Literature DB >> 19661587

Chemical identification of point defects and adsorbates on a metal oxide surface by atomic force microscopy.

Jeppe V Lauritsen1, Adam S Foster, Georg H Olesen, Mona C Christensen, Angelika Kühnle, Stig Helveg, Jens R Rostrup-Nielsen, Bjerne S Clausen, Michael Reichling, Flemming Besenbacher.   

Abstract

Atomic force microscopy in the non-contact mode (nc-AFM) can provide atom-resolved images of the surface of, in principle, any material independent of its conductivity. Due to the complex mechanisms involved in the contrast formation in nc-AFM imaging, it is, however, far from trivial to identify individual surface atoms or adsorbates from AFM images. In this work, we successfully demonstrate how to extract detailed information about defects and the chemical identity of adsorbates on a metal oxide surface from nc-AFM images. We make use of the observation that the apex of the AFM tip can be altered to expose either a positive or negative tip termination. The complementary set of images recorded with the two tip terminations unambiguously define the ionic sub-lattices and reveal the exact positions of oxygen vacancies and hydroxyl (OH) defects on a TiO(2) surface. Chemical specificity is extracted by comparing the characteristic contrast patterns of the defects with results from comprehensive AFM simulations. Our methodology of analysis is generally applicable and may be pivotal for uncovering surface defects and adsorbates on other transition metal oxides designed for heterogeneous catalysis, photo-electrolysis or biocompatibility.

Entities:  

Year:  2006        PMID: 19661587     DOI: 10.1088/0957-4484/17/14/015

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  6 in total

1.  Probing three-dimensional surface force fields with atomic resolution: Measurement strategies, limitations, and artifact reduction.

Authors:  Mehmet Z Baykara; Omur E Dagdeviren; Todd C Schwendemann; Harry Mönig; Eric I Altman; Udo D Schwarz
Journal:  Beilstein J Nanotechnol       Date:  2012-09-11       Impact factor: 3.649

2.  Graphite, graphene on SiC, and graphene nanoribbons: Calculated images with a numerical FM-AFM.

Authors:  Fabien Castanié; Laurent Nony; Sébastien Gauthier; Xavier Bouju
Journal:  Beilstein J Nanotechnol       Date:  2012-04-02       Impact factor: 3.649

3.  Atomic species identification at the (101) anatase surface by simultaneous scanning tunnelling and atomic force microscopy.

Authors:  Oleksandr Stetsovych; Milica Todorović; Tomoko K Shimizu; César Moreno; James William Ryan; Carmen Pérez León; Keisuke Sagisaka; Emilio Palomares; Vladimír Matolín; Daisuke Fujita; Ruben Perez; Oscar Custance
Journal:  Nat Commun       Date:  2015-06-29       Impact factor: 14.919

4.  Anchoring of a dye precursor on NiO(001) studied by non-contact atomic force microscopy.

Authors:  Sara Freund; Antoine Hinaut; Nathalie Marinakis; Edwin C Constable; Ernst Meyer; Catherine E Housecroft; Thilo Glatzel
Journal:  Beilstein J Nanotechnol       Date:  2018-01-23       Impact factor: 3.649

5.  (2n × 1) Reconstructions of TiO2(011) Revealed by Noncontact Atomic Force Microscopy and Scanning Tunneling Microscopy.

Authors:  Chi Lun Pang; Ayhan Yurtsever; Jo Onoda; Yoshiaki Sugimoto; Geoff Thornton
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2014-09-08       Impact factor: 4.126

6.  A Deep Learning Approach for Molecular Classification Based on AFM Images.

Authors:  Jaime Carracedo-Cosme; Carlos Romero-Muñiz; Rubén Pérez
Journal:  Nanomaterials (Basel)       Date:  2021-06-24       Impact factor: 5.076

  6 in total

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