Influence of the Anionic Zinc-Adeninate Metal–Organic Framework Structure on the Luminescent Detection of Rare Earth Ions in Aqueous Streams
Source abstract
Abstract
Rare earth elements (REEs) are critical to numerous technologies; however, a combination of increasing demand, environmental concerns, and monopolistic marketplace conditions has spurred interest in boosting the domestic REE production from sources such as coal utilization byproducts. The economic viability of this approach requires rapid, inexpensive, and sensitive analytical techniques capable of characterizing the REE content during resource exploration and downstream REE processing (e.g., analyzing REE separation, concentration, and purification production steps). Luminescence-based sensors are attractive because many REEs may be sensitized to produce element-specific emission. Hence, a single material may simultaneously detect and distinguish multiple REEs. Metal-organic frameworks (MOFs) can sensitize multiple REEs, but their viability has been hindered by sensitivity and selectivity challenges. Understanding how the MOF structure impacts the REE sensing efficacy is critical to the rational design of new sensors. Here, we evaluate the sensing performance of seven different anionic zinc-adeninate MOFs with different organic linkers and/or structures for the visible-emitting REEs Tb, Dy, Sm, and Eu. The choice of a linker determines which REEs are sensitized and significantly influences their sensitivity and selectivity against competing species (here, Fe(II) and HCl). For a given linker, structural changes to the MOF can further fine-tune the performance. The MOFs produce some of the lowest detection limits (sub-10 ppb for Tb) reported for the aqueous sensitization-based REE detection. Importantly, the most selective MOFs demonstrated the ability to sensitize the REE signal at sub-ppm levels in a REE-spiked acid mine drainage matrix, highlighting their potential for use in real-world sensing applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Geochemistry and Elemental Analysis · Metal-Organic Frameworks: Synthesis and Applications · Mercury impact and mitigation studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National Energy Technology Laboratory, 626 Cochrans Mill Rd, Pittsburgh 15236 Pennsylvania, United States
Funding
Oak Ridge Institute for Science and Education · U.S. Department of Energy
References (77)
Show source-provided references
1. 10.1016/j.coal.2018.04.00410.1016/j.coal.2018.04.004 ↗
2. 10.1007/s11356-015-4111-910.1007/s11356-015-4111-9 ↗
3. Gholz, E. Rare Earth Elements and National Security; Council on Foreign Relations, 2014.
4. 10.1016/j.envres.2016.05.05210.1016/j.envres.2016.05.052 ↗
5. 10.1016/j.jclepro.2012.12.03710.1016/j.jclepro.2012.12.037 ↗
6. 10.1021/es102836s10.1021/es102836s ↗
7. Goonan T. G. · 2011
8. 10.1021/es203518d10.1021/es203518d ↗
9. 10.1016/j.resourpol.2012.07.00110.1016/j.resourpol.2012.07.001 ↗
10. 10.1016/j.cogsc.2018.02.00810.1016/j.cogsc.2018.02.008 ↗
11. 10.1016/j.coal.2019.04.00710.1016/j.coal.2019.04.007 ↗
12. 10.1016/j.coal.2016.11.00210.1016/j.coal.2016.11.002 ↗
13. 10.1021/acs.energyfuels.9b0029510.1021/acs.energyfuels.9b00295 ↗
14. 10.1021/am402796710.1021/am4027967 ↗
15. 10.1109/jsen.2017.267600210.1109/jsen.2017.2676002 ↗
16. 10.1016/j.snb.2012.07.00810.1016/j.snb.2012.07.008 ↗
17. 10.1021/acs.est.7b0241410.1021/acs.est.7b02414 ↗
18. 10.1021/acssuschemeng.9b0258410.1021/acssuschemeng.9b02584 ↗
19. 10.1016/j.seppur.2020.11672610.1016/j.seppur.2020.116726 ↗
20. 10.1016/j.fuel.2018.05.14110.1016/j.fuel.2018.05.141 ↗
21. 10.1016/j.mineng.2020.10638210.1016/j.mineng.2020.106382 ↗
22. 10.1007/s42461-019-0097-z10.1007/s42461-019-0097-z ↗
23. Fajber, R.; Simandl, G. Evaluation of Rare Earth Element-Enriched Sedimentary Phosphate Deposits Using Portable X-Ray Fluorescence (XRF) Instruments. British Columbia Geological Survey, Geological Fieldwork: A Summary of Field Activities and Current Research, 2011; pp 2012–2021.
24. 10.1177/000370281877543110.1177/0003702818775431 ↗
25. 10.1021/acssensors.9b0100010.1021/acssensors.9b01000 ↗
26. 10.1039/b406082m10.1039/b406082m ↗
27. 10.1016/j.ccr.2009.07.02510.1016/j.ccr.2009.07.025 ↗
28. 10.1039/d0tc01939a10.1039/d0tc01939a ↗
29. 10.1016/j.ccr.2009.12.00110.1016/j.ccr.2009.12.001 ↗
30. 10.1016/j.ccr.2017.06.00710.1016/j.ccr.2017.06.007 ↗
31. 10.1016/j.micromeso.2015.03.03610.1016/j.micromeso.2015.03.036 ↗
32. 10.1039/c6cs00930a10.1039/c6cs00930a ↗
33. 10.1039/c0cs00130a10.1039/c0cs00130a ↗
34. 10.1039/c6dt02213h10.1039/c6dt02213h ↗
35. 10.1016/j.jre.2018.10.00110.1016/j.jre.2018.10.001 ↗
36. 10.1002/chem.20150059510.1002/chem.201500595 ↗
37. 10.1039/c8qi01406j10.1039/c8qi01406j ↗
38. 10.1021/acs.inorgchem.9b0049910.1021/acs.inorgchem.9b00499 ↗
39. 10.1021/ja109103t10.1021/ja109103t ↗
40. 10.1016/j.micromeso.2015.11.04210.1016/j.micromeso.2015.11.042 ↗
41. 10.1021/ic402900x10.1021/ic402900x ↗
42. 10.1021/acs.cgd.8b0001610.1021/acs.cgd.8b00016 ↗
43. 10.1021/acssensors.7b0080810.1021/acssensors.7b00808 ↗
44. 10.1039/c7cs00315c10.1039/c7cs00315c ↗
45. 10.1002/adma.20090386710.1002/adma.200903867 ↗
46. 10.1016/j.micromeso.2007.11.01410.1016/j.micromeso.2007.11.014 ↗
47. 10.1016/j.snb.2016.03.13510.1016/j.snb.2016.03.135 ↗
48. 10.1007/s10934-015-9960-610.1007/s10934-015-9960-6 ↗
49. 10.1016/j.ica.2017.09.04710.1016/j.ica.2017.09.047 ↗
50. 10.1002/ange.20150204510.1002/ange.201502045 ↗
51. 10.1021/ja902972w10.1021/ja902972w ↗
52. 10.1038/ncomms161810.1038/ncomms1618 ↗
53. 10.1021/acs.inorgchem.6b0302610.1021/acs.inorgchem.6b03026 ↗
54. 10.1021/ja403810k10.1021/ja403810k ↗
55. Harris, D. C. Quantitative Chemical Analysis; Macmillan, 2010; pp 104–105.
56. 10.1002/chem.20150056210.1002/chem.201500562 ↗
57. 10.1021/ar800211j10.1021/ar800211j ↗
58. 10.1021/acs.cgd.7b0021910.1021/acs.cgd.7b00219 ↗
59. 10.1016/j.ccr.2015.02.01510.1016/j.ccr.2015.02.015 ↗
60. Bakker E. · ACS Sens. · 2018 · 3 · 143110.1021/acssensors.8b00798 ↗
61. 10.1021/acs.est.6b0208410.1021/acs.est.6b02084 ↗
62. 10.1007/s11356-013-2107-x10.1007/s11356-013-2107-x ↗
63. 10.1002/cnma.20160033110.1002/cnma.201600331 ↗
64. 10.1016/s0040-4039(01)01935-910.1016/s0040-4039(01)01935-9 ↗
65. 10.1039/c5cc01430a10.1039/c5cc01430a ↗
66. 10.1039/c4ta03990d10.1039/c4ta03990d ↗
67. 10.1021/ed070p42510.1021/ed070p425 ↗
68. 10.1039/c5nr06066d10.1039/c5nr06066d ↗
69. 10.1039/c8tc05956j10.1039/c8tc05956j ↗
70. 10.1002/qua.2551610.1002/qua.25516 ↗
71. 10.1021/acs.accounts.7b0038710.1021/acs.accounts.7b00387 ↗
72. 10.1016/j.ccr.2013.10.02310.1016/j.ccr.2013.10.023 ↗
73. 10.1016/j.ccr.2018.11.01410.1016/j.ccr.2018.11.014 ↗
74. 10.1073/pnas.130591011010.1073/pnas.1305910110 ↗
75. 10.1002/anie.20200929510.1002/anie.202009295 ↗
76. 10.1021/acsami.5b0630110.1021/acsami.5b06301 ↗
77. 10.1021/ja907885m10.1021/ja907885m ↗