Considerations in upconversion: A practical guide to sum-frequency generation spectrometer design and implementation.


Journal

Biointerphases
ISSN: 1559-4106
Titre abrégé: Biointerphases
Pays: United States
ID NLM: 101275679

Informations de publication

Date de publication:
26 04 2022
Historique:
entrez: 27 4 2022
pubmed: 28 4 2022
medline: 29 4 2022
Statut: epublish

Résumé

In this tutorial review, we discuss how the choice of upconversion pulse shape in broadband vibrational sum-frequency generation (SFG) spectrometer design impacts the chemical or physical insights one can obtain from a set of measurements. A time-domain picture of a vibrational coherence being mapped by a second optical field is described and the implications of how this mapping, or upconversion process, takes place are given in the context of several popular and emerging approaches found in the literature. Emphasis is placed on broadband frequency-domain measurements, where the choice of upconversion pulse enhances or limits the information contained in the SFG spectrum. We conclude with an outline for a flexible approach to SFG upconversion using pulse-shaping methods and a simple guide to design and optimize the associated instrumentation.

Identifiants

pubmed: 35473296
doi: 10.1116/6.0001817
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

021201

Auteurs

Benjamin Doughty (B)

Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831.

Lu Lin (L)

Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831.

Uvinduni I Premadasa (UI)

Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831.

Ying-Zhong Ma (YZ)

Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831.

Articles similaires

Humans Smartphone Blood Pressure Determination Oscillometry Male
Pressure Water Computer Simulation Models, Theoretical Vibration
Equipment Failure Analysis Algorithms Neural Networks, Computer Vibration Equipment Failure
Guinea Pigs Animals Bone Conduction Cochlea Vibration

Classifications MeSH