In‐Flow MOF Lithography
Source abstract
Abstract
Abstract Continuous‐flow microfluidic systems are widely recognized as advanced and robust tools for materials synthesis. Indeed, the exquisite spatiotemporal control over reagent concentrations in a microfluidic channel has enabled the formation of composite materials and structures with unique features. Herein, we show for the first time that by combining reactive substrates with continuous‐flow microfluidic devices, material growth can be spatiotemporally driven and modulated on a surface. We demonstrate such unprecedented control by crystallizing and patterning compositional gradients of HKUST‐1 (a widely investigated metal‐organic framework (MOF)) on a reactive surface. We believe that this novel approach will engender new possibilities for incorporating MOFs on reactive surfaces, and thus for developing new advanced technological architectures and devices.
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Research context
OpenAlex topics: Advanced Memory and Neural Computing · Metal-Organic Frameworks: Synthesis and Applications · Machine Learning in Materials Science
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Chemical and Bioengineering ETH Zurich Vladimir Prelog Weg 1 8093 Zurich Switzerland
Institute of Engineering Univ. Grenoble Alpes CNRS Grenoble INP LMGP F‐38000 Grenoble France
Spanish CRG BM25‐SpLine Beamline at the ESRF 71 Av des Martyrs CS 40220 38043 Grenoble Cedex 9 France
Instituto de Ciencia de Materiales de Madrid—ICMM/CSIC Cantoblanco E‐28049 Madrid Spain
Multi‐Scale Robotics Lab (MSRL) Institute of Robotics and Intelligent Systems (IRIS) ETH Zurich Tannenstrasse 3 8092 Zurich Switzerland
Funding
H2020 European Research Council · Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
References (60)
Show source-provided references
1. 10.1039/b821324k10.1039/b821324k ↗
2. 10.1002/adma.20090342810.1002/adma.200903428 ↗
3. 10.1126/science.271.5251.93310.1126/science.271.5251.933 ↗
4. 10.1038/nmat138710.1038/nmat1387 ↗
5. 10.1002/adma.20160388510.1002/adma.201603885 ↗
6. 10.1002/adma.20100429110.1002/adma.201004291 ↗
7. 10.1021/cr030078910.1021/cr0300789 ↗
8. 10.1038/nmat452610.1038/nmat4526 ↗
9. 10.1126/science.117124510.1126/science.1171245 ↗
10. 10.1038/nmat363310.1038/nmat3633 ↗
11. 10.1021/nl503329210.1021/nl5033292 ↗
12. 10.1038/nature2100310.1038/nature21003 ↗
13. 10.1038/ncomms964310.1038/ncomms9643 ↗
14. 10.1038/nmat86310.1038/nmat863 ↗
15. 10.1038/nmat220810.1038/nmat2208 ↗
16. 10.1039/C6CC04013F10.1039/C6CC04013F ↗
17. 10.1002/anie.20030063610.1002/anie.200300636 ↗
18. 10.1021/cr300282410.1021/cr3002824 ↗
19. 10.1039/C6CS00047A10.1039/C6CS00047A ↗
20. 10.1002/adma.20080185110.1002/adma.200801851 ↗
21. 10.1021/cm900069f10.1021/cm900069f ↗
22. 10.1021/cr200167v10.1021/cr200167v ↗
23. 10.1016/j.ccr.2015.09.01310.1016/j.ccr.2015.09.013 ↗
24. 10.1038/nmat481510.1038/nmat4815 ↗
25. 10.1126/science.124673810.1126/science.1246738 ↗
26. 10.1002/anie.20150621910.1002/anie.201506219 ↗
27. 10.1038/nmat476610.1038/nmat4766 ↗
28. 10.1039/C4CS00093E10.1039/C4CS00093E ↗
29. 10.1039/b805038b10.1039/b805038b ↗
30. 10.1002/anie.20090037810.1002/anie.200900378 ↗
31. 10.1038/nmat276910.1038/nmat2769 ↗
32. 10.1021/ja110720f10.1021/ja110720f ↗
33. 10.1002/adma.20130138310.1002/adma.201301383 ↗
34. 10.1039/C4CS00089G10.1039/C4CS00089G ↗
35. 10.1002/anie.20140058010.1002/anie.201400580 ↗
36. 10.1038/nmat450910.1038/nmat4509 ↗
37. 10.1038/nmat335910.1038/nmat3359 ↗
38. 10.1002/adfm.20130330310.1002/adfm.201303303 ↗
39. 10.1021/acsami.6b1275510.1021/acsami.6b12755 ↗
40. 10.1021/ja053523l10.1021/ja053523l ↗
41. 10.1039/b811010g10.1039/b811010g ↗
42. 10.1021/jacs.5b0394810.1021/jacs.5b03948 ↗
43. 10.1002/anie.20141154010.1002/anie.201411540 ↗
44. 10.1039/C7CC07527H10.1039/C7CC07527H ↗
45. 10.1021/ja070120810.1021/ja0701208 ↗
46. 10.1021/acs.langmuir.5b0133310.1021/acs.langmuir.5b01333 ↗
47. 10.1021/acs.jpcc.5b0713310.1021/acs.jpcc.5b07133 ↗
48. 10.1039/c2sc20065a10.1039/c2sc20065a ↗
49. 10.1002/adfm.20100252910.1002/adfm.201002529 ↗
50. 10.1021/am500233m10.1021/am500233m ↗
51. 10.1038/ncomms653210.1038/ncomms6532 ↗
52. 10.1021/acsami.8b1238010.1021/acsami.8b12380 ↗
53. 10.1103/RevModPhys.77.97710.1103/RevModPhys.77.977 ↗
54. 10.1038/nchem.175310.1038/nchem.1753 ↗
55. 10.1016/0304-3991(86)90181-610.1016/0304-3991(86)90181-6 ↗
56. Resende J. A. · 2017
57. 10.1039/C5TA01108F10.1039/C5TA01108F ↗
58. Note that we did not use any stirring during our batch experiments because this will result in turbulence mixing (affecting the mass transport in an uncontrolled way) and thus this condition will not be comparable to the controlled diffusion‐based mixing accomplished in the microfluidic experiments.
59. 10.1002/admi.20180136410.1002/admi.201801364 ↗
60. Abrishamkar A. · J. Visualized Exp. · 2016 · 113 · e54193