100 nm (S7030, spectronic devices) is used for detection. The delay line permitted to probe up to 8 ns with an accuracy of ∼4 fs. The results were analyzed with the program Glotaran (http://glotaran.org) permitting to extract a sum of independent exponentials that fits the whole three-dimensional transient map. Compactional analysis of the different polymers was performed by DFT; all geometries were fully optimized by using the M06-2X functional in conjunction with a 6-311G basis set, and the scan calculations were performed using the opt = ModRedundant with Gaussian 09 program package.[6] Cyclic voltammetry measurements were carried out using a CHIode three-electrode electrochemical setup utilizing a glassy carbon working electrode, a silver/silver chloride reference electrode, and a platinum wire counter electrode in an anhydrous acetonitrile solvent. NMR spectra were recorded on Bruker NMR spectrometers (DPX 300 and DPX 300 US operating at 300 MHz (1H) and 75 MHz (13C)). UV–vis spectroscopy was performed on a Varian UV/visible Cary 50 spectrophotometer. Thermal gravimetric analysis was performed on a Mettler Toledo TGA SDTA 851e. Nitrogen (99.999%) was used to purge the systems at a flow rate of 60 mL/min. All samples were run in aluminum crucibles. TGA samples were held at 25 °C for 30 min before heated to 550 °C at a rate of 5 °C/min. FTIR spectroscopy was performed on a Bruker ALPHA FTIR Spectrometer using a Platinum ATR sampling module.

Nanoparticle Preparation by Nanoprecipitation

Selected conjugated polymer (1 mg) and 2 mg of the selected surfactant were dissolved in 1 mL of THF and left to stir for 30 min. The solution was then injected in 9 mL of deionized water under probe sonication (amplitude of 60, power of 55 W for 2 min). After sonication, the sample was passed through a 0.2 μm PTFE (hydrophobic) syringe filter to remove any large aggregated materials. The nanoparticles were washed multiple times with deionized water and the dispersions were stored at 4 °C prior to use.
  33 in total

1.  Organic field-effect transistor sensors: a tutorial review.

Authors:  Luisa Torsi; Maria Magliulo; Kyriaki Manoli; Gerardo Palazzo
Journal:  Chem Soc Rev       Date:  2013-11-21       Impact factor: 54.564

2.  Molecular packing of high-mobility diketo pyrrolo-pyrrole polymer semiconductors with branched alkyl side chains.

Authors:  Xinran Zhang; Lee J Richter; Dean M DeLongchamp; R Joseph Kline; Matthew R Hammond; Iain McCulloch; Martin Heeney; Raja S Ashraf; Jeremy N Smith; Thomas D Anthopoulos; Bob Schroeder; Yves H Geerts; Daniel A Fischer; Michael F Toney
Journal:  J Am Chem Soc       Date:  2011-09-02       Impact factor: 15.419

Review 3.  Recent Advances in Mechanically Robust and Stretchable Bulk Heterojunction Polymer Solar Cells.

Authors:  P Blake J St Onge; Michael U Ocheje; Mariia Selivanova; Simon Rondeau-Gagné
Journal:  Chem Rec       Date:  2018-12-04       Impact factor: 6.771

4.  Organic Semiconductors based on Dyes and Color Pigments.

Authors:  Marcel Gsänger; David Bialas; Lizhen Huang; Matthias Stolte; Frank Würthner
Journal:  Adv Mater       Date:  2016-03-29       Impact factor: 30.849

5.  Diketopyrrolopyrrole-Triphenylamine Organic Nanoparticles as Multifunctional Reagents for Photoacoustic Imaging-Guided Photodynamic/Photothermal Synergistic Tumor Therapy.

Authors:  Yu Cai; Pingping Liang; Qianyun Tang; Xiaoyan Yang; Weili Si; Wei Huang; Qi Zhang; Xiaochen Dong
Journal:  ACS Nano       Date:  2017-01-03       Impact factor: 15.881

6.  Transistor paint: high mobilities in small bandgap polymer semiconductor based on the strong acceptor, diketopyrrolopyrrole and strong donor, dithienopyrrole.

Authors:  Toby L Nelson; Tomasz M Young; Junying Liu; Sarada P Mishra; John A Belot; Courtney L Balliet; Anna E Javier; Tomasz Kowalewski; Richard D McCullough
Journal:  Adv Mater       Date:  2010-11-02       Impact factor: 30.849

7.  Long-circulating PEGylated polycyanoacrylate nanoparticles as new drug carrier for brain delivery.

Authors:  P Calvo; B Gouritin; H Chacun; D Desmaële; J D'Angelo; J P Noel; D Georgin; E Fattal; J P Andreux; P Couvreur
Journal:  Pharm Res       Date:  2001-08       Impact factor: 4.200

Review 8.  H- and J-aggregate behavior in polymeric semiconductors.

Authors:  Frank C Spano; Carlos Silva
Journal:  Annu Rev Phys Chem       Date:  2014-01-09       Impact factor: 12.703

9.  Conjugated Polymer Nanoparticles for Fluorescence Imaging and Sensing of Neurotransmitter Dopamine in Living Cells and the Brains of Zebrafish Larvae.

Authors:  Cheng-Gen Qian; Sha Zhu; Pei-Jian Feng; Yu-Lei Chen; Ji-Cheng Yu; Xin Tang; Yun Liu; Qun-Dong Shen
Journal:  ACS Appl Mater Interfaces       Date:  2015-08-12       Impact factor: 9.229

Review 10.  Targeted Nanotechnology in Glioblastoma Multiforme.

Authors:  Talita Glaser; Inbo Han; Liquan Wu; Xiang Zeng
Journal:  Front Pharmacol       Date:  2017-03-31       Impact factor: 5.810

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.