Abstract
To systematically explore the effects of the synthesis conditions on the porosity of hyper-cross-linked polymers (HCPs), a series of 9-phenylcarbazole (9-PCz) HCPs (P1–P11) has been made by changing the molar ratio of cross-linker to monomer, the reaction temperature T1, the used amount of catalyst and the concentration of reactants. Fourier transform infrared spectroscopy was utilized to characterize the structure of the obtained polymers. The TG analysis of the HCPs showed good thermal stability. More importantly, a comparative study on the porosity revealed that: the molar ratio of cross-linker to monomer was the main influence factor of the BET specific surface area. Increasing the reaction temperature T1 or changing the used amount of catalyst could improve the total pore volume greatly but sacrificed a part of the BET specific surface area. Fortunately changing the concentration of reactants could remedy this situation. Slightly changing the concentration of reactants could simultaneously obtain a high surface area and a high total pore volume. The BET specific surface areas of P3 was up to 769 m2 g−1 with narrow pore size distribution and the CO2 adsorption capacity of P11 was up to 52.4 cm3 g−1 (273 K/1.00 bar).
Introduction
HCPs get more attention in recent years due to their high BET specific surface area [1], made under mild reaction conditions [2], used nonprecious materials as catalyst [3] and wide applications [4-9], etc. The synthesis methods of HCPs include solvent knitting methods [10], Scholl coupling reaction [11], the knitting method with formaldehyde dimethyl acetal (FDA) [12], functional group reactions [2,13] and so on. Among these methods, the knitting method with FDA as external cross-linker is the most time-efficient approach [14]. FDA was first used as cross-linker to knit aromatic building blocks [15]. Researchers used this method to knit triptycenes [16], triphenylphosphine [4], benzimidazole, 1,3,5-triphenylbenzene [17], carbazole [18], naphthol-based monomers [10] etc. with FDA to obtain various HCPs, which exhibited outstanding porous properties.
Studies of the effects on porosity of HCPs are significant, but almost all investigations focused on the role of monomer length and geometry on the porosity [6,19-32]. Researchers have synthesized a series of carbazole-based microporous HCPs and came to the conclusion that 2D and 3D-conjugated architectures with nonplanar rigid conformation and dendritic building blocks were favorable for getting a high BET specific surface area [6,19-21,23-25]. Qiao synthesized five microporous materials using carbazole with different flexible chains, proving that the flexible chain length was an important factor for the porosity [26]. Different phenyl-based structures were also synthesized to explore the effect of the monomer structure on the porosity [27-32]. However, researchers seldom cared about the effect of reaction conditions on the porosity, which is of far-reaching significance in preparation of HCPs.
In this work, a series of HCPs was synthesized from 9-PCz with FDA as the external cross-linker, the porosity was tuned by variation of the reaction conditions such as the molar ratio of cross-linker to monomer, the reaction temperature T1, the amount of used catalyst and the concentration of reactants. Additionally, the CO2 uptake of the obtained polymers was explored.
Results and Discussion
The synthesis of HCPs is shown in Scheme 1 and Table 1. Using the Friedel–Crafts reaction, 11 samples (P1–P11) have been synthesized. To study the effect of the synthesis conditions on the porosity the molar ratio of building unit to cross-linker (P1–P5), the reaction temperature T1 (P3, P6, P7), the amount of the catalyst used (P3, P8, P9) and the concentration of reactants (P3, P10, P11) were varied.
Table 1: Reaction conditions for the preparation of HCPs.
HCPs |
9-PCz
[mmol] |
FDA/9-PCz |
FeCl3
[g] |
FDA concentration
[mol L−1] |
T1
[°C] |
P1 | 2 | 1 | 0.64 | 0.11 | rt |
P2 | 1 | 2 | 0.64 | 0.11 | rt |
P3 | 0.67 | 3 | 0.64 | 0.11 | rt |
P4 | 0.5 | 4 | 0.64 | 0.11 | rt |
P5 | 0.4 | 5 | 0.64 | 0.11 | rt |
P6 | 0.67 | 3 | 0.64 | 0.11 | 40 |
P7 | 0.67 | 3 | 0.64 | 0.11 | 50 |
P8 | 0.67 | 3 | 0.48 | 0.11 | rt |
P9 | 0.67 | 3 | 0.80 | 0.11 | rt |
P10 | 0.67 | 3 | 0.64 | 0.13 | rt |
P11 | 0.67 | 3 | 0.64 | 0.10 | rt |
Chemical structure analysis
FTIR spectra were measured to verify the structure of HCPs (Figure 1). The peak at 3100–3000 cm−1 correspond to the C–H stretching vibrations of the aromatic rings, which declined obviously in P1–P5 compared to monomer 9-PCz. The peak of the disubstituted phenyl ring in the 9-PCz monomer at near 725 cm−1 disappeared while the peak of the trisubstituted phenyl ring near 800 cm−1 was dominant in polymers [20]. C–H stretching vibration at about 2920 cm−1 belongs to the structure of -CH2- in the HCPs [9,33]. The FTIR spectra of P6–P11 (Supporting Information File 1, Figure S1) were similar to the ones for P1–P5. P1–P11 are polymers with very similar chemical structure, which have been proved by FTIR. In addition, we performed solid state 1H NMR and solid state 13C NMR on P3 as a representative sample. The solid state 1H NMR showed peaks in the range of 1.5–3.5 ppm for the saturated protons (Supporting Information File 1, Figure S2). Also, the solid state 13C NMR (Figure 2) showed peaks between 25–50 ppm, indicating sp3 carbons [9,16]. The peaks about 139 ppm belong to the substituted aromatic carbon, the peaks about 128 ppm were attributed to the unsubstituted aromatic carbon. Based on the above peaks in the solid state NMR, the Friedel–Crafts polymerization product was confirmed.
TGA analysis
The thermal stability of HCPs was investigated by TGA tests (Figure 3 and Supporting Information File 1, Figure S3). A slight weight loss at 100 °C was observed for P2, P4, P5, and P7, due to the solvent wrapped in the hyper-cross-linked networks, which could not be removed even in vacuum [16]. Except this, the TGA curves of P1–P11 exhibited similar decomposition behavior. The highest decomposition temperature of P1–P11 was up to 594 °C, with ca. 70% mass residues even when the temperature raised up to 800 °C (Supporting Information File 1, Table S1), demonstrated the splendid thermal stability of P1–P11 as reported for microporous polymers [34].
Morphology analysis
The morphology of P1–P11 was investigated by SEM images (Figure 4), which showed that HCPs were composed of rough surface particles. The particles had different size and agglomerated to loose aggregates. There were plentiful pores randomly distributed among the particles. X-ray diffraction (XRD) of obtained HCPs exhibited similar diffraction patterns, only a round peak at 10°, hinting that P1–P11 were amorphous polymers [12] (Figure 5).
Porous properties
The permanent porous nature was subsequently studied by subjecting the polymers to nitrogen adsorption–desorption experiments at 77 K. The porosity data of P1–P11 are listed in Table 2. The main influence of the porous properties is the reaction degree, as well as the C/N ratio, which has been confirmed by elemental analysis. Elemental analyses were measured to compare the degree of crosslinking of P1–P11 (Table 3), because the C/N ratio of the polymer will increase as the degree of crosslinking increases.
Table 2: Porosity data for HCPs.
HCPs |
SBETa
[m2 g−1] |
Smicrob
[m2 g−1] |
SAlangc
[m2 g−1] |
Vtotala
[cm3 g−1] |
Vmicrod
[cm3 g−1] |
P1 | 350 | 0 | 481 | 0.47 | 0 |
P2 | 709 | 311 | 970 | 0.62 | 0.14 |
P3 | 769 | 331 | 1049 | 0.63 | 0.14 |
P4 | 696 | 322 | 926 | 0.59 | 0.14 |
P5 | 721 | 319 | 965 | 0.76 | 0.14 |
P6 | 659 | 286 | 880 | 1.24 | 0.13 |
P7 | 599 | 271 | 800 | 1.12 | 0.12 |
P8 | 612 | 328 | 821 | 0.64 | 0.15 |
P9 | 671 | 336 | 890 | 1.00 | 0.15 |
P10 | 755 | 334 | 1013 | 1.11 | 0.15 |
P11 | 760 | 343 | 1025 | 1.27 | 0.15 |
aSurface area and pore volume were obtained by the Brunauer–Emmett–Teller (BET) method in the pressure range of 0.05–0.35 P/P0, the standard deviation of the porosity is 0.1%; bmicroporous surface area calculated from the adsorption branch of the nitrogen adsorption-desorption isotherm using the t-plot method; csurface area calculated from the nitrogen adsorption branch based on the Langmuir model; dmicroporous volume calculated from the adsorption branches using NLDEF methods.
Table 3: Elemental analysis data of HCPs.
HCPs | N% | C% | H% | C/N |
P1 | 5.64 | 83.83 | 4.74 | 14.87 |
P2 | 4.43 | 80.31 | 4.87 | 18.15 |
P3 | 3.93 | 77.75 | 4.90 | 19.79 |
P4 | 3.63 | 77.29 | 5.04 | 21.27 |
P5 | 3.47 | 77.46 | 5.09 | 22.32 |
P6 | 4.05 | 78.20 | 4.97 | 19.31 |
P7 | 4.17 | 80.13 | 5.07 | 19.20 |
P8 | 4.37 | 81.20 | 5.14 | 18.58 |
P9 | 4.13 | 77.51 | 4.98 | 18.78 |
P10 | 4.32 | 78.50 | 4.69 | 18.18 |
P11 | 4.30 | 78.22 | 4.65 | 18.18 |
The effect of molar ratio of cross-linker to monomer on the porosity of HCPs (P1–P5)
To explore the effect of molar ratio of cross-linker to monomer on the porosity of HCPs, five polymers (P1–P5) were synthesized. The reaction conditions of P1–P5 were similar except the gradually increasing molar ratio of FDA to 9-PCz from 1 to 5. Except P1, P2–P5 exhibited a rapid nitrogen adsorption ability at low pressures (P/P0 < 0.05, Figure 6a), which indicated that the micropores exist in the networks [35]. The sorption isotherm of P2–P4 exhibited a combination of type I and IV nitrogen sorption isotherms according to the IUPAC classification [36]. The hysteresis between adsorption and desorption of P2–P4 indicates that the polymers contain mesopores [37]. There is no sharp rise at high relative pressures (P/P0 > 0.9) of P1–P5, which means that scarcely macropores exist in the networks [38]. The pore size distribution (Figure 6b) was calculated from the adsorption branches using nonlocal density functional theory (NLDFT) methods. P2–P5 exhibited narrow pore size distribution in the micropore scopes (<2 nm), while P1 showed a wide pore size distribution. The surface areas of P1–P5 ranged from 350 to 769 m2 g−1 (Table 2). The lowest specific surface area of P1 was due to the less FDA which reduced the crosslinking density. Largely exaltation of BET surface area from P1 to P3 was due to the increasing FDA/9-PCz ratio improved the crosslinking density which could be confirmed by the increasing C/N ratio (Table 3). However, further increasing the molar ratio of FDA to 9-PCz could not result in a higher BET specific surface area, because the high steric hindrance prevented further crosslinking reaction [39], the raised C/N ratio (Table 3) maybe because of the tail end groups of FDA. The BET specific surface area of P3 was much higher than the polymer CZB (with similar carbazole monomer) [18]. All that reveal that enough and suitable cross-linker amount was the premise of superior specific surface areas.
The effect of reaction temperature T1 on the porosity of HCPs (P3, P6, P7)
The reaction temperature can mainly influence the polymerization process; to explore the effect of the reaction temperature on the porosity, we have synthesized P6 and P7 by increasing the reaction temperature T1 from rt (P3) to 40 and 50 °C. When comparing the sorption isotherms of the HCPs (Supporting Information File 1, Figure S4), it was envisioned that those of P6 and P7 were a combination of type I and II nitrogen sorption isotherms, which emerged two steep N2 adsorption abilities at the low pressure region (P/P0 < 0.1) and the high pressure region (P/P0 > 0.9), indicating that micropores and macropores appeared in the polymers [40]. The BET specific surface area of P3, P6 and P7 (769 m2 g−1, 659 m2 g−1 and 599 m2 g−1, respectively) decreased with increasing the reaction temperature T1, microporous surface area and the microporous volume presented the same trend. According to the C/N ratio, the crosslinked degree of P3 is also better than P6, P7. But the total pore volume (0.63 cm3 g−1, 1.24 cm3 g−1 and 1.12 cm3 g−1, respectively) increased heavily with increasing T1. The total pore volume of P6 and P7 is much bigger than the carbazole-based HCPs such as CPOP-13 (890 m2 g−1, 0.468 cm3 g−1), CPOP-14 (820 m2 g−1, 0.416 cm3 g−1), Cz-POF-4 (914 m2 g−1, 0.6 cm3 g−1) [20,33]. This may be the result of that excessive temperature caused excessive crosslink at the beginning of the reaction, the plethora network cocooned a part of the reaction center, and prevented it from further cross-linking (micropores), hence it formed macropores. All that indicated that improving the reaction temperature T1 could enhance the total pore volume of HCPs but lowers the specific surface area.
The effect of the amount of catalyst on the porosity of HCPs (P3, P8, P9)
To explore the effect of the amount of catalyst on the HCPs porosity, P8 (3 mmol FeCl3), P3 (4 mmol FeCl3), P9 (5 mmol FeCl3) were made by varying the catalyst amount. The nitrogen sorption isotherms (Supporting Information File 1, Figure S5) of P8 and P9 were similar as the one of P7; this means that micropores and macropores exist simultaneously in the polymers. The specific surface area for P8 (612 m2 g−1) and P9 (671 m2 g−1) was inferior to P3 (769 m2 g−1), this trend was similar to the C/N ratio. The total pore volume of P9 (1 cm3 g−1) was much higher than P3 (0.63 cm3 g−1), P8 (0.64 cm3 g−1). The influence of the amount of catalyst used on the porosity can result in a high specific surface area, when applying a suitable amount of catalyst.
The effect of the concentration of reactants on the porosity of HCPs (P3, P10, P11)
The effect of the concentration of reactants on the porosity was studied by changing the FDA concentration in the synthesis of HCPs P3, P10, and P11. As shown in Supporting Information File 1, Figure S6 and in Table 2, the sorption isotherms of P10 and P11 are similar to the one of P7, which signifies the presence of permanent micropores and macropores in the polymers [41-44]. While the P3 porosity was composed of micropores and mesopores as above-mentioned, the pore size distribution of the three HCPs were similar and showed a narrow distribution in the micropores region and a pore size center at ca. 0.7 nm. The BET specific surface areas of P3, P10, and P11 were about the same (769 m2 g−1, 755 m2 g−1, 760 m2 g−1, respectively), the microporous surface area and the microporous volume were also similar. However, there were wide disparities in the total pore volume among the obtained polymers. The volume of P10 (1.11 cm3 g−1), P11 (1.27 cm3 g−1) was about twice that of P3 (0.63 cm3 g−1) which is owing to the extra generated macropores, and it is higher than many carbazole-based HCPs with similar BET specific surface area [19,20,24]. We conjecture that the concentration of FDA can affect the formation process and morphology of the polymers, when polymer particles agglomerate and stack together (Figure 4). We reached the conclusion that when varying the concentration of reactants slightly, a great increase of the pore volume can be accomplished without sacrificing the BET special surface area.
CO2 uptake behavior
The presence of many CO2-philic sites (N-bearing substituents) and narrow pore distribution in the networks could improve the molecular interaction with CO2 [18]. Hence, three polymers (P3, P10, and P11) were selected as representative samples to conduct CO2 adsorption experiments up to 1 bar at both 273 and 298 K (Figure 7). HCPs showed a similar and moderate CO2 uptake (Table 4). P11 displayed the optimal CO2 storage of 52.4 cm3 g−1 (10.4 wt %) at 1.0 bar/273 K. which was higher than that of the carbazole-based microporous polymers PBT-C1 (46 cm3 g−1) [26], CMPSO-1B3 (46.8 cm3 g−1) [24], CPOP2-4 (7.8–9.0 wt %) [19], tetraphenylmethane-based CPOP10 (SBET = 3337 m2 g−1, 9.1 wt %, at 298 K/1.00 bar) [45] or the melamine-based microporous PAN-NH-NH2 (9.7 wt %) [34]. There was no saturation observed when the pressure reached to 1 bar, indicating that a higher CO2 capacity could be obtained by further increasing the pressure. The isosteric heat (Qst) of each polymer was calculated based on the adsorption data at different temperature using the Clausius–Clapeyron equation (Supporting Information File 1, Figure S7). At the zero CO2 gas surface coverage, the limiting enthalpies of adsorption of the three samples was similar (P3:30 kJ/mol, P10:28 kJ/mol, P11:29 kJ/mol) and within the scope of physical adsorption [46], which was beneficial to the materials reuse.
Conclusion
Using the Friedel–Crafts reaction, 9-PCz microporous polymers (P1–P11) were prepared by varying the molar ratio of cross-linker to monomer (P1–P5), the reaction temperature T1 (P3, P6, and P7), the amount of catalyst used (P3, P8, and P9) and the concentration of reactants (P3, P10, and P11). The systematic study showed that the molar ratio of cross-linker to monomer was the main way to influence the BET specific surface area. A sufficient amount of cross-linker was the premise of a superior BET specific surface area. Increasing the reaction temperature T1 or the amount of catalyst used could increase the pore volume greatly but sacrificed in part the BET specific surface area. Changing concentration of reactants could remedy this situation. When slightly varying the concentration of reactants simultaneously, a high surface area and high total pore volume could be obtained. Those provided a reference for preparing HCPs using Friedel–Crafts polymerization. The BET specific surface area of the prepared HCPs was up to 769 m2 g−1, and the CO2 uptake capacity was up to 10.4 wt % at 273 K/1 bar.
Experimental
Materials
9-Phenylcarbazole, FDA and DCE were purchased from Aladdin Chemical Reagent Corp. (Shanghai, China). FeCl3 were acquired from the Macklin Chemical Reagent Ltd Co. (Shanghai, China). Methanol, THF, HCl, and distilled water were obtained from TONG GUANG Fine Chemicals Company (Beijing, China). Unless stated otherwise, all solvents and chemicals were used without further purification.
Characterization methods
Fourier-transform infrared (FTIR) spectra of HCPs were obtained by using a Nicolet 6700 spectrometer over a wave number range of 4000–400 cm−1 by scanning 32 times at a resolution of 4 cm−1. TG analysis of the polymers were conducted with a NETZSCH TG 209F1 TG analyzer for 40–800 °C at a heating rate of 10 °C min−1 under a nitrogen flow of 50 mL min−1. The X-ray diffraction (XRD) patterns of the as prepared polymers were collected using a PANalytical X’pert Pro MPD diffractometer with Cu Kα radiation at room temperature, with step size of 0.0202°, 2θ ranging from 5.0 to 60°. Scanning electron microscope (SEM) measurements of obtained samples were carried out using a Hitachi SU1510 microscope. The nitrogen adsorption and desorption and the CO2 adsorption and desorption isotherms of HCPs were obtained using a GAPP V-Sorb 2800P BET surface area and pore volume analyzer. Polymers were degassed at 100 °C for over 10 h under vacuum before all gas analysis experiments.
Synthesis HCPs
The synthetic illustration of HCPs is depicted in Scheme 1. Using the Friedel–Crafts reaction, P1–P11 have been made by changing the molar ratio of building unit to cross-linker (P1–P5), the reaction temperature T1 (P3, P6, and P7), the amount of catalyst (P3, P8, and P9) and the amount of solvent used (P3, P10, and P11). The synthesis of P3 as representative procedure is given in detail: Under a nitrogen atmosphere, 9-PCz (0.67 mmol, 0.163 g), FDA (2 mmol, 0.152 g) were dispersed in DCE (18 mL) and then anhydrous FeCl3 (4 mmol, 0.64 g) was added to the dispersion; the mixture was allowed to react at room temperature for 5 h, then at 80 °C for 19 h with vigorous stirring. Then the mixture was cooled to room temperature and quenched by using 20 mL of CH3OH. Then the solid product was separated by filtration, and the solid product was washed with first methanol, followed by THF, HCl/H2O 2:1 (v/v) and distilled water successively, further purified by Soxhlet extraction with MeOH for 24 h and then THF for another 24 h. Finally, the product was dried in a vacuum oven at 100 °C for 24 h. The obtained polymer material was obtained as a brown solid.
The synthesis of other polymers was similar as P3, only the monomer amount or other experimental conditions were varied as shown in Table 1. Although washed excessively, the yield of the polymers still exceeded 100% which was due to the adsorbed catalyst or solvent in the pore structure [15]. All obtained samples were colored ranging from pale brown to dark brown.
Supporting Information
Supporting Information File 1: Additional experimental results. | ||
Format: PDF | Size: 658.6 KB | Download |
References
-
Li, B.; Guan, Z.; Wang, W.; Yang, X.; Hu, J.; Tan, B.; Li, T. Adv. Mater. (Weinheim, Ger.) 2012, 24, 3390–3395. doi:10.1002/adma.201200804
Return to citation in text: [1] -
Sekerová, L.; Lhotka, M.; Vyskočilová, E.; Faukner, T.; Slováková, E.; Brus, J.; Červený, L.; Sedláček, J. Chem. – Eur. J. 2018, 24, 14742–14749. doi:10.1002/chem.201802432
Return to citation in text: [1] [2] -
Chaoui, N.; Trunk, M.; Dawson, R.; Schmidt, J.; Thomas, A. Chem. Soc. Rev. 2017, 46, 3302–3321. doi:10.1039/c7cs00071e
Return to citation in text: [1] -
Xu, C.; Wang, H.; Wang, Q.; Wang, Y.; Zhang, Y.; Fan, G. Appl. Surf. Sci. 2019, 466, 193–201. doi:10.1016/j.apsusc.2018.10.051
Return to citation in text: [1] [2] -
Liang, H.-P.; Chen, Q.; Han, B.-H. ACS Catal. 2018, 8, 5313–5322. doi:10.1021/acscatal.7b04494
Return to citation in text: [1] -
Zhang, W.; Tang, J.; Yu, W.; Huang, Q.; Fu, Y.; Kuang, G.; Pan, C.; Yu, G. ACS Catal. 2018, 8, 8084–8091. doi:10.1021/acscatal.8b01478
Return to citation in text: [1] [2] [3] -
Zhai, T.-L.; Tan, L.; Luo, Y.; Liu, J.-M.; Tan, B.; Yang, X.-L.; Xu, H.-B.; Zhang, C. Chem. – Asian J. 2016, 11, 294–298. doi:10.1002/asia.201501105
Return to citation in text: [1] -
Wang, X.; Zhao, Y.; Wei, L.; Zhang, C.; Yang, X.; Yu, M.; Jiang, J.-X. Macromol. Chem. Phys. 2015, 216, 504–510. doi:10.1002/macp.201400508
Return to citation in text: [1] -
Deka, N.; Barman, J.; Deka, J.; Raidongia, K.; Dutta, G. K. ChemElectroChem 2019, 6, 3327–3336. doi:10.1002/celc.201900825
Return to citation in text: [1] [2] [3] -
Dawson, R.; Stevens, L. A.; Drage, T. C.; Snape, C. E.; Smith, M. W.; Adams, D. J.; Cooper, A. I. J. Am. Chem. Soc. 2012, 134, 10741–10744. doi:10.1021/ja301926h
Return to citation in text: [1] [2] -
Zhu, X.; Tian, C.; Jin, T.; Browning, K. L.; Sacci, R. L.; Veith, G. M.; Dai, S. ACS Macro Lett. 2017, 6, 1056–1059. doi:10.1021/acsmacrolett.7b00480
Return to citation in text: [1] -
Hou, S.; Tan, B. Macromolecules 2018, 51, 2923–2931. doi:10.1021/acs.macromol.8b00274
Return to citation in text: [1] [2] -
Zhu, T.; Xie, F.; Huang, T.; Tian, K.; Wu, Z.; Yang, H.; Li, L. ACS Macro Lett. 2018, 7, 1283–1288. doi:10.1021/acsmacrolett.8b00688
Return to citation in text: [1] -
Hou, S.; Razzaque, S.; Tan, B. Polym. Chem. 2019, 10, 1299–1311. doi:10.1039/c8py01730a
Return to citation in text: [1] -
Li, B.; Gong, R.; Wang, W.; Huang, X.; Zhang, W.; Li, H.; Hu, C.; Tan, B. Macromolecules 2011, 44, 2410–2414. doi:10.1021/ma200630s
Return to citation in text: [1] [2] -
Zhang, C.; Zhu, P.-C.; Tan, L.; Liu, J.-M.; Tan, B.; Yang, X.-L.; Xu, H.-B. Macromolecules 2015, 48, 8509–8514. doi:10.1021/acs.macromol.5b02222
Return to citation in text: [1] [2] [3] -
Song, K.; Zou, Z.; Wang, D.; Tan, B.; Wang, J.; Chen, J.; Li, T. J. Phys. Chem. C 2016, 120, 2187–2197. doi:10.1021/acs.jpcc.5b10358
Return to citation in text: [1] -
Saleh, M.; Lee, H. M.; Kemp, K. C.; Kim, K. S. ACS Appl. Mater. Interfaces 2014, 6, 7325–7333. doi:10.1021/am500728q
Return to citation in text: [1] [2] [3] -
Chen, Q.; Liu, D.-P.; Luo, M.; Feng, L.-J.; Zhao, Y.-C.; Han, B.-H. Small 2014, 10, 308–315. doi:10.1002/smll.201301618
Return to citation in text: [1] [2] [3] [4] -
Zhang, X.; Lu, J.; Zhang, J. Chem. Mater. 2014, 26, 4023–4029. doi:10.1021/cm501717c
Return to citation in text: [1] [2] [3] [4] [5] -
Jiang, F.; Jin, T.; Zhu, X.; Tian, Z.; Do-Thanh, C.-L.; Hu, J.; Jiang, D.-e.; Wang, H.; Liu, H.; Dai, S. Macromolecules 2016, 49, 5325–5330. doi:10.1021/acs.macromol.6b01342
Return to citation in text: [1] [2] -
Luo, J.; Zhang, X.; Zhang, J. ACS Catal. 2015, 5, 2250–2254. doi:10.1021/acscatal.5b00025
Return to citation in text: [1] -
Jin, T.; Xiong, Y.; Zhu, X.; Tian, Z.; Tao, D.-J.; Hu, J.; Jiang, D.-e.; Wang, H.; Liu, H.; Dai, S. Chem. Commun. 2016, 52, 4454–4457. doi:10.1039/c6cc00573j
Return to citation in text: [1] [2] -
Yuan, Y.; Huang, H.; Chen, L.; Chen, Y. Macromolecules 2017, 50, 4993–5003. doi:10.1021/acs.macromol.7b00971
Return to citation in text: [1] [2] [3] [4] -
Zhang, R.-R.; Yin, Q.; Liang, H.-P.; Chen, Q.; Luo, W.-H.; Han, B.-H. Polymer 2018, 143, 87–95. doi:10.1016/j.polymer.2018.03.062
Return to citation in text: [1] [2] -
Qiao, S.; Li, Z.; Zhang, B.; Li, Q.; Jin, W.; Zhang, Y.; Wang, W.; Li, Q.; Liu, X. Microporous Mesoporous Mater. 2019, 284, 205–211. doi:10.1016/j.micromeso.2019.03.042
Return to citation in text: [1] [2] [3] -
Yin, Q.; Chen, Q.; Lu, L.-C.; Han, B.-H. Beilstein J. Org. Chem. 2017, 13, 1212–1221. doi:10.3762/bjoc.13.120
Return to citation in text: [1] [2] -
Wang, T.; Zhao, Y.-C.; Zhang, L.-M.; Cui, Y.; Zhang, C.-S.; Han, B.-H. Beilstein J. Org. Chem. 2017, 13, 2131–2137. doi:10.3762/bjoc.13.211
Return to citation in text: [1] [2] -
Thirion, D.; Lee, J. S.; Özdemir, E.; Yavuz, C. T. Beilstein J. Org. Chem. 2016, 12, 2274–2279. doi:10.3762/bjoc.12.220
Return to citation in text: [1] [2] -
Samanta, P.; Chandra, P.; Ghosh, S. K. Beilstein J. Org. Chem. 2016, 12, 1981–1986. doi:10.3762/bjoc.12.185
Return to citation in text: [1] [2] -
Lang, M.; Schade, A.; Bräse, S. Beilstein J. Org. Chem. 2016, 12, 2570–2576. doi:10.3762/bjoc.12.252
Return to citation in text: [1] [2] -
Cantín, Á.; Gomez, M. V.; de la Hoz, A. Beilstein J. Org. Chem. 2016, 12, 2181–2188. doi:10.3762/bjoc.12.208
Return to citation in text: [1] [2] -
Zhu, J.-H.; Chen, Q.; Sui, Z.-Y.; Pan, L.; Yu, J.; Han, B.-H. J. Mater. Chem. A 2014, 2, 16181–16189. doi:10.1039/c4ta01537a
Return to citation in text: [1] [2] -
Zhang, B.; Yan, J.; Li, G.; Wang, Z. Polym. Chem. 2019, 10, 3371–3379. doi:10.1039/c9py00465c
Return to citation in text: [1] [2] -
Su, H.; Du, Y.; Zhang, J.; Peng, P.; Li, S.; Chen, P.; Gozin, M.; Pang, S. ACS Appl. Mater. Interfaces 2018, 10, 32828–32837. doi:10.1021/acsami.8b09284
Return to citation in text: [1] -
Sing, K. S. W. Pure Appl. Chem. 1985, 57, 603–619. doi:10.1351/pac198557040603
Return to citation in text: [1] -
Zhou, J.-X.; Luo, X.-S.; Liu, X.; Qiao, Y.; Wang, P.; Mecerreyes, D.; Bogliotti, N.; Chen, S.-L.; Huang, M.-H. J. Mater. Chem. A 2018, 6, 5608–5612. doi:10.1039/c8ta00341f
Return to citation in text: [1] -
Fu, H.-X.; Zhang, Z.-H.; Fan, W.; Wang, S.; Liu, Y.; Huang, M.-H. J. Mater. Chem. A 2019, 7, 15048–15053. doi:10.1039/c9ta04594e
Return to citation in text: [1] -
Zhang, A.; Gao, H.; Li, W.; Bai, H.; Wu, S.; Zeng, Y.; Cui, W.; Zhou, X.; Li, L. Polymer 2016, 101, 388–394. doi:10.1016/j.polymer.2016.08.088
Return to citation in text: [1] -
Deka, N.; Deka, J.; Dutta, G. K. ChemistrySelect 2018, 3, 8483–8490. doi:10.1002/slct.201801507
Return to citation in text: [1] -
Yao, C.; Cui, D.; Zhu, Y.; Xie, W.; Zhang, S.; Xu, G.; Xu, Y. New J. Chem. 2019, 43, 6838–6842. doi:10.1039/c9nj00688e
Return to citation in text: [1] -
Xiong, S.; Tang, X.; Pan, C.; Li, L.; Tang, J.; Yu, G. ACS Appl. Mater. Interfaces 2019, 11, 27335–27342. doi:10.1021/acsami.9b07679
Return to citation in text: [1] -
Zhi, Y.; Yao, Z.; Jiang, W.; Xia, H.; Shi, Z.; Mu, Y.; Liu, X. ACS Appl. Mater. Interfaces 2019, 11, 37578–37585. doi:10.1021/acsami.9b10958
Return to citation in text: [1] -
Gu, C.; Bao, Y.; Huang, W.; Liu, D.; Yang, R. Macromol. Chem. Phys. 2016, 217, 748–756. doi:10.1002/macp.201500420
Return to citation in text: [1] -
Xiang, Z.; Mercado, R.; Huck, J. M.; Wang, H.; Guo, Z.; Wang, W.; Cao, D.; Haranczyk, M.; Smit, B. J. Am. Chem. Soc. 2015, 137, 13301–13307. doi:10.1021/jacs.5b06266
Return to citation in text: [1] -
Madani, S. H.; Rodríguez-Reinoso, F.; Biggs, M. J.; Pendleton, P. J. Chem. Eng. Data 2018, 63, 3107–3116. doi:10.1021/acs.jced.8b00363
Return to citation in text: [1]
37. | Zhou, J.-X.; Luo, X.-S.; Liu, X.; Qiao, Y.; Wang, P.; Mecerreyes, D.; Bogliotti, N.; Chen, S.-L.; Huang, M.-H. J. Mater. Chem. A 2018, 6, 5608–5612. doi:10.1039/c8ta00341f |
38. | Fu, H.-X.; Zhang, Z.-H.; Fan, W.; Wang, S.; Liu, Y.; Huang, M.-H. J. Mater. Chem. A 2019, 7, 15048–15053. doi:10.1039/c9ta04594e |
39. | Zhang, A.; Gao, H.; Li, W.; Bai, H.; Wu, S.; Zeng, Y.; Cui, W.; Zhou, X.; Li, L. Polymer 2016, 101, 388–394. doi:10.1016/j.polymer.2016.08.088 |
1. | Li, B.; Guan, Z.; Wang, W.; Yang, X.; Hu, J.; Tan, B.; Li, T. Adv. Mater. (Weinheim, Ger.) 2012, 24, 3390–3395. doi:10.1002/adma.201200804 |
10. | Dawson, R.; Stevens, L. A.; Drage, T. C.; Snape, C. E.; Smith, M. W.; Adams, D. J.; Cooper, A. I. J. Am. Chem. Soc. 2012, 134, 10741–10744. doi:10.1021/ja301926h |
10. | Dawson, R.; Stevens, L. A.; Drage, T. C.; Snape, C. E.; Smith, M. W.; Adams, D. J.; Cooper, A. I. J. Am. Chem. Soc. 2012, 134, 10741–10744. doi:10.1021/ja301926h |
26. | Qiao, S.; Li, Z.; Zhang, B.; Li, Q.; Jin, W.; Zhang, Y.; Wang, W.; Li, Q.; Liu, X. Microporous Mesoporous Mater. 2019, 284, 205–211. doi:10.1016/j.micromeso.2019.03.042 |
4. | Xu, C.; Wang, H.; Wang, Q.; Wang, Y.; Zhang, Y.; Fan, G. Appl. Surf. Sci. 2019, 466, 193–201. doi:10.1016/j.apsusc.2018.10.051 |
5. | Liang, H.-P.; Chen, Q.; Han, B.-H. ACS Catal. 2018, 8, 5313–5322. doi:10.1021/acscatal.7b04494 |
6. | Zhang, W.; Tang, J.; Yu, W.; Huang, Q.; Fu, Y.; Kuang, G.; Pan, C.; Yu, G. ACS Catal. 2018, 8, 8084–8091. doi:10.1021/acscatal.8b01478 |
7. | Zhai, T.-L.; Tan, L.; Luo, Y.; Liu, J.-M.; Tan, B.; Yang, X.-L.; Xu, H.-B.; Zhang, C. Chem. – Asian J. 2016, 11, 294–298. doi:10.1002/asia.201501105 |
8. | Wang, X.; Zhao, Y.; Wei, L.; Zhang, C.; Yang, X.; Yu, M.; Jiang, J.-X. Macromol. Chem. Phys. 2015, 216, 504–510. doi:10.1002/macp.201400508 |
9. | Deka, N.; Barman, J.; Deka, J.; Raidongia, K.; Dutta, G. K. ChemElectroChem 2019, 6, 3327–3336. doi:10.1002/celc.201900825 |
6. | Zhang, W.; Tang, J.; Yu, W.; Huang, Q.; Fu, Y.; Kuang, G.; Pan, C.; Yu, G. ACS Catal. 2018, 8, 8084–8091. doi:10.1021/acscatal.8b01478 |
19. | Chen, Q.; Liu, D.-P.; Luo, M.; Feng, L.-J.; Zhao, Y.-C.; Han, B.-H. Small 2014, 10, 308–315. doi:10.1002/smll.201301618 |
20. | Zhang, X.; Lu, J.; Zhang, J. Chem. Mater. 2014, 26, 4023–4029. doi:10.1021/cm501717c |
21. | Jiang, F.; Jin, T.; Zhu, X.; Tian, Z.; Do-Thanh, C.-L.; Hu, J.; Jiang, D.-e.; Wang, H.; Liu, H.; Dai, S. Macromolecules 2016, 49, 5325–5330. doi:10.1021/acs.macromol.6b01342 |
22. | Luo, J.; Zhang, X.; Zhang, J. ACS Catal. 2015, 5, 2250–2254. doi:10.1021/acscatal.5b00025 |
23. | Jin, T.; Xiong, Y.; Zhu, X.; Tian, Z.; Tao, D.-J.; Hu, J.; Jiang, D.-e.; Wang, H.; Liu, H.; Dai, S. Chem. Commun. 2016, 52, 4454–4457. doi:10.1039/c6cc00573j |
24. | Yuan, Y.; Huang, H.; Chen, L.; Chen, Y. Macromolecules 2017, 50, 4993–5003. doi:10.1021/acs.macromol.7b00971 |
25. | Zhang, R.-R.; Yin, Q.; Liang, H.-P.; Chen, Q.; Luo, W.-H.; Han, B.-H. Polymer 2018, 143, 87–95. doi:10.1016/j.polymer.2018.03.062 |
26. | Qiao, S.; Li, Z.; Zhang, B.; Li, Q.; Jin, W.; Zhang, Y.; Wang, W.; Li, Q.; Liu, X. Microporous Mesoporous Mater. 2019, 284, 205–211. doi:10.1016/j.micromeso.2019.03.042 |
27. | Yin, Q.; Chen, Q.; Lu, L.-C.; Han, B.-H. Beilstein J. Org. Chem. 2017, 13, 1212–1221. doi:10.3762/bjoc.13.120 |
28. | Wang, T.; Zhao, Y.-C.; Zhang, L.-M.; Cui, Y.; Zhang, C.-S.; Han, B.-H. Beilstein J. Org. Chem. 2017, 13, 2131–2137. doi:10.3762/bjoc.13.211 |
29. | Thirion, D.; Lee, J. S.; Özdemir, E.; Yavuz, C. T. Beilstein J. Org. Chem. 2016, 12, 2274–2279. doi:10.3762/bjoc.12.220 |
30. | Samanta, P.; Chandra, P.; Ghosh, S. K. Beilstein J. Org. Chem. 2016, 12, 1981–1986. doi:10.3762/bjoc.12.185 |
31. | Lang, M.; Schade, A.; Bräse, S. Beilstein J. Org. Chem. 2016, 12, 2570–2576. doi:10.3762/bjoc.12.252 |
32. | Cantín, Á.; Gomez, M. V.; de la Hoz, A. Beilstein J. Org. Chem. 2016, 12, 2181–2188. doi:10.3762/bjoc.12.208 |
24. | Yuan, Y.; Huang, H.; Chen, L.; Chen, Y. Macromolecules 2017, 50, 4993–5003. doi:10.1021/acs.macromol.7b00971 |
3. | Chaoui, N.; Trunk, M.; Dawson, R.; Schmidt, J.; Thomas, A. Chem. Soc. Rev. 2017, 46, 3302–3321. doi:10.1039/c7cs00071e |
17. | Song, K.; Zou, Z.; Wang, D.; Tan, B.; Wang, J.; Chen, J.; Li, T. J. Phys. Chem. C 2016, 120, 2187–2197. doi:10.1021/acs.jpcc.5b10358 |
19. | Chen, Q.; Liu, D.-P.; Luo, M.; Feng, L.-J.; Zhao, Y.-C.; Han, B.-H. Small 2014, 10, 308–315. doi:10.1002/smll.201301618 |
20. | Zhang, X.; Lu, J.; Zhang, J. Chem. Mater. 2014, 26, 4023–4029. doi:10.1021/cm501717c |
24. | Yuan, Y.; Huang, H.; Chen, L.; Chen, Y. Macromolecules 2017, 50, 4993–5003. doi:10.1021/acs.macromol.7b00971 |
2. | Sekerová, L.; Lhotka, M.; Vyskočilová, E.; Faukner, T.; Slováková, E.; Brus, J.; Červený, L.; Sedláček, J. Chem. – Eur. J. 2018, 24, 14742–14749. doi:10.1002/chem.201802432 |
18. | Saleh, M.; Lee, H. M.; Kemp, K. C.; Kim, K. S. ACS Appl. Mater. Interfaces 2014, 6, 7325–7333. doi:10.1021/am500728q |
18. | Saleh, M.; Lee, H. M.; Kemp, K. C.; Kim, K. S. ACS Appl. Mater. Interfaces 2014, 6, 7325–7333. doi:10.1021/am500728q |
14. | Hou, S.; Razzaque, S.; Tan, B. Polym. Chem. 2019, 10, 1299–1311. doi:10.1039/c8py01730a |
16. | Zhang, C.; Zhu, P.-C.; Tan, L.; Liu, J.-M.; Tan, B.; Yang, X.-L.; Xu, H.-B. Macromolecules 2015, 48, 8509–8514. doi:10.1021/acs.macromol.5b02222 |
20. | Zhang, X.; Lu, J.; Zhang, J. Chem. Mater. 2014, 26, 4023–4029. doi:10.1021/cm501717c |
33. | Zhu, J.-H.; Chen, Q.; Sui, Z.-Y.; Pan, L.; Yu, J.; Han, B.-H. J. Mater. Chem. A 2014, 2, 16181–16189. doi:10.1039/c4ta01537a |
2. | Sekerová, L.; Lhotka, M.; Vyskočilová, E.; Faukner, T.; Slováková, E.; Brus, J.; Červený, L.; Sedláček, J. Chem. – Eur. J. 2018, 24, 14742–14749. doi:10.1002/chem.201802432 |
13. | Zhu, T.; Xie, F.; Huang, T.; Tian, K.; Wu, Z.; Yang, H.; Li, L. ACS Macro Lett. 2018, 7, 1283–1288. doi:10.1021/acsmacrolett.8b00688 |
4. | Xu, C.; Wang, H.; Wang, Q.; Wang, Y.; Zhang, Y.; Fan, G. Appl. Surf. Sci. 2019, 466, 193–201. doi:10.1016/j.apsusc.2018.10.051 |
41. | Yao, C.; Cui, D.; Zhu, Y.; Xie, W.; Zhang, S.; Xu, G.; Xu, Y. New J. Chem. 2019, 43, 6838–6842. doi:10.1039/c9nj00688e |
42. | Xiong, S.; Tang, X.; Pan, C.; Li, L.; Tang, J.; Yu, G. ACS Appl. Mater. Interfaces 2019, 11, 27335–27342. doi:10.1021/acsami.9b07679 |
43. | Zhi, Y.; Yao, Z.; Jiang, W.; Xia, H.; Shi, Z.; Mu, Y.; Liu, X. ACS Appl. Mater. Interfaces 2019, 11, 37578–37585. doi:10.1021/acsami.9b10958 |
44. | Gu, C.; Bao, Y.; Huang, W.; Liu, D.; Yang, R. Macromol. Chem. Phys. 2016, 217, 748–756. doi:10.1002/macp.201500420 |
12. | Hou, S.; Tan, B. Macromolecules 2018, 51, 2923–2931. doi:10.1021/acs.macromol.8b00274 |
18. | Saleh, M.; Lee, H. M.; Kemp, K. C.; Kim, K. S. ACS Appl. Mater. Interfaces 2014, 6, 7325–7333. doi:10.1021/am500728q |
11. | Zhu, X.; Tian, C.; Jin, T.; Browning, K. L.; Sacci, R. L.; Veith, G. M.; Dai, S. ACS Macro Lett. 2017, 6, 1056–1059. doi:10.1021/acsmacrolett.7b00480 |
15. | Li, B.; Gong, R.; Wang, W.; Huang, X.; Zhang, W.; Li, H.; Hu, C.; Tan, B. Macromolecules 2011, 44, 2410–2414. doi:10.1021/ma200630s |
40. | Deka, N.; Deka, J.; Dutta, G. K. ChemistrySelect 2018, 3, 8483–8490. doi:10.1002/slct.201801507 |
27. | Yin, Q.; Chen, Q.; Lu, L.-C.; Han, B.-H. Beilstein J. Org. Chem. 2017, 13, 1212–1221. doi:10.3762/bjoc.13.120 |
28. | Wang, T.; Zhao, Y.-C.; Zhang, L.-M.; Cui, Y.; Zhang, C.-S.; Han, B.-H. Beilstein J. Org. Chem. 2017, 13, 2131–2137. doi:10.3762/bjoc.13.211 |
29. | Thirion, D.; Lee, J. S.; Özdemir, E.; Yavuz, C. T. Beilstein J. Org. Chem. 2016, 12, 2274–2279. doi:10.3762/bjoc.12.220 |
30. | Samanta, P.; Chandra, P.; Ghosh, S. K. Beilstein J. Org. Chem. 2016, 12, 1981–1986. doi:10.3762/bjoc.12.185 |
31. | Lang, M.; Schade, A.; Bräse, S. Beilstein J. Org. Chem. 2016, 12, 2570–2576. doi:10.3762/bjoc.12.252 |
32. | Cantín, Á.; Gomez, M. V.; de la Hoz, A. Beilstein J. Org. Chem. 2016, 12, 2181–2188. doi:10.3762/bjoc.12.208 |
6. | Zhang, W.; Tang, J.; Yu, W.; Huang, Q.; Fu, Y.; Kuang, G.; Pan, C.; Yu, G. ACS Catal. 2018, 8, 8084–8091. doi:10.1021/acscatal.8b01478 |
19. | Chen, Q.; Liu, D.-P.; Luo, M.; Feng, L.-J.; Zhao, Y.-C.; Han, B.-H. Small 2014, 10, 308–315. doi:10.1002/smll.201301618 |
20. | Zhang, X.; Lu, J.; Zhang, J. Chem. Mater. 2014, 26, 4023–4029. doi:10.1021/cm501717c |
21. | Jiang, F.; Jin, T.; Zhu, X.; Tian, Z.; Do-Thanh, C.-L.; Hu, J.; Jiang, D.-e.; Wang, H.; Liu, H.; Dai, S. Macromolecules 2016, 49, 5325–5330. doi:10.1021/acs.macromol.6b01342 |
23. | Jin, T.; Xiong, Y.; Zhu, X.; Tian, Z.; Tao, D.-J.; Hu, J.; Jiang, D.-e.; Wang, H.; Liu, H.; Dai, S. Chem. Commun. 2016, 52, 4454–4457. doi:10.1039/c6cc00573j |
24. | Yuan, Y.; Huang, H.; Chen, L.; Chen, Y. Macromolecules 2017, 50, 4993–5003. doi:10.1021/acs.macromol.7b00971 |
25. | Zhang, R.-R.; Yin, Q.; Liang, H.-P.; Chen, Q.; Luo, W.-H.; Han, B.-H. Polymer 2018, 143, 87–95. doi:10.1016/j.polymer.2018.03.062 |
19. | Chen, Q.; Liu, D.-P.; Luo, M.; Feng, L.-J.; Zhao, Y.-C.; Han, B.-H. Small 2014, 10, 308–315. doi:10.1002/smll.201301618 |
26. | Qiao, S.; Li, Z.; Zhang, B.; Li, Q.; Jin, W.; Zhang, Y.; Wang, W.; Li, Q.; Liu, X. Microporous Mesoporous Mater. 2019, 284, 205–211. doi:10.1016/j.micromeso.2019.03.042 |
45. | Xiang, Z.; Mercado, R.; Huck, J. M.; Wang, H.; Guo, Z.; Wang, W.; Cao, D.; Haranczyk, M.; Smit, B. J. Am. Chem. Soc. 2015, 137, 13301–13307. doi:10.1021/jacs.5b06266 |
34. | Zhang, B.; Yan, J.; Li, G.; Wang, Z. Polym. Chem. 2019, 10, 3371–3379. doi:10.1039/c9py00465c |
35. | Su, H.; Du, Y.; Zhang, J.; Peng, P.; Li, S.; Chen, P.; Gozin, M.; Pang, S. ACS Appl. Mater. Interfaces 2018, 10, 32828–32837. doi:10.1021/acsami.8b09284 |
36. | Sing, K. S. W. Pure Appl. Chem. 1985, 57, 603–619. doi:10.1351/pac198557040603 |
34. | Zhang, B.; Yan, J.; Li, G.; Wang, Z. Polym. Chem. 2019, 10, 3371–3379. doi:10.1039/c9py00465c |
12. | Hou, S.; Tan, B. Macromolecules 2018, 51, 2923–2931. doi:10.1021/acs.macromol.8b00274 |
9. | Deka, N.; Barman, J.; Deka, J.; Raidongia, K.; Dutta, G. K. ChemElectroChem 2019, 6, 3327–3336. doi:10.1002/celc.201900825 |
16. | Zhang, C.; Zhu, P.-C.; Tan, L.; Liu, J.-M.; Tan, B.; Yang, X.-L.; Xu, H.-B. Macromolecules 2015, 48, 8509–8514. doi:10.1021/acs.macromol.5b02222 |
16. | Zhang, C.; Zhu, P.-C.; Tan, L.; Liu, J.-M.; Tan, B.; Yang, X.-L.; Xu, H.-B. Macromolecules 2015, 48, 8509–8514. doi:10.1021/acs.macromol.5b02222 |
20. | Zhang, X.; Lu, J.; Zhang, J. Chem. Mater. 2014, 26, 4023–4029. doi:10.1021/cm501717c |
46. | Madani, S. H.; Rodríguez-Reinoso, F.; Biggs, M. J.; Pendleton, P. J. Chem. Eng. Data 2018, 63, 3107–3116. doi:10.1021/acs.jced.8b00363 |
9. | Deka, N.; Barman, J.; Deka, J.; Raidongia, K.; Dutta, G. K. ChemElectroChem 2019, 6, 3327–3336. doi:10.1002/celc.201900825 |
33. | Zhu, J.-H.; Chen, Q.; Sui, Z.-Y.; Pan, L.; Yu, J.; Han, B.-H. J. Mater. Chem. A 2014, 2, 16181–16189. doi:10.1039/c4ta01537a |
15. | Li, B.; Gong, R.; Wang, W.; Huang, X.; Zhang, W.; Li, H.; Hu, C.; Tan, B. Macromolecules 2011, 44, 2410–2414. doi:10.1021/ma200630s |
© 2019 Fang et al.; licensee Beilstein-Institut.
This is an Open Access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0). Please note that the reuse, redistribution and reproduction in particular requires that the authors and source are credited.
The license is subject to the Beilstein Journal of Organic Chemistry terms and conditions: (https://www.beilstein-journals.org/bjoc)