Structure and properties of alizarin complex formed with alkali metal hydroxides in methanol solution

Original Paper
Part of the following topical collections:
  1. MIB 2015 (Modeling Interaction in Biomolecules VII)

Abstract

Quantum chemical computations were used for prediction of the structure and color of alizarin complex with alkali metal hydroxides in methanolic solutions. The color prediction relying on the single Gaussian-like band once again proved the usefulness of the PBE0 density functional due to the observed smallest color difference between computed and experimentally derived values. It was found that the alkali metal hydroxide molecules can bind to the two oxygen atoms of both hydroxyl groups of alizarin or to one of these atoms and the oxygen atom from the keto group in a complex with three methanol molecules. This means that two electronic transitions need to be taken into account when considering the spectra of the studied complexes. The resulting bond lengths and angles are correlated with the properties of the alkali metal atoms. The molar mass, the atomic radius, and the Pauling electronegativity of studied metals are quite accurate predictors of the geometric properties of hydroxide complexes with alizarin in methanol solution.

Graphical abstract

The spectra of the neutral and monoanionic form of alizarin together with color changes resulting from addition of different metal hydroxides and represented in CIE color space

Keywords

Alizarin Color Complex Hydroxide Metal Spectrum 

Notes

Compliance with ethical standards

The article “Structure and properties of alizarin complex formed with alkali metal hydroxides in methanol solution” submitted to Journal of Molecular Modeling does not have any sources of funding, also there are no financial or non-financial potential conflicts of interest.

Supplementary material

894_2016_2988_MOESM1_ESM.docx (31 kb)
Table S1 (DOCX 30 kb)

References

  1. 1.
    Angelini LG, Pistelli L, Belloni P, Bertoli A, Panconesi S (1997) Rubia tinctorum a source of natural dyes: agronomic evaluation, quantitative analysis of alizarin and industrial assays. Ind Crop Prod 6:303–311CrossRefGoogle Scholar
  2. 2.
    Murcia-Mascarós S, Domingo C, Sanchez-Cortes S, Cañamares MV, Garcia-Ramos JV (2005) Spectroscopic identification of alizarin in a mixture of organic red dyes by incorporation in Zr-Ormosil. J Raman Spectrosc 36:420–426CrossRefGoogle Scholar
  3. 3.
    Fain VY, Zaitsev BE, Ryabov MA (2004) Metal complexes with alizarin and alizarin Red S: electronic absorption spectra and structure of ligands. Russ J Coord Chem 30:365–370CrossRefGoogle Scholar
  4. 4.
    Sánchez-de-Armas R, Oviedo López J, San-Miguel MA, Sanz JF, Ordejón P, Pruneda M (2010) Real-time TD-DFT simulations in dye sensitized solar cells: the electronic absorption spectrum of alizarin supported on TiO2 nanoclusters. J Chem Theory Comput 6:2856–2865CrossRefGoogle Scholar
  5. 5.
    Canamares MV, Ramos JVG, Domingo C, Cortes SS (2006) Surface-enhanced Raman scattering study of the adsorption of the anthraquinone pigment alizarin on Ag nanoparticles. J Raman Spectrosc 35:921–927CrossRefGoogle Scholar
  6. 6.
    Das S, Bhattacharya A, Mandal PC, Rath MC, Mukherjee T (2002) One-electron reduction of 1, 2-dihydroxy-9, 10-anthraquinone and some of its transition metal complexes in aqueous solution and in aqueous isopropanol–acetone-mixed solvent: a steady-state and pulse radiolysis study. Radiat Phys Chem 65:93–100CrossRefGoogle Scholar
  7. 7.
    Berman HM, Young PR (1981) The interaction of intercalating drugs with nucleic acids. Annu Rev Biophys Bioeng 10:87–114CrossRefGoogle Scholar
  8. 8.
    Remers WA (1979) The chemistry of antitumour antibiotics. Wiley, New YorkGoogle Scholar
  9. 9.
    Thomson RH (1987) Naturally occurring quinones. Chapman and Hall, LondonGoogle Scholar
  10. 10.
    Choi JR, Jeoung SC, Cho DW (2004) Two-photon-induced excited-state intramolecular proton transfer process in 1-hydroxyanthraquinone. Chem Phys Lett 385:384–388CrossRefGoogle Scholar
  11. 11.
    Giacco TD, Latterini L, Elisei F (2003) Photophysical and photochemical properties of 1,2,4-trihydroxy-9,10-anthraquinone adsorbed on inorganic oxides. Photochem Photobiol Sci 2:681–687CrossRefGoogle Scholar
  12. 12.
    Milliani C, Romani A, Favaro G (2000) Acidichromic effects in 1,2-di- and 1,2,4-tri- hydroxyanthraquinones. A spectrophotometric and fluorimetric study. J Phys Org Chem 13:141–150CrossRefGoogle Scholar
  13. 13.
    Das S, Saha A, Mandal PC (1996) Studies on the formation of Cu(II) and Ni(II) complexes of l,2-dihydroxy-9,10-anthraquinone and lack of stimulated superoxide formation by the complexes. Talanta 43:95–102CrossRefGoogle Scholar
  14. 14.
    Quinti L, Allen N, Edge M, Murphy B, Perotti A (2003) A study of the strongly fluorescent species formed by the interaction of the dye 1,4-dihydroxyanthraquinone (quinizarin) with Al(III). J Photochem Photobiol A 155:79–91CrossRefGoogle Scholar
  15. 15.
    Quinti L, Allen N, Edge M, Murphy B, Perotti A (2003) A study of the luminescent complexes formed by the dye 1,4-dihydroxyanthraquinone (quinizarin) and Ga(III) and In(III). J Photochem Photobiol A 155:93–106CrossRefGoogle Scholar
  16. 16.
    Komiha N, Kabbaj OK, Charibi M (2002) Dyes on archaeological textiles: analyzing Alizarin and its degradation products. J Mol Chem 594:135–145Google Scholar
  17. 17.
    Doskocz M, Kubas K, Frąckowiak A, Gancarz R (2005) NMR and ab initio studies of Mg2+, Ca2+, Zn2+, Cu2+ alizarin complexes. Polyhedron 28:2201–2205CrossRefGoogle Scholar
  18. 18.
    Say-Liang-Fat S, Cornard JP (2011) Al(III) complexation by alizarin studied by electronic spectroscopy and quantum chemical calculations. Polyhedron 30:2326–2332CrossRefGoogle Scholar
  19. 19.
    Sasirekha V, Umadevi M, Ramakrishnan V (2008) Solvatochromic study of 1,2-dihydroxyanthraquinone in neat and binary solvent mixtures. Spectrochim Acta Part A 69:148–155CrossRefGoogle Scholar
  20. 20.
    Savko M, Kasackova S, Gbur P, Miskovsky P, Ulicny J (2007) Performance of time dependent density functional theory on excitations of medium sized molecules—test on ionic forms of anthraquinone dihydroxy derivatives. J Mol Struct (Theochem) 823:78–86CrossRefGoogle Scholar
  21. 21.
    Jeliński T, Cysewski P, Makarewicz E (2013) Application of alizarin colorimetric measurements for quantification of amine extraction by model food simulants from epoxy polymer. Springerplus 2:593CrossRefGoogle Scholar
  22. 22.
    Cysewski P, Jeliński T, Przybyłek M, Shyichuk A (2012) Color prediction from first principle quantum chemistry computations: a case of alizarin dissolved in methanol. New J Chem 36:1836–1843CrossRefGoogle Scholar
  23. 23.
    Brémond E, Kieffer J, Adamo C (2010) A reliable method for fitting TD-DFT transitions to experimental UV–visible spectra. Theochem 954:52–56CrossRefGoogle Scholar
  24. 24.
    OriginLab (2016) Origin version 8.0. OriginLab, Northampton, MAGoogle Scholar
  25. 25.
    Sturm JE (1990) Grid of expressions related to the Einstein coefficients. J Chem Educ 67:32–33CrossRefGoogle Scholar
  26. 26.
    Hollas JM (1982) High resolution spectroscopy. Butternorth, LondonGoogle Scholar
  27. 27.
    Sturm JE (1992) A revision of the paper “grid of expressions related to the Einstein coefficients”. J Chem Educ 67:686CrossRefGoogle Scholar
  28. 28.
    Kohn W, Sham LJ (1965) Self-consistent equations including exchange and correlation effects. Phys Rev 140:A1133CrossRefGoogle Scholar
  29. 29.
    Parr RG, Yang W (1989) Density-functional theory of atoms and molecules. Oxford University Press, New YorkGoogle Scholar
  30. 30.
    Koch W, Holthausen MC (2000) A chemist’s guide to density functional theory. Wiley, WeinheimGoogle Scholar
  31. 31.
    Van Gisbergen SJA, Guerra CF, Baerends EJ (2000) Towards excitation energies and (hyper)polarizability calculations of large molecules. Application of parallelization and linear scaling techniques to time-dependent density functional response theory. J Comput Chem 21:1511–1523CrossRefGoogle Scholar
  32. 32.
    Jacquemin D, Perpète EA, Ciofini I, Adamo C (2009) Accurate simulation of optical properties in dyes. Acc Chem Res 42:326–334CrossRefGoogle Scholar
  33. 33.
    Fabian J (2010) TDDFT-calculations of Vis/NIR absorbing compounds. Dyes Pigments 84:36–53CrossRefGoogle Scholar
  34. 34.
    Miertuš S, Scrocco E, Tomasi J (1981) Electrostatic interaction of a solute with a continuum. A direct utilizaion of AB initio molecular potentials for the prevision of solvent effects. Chem Phys 55:117–129CrossRefGoogle Scholar
  35. 35.
    Hurvich LM, Jameson D (1957) An opponent-process theory of color vision. Psychol Rev 64:384–403CrossRefGoogle Scholar
  36. 36.
    CIE (1932) Commission Internationale de l’Eclairage Proceedings, 1931. Cambridge University Press, CambridgeGoogle Scholar
  37. 37.
    Smith T, Guild J (1931) The CIE colorimetric standards and their use. Trans Opt Soc 33:73–134CrossRefGoogle Scholar
  38. 38.
    Schanda J (2007) Colorimetry. Understanding the CIE system. Wiley, New YorkGoogle Scholar
  39. 39.
    Netravali AN, Haskell BG (1994) Digital pictures: representation, compression, and standards. Plenum Press, New YorkGoogle Scholar
  40. 40.
    Broadbent AD (2004) A critical review of the development of the CIE 1931 RGB color-matcing functions. Color Res Appl 29:267–272CrossRefGoogle Scholar
  41. 41.
    Mokrzycki W, Tatol M (2011) Color difference ΔE: a survey. Machine Graphics and Vision 20:383–411Google Scholar
  42. 42.
    Adamo C, Barone V (1999) Toward reliable density functional methods without adjustable parameters: the PBE0 method. J Chem Phys 110:6158–6170CrossRefGoogle Scholar
  43. 43.
    Perdew JP, Burke K, Ernzerhof M (1996) Generalized gradient approximation made simple. Phys Rev Lett 77:3865–3868CrossRefGoogle Scholar
  44. 44.
    Perdew JP, Burke K, Ernzerhof M (1997) Generalized gradient approximation made simple. Phys Rev Lett 78:1396CrossRefGoogle Scholar
  45. 45.
    Zhao Y, Truhlar DG (2008) The M06 suite of density functionals for main group thermochemistry, thermochemical kinetics, noncovalent interactions, excited states, and transition elements: two new functionals and systematic testing of four M06-class functionals and 12 other functionals. Theor Chem Accounts 120:215–241CrossRefGoogle Scholar
  46. 46.
    Lee C, Yang W, Parr RG (1988) Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density. Phys Rev B 37:785–789CrossRefGoogle Scholar
  47. 47.
    Miehlich B, Savin A, Stoll H, Preuss H (1989) Results obtained with the correlation energy density functionals of Becke and Lee, Yang and Parr. Chem Phys Lett 157:200–206CrossRefGoogle Scholar
  48. 48.
    Becke AD (1997) Density-functional thermochemistry. V. Systematic optimization of exchange-correlation functionals. J Chem Phys 107:8554–8560CrossRefGoogle Scholar
  49. 49.
    Wilson PJ, Bradley TJ, Tozer DJ (2001) Hybrid exchange–correlation functional determined from thermochemical data and ab initio potentials. J Chem Phys 115:9233–9242CrossRefGoogle Scholar
  50. 50.
    Becke A (1996) Density‐functional thermochemistry. IV. A new dynamical correlation functional and implications for exact‐exchange mixing. J Chem Phys 104:1040–1046CrossRefGoogle Scholar
  51. 51.
    Adamo C, Barone V (1997) Toward reliable adiabatic connection models free from adjustable parameters. Chem Phys Lett 274:242–250CrossRefGoogle Scholar
  52. 52.
    Becke AD (1993) Density-functional thermochemistry. III. The role of exact exchange. J Chem Phys 98:5648–5652CrossRefGoogle Scholar
  53. 53.
    Ernzerhof M, Perdew JP (1989) Generalized gradient approximation to the angle- and system-averaged exchange hole. J Chem Phys 109:3313–3320CrossRefGoogle Scholar
  54. 54.
    Schmider HL, Becke AD (1998) Optimized density functionals from the extended G2 test set. J Chem Phys 108:9624–9631CrossRefGoogle Scholar
  55. 55.
    Adamo C, Barone V (1998) Exchange functionals with improved long-range behavior and adiabatic connection methods without adjustable parameters: the mPW and mPW1PW models. J Chem Phys 108:664–675CrossRefGoogle Scholar
  56. 56.
    Heyd J, Scuseria G (2004) Efficient hybrid density functional calculations in solids: assessment of the heyd-Scuseria-Ernzerhof screened coulomb hybrid functional. J Chem Phys 121:1187–1192CrossRefGoogle Scholar
  57. 57.
    Heyd J, Peralta JE, Scuseria GE, Martin RL (2005) Energy band gaps and lattice parameters evaluated with the heyd-Scuseria-Ernzerhof screened hybrid functional. J Chem Phys 123:174101CrossRefGoogle Scholar
  58. 58.
    Krukau AV, Vydrov OA, Izmaylov AF, Scuseria GE (2006) Influence of the exchange screening parameter on the performance of screened hybrid functionals. J Chem Phys 125:224106CrossRefGoogle Scholar
  59. 59.
    Henderson TM, Izmaylov AF, Scalmani G, Scuseria GE (2009) Can short-range hybrids describe long-range-dependent properties? J Chem Phys 131:044108CrossRefGoogle Scholar
  60. 60.
    Krawczyk P (2015) Time-dependent density functional theory calculations of the solvatochromism of some azo sulfonamide fluorochromes. J Mol Model 21:118CrossRefGoogle Scholar
  61. 61.
    Tong GSM, Chang KT, Chang X, Che C-M (2015) Theoretical studies on the photophysical properties of luminescent pincer gold(III) arylacetylide complexes: the role of π-conjugation at the C-deprotonated [C^N^C] ligand. Chem Sci 6:3026–3037CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Department of Physical Chemistry, Collegium MedicumNicolaus Copernicus UniversityBydgoszczPoland

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