journal article·2023-12-12

Poly(ethylene oxide)-block-poly(hexyl acrylate) Copolymers as Templates for Large Mesopore Sizes─A Detailed Porosity Analysis

Lysander Q. Wagner, Eric Prates da Costa, Chantal Glatthaar, Frederik Breckwoldt, Marco Zecca, Paolo Centomo, Xiaohui Huang, Christian Kübel, Helmut Schlaad, Manfred Kriechbaum, Heinz Amenitsch, Matthias Thommes, Bernd M. Smarsly

Chemistry of Materials· Volume 35· Issue 23
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Abstract

Mesoporous materials with defined pore geometry act as important models for porous substances being applied in various fields of materials research due to their large surface area─from catalysis to coatings and from solar cells to batteries and capacitors. Thus, understanding structure-property relationships requires the capability of deliberately and precisely tuning the mesoporosity, i.e., pore diameter, connectivity, and wall thickness. However, especially for the interesting pore size range between 35 and 70 nm, only a few convenient block copolymer templates are available using micellar self-assembly. In this study, we synthesized poly(ethylene oxide)- block -poly(hexyl acrylate) copolymers (PEO- b -PHA) by a supplemental activator reducing agent atom transfer radical polymerization (SARA ATRP) and employed them as soft templates for the preparation of ordered mesoporous metal oxide powders with spherical mesopores of ca. 40 nm in diameter, as shown by scanning electron microscopy (SEM), scanning transmission electron microscopy (STEM), and small-angle X-ray scattering (SAXS). With the aid of argon physisorption, STEM-based tomography, and time-of-flight secondary ion mass spectrometry (ToF-SIMS), we performed in-depth elucidation of pore shape and their mutual connection. In the case of mesoporous silica, 40 nm spherical mesopores are connected to 3–4 adjacent pores by 15 nm pore windows as well as 1–2 nm-sized micropores. These micropores seem to originate from single PEO chains penetrating the 17 nm thick pore wall. Compared to such mesoporous silica, mesoporous, crystalline zirconia possesses significantly higher pore accessibility. Furthermore, we prepared a set of PEO- b -PHA block copolymers with different block lengths, showing that mainly the PHA block length governs the mesopore size and thus enables mesopore size tuning. These results highlight that PEO- b -PHA is a promising template for the preparation of mesoporous metal oxides (in particular, crystalline ones) with tailored mesopore sizes, which enables systematic studies on property-porosity relationships.
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Research context

OpenAlex topics: Mesoporous Materials and Catalysis · Polyoxometalates: Synthesis and Applications · Metal-Organic Frameworks: Synthesis and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Physical Chemistry, Justus-Liebig University, Heinrich-Buff-Ring 17, D-35392 Giessen, Germany

Center of Materials Research, Justus-Liebig University, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany

Umicore AG & Co. KG, Rodenbacher Chaussee 4, D-63457 Hanau, Germany

Department of Chemical Sciences, University of Padova, via Marzolo 1, I-35131 Padova, Italy

Institute of Nanotechnology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, D-76344 Eggenstein, Leopoldshafen, Germany

Department of Materials and Earth Science, Technical University Darmstadt, Alarich-Weiss-Str. 2, D-64287 Darmstadt, Germany

Karlsruhe Nano Micro Facility, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, D-76344 Eggenstein, Leopoldshafen, Germany

Institute of Chemistry, University of Potsdam, Karl-Liebknecht-Str. 24-25, D-14476 Potsdam, Germany

Institute of Inorganic Chemistry, Graz University of Technology, Stremayrgasse 9, A-8010 Graz, Austria

Department of Chemical and Bioengineering, Friedrich-Alexander University, Egerlandstr. 3, D-91058 Erlangen, Germany

Funding

Fonds der Chemischen Industrie · China Scholarship Council

References (100+)

Show source-provided references
1. 10.1038/s41557-018-0081-010.1038/s41557-018-0081-0 ↗
2. 10.1039/C6TA10896B10.1039/C6TA10896B ↗
3. 10.1021/acsanm.0c0099410.1021/acsanm.0c00994 ↗
4. 10.1016/j.apcatb.2020.11866010.1016/j.apcatb.2020.118660 ↗
5. 10.1002/aenm.20160020810.1002/aenm.201600208 ↗
6. 10.1039/C7NR09251B10.1039/C7NR09251B ↗
7. 10.1021/nn204220c10.1021/nn204220c ↗
8. 10.1021/acsami.7b1829910.1021/acsami.7b18299 ↗
9. 10.1002/cctc.20120064010.1002/cctc.201200640 ↗
10. 10.1002/cctc.20120041610.1002/cctc.201200416 ↗
11. 10.1038/353737a010.1038/353737a0 ↗
12. 10.1038/2693610.1038/26936 ↗
13. 10.1021/acsami.1c0613510.1021/acsami.1c06135 ↗
14. 10.1021/nn100476510.1021/nn1004765 ↗
15. 10.1088/1468-6996/12/2/02500510.1088/1468-6996/12/2/025005 ↗
16. 10.1002/adfm.20200782610.1002/adfm.202007826 ↗
17. 10.1002/sstr.20220018410.1002/sstr.202200184 ↗
18. 10.1002/adfm.20140128410.1002/adfm.201401284 ↗
19. 10.1021/acs.jpcc.9b0206910.1021/acs.jpcc.9b02069 ↗
20. 10.1016/0079-6786(88)90005-210.1016/0079-6786(88)90005-2 ↗
21. 10.1021/ja030070g10.1021/ja030070g ↗
22. 10.1021/cr020006210.1021/cr0200062 ↗
23. 10.1039/C6CS00829A10.1039/C6CS00829A ↗
24. 10.1038/1841010.1038/18410 ↗
25. 10.1002/(SICI)1521-4095(199905)11:7<579::AID-ADMA579>3.0.CO;2-R10.1002/(SICI)1521-4095(199905)11:7<579::AID-ADMA579>3.0.CO;2-R ↗
26. 10.1002/adfm.20030503610.1002/adfm.200305036 ↗
27. 10.1021/acs.langmuir.9b0245510.1021/acs.langmuir.9b02455 ↗
28. 10.1002/tcr.20170002510.1002/tcr.201700025 ↗
29. 10.1039/D0CC02840A10.1039/D0CC02840A ↗
30. 10.1021/ja00053a02010.1021/ja00053a020 ↗
31. 10.1038/359710a010.1038/359710a0 ↗
32. 10.1126/science.269.5228.124210.1126/science.269.5228.1242 ↗
33. 10.1038/378366a010.1038/378366a0 ↗
34. 10.1021/jp011905h10.1021/jp011905h ↗
35. 10.1021/ja974025i10.1021/ja974025i ↗
36. 10.1126/science.279.5350.54810.1126/science.279.5350.548 ↗
37. 10.1039/b306504a10.1039/b306504a ↗
38. 10.1021/cm202692q10.1021/cm202692q ↗
39. 10.1039/C4TA00604F10.1039/C4TA00604F ↗
40. 10.1016/j.apcata.2009.05.04410.1016/j.apcata.2009.05.044 ↗
41. 10.1021/la100268q10.1021/la100268q ↗
42. 10.1021/cm061534n10.1021/cm061534n ↗
43. 10.1021/la050981z10.1021/la050981z ↗
44. 10.1039/a806701e10.1039/a806701e ↗
45. 10.1021/la034080710.1021/la0340807 ↗
46. 10.1021/la051686h10.1021/la051686h ↗
47. 10.1021/la063715+10.1021/la063715+ ↗
48. 10.1002/adma.20040154910.1002/adma.200401549 ↗
49. 10.1021/nn900108x10.1021/nn900108x ↗
50. 10.1126/science.278.5344.179510.1126/science.278.5344.1795 ↗
51. 10.1038/nmat211110.1038/nmat2111 ↗
52. 10.1039/C5TA02483H10.1039/C5TA02483H ↗
53. 10.1021/ja207525e10.1021/ja207525e ↗
54. 10.1007/s10853-019-04024-310.1007/s10853-019-04024-3 ↗
55. 10.1039/b810641j10.1039/b810641j ↗
56. 10.1016/j.poly.2006.06.02410.1016/j.poly.2006.06.024 ↗
57. 10.1007/s00396-006-1526-310.1007/s00396-006-1526-3 ↗
58. 10.1016/j.micromeso.2010.01.00410.1016/j.micromeso.2010.01.004 ↗
59. 10.1166/jnn.2019.1674510.1166/jnn.2019.16745 ↗
60. 10.1039/f2976720152510.1039/f29767201525 ↗
61. 10.1016/j.nantod.2020.10093610.1016/j.nantod.2020.100936 ↗
62. 10.1039/c3nr02732e10.1039/c3nr02732e ↗
63. 10.1021/jp994133m10.1021/jp994133m ↗
64. 10.1016/j.micromeso.2008.01.00510.1016/j.micromeso.2008.01.005 ↗
65. 10.1021/acs.langmuir.2c0329710.1021/acs.langmuir.2c03297 ↗
66. 10.1002/smtd.20190068910.1002/smtd.201900689 ↗
67. 10.1021/acsanm.2c0148110.1021/acsanm.2c01481 ↗
68. 10.1021/ja983218i10.1021/ja983218i ↗
69. 10.1021/cm502874910.1021/cm5028749 ↗
70. 10.1039/C9SM00484J10.1039/C9SM00484J ↗
71. 10.1021/la102228u10.1021/la102228u ↗
72. 10.1021/nl103104w10.1021/nl103104w ↗
73. 10.1021/la300970610.1021/la3009706 ↗
74. 10.1039/C1JM14113A10.1039/C1JM14113A ↗
75. 10.1039/C6NR04430A10.1039/C6NR04430A ↗
76. 10.1021/acs.chemmater.5b0440710.1021/acs.chemmater.5b04407 ↗
77. 10.1021/acs.macromol.6b0267810.1021/acs.macromol.6b02678 ↗
78. 10.1021/jacs.6b0193510.1021/jacs.6b01935 ↗
79. 10.1021/acsanm.0c0206010.1021/acsanm.0c02060 ↗
80. 10.1039/C8NR00793D10.1039/C8NR00793D ↗
81. Cheng, X.; Föhst, S.; Redenbach, C.; Schladitz, K. Detecting Branching Nodes of Multiply Connected 3D Structures. Proceedings of the Mathematical Morphology and its Applications to Signal and Image Processing: 14th international symposium, ISMM 2019; Saarbrücken, Germany, July 8–10, 2019; Burgeth, B., Kleefeld, A., Naegel, B., Passat, N.; Perret, B., Eds. SpringerInternational Publishing: Cham, 2019; Vol. 11564, pp 441–455.10.1007/978-3-030-20867-7_34 ↗
82. 10.1021/acs.langmuir.2c0236610.1021/acs.langmuir.2c02366 ↗
83. 10.1021/ac100909t10.1021/ac100909t ↗
84. 10.1002/marc.20180061610.1002/marc.201800616 ↗
85. 10.1021/ma971258l10.1021/ma971258l ↗
86. 10.1021/cm049596610.1021/cm0495966 ↗
87. 10.1021/acs.langmuir.8b0041710.1021/acs.langmuir.8b00417 ↗
88. 10.1039/C7TA01034F10.1039/C7TA01034F ↗
89. 10.1021/ma020491310.1021/ma0204913 ↗
90. 10.1016/S0927-7757(02)00511-310.1016/S0927-7757(02)00511-3 ↗
91. 10.1039/C6SC01243D10.1039/C6SC01243D ↗
92. 10.1021/acs.macromol.3c0058510.1021/acs.macromol.3c00585 ↗
93. 10.1039/C7CP01846K10.1039/C7CP01846K ↗
94. 10.1002/adfm.20060006410.1002/adfm.200600064 ↗
95. 10.1146/annurev-chembioeng-061720-08124210.1146/annurev-chembioeng-061720-081242 ↗
96. 10.1002/admi.20200218110.1002/admi.202002181 ↗
97. 10.1021/ja984389q10.1021/ja984389q ↗
98. 10.1021/ma981732310.1021/ma9817323 ↗
99. 10.1021/cm000164e10.1021/cm000164e ↗
100. 10.1103/PhysRev.110.110.1103/PhysRev.110.1 ↗