Characterization of Substrates and Surface-Enhancement in Atomic Force Microscopy Infrared Analysis of Amyloid Aggregates.


Journal

The journal of physical chemistry. C, Nanomaterials and interfaces
ISSN: 1932-7447
Titre abrégé: J Phys Chem C Nanomater Interfaces
Pays: United States
ID NLM: 101299949

Informations de publication

Date de publication:
03 Mar 2022
Historique:
entrez: 20 6 2022
pubmed: 21 6 2022
medline: 21 6 2022
Statut: ppublish

Résumé

Atomic force microscopy infrared (AFM-IR) spectroscopy is an emerging analytical technique that can be used to probe the structural organization of specimens with nanometer spatial resolution. A growing body of evidence suggests that nanoscale structural analysis of very small (<10 nm) biological objects, such as viruses and amyloid aggregates, requires substrates that must fit strict criteria of low surface roughness and low IR background, simultaneously. In this study, we examine the suitability of a broad range of substrates commonly used in AFM and IR fields, and we determined that silicon, zinc sulfide, and calcium fluoride are the most ideal substrates for nanoscale imaging of amyloid oligomers, protein aggregates that are directly linked to the onset and progression of neurodegenerative diseases. Our data show that these substrates provide the lowest roughness and the lowest background in the 800-1800 cm

Identifiants

pubmed: 35719853
doi: 10.1021/acs.jpcc.1c09643
pmc: PMC9205157
mid: NIHMS1812701
doi:

Types de publication

Journal Article

Langues

eng

Pagination

4157-4162

Subventions

Organisme : NIGMS NIH HHS
ID : R35 GM142869
Pays : United States

Déclaration de conflit d'intérêts

The authors declare no competing financial interest.

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Auteurs

Stanislav Rizevsky (S)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States; Department of Biotechnology, Binh Duong University, Thu Dau Mot 820000, Vietnam.

Kiryl Zhaliazka (K)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.

Tianyi Dou (T)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.

Mikhail Matveyenka (M)

Department of Biochemistry and Biophysics, Texas A&M University College Station, Texas 77843, United States.

Dmitry Kurouski (D)

Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States; Department of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.

Classifications MeSH