Auto-reconvolution: a new method of data retrieval from time-resolved emission anisotropy measurements

Andrew J. Marsh; Gary Rumbles; Ian Soutar; Linda Swanson

doi:10.1016/0009-2614(92)85906-Q

Auto-reconvolution: a new method of data retrieval from time-resolved emission anisotropy measurements

Andrew J. Marsh, Gary Rumbles, Ian Soutar, Linda Swanson

National Renewable Energy Laboratory

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

A new method, that of "auto-reconvolution", for the recovery of rotational relaxation data from time-resolved anisotropy measurements (TRAMS) is reported. In this approach the observed time-dependent "parallel" component of luminescence intensity, I_|(t), is used to deconvolute its orthogonal counterpart, I_⊥(t). The procedure has been validated in TRAMS experiments upon four fluorescently labelled polymers in dilute solution, following vertically polarized excitation using synchrotron radiation. In each case, excellent agreement with data retrieved by the impulse reconvolution method was achieved.

Original language	English
Pages (from-to)	31-36
Number of pages	6
Journal	Chemical Physics Letters
Volume	195
Issue number	1
DOIs	https://doi.org/10.1016/0009-2614(92)85906-Q
Publication status	Published - Jul 10 1992

ASJC Scopus subject areas

Physical and Theoretical Chemistry
Spectroscopy
Condensed Matter Physics
Atomic and Molecular Physics, and Optics
Surfaces and Interfaces

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AU - Rumbles, Gary

AU - Soutar, Ian

AU - Swanson, Linda

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AB - A new method, that of "auto-reconvolution", for the recovery of rotational relaxation data from time-resolved anisotropy measurements (TRAMS) is reported. In this approach the observed time-dependent "parallel" component of luminescence intensity, I|(t), is used to deconvolute its orthogonal counterpart, I⊥(t). The procedure has been validated in TRAMS experiments upon four fluorescently labelled polymers in dilute solution, following vertically polarized excitation using synchrotron radiation. In each case, excellent agreement with data retrieved by the impulse reconvolution method was achieved.

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