Resin-Mediated pH Control of Metal-Loaded Ligand Exchangers for Selective Nitrogen Recovery from Wastewaters
Source abstract
Abstract
Highly selective separation materials that recover total ammonia nitrogen (i.e., ammonia plus ammonium, or TAN) from wastewaters as a pure product can supplement energy-intensive ammonia production and incentivize pollution mitigation. We recently demonstrated that commercial acrylate cation exchange polymer resins loaded with transition metal cations, or metal-loaded ligand exchangers, can recover TAN from wastewater with high selectivity (TAN/K+ equilibrium selectivity of 10.1) via metal–ammine bond formation. However, the TAN adsorption efficiency required further improvement (35%), and the optimal concentration and pH ranges were limited by both low ammonia fractions and an insufficiently strong resin carboxylate–metal bond that caused metal elution. To overcome these deficiencies, we used a zinc–acrylate ligand exchange resin and a tertiary amine acrylic weak base resin (pH buffer resin) together to achieve resin-mediated pH control for optimal adsorption conditions. The high buffer capacity around pH 9 facilitated gains in the adsorbed TAN per ligand resin mass that enhanced the TAN adsorption efficiency to greater than 90%, and constrained zinc elution (below 0.01% up to 1 M TAN) because of decreased ammonia competition for zinc–carboxylate bonds. During TAN recovery, resin-mediated pH buffering facilitated recovery of greater than 99% of adsorbed TAN with 0.2% zinc elution, holding the pH low enough to favor ammonium but high enough to prevent carboxylate protonation. For selective ion separation, solid phase buffers outperform aqueous buffers because the initial solution pH, the buffering capacity, and the ion purity can be independently controlled. Finally, because preserving the resin–zinc bond is crucial to sustained ligand exchange performance, the properties of an ideal ligand resin functional group were investigated to improve the properties beyond those of carboxylate. Ultimately, ligand exchange adsorbents combined with solid pH buffers can advance the selective recovery of nitrogen and potentially other solutes from wastewaters.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Phosphorus and nutrient management · Adsorption and biosorption for pollutant removal · Ammonia Synthesis and Nitrogen Reduction
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
Funding
Division of Graduate Education · U.S. Environmental Protection Agency · Stanford University Department of Chemical Engineering
References (78)
Show source-provided references
1. 10.1016/j.watres.2020.11551910.1016/j.watres.2020.115519 ↗
2. 10.1021/acs.est.5b0193110.1021/acs.est.5b01931 ↗
3. 10.1038/nchem.147610.1038/nchem.1476 ↗
4. Koncagül, E.; Tran, M.; Connor, R.; Uhlenbrook, S.; Cordeiro Ortigara, A. The United Nations World Water Development Report. Facts and Figures. United Nations World Water Assessment Programme: Perugia, Italy, 2017.
5. 10.1126/science.116775510.1126/science.1167755 ↗
6. 10.1126/science.118612010.1126/science.1186120 ↗
7. 10.1126/science.171.3975.100810.1126/science.171.3975.1008 ↗
8. 10.1289/ehp.112-a55610.1289/ehp.112-a556 ↗
9. 10.1021/es302815410.1021/es3028154 ↗
10. 10.2166/wst.2006.92110.2166/wst.2006.921 ↗
11. 10.1021/ie801242v10.1021/ie801242v ↗
12. Robbins M. H. · J. Water Pollution Control Federation · 1985 · 57 · 1122
13. 10.1016/S1570-0232(03)00087-410.1016/S1570-0232(03)00087-4 ↗
14. 10.1016/j.jes.2017.09.00910.1016/j.jes.2017.09.009 ↗
15. 10.1016/j.memsci.2018.03.05110.1016/j.memsci.2018.03.051 ↗
16. 10.1016/j.memsci.2019.02.00910.1016/j.memsci.2019.02.009 ↗
17. 10.1021/acs.est.7b0640010.1021/acs.est.7b06400 ↗
18. 10.1016/j.seppur.2011.10.03310.1016/j.seppur.2011.10.033 ↗
19. 10.1080/0149639890805065910.1080/01496398908050659 ↗
20. 10.1016/j.snb.2017.08.20910.1016/j.snb.2017.08.209 ↗
21. 10.1016/j.jelechem.2017.12.05110.1016/j.jelechem.2017.12.051 ↗
22. 10.3762/bjoc.6.3210.3762/bjoc.6.32 ↗
23. 10.1039/C8PY00412A10.1039/C8PY00412A ↗
24. 10.1061/(ASCE)0733-9372(2001)127:8(673)10.1061/(ASCE)0733-9372(2001)127:8(673) ↗
25. 10.1021/acs.est.6b0581610.1021/acs.est.6b05816 ↗
26. 10.1016/j.chemosphere.2006.02.04310.1016/j.chemosphere.2006.02.043 ↗
27. 10.1016/j.jhazmat.2014.02.02010.1016/j.jhazmat.2014.02.020 ↗
28. 10.1063/1.504995610.1063/1.5049956 ↗
29. 10.1016/j.bios.2015.10.00910.1016/j.bios.2015.10.009 ↗
30. 10.1063/1.44781810.1063/1.447818 ↗
31. 10.1063/1.45017910.1063/1.450179 ↗
32. 10.1016/j.watres.2007.01.00810.1016/j.watres.2007.01.008 ↗
33. 10.1021/es050175e10.1021/es050175e ↗
34. 10.2166/wst.2016.54810.2166/wst.2016.548 ↗
35. 10.1038/1891001a010.1038/1891001a0 ↗
36. 10.2166/wst.2019.02010.2166/wst.2019.020 ↗
37. 10.1002/chem.20200217010.1002/chem.202002170 ↗
38. 10.1016/S0043-1354(03)00065-410.1016/S0043-1354(03)00065-4 ↗
39. 10.1016/j.ese.2021.10007810.1016/j.ese.2021.100078 ↗
40. 10.1016/j.desal.2017.01.01410.1016/j.desal.2017.01.014 ↗
41. 10.1021/acs.est.7b0224410.1021/acs.est.7b02244 ↗
42. 10.1016/j.molliq.2006.08.06010.1016/j.molliq.2006.08.060 ↗
43. 10.1371/journal.pone.025976010.1371/journal.pone.0259760 ↗
44. Smith R. M. · 1976 · 410.1007/978-1-4757-5506-0 ↗
45. 10.1080/10643389.2014.100076110.1080/10643389.2014.1000761 ↗
46. 10.1039/C7EW00271H10.1039/C7EW00271H ↗
47. Deleu, E. Producing Fertilizer from Source-Separated Urine. MS Thesis, Ghent University, Ghent, Belgium, 2020.
48. 10.1007/s13593-011-0050-010.1007/s13593-011-0050-0 ↗
49. Druilhe, Z.; Barreiro-Hurlé, J. Fertilizer Subsidies in Sub-Saharan Africa;ESA Working paper No. 12-04; Food and Agriculture Organization of the United Nations: Rome, 2012; p 73.
50. Kelly, V. A. Factors Affecting Demand for Fertilizer in Sub-Saharan Africa. 89.
51. 10.1039/C7EW00478H10.1039/C7EW00478H ↗
52. 10.1021/jacs.9b0258510.1021/jacs.9b02585 ↗
53. 10.1093/chemse/bjl01010.1093/chemse/bjl010 ↗
54. 10.1039/jr953000319210.1039/jr9530003192 ↗
55. 10.1021/ic00126a04110.1021/ic00126a041 ↗
56. Bersuker I. · 2013
57. 10.1039/c3ce26699k10.1039/c3ce26699k ↗
58. 10.1139/v70-27310.1139/v70-273 ↗
59. 10.2166/978178040107210.2166/9781780401072 ↗
60. 10.1021/es504403t10.1021/es504403t ↗
61. 10.1021/acs.est.7b0548810.1021/acs.est.7b05488 ↗
62. 10.3389/fpls.2013.0014010.3389/fpls.2013.00140 ↗
63. 10.1016/S0376-7388(00)00529-910.1016/S0376-7388(00)00529-9 ↗
64. 10.1016/j.cej.2020.12782110.1016/j.cej.2020.127821 ↗
65. 10.1016/j.watres.2020.11616710.1016/j.watres.2020.116167 ↗
66. 10.3390/molecules2003413610.3390/molecules20034136 ↗
67. Trygg J. · Cell. Chem. Technol. · 2016 · 50 · 5
68. 10.1002/chem.20050063910.1002/chem.200500639 ↗
69. 10.1016/j.jes.2016.06.02010.1016/j.jes.2016.06.020 ↗
70. 10.1021/ed062p798.110.1021/ed062p798.1 ↗
71. 10.1007/s11172-011-0331-410.1007/s11172-011-0331-4 ↗
72. 10.1038/s41467-019-12530-w10.1038/s41467-019-12530-w ↗
73. 10.1016/j.reactfunctpolym.2007.07.04910.1016/j.reactfunctpolym.2007.07.049 ↗
74. 10.1016/j.talanta.2008.12.05210.1016/j.talanta.2008.12.052 ↗
75. 10.1007/s00396-013-3103-x10.1007/s00396-013-3103-x ↗
76. 10.1002/etc.181010.1002/etc.1810 ↗
77. 10.1016/j.jpowsour.2018.11.00910.1016/j.jpowsour.2018.11.009 ↗
78. 10.1016/j.biortech.2009.06.01210.1016/j.biortech.2009.06.012 ↗