DataVXACS Applied Nano MaterialsPaper
journal article·2025-08-08

Efficient Glycerol Ketalization with Acetone Catalyzed by Nanosized Fe-Doped Aluminoborate PKU-1

Wei Lu Wang, Xiang Ke Zeng, Qing Ke, Bin Xia, Ke Xu, You You Yuan, Jin Hang Dai, Xiao Shu Lv, Guang Ming Jiang, Tao Liu, Dong Feng Xue, Jin Zhong Zhang

ACS Applied Nano Materials· Volume 8· Issue 31
Publisher page
Source abstract

Abstract

Glycerol ketalization has gained growing interest for glycerol recycling under mild reactions. To improve the product yield, high-purity glycerol and excessive acetone have usually been used, resulting in high production costs. Here, Fe-doped aluminum borate (Fe-PKU-1) materials with tunable surface physicochemical properties were synthesized by varying aluminum reactants and adjusting the loading amount of cetyltrimethylammonium bromide (CTAB). The hydrophobicity–hydrophilicity balance and surface acidity of these materials both display volcano trends with variation over material morphology and CTAB loading amounts. As a result, 40 mg of CTAB-modified nanosized Fe-PKU-1 achieved a higher catalytic efficiency for glycerol ketalization, i.e., a 97.2% conversion efficiency of pure glycerol and a 98.0% selectivity of (2,2-dimethyl-1,3-dioxolan-4-yl) methanol, with less acetone doping (acetone/glycerol = 3.5:1) in a 3 h reaction time. Moreover, the synergy between improved surface hydrophobicity and material acidity suppresses the influence of CH 3 OH and NaCl impurities in crude glycerol on the reaction, resulting in an 84.7% conversion efficiency of crude glycerol to the target compound. This low-cost catalyst system demonstrates good potential for the application in the glycerol industry.
Source: openalex_inverted_index · Quality: baseline

Research context

NanomaterialsCatalysis & surfaces

OpenAlex topics: Catalysis for Biomass Conversion · Metal-Organic Frameworks: Synthesis and Applications · Carbon dioxide utilization in catalysis

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

Affiliations

Engineering Research Center for Waste Oil Recovery Technology and Equipment, Ministry of Education

Chongqing Technology and Business University

College of Environment and Resources

Rare Earth New Materials and Components Innovation Center, Shenzhen Institute for Advanced Study

University of Electronic Science and Technology of China

Imaging and Characteriazation Core Lab

King Abdullah University of Science and Technology

State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured Materials, School of Chemistry and Chemical Engineering, School of Resources, Environment and Materials, School of Light Industry Technology and Engineering

Guangxi University

Department of Chemistry and Biochemistry

University of California

Funding

Ministry of Education of the People's Republic of China · Basic and Applied Basic Research Foundation of Guangdong Province · National Natural Science Foundation of China · Chongqing Postdoctoral Foundation

References (60)

Show source-provided references
1. 10.1002/cssc.20230154610.1002/cssc.202301546 ↗
2. 10.1002/cssc.20210055610.1002/cssc.202100556 ↗
3. 10.1016/j.jcou.2024.10281310.1016/j.jcou.2024.102813 ↗
4. 10.1002/cssc.20230099010.1002/cssc.202300990 ↗
5. 10.1016/j.apcatb.2020.11946710.1016/j.apcatb.2020.119467 ↗
6. 10.1002/cssc.20190315110.1002/cssc.201903151 ↗
7. 10.1016/j.seppur.2024.12856710.1016/j.seppur.2024.128567 ↗
8. 10.1002/cssc.20140207010.1002/cssc.201402070 ↗
9. 10.1021/acssuschemeng.1c0633010.1021/acssuschemeng.1c06330 ↗
10. 10.1016/j.renene.2024.12146510.1016/j.renene.2024.121465 ↗
11. 10.1016/j.cej.2022.13930310.1016/j.cej.2022.139303 ↗
12. 10.1016/j.jiec.2022.05.01710.1016/j.jiec.2022.05.017 ↗
13. 10.1016/j.apcata.2022.11894510.1016/j.apcata.2022.118945 ↗
14. 10.1021/acs.jpcc.6b0422910.1021/acs.jpcc.6b04229 ↗
15. 10.1002/ange.20201001910.1002/ange.202010019 ↗
16. 10.1039/D0CY01030H10.1039/D0CY01030H ↗
17. 10.1021/jacs.9b0789110.1021/jacs.9b07891 ↗
18. 10.1016/j.fuel.2020.11816410.1016/j.fuel.2020.118164 ↗
19. 10.1016/j.apcata.2020.11781210.1016/j.apcata.2020.117812 ↗
20. 10.1016/j.fuproc.2022.10748210.1016/j.fuproc.2022.107482 ↗
21. 10.1021/acs.energyfuels.4c0330610.1021/acs.energyfuels.4c03306 ↗
22. 10.1016/j.cclet.2021.08.05610.1016/j.cclet.2021.08.056 ↗
23. 10.1021/acs.jpcc.1c0294110.1021/acs.jpcc.1c02941 ↗
24. 10.1016/j.jcat.2017.05.00710.1016/j.jcat.2017.05.007 ↗
25. 10.1021/ic500352g10.1021/ic500352g ↗
26. TOPAS-Academic, Version 4.1, Coelho Software: Brisbane, Australia, 2007.
27. 10.1021/acs.langmuir.8b0257110.1021/acs.langmuir.8b02571 ↗
28. 10.1039/C6RA13370C10.1039/C6RA13370C ↗
29. 10.1016/j.cej.2016.02.08610.1016/j.cej.2016.02.086 ↗
30. 10.1016/j.cattod.2006.01.03610.1016/j.cattod.2006.01.036 ↗
31. 10.1007/s41779-021-00579-010.1007/s41779-021-00579-0 ↗
32. 10.1039/C5CY02218E10.1039/C5CY02218E ↗
33. 10.1016/j.cattod.2014.12.02710.1016/j.cattod.2014.12.027 ↗
34. 10.1016/j.fuel.2013.09.06610.1016/j.fuel.2013.09.066 ↗
35. 10.1021/acs.iecr.9b0372510.1021/acs.iecr.9b03725 ↗
36. 10.1016/j.cattod.2020.07.00810.1016/j.cattod.2020.07.008 ↗
37. 10.1016/j.apcata.2019.11736910.1016/j.apcata.2019.117369 ↗
38. 10.1021/jacs.0c0464310.1021/jacs.0c04643 ↗
39. 10.1039/C4RA11060A10.1039/C4RA11060A ↗
40. 10.1039/C6NR09482A10.1039/C6NR09482A ↗
41. 10.1016/j.cattod.2020.05.00710.1016/j.cattod.2020.05.007 ↗
42. 10.1016/j.jhazmat.2019.12111710.1016/j.jhazmat.2019.121117 ↗
43. 10.1016/j.micromeso.2019.10970810.1016/j.micromeso.2019.109708 ↗
44. 10.1021/acsanm.9b0104710.1021/acsanm.9b01047 ↗
45. 10.1016/j.apcatb.2017.07.06310.1016/j.apcatb.2017.07.063 ↗
46. 10.1126/sciadv.aat641310.1126/sciadv.aat6413 ↗
47. 10.1021/acs.est.1c0664210.1021/acs.est.1c06642 ↗
48. 10.1016/j.micromeso.2018.07.00610.1016/j.micromeso.2018.07.006 ↗
49. 10.3390/ma1422685210.3390/ma14226852 ↗
50. 10.1126/science.271.5250.79910.1126/science.271.5250.799 ↗
51. 10.1016/j.cattod.2017.05.08410.1016/j.cattod.2017.05.084 ↗
52. 10.3390/catal1105059810.3390/catal11050598 ↗
53. 10.1016/j.renene.2022.03.12510.1016/j.renene.2022.03.125 ↗
54. 10.1039/c2gc16619d10.1039/c2gc16619d ↗
55. 10.1016/j.clay.2019.03.03410.1016/j.clay.2019.03.034 ↗
56. 10.1016/j.jcat.2021.05.01710.1016/j.jcat.2021.05.017 ↗
57. 10.1038/s41467-023-36602-010.1038/s41467-023-36602-0 ↗
58. 10.1039/D0CY00336K10.1039/D0CY00336K ↗
59. 10.1039/D0GC02562C10.1039/D0GC02562C ↗
60. 10.1016/j.fuel.2020.11872410.1016/j.fuel.2020.118724 ↗