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Betanidin pK(a) Prediction Using DFT Methods

[Image: see text] Betalains can be used in food, drugs, and cosmetic industries and have shown their bioactive potential. These properties are strongly influenced by pH and other physicochemical conditions. The pK(a) values for the polyprotic Betanidin (Bd) molecule are unknown, and they are crucial...

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Autores principales: Rodriguez, Sergio A., Baumgartner, Maria T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7301574/
https://www.ncbi.nlm.nih.gov/pubmed/32566840
http://dx.doi.org/10.1021/acsomega.0c00904
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author Rodriguez, Sergio A.
Baumgartner, Maria T.
author_facet Rodriguez, Sergio A.
Baumgartner, Maria T.
author_sort Rodriguez, Sergio A.
collection PubMed
description [Image: see text] Betalains can be used in food, drugs, and cosmetic industries and have shown their bioactive potential. These properties are strongly influenced by pH and other physicochemical conditions. The pK(a) values for the polyprotic Betanidin (Bd) molecule are unknown, and they are crucial to elucidate the oxidation mechanism in which its pigment is involved. In the present study, the values of pK(a) for all protic groups of Bd were analyzed using five hybrid density functionals (B3LYP, B3PW91, ωB97XD, PBE0, and M06-2X), five basis sets (6-31+G(d), 6-31+G(d,p), 6-31++G(d,p), 6-311+G(d,p), and 6-311++G(d,p)) and the solvation model based on density (SMD) implicit solvation model. Moreover, one and three explicit water molecules were added to improve the solvation free energy values. Furthermore, the values of pK(a) of betanin, betalamic acid, and cyclo-dihydroxyphenylalanine (DOPA) were studied. Based on these analyses, we propose the acid–base behavior of Bd in water and develop new tools to understand their chemical reactivity.
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spelling pubmed-73015742020-06-19 Betanidin pK(a) Prediction Using DFT Methods Rodriguez, Sergio A. Baumgartner, Maria T. ACS Omega [Image: see text] Betalains can be used in food, drugs, and cosmetic industries and have shown their bioactive potential. These properties are strongly influenced by pH and other physicochemical conditions. The pK(a) values for the polyprotic Betanidin (Bd) molecule are unknown, and they are crucial to elucidate the oxidation mechanism in which its pigment is involved. In the present study, the values of pK(a) for all protic groups of Bd were analyzed using five hybrid density functionals (B3LYP, B3PW91, ωB97XD, PBE0, and M06-2X), five basis sets (6-31+G(d), 6-31+G(d,p), 6-31++G(d,p), 6-311+G(d,p), and 6-311++G(d,p)) and the solvation model based on density (SMD) implicit solvation model. Moreover, one and three explicit water molecules were added to improve the solvation free energy values. Furthermore, the values of pK(a) of betanin, betalamic acid, and cyclo-dihydroxyphenylalanine (DOPA) were studied. Based on these analyses, we propose the acid–base behavior of Bd in water and develop new tools to understand their chemical reactivity. American Chemical Society 2020-06-04 /pmc/articles/PMC7301574/ /pubmed/32566840 http://dx.doi.org/10.1021/acsomega.0c00904 Text en Copyright © 2020 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Rodriguez, Sergio A.
Baumgartner, Maria T.
Betanidin pK(a) Prediction Using DFT Methods
title Betanidin pK(a) Prediction Using DFT Methods
title_full Betanidin pK(a) Prediction Using DFT Methods
title_fullStr Betanidin pK(a) Prediction Using DFT Methods
title_full_unstemmed Betanidin pK(a) Prediction Using DFT Methods
title_short Betanidin pK(a) Prediction Using DFT Methods
title_sort betanidin pk(a) prediction using dft methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7301574/
https://www.ncbi.nlm.nih.gov/pubmed/32566840
http://dx.doi.org/10.1021/acsomega.0c00904
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