Computational Quantification of the Zwitterionic/Quinoid Ratio of Phenolate Dyes for Their Solvatochromic Prediction

Solvatochromic dyes are utilized in various chemical and biological media as chemical sensors. Unfortunately, there is no simple way to predict the type of solvatochromism based on the structure of the dye alone, which restricts their design and synthesis. The most important family of solvatochromic...

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Main Authors: Andrés Aracena, Moisés Domínguez
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/27/24/9023
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author Andrés Aracena
Moisés Domínguez
author_facet Andrés Aracena
Moisés Domínguez
author_sort Andrés Aracena
collection DOAJ
description Solvatochromic dyes are utilized in various chemical and biological media as chemical sensors. Unfortunately, there is no simple way to predict the type of solvatochromism based on the structure of the dye alone, which restricts their design and synthesis. The most important family of solvatochromic sensors, pyridinium phenolate dyes, has the strongest solvatochromism. Using a natural population analysis (NPA) of the natural bond orbitals (NBO) of the phenolate group in the frontier molecular orbitals, it is possible to calculate the relative polarity of the ground state and excited state and, thus to develop a model that can predict the three types of solvatochromism observed for this family: negative, positive, and inverted. This methodology has been applied to thirteen representative examples from the literature. Our results demonstrate that the difference in the electron density of the phenolate moiety in the frontier molecular orbitals is a simple and inexpensive theoretical indicator for calculating the relative polarity of the ground and excited states of a representative library of pyridinium phenolate sensors, and thus predicting their solvatochromism. Comparing the results with the bond length alternation (BLA) and bond order alternation (BOA) indices showed that the NPA/NBO method is a better way to predict solvatochromic behavior.
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spelling doaj.art-b0864b16793f453f90180d13c908b0e92023-11-24T17:01:29ZengMDPI AGMolecules1420-30492022-12-012724902310.3390/molecules27249023Computational Quantification of the Zwitterionic/Quinoid Ratio of Phenolate Dyes for Their Solvatochromic PredictionAndrés Aracena0Moisés Domínguez1Instituto de Ciencias Naturales, Facultad de Medicina Veterinaria y Agronomía, Universidad de Las Américas, Sede Santiago, Campus La Florida, Avenida Walker Martínez 1360, La Florida 8240000, Santiago, ChileFacultad de Química y Biología, Universidad de Santiago de Chile, Estación Central 9160000, Santiago, ChileSolvatochromic dyes are utilized in various chemical and biological media as chemical sensors. Unfortunately, there is no simple way to predict the type of solvatochromism based on the structure of the dye alone, which restricts their design and synthesis. The most important family of solvatochromic sensors, pyridinium phenolate dyes, has the strongest solvatochromism. Using a natural population analysis (NPA) of the natural bond orbitals (NBO) of the phenolate group in the frontier molecular orbitals, it is possible to calculate the relative polarity of the ground state and excited state and, thus to develop a model that can predict the three types of solvatochromism observed for this family: negative, positive, and inverted. This methodology has been applied to thirteen representative examples from the literature. Our results demonstrate that the difference in the electron density of the phenolate moiety in the frontier molecular orbitals is a simple and inexpensive theoretical indicator for calculating the relative polarity of the ground and excited states of a representative library of pyridinium phenolate sensors, and thus predicting their solvatochromism. Comparing the results with the bond length alternation (BLA) and bond order alternation (BOA) indices showed that the NPA/NBO method is a better way to predict solvatochromic behavior.https://www.mdpi.com/1420-3049/27/24/9023solvatochromismphenolate dyeszwitterionic structurequinoidcharge transfer
spellingShingle Andrés Aracena
Moisés Domínguez
Computational Quantification of the Zwitterionic/Quinoid Ratio of Phenolate Dyes for Their Solvatochromic Prediction
Molecules
solvatochromism
phenolate dyes
zwitterionic structure
quinoid
charge transfer
title Computational Quantification of the Zwitterionic/Quinoid Ratio of Phenolate Dyes for Their Solvatochromic Prediction
title_full Computational Quantification of the Zwitterionic/Quinoid Ratio of Phenolate Dyes for Their Solvatochromic Prediction
title_fullStr Computational Quantification of the Zwitterionic/Quinoid Ratio of Phenolate Dyes for Their Solvatochromic Prediction
title_full_unstemmed Computational Quantification of the Zwitterionic/Quinoid Ratio of Phenolate Dyes for Their Solvatochromic Prediction
title_short Computational Quantification of the Zwitterionic/Quinoid Ratio of Phenolate Dyes for Their Solvatochromic Prediction
title_sort computational quantification of the zwitterionic quinoid ratio of phenolate dyes for their solvatochromic prediction
topic solvatochromism
phenolate dyes
zwitterionic structure
quinoid
charge transfer
url https://www.mdpi.com/1420-3049/27/24/9023
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AT moisesdominguez computationalquantificationofthezwitterionicquinoidratioofphenolatedyesfortheirsolvatochromicprediction