journal article·2018-07-11

Colloidally Confined Crystallization of Highly Efficient Ammonium Phosphomolybdate Catalysts

Alice Antonello, Cesare Benedetti, Francisco F. Pérez-Pla, Maria Kokkinopoulou, Katrin Kirchhoff, Viktor Fischer, Katharina Landfester, Silvia Gross, Rafael Muñoz-Espí

ACS Applied Materials & Interfaces· Volume 10· Issue 27
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Abstract

Nanodroplets in inverse miniemulsions provide a colloidal confinement for the crystallization of ammonium phosphomolybdate (APM), influencing the resulting particle size. The effects of the space confinement are investigated by comparing the crystallization of analogous materials both in miniemulsion and in bulk solution. Both routes result in particles with a rhombododecahedral morphology, but the ones produced in miniemulsion have sizes between 40 and 90 nm, 3 orders of magnitude smaller than the ones obtained in bulk solution. The catalytic activity of the materials is studied by taking the epoxidation of cis-cyclooctene as a model reaction. The miniemulsion route yields APM particles catalytically much more active than analogous samples produced in bulk solution, which can be explained by their higher dispersibility in organic solvents, their higher surface area, and their higher porosity. Inorganic phosphate salt precursors are compared with organic phosphate sources. APM nanoparticles prepared in miniemulsion from d-glucose-6-phosphate and O-phospho-dl-serine yield a conversion in the epoxidation reaction of more than 90% after only 1 h, compared to 30% for materials prepared in bulk solution. In addition, the catalysts prepared in miniemulsion display a promising recyclability.
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Research context

OpenAlex topics: Polyoxometalates: Synthesis and Applications · Chemical Synthesis and Characterization · Metal-Organic Frameworks: Synthesis and Applications

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

Affiliations

Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany

Institut de Ciència dels Materials (ICMUV), Universitat de València, c/ Catedràtic José Beltrán 2, 46980 Paterna, Spain

Dipartimento di Scienze Chimiche, Università degli Studi di Padova, via Marzolo 1, 35131 Padova, Italy

Funding

Ministerio de Econom?a y Competitividad · Max-Planck-Gesellschaft

References (47)

Show source-provided references
1. 10.1002/andp.1826082040210.1002/andp.18260820402 ↗
2. 10.1098/rspa.1934.003510.1098/rspa.1934.0035 ↗
3. 10.1021/ja070694c10.1021/ja070694c ↗
4. 10.1039/c3dt52312h10.1039/c3dt52312h ↗
5. 10.1021/cg900984z10.1021/cg900984z ↗
6. 10.1038/1811530a010.1038/1811530a0 ↗
7. 10.1016/0022-1902(58)80013-510.1016/0022-1902(58)80013-5 ↗
8. 10.1016/j.cej.2015.10.04010.1016/j.cej.2015.10.040 ↗
9. 10.1016/s0920-5861(98)00039-x10.1016/s0920-5861(98)00039-x ↗
10. 10.1021/cr960401q10.1021/cr960401q ↗
11. 10.1021/cr960400y10.1021/cr960400y ↗
12. 10.1351/pac20077911188710.1351/pac200779111887 ↗
13. 10.1016/s0166-9834(00)81550-x10.1016/s0166-9834(00)81550-x ↗
14. 10.1023/a:101670700700410.1023/a:1016707007004 ↗
15. 10.1039/b905718h10.1039/b905718h ↗
16. 10.1016/j.molcata.2016.01.03110.1016/j.molcata.2016.01.031 ↗
17. Fiske C. H. · J. Biol. Chem. · 1925 · 66 · 37510.1016/S0021-9258(18)84756-1 ↗
18. 10.1126/science.100.2601.41310.1126/science.100.2601.413 ↗
19. 10.4236/aer.2015.3200510.4236/aer.2015.32005 ↗
20. Nelson, D. L.; Cox, M. M. Lehninger Principles of Biochemistry, 7th ed. WH Freeman, 2017; p 1328.
21. 10.1002/anie.20090072310.1002/anie.200900723 ↗
22. 10.1016/j.cocis.2012.04.00210.1016/j.cocis.2012.04.002 ↗
23. 10.1039/c3ce26657e10.1039/c3ce26657e ↗
24. 10.1039/c5nr05579b10.1039/c5nr05579b ↗
25. 10.1021/acs.langmuir.6b0295410.1021/acs.langmuir.6b02954 ↗
26. 10.1021/acs.chemmater.6b0346710.1021/acs.chemmater.6b03467 ↗
27. 10.1002/ejic.20160143510.1002/ejic.201601435 ↗
28. 10.1002/ejic.20120147410.1002/ejic.201201474 ↗
29. 10.1002/macp.20160024610.1002/macp.201600246 ↗
30. 10.1038/nmeth.201910.1038/nmeth.2019 ↗
31. Klug H. P. · 1974
32. 10.1021/cg200058d10.1021/cg200058d ↗
33. 10.1002/adma.20140553110.1002/adma.201405531 ↗
34. Bezanson, J.; Karpinski, S.; Shah, V. B.; Edelman, A. Julia: A Fast Dynamic Language for Technical Computing, 2012.
35. 10.1016/j.solidstatesciences.2010.10.00210.1016/j.solidstatesciences.2010.10.002 ↗
36. 10.1111/j.1365-2621.1981.tb02983.x10.1111/j.1365-2621.1981.tb02983.x ↗
37. 10.1021/ic00144a00610.1021/ic00144a006 ↗
38. 10.1016/j.ica.2009.04.04910.1016/j.ica.2009.04.049 ↗
39. McClements D. J. · 201510.1201/b18868 ↗
40. 10.1002/1521-4095(200105)13:10<765::aid-adma765>3.0.co;2-f10.1002/1521-4095(200105)13:10<765::aid-adma765>3.0.co;2-f ↗
41. 10.1515/pac-2014-111710.1515/pac-2014-1117 ↗
42. 10.1016/s1381-1169(03)00460-610.1016/s1381-1169(03)00460-6 ↗
43. 10.1021/cr500390v10.1021/cr500390v ↗
44. 10.1021/ja00756a06210.1021/ja00756a062 ↗
45. 10.1021/jo00429a02410.1021/jo00429a024 ↗
46. 10.1002/anie.19820734110.1002/anie.198207341 ↗
47. 10.1021/ja000664910.1021/ja0006649 ↗