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Published May 23, 2023 | Supplemental Material
Journal Article Open

Chemical Transformations of 2D Kaolinic Clay Mineral Surfaces from Sulfuric Acid Exposure

Abstract

A combined experimental and computational approach is used to investigate the chemical transformations of kaolinite and metakaolin surfaces when exposed to sulfuric acid. These clay minerals are hydrated ternary metal oxides and are shown to be susceptible to degradation by loss of Al as the water-soluble salt Al₂(SO₄)₃, due to interactions between H₂SO₄ and aluminum cations. This degradation process results in a silica-rich interfacial layer on the surfaces of the aluminosilicates, most prominently observed in metakaolin exposed to pH environments of less than 4. Our observations are supported by XPS, ATR-FTIR, and XRD experiments. Concurrently, DFT methodologies are used to probe the interactions between the clay mineral surfaces and H₂SO₄ as well as other sulfur-containing adsorbates. An analysis performed using a DFT + thermodynamics model shows that the surface transformation processes that lead to the loss of Al and SO₄ from metakaolin are favorable at pH below 4; however, such transformations are not favorable for kaolinite, a result that agrees with our experimental efforts. The data obtained from both experimental techniques and computational studies support that the dehydrated surface of metakaolin interacts more strongly with sulfuric acid and provide atomistic insight into the acid-induced transformations of these mineral surfaces.

Additional Information

© 2023 American Chemical Society. C.S.C. is supported by Zonta International's Amelia Earhart Fellowship and the Groce Fund for Material Science Studies in Art Conservation. J.E.H. is supported by the Andrew W. Mellon Foundation under Award 41500634. Additional computational funding was provided by the Extreme Science and Engineering Discovery Environment (XSEDE) (65) start-up grant TG-CHE190075 and renewal allocation TG-CHE200108, which are supported by National Science Foundation grant number ACI-1548562. All calculations were performed using the UMBC High Performance Computing Facility (HPCF). The acquisition of equipment for the UMBC HPCF is partially supported by the National Science Foundation, whose support we gratefully acknowledge, and which requires the following notice: This material is based upon work supported by the National Science Foundation under the MRI grants CNS-0821258, CNS-1228778, and OAC-1726023, and the SCREMS grant DMS-0821311. Author Contributions: C.S.C. and J.E.H. contributed equally to this work. The authors declare no competing financial interest.

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Created:
August 22, 2023
Modified:
October 20, 2023