PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 30, 2019ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)118 citationsOpen Access

Dynamics of Photo‐Induced Surface Oxygen Vacancies in Metal‐Oxide Semiconductors Studied Under Ambient Conditions

View Full Paper
DGDaniel GlassECEmiliano CortésSBSultan Ben‐Jaber

Key Points

Key points are not available for this paper at this time.

Abstract

Abstract Surface‐enhanced Raman spectroscopy (SERS) is a powerful analytical technique commonly used in the detection of traces of organic molecules. The mechanism of SERS is of a dual nature, with Raman scattering enhancements due to a combination of electromagnetic (EM) and chemical contributions. In conventional SERS, the EM component is largely responsible for the enhancement, with the chemical contribution playing a less significant role. An alternative technique, called photo‐induced enhanced Raman spectroscopy (PIERS) has been recently developed, using a photo‐activated semiconductor substrate to give additional chemical enhancement of Raman bands over traditional SERS. This enhancement is assigned to surface oxygen vacancies ( V o ) formed upon pre‐irradiation of the substrate. In this work, the exceptional chemical contribution in PIERS allows for the evaluation of atomic V o dynamics in metal oxide surfaces. This technique is applied to study the formation and healing rates of surface‐active V o in archetypical metal‐oxide semiconductors, namely, TiO 2 , WO 3 , and ZnO. Contrary to conventional analytical tools, PIERS provides intuitive and valuable information about surface stability of atomic defects at ambient pressure and under operando conditions, which has important implications in a wide range of applications including catalysis and energy storage materials.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Glass et al. (2019) studied this question.

synapsesocial.com/papers/6a628285ce9bb37a6d7dd6b6https://doi.org/10.1002/advs.201901841
Ask AI
Helpful
Bookmark
Share
View Full Paper