Published April 2019 | Version v1
Journal article

Photochemical multivariate curve resolution models for the investigation of photochromic systems under continuous irradiation

  • 1. Univ. Lille, CNRS, UMR 8516 - LASIR - Laboratoire de Spectrochimie Infrarouge et Raman, 59000, Lille (France)
  • 2. Leibniz-Institut für Katalyse, Albert-Einstein-Strasse 29a, 18059, Rostock (Germany)
  • 3. Universität Rostock, Institut für Mathematik, Ulmenstrasse 69, 18057, Rostock (Germany)
  • 4. PPSM, ENS Cachan, CNRS, Université Paris-Saclay, Cachan (France)

Description

Highlights: • Photochemical models have been implemented in MCR-ALS. • Ambiguities due to the photochemical model are calculated and the set of feasible quantum yields have been obtained. • Multiset hybrid hard-soft method has been applied to describe the photoreactions of a complex photochemical system. -- Abstract: We propose a multivariate curve resolution approach for the investigation of photochromic systems using UV-Visible spectroscopy. The incorporation of photochemical hard-models as constraints in multivariate curve resolution alternating least squares (MCR-ALS) allows extracting reaction quantum yields in situations where a complete knowledge of the system is not available. We apply this approach to the study of the photochromism of CMTE (cis-1,2-dicyano-1,2-bis(2,4,5-trimethyl-3-thienyl)ethene) under continuous monochromatic irradiation. The mechanism, involving 3 species and 2 reversible reactions, is written and translated into a kinetic constraint that can be applied to the concentration profiles within ALS. First, ambiguity of the solution obtained for photochemical model(s) is calculated and discussed for single set analysis. Multiset analysis is then proposed combining data obtained under different irradiation wavelengths to provide more reliable results. Finally, the photochemical reactivity of CMTE is widely unraveled, and some description of the mechanism observed under irradiation at 365 nm is given.

Additional details

Identifiers

DOI
10.1016/j.aca.2018.12.004;
PII
S0003267018314247;

Publishing Information

Journal Title
Analytica Chimica Acta
Journal Volume
1053
Journal Page Range
p. 32-42
ISSN
0003-2670
CODEN
ACACAM

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Copyright
Copyright (c) 2018 Elsevier B.V. All rights reserved.