Experimental and computational studies of protolytic and tautomeric equilibria of Erythrosin B and Eosin Y in water/DMSO

D. Vanzina, C. F. Freitasa, D. S. Pellosia, V. R. Batistelaa, A. E. H. Machadob, R. M. Pontesa, W. Caetanoa and N. Hioka*a
aDepartment of Chemistry, Research Nucleus in Photodynamic System, State University of Maringa, Av. Colombo 5790, 87020-900, Maringa, PR, Brazil. E-mail: nhioka@uem.br; Tel: +55-44-30113654
bInstitute of Chemistry, Lab. of Photochemistry and Science Materials, Federal University of Uberlandia, Av. João Naves de Avila 2160, 38408-100, Uberlandia, MG, Brazil

Received 10th May 2016 , Accepted 11th November 2016

First published on 14th November 2016


Abstract

Xanthene dyes Eosin Y (EOS) and Erythrosin B (ERY) are photosensitizers that present a complex protolytic system. To understand how the media affects their properties, we correlated the experimental pKa in water/DMSO with theoretical calculations by molecular modeling approaches based on their tautomer's energy. It shows that in EOS the phenolic group is more acidic than the carboxylic group due to the presence of bromine atoms. The iodine in ERY, through the stability of tautomers involved in the protolytic forms, drives pKa-COOH < pKa-OH in water-rich media and the inversion pKa-OH < pKa-COOH in DMSO-rich media caused by the solvation that affects its tautomeric equilibria. For EOS, the possible protolytic equilibria are: NEL ⇌ MAF or NEQ ⇌ MAF as pKa1 = pKa-OH and MAF ⇌ DA as pKa2 = pKa-COOH in the range of 0 to 70% of DMSO in water. For ERY at above 35% DMSO in water, the pKa-OH < pKa-COOH came from the large amount of MAF and NEL, indicating that these tautomers may be responsible by the inversion. These effects originate from different electronic delocalizations influenced by the overlap between the σ natural bond orbitals of C–I (ERY) or C–Br (EOS) with π* of C–C, higher for ERY than for EOS. The simulated spectra permitted the confirmation of experimental finds of molar fractions. The analysis of the molecular orbitals confirmed that the main changes in absorption profile are due to HOMO–LUMO π–π* transitions related to the phenolic group. The results allowed understanding of the influence of the environment on preferential tautomers and pKa.


Introduction

Erythrosin B (Acid Red 51; C.I. 45430; 6-hydroxy-2,4,5,7-tetraiodofluorescein, denoted ERY) and Eosin Y (acid red 87; C.I. 45380; 2,4,5,7-tetrabromofluorescein, denoted EOS) are xanthene dyes that generate singlet oxygen with high efficiency, an essential feature for photodynamic therapy (PDT) and Photodynamic Inactivation of Microorganisms (PDIMO).1–7

However, both ERY and EOS are polyprotic acids and few reports have considered which chemical structure is responsible for their photophysical properties due to their complex dependence on the local pH. Indeed, both dyes present three protolytic groups with close pKa values. Moreover, each of the protolytic species presents complex tautomeric equilibria.8–14

ERY and EOS compounds present two phenolic groups in the xanthene ring and a carboxylic substituent at the benzene ring. These three pKa correspond to four protolytic species: the most acidic species is the cationic (CT), followed by the neutral (NE), the monoanionic (MA) and the basic dianionic (DA). However, the neutral NE species presents three tautomeric forms, the zwitterionic (NEZ), the quinoid (NEQ) and the lactone (NEL), while the monoanionic (MA) exhibits two tautomers, the carboxylate (MAC) and the phenolate (MAF).8–12,15,16 Fig. 1 illustrates the structure of these protolytic species and their tautomers.


image file: c6ra12198e-f1.tif
Fig. 1 Structures of EOS and ERY and theirs protolytic equilibrium between cationic CT, neutral NE, monoanionic MA and dianionic DA protolytic forms. Atom numeration for NEQ follows IUPAC norms.15,16

The presence of each tautomeric form is also dependent on the local polarity and the physical state of the dye. For the neutral (NE) protolytic species the literature points out the zwitterionic NEZ tautomer only for fluorescein (X = H in Fig. 1) in the solid state, in aqueous solutions, and in water-rich mixtures.8,17,18 However the amount of NEZ tautomer is negligible for halo-derivatives of fluorescein such as EOS and ERY.16,19,20 The presence of halogen atoms in these dyes increase the acidity of the phenolic groups, preventing the existence of NEZ (structure in Fig. 1). In fact, the pKa-OH of EOS (2.02) and ERY (3.79) in water are much lower than the value reported for fluorescein (6.10).15 Therefore in liquid solution for these halo-xanthenes only the tautomers NEL and NEQ are usually considered. On the other hand, the occurrence of the lactone NEL depends on the sp3 hybridization of the carbon C9 (Fig. 1), with rupture of resonance on the chromophoric aromatic ring, leading to a dramatic decrease in the molar absorptivity (ε).8,16,19 This lactone form prevails in organic non-protic solvents and with low dielectric constants,16,21 while the quinoid NEQ structure is favored in polar solvents such as water.

In a theoretical study involving monoanionic (MA) protolytic species of fluorescein in water and DMSO, Jang and co-workers discarded the lactone-type structure.9 Therefore, two monoanionic tautomers are considered in the literature for ERY and EOS: the MAC and MAF structures that correspond to, respectively, the carboxylate bounded at the benzene ring and the phenolate group at the xanthene ring (structures in Fig. 1).

Moreover, usually carboxylic groups show higher acidity than the phenolic, i.e., pKa-COOH < pKa-OH, being the negative charge of the basic form, better stabilized in the carboxylate than in the phenolate.22 However this is not always true in halo-xanthenes, where the presence of four strong electron-withdrawing substituents in xanthene ring can promotes the pKa inversion (pKa-COOH > pKa-OH).15,16,23

To investigate these complex acid–base systems and the participation of the tautomers on the equilibrium between the neutral and monoanionic protolytic species of halo-xanthenes, in the present study methyl ester derivatives of EOS and ERY were synthesized: the eosin methyl ester (named as EOSMET) and erythrosine methyl ester (named as ERYMET), Fig. 2.15 These esters do not present the carboxylic group, facilitating the pKa and the tautomeric analyses since the only possible equilibrium under this condition is MET-NE ⇌ MET-MA.15 Using Multivariate Analysis techniques, it was reported that in aqueous solutions ERY (four iodine substituents) presented the usual pKa-COOH < pKa-OH, whereas EOS (four bromine substituents) showed the inversion pKa-COOH > pKa-OH. Actually, the challenge is to evaluate the role of each tautomer that allows their pKa attribution for pKa1 (NE ⇌ MA) and pKa2 (MA ⇌ DA).


image file: c6ra12198e-f2.tif
Fig. 2 Structures of esters derivatives EOSMET and ERYMET and the protolytic equilibrium between their neutral MET-NE and monoanionic MET-MA protolytic forms.15

Indeed the solvent can also promote the pKa inversion, as reported by Mchedlov-Petrossyan for fluorescein in water/DMSO mixtures.8 This effect was explained considering the shift of the tautomeric equilibrium of the neutral species at high percentages of DMSO, being justified by the prevalence of the NEL structure, demonstrated by the low absorbance of the neutral species (εNEL ∼ 0). This was also reported for 2,7-dichlorofluorescein in benzene/ethanol/water mixtures and in non-ionic micelles.19

Studies involving fluorescein tautomers were previously performed using Density Functional Theory (DFT) with the B3LYP hybrid functional, the basis set 6-31G, and the continuous solvation model of Poisson–Boltzmann with PCM (Polarizable Continuum Model) in water and DMSO.9,24 Despite the tautomer mixtures in DMSO, this study suggested the MAF and NEL structures, as the main forms of the monoanionic and the neutral species. A computational study about the pKa of fluorescein and its fluorine and chlorine derivatives showed good agreement with the experimental data and an increase of the acidity for halogenated compounds.25 However, there still persist the need to understand the influence of bromine and iodine atoms on the properties of xanthene dyes.

In this work, studies were performed to elucidate the origin of pKa inversion of ERY and EOS including the solvent dependence, as similarly pointed out to other xanthenes.8,19 In this way, we try to clarify the extension of the tautomer's involvement for neutral and monoanionic species on the pKa inversion using thermodynamic and spectrophotometric analysis by experimental data and molecular modeling in water, DMSO and their mixtures.

Materials and methods

Experimental

All reagents of analytical grade were used as received. Solvents were previously purified. The Erythrosin B and Eosin Y were purchased from Vetec and theirs methyl esters were synthesized and characterized by NMR of 1H and 13C, and by FT-IR as reported.5,15,26 The stock solutions of ERY and EOS were prepared in water, while ERYMET and EOSMET in DMSO. These stock solutions were maintained frozen and in the dark for up to 2 weeks and were periodically standardized by UV-Vis electronic absorption measurement.

Experimental pKa determination in water/DMSO mixtures

The pKa of the dyes were determined in water/DMSO mixtures with the DMSO amount varying from 0 to 70% (v/v) using UV-Vis absorption spectrophotometry (Varian Cary-60). The measurements above 70% DMSO were not performed due to insolubility of the Mcllvaine buffer ([Na2HPO4] = [citric acid] = 7.5 × 10−3 mol L−1). The experimental procedures and the calculation methodology by Multivariate Analysis techniques were similar to those previously utilized in pure water.15 The pH measurements were performed using a Meterlab pHM 240 pH-meter equipped with a combined glass electrode. For water/DMSO mixtures the measurements were done against a saturated calomel electrode as reference. The ionic strength was controlled with NaCl 0.10 mol L−1. The temperature was set at 30.0 °C in all experiments, and the dye concentration was maintained at 5.0 × 10−6 mol L−1.

Calculation of the tautomeric equilibrium constants using experimental data

The calculation of the experimental tautomeric equilibrium constants (KT) was done as reported in the literature.8,16 Some approaches were assumed: (i) NEL is colorless (εNEL = 0) and (ii) the substituent connected to C2′ (Fig. 1) caused no influence in the visible absorption band, allowing to consider the spectral equivalence using the molar absorptivities εCT = εNEZ, εNEQ = εMAC and εMAF = εDA due the identical molecular structure of the chromophore ring.

For methyl esters, independent of the media, the neutral structure is necessarily the phenolic (named as MET-NE), where the chromophoric structure is similar to the tautomers MAC and NEQ of ERY and EOS, while the monoanionic form is a phenolate (named MET-MA), similar to MAF and DA (Fig. 2). Therefore it is proposed the following equivalence of absorptivities: εMET-NE = εNEQ = εMAC and εMET-MA = εMAF = εDA. The presence of NEZ was discarded (molar fraction, χNEZ ∼ 0) as discussed before. Adopting these approaches for ERY and EOS, the calculation of the molar fraction χ of each neutral tautomer was performed using the equation εNE = εNEQ·χNEQ + εNEL·χNEL.8,16 However, if εNEL = 0, the resulting equation is

 
εNE = εNEQ·χNEQ (1)
where χNEQ + χNEL = 1.

For the monoanionic tautomer the molar fraction χ was calculated by a two variables two equation system, considering

 
εMA = εMAC·χMAC + εMAF·χMAF (2)
where χMAC + χMAF = 1.

In eqn (1) and (2), εNE and εMA are the apparent molar absorptivities obtained from the experimental data of the total absorption intensity of mixed tautomers, respectively, for the neutral (NE) and monoanionic (MA) species. From the molar fraction of each structure the tautomeric equilibrium constant KT for the neutral species (KQ-L = χNEL/χNEQ) and for the monoanionic (KM = χMAF/χMAC) was calculated.

Computational details

The structure optimizations were done initially for the NEQ of ERY in vacuum using the B3LYP hybrid functional27 combined with the DGDZVP basis set.28 This level of theory was chosen due the efficient results of molecular geometry and energy calculations allied to the low computational time, as previously reported.28,29 All structural optimizations of ERY, ERYMET, EOS and EOSMET tautomers and protolytic forms were started from this optimized NEQ structure. The origin in this same Cartesian plane ensures a geometric orientation similar to all species (Fig. SI-1, Tables SI-1 and SI-2 in ESI) and allows the comparison of dipole moments, even for the anionic species.13

Geometry optimizations and frequency calculations were also conducted using the B3LYP/6-311++G(d,p), M06-2X/DGDZVP and M06-2X/LANL2DZdp levels of theory. The iodine atom was described, using the extrabasis option, by the basis set LANL2DZdp ECP (DZP double zeta + polarization + diffuse ECP)30 or by the basis set 6-311G(d,p),31 both obtained from Basis Set Exchange, version 1.2.2 (http://www.bse.pnl.gov). The DGDZVP basis set is also parameterized for iodine atoms and it was not necessary to include extrabasis. The same levels of theory were also used in the optimizations of these species solvated in water and DMSO using the IEF-PCM32 solvation model. All the optimized structures were characterized as real minima since in the frequency calculations imaginary frequencies were not found. The standard Gibbs free energy of solvation (image file: c6ra12198e-t1.tif) was estimated by single point calculations using IEF-PCM and SMD solvation models with UFF, Pauling and Coulomb (only for SMD) atomic radii sets.33–35 Analyses of NBO (Natural Bonding Orbital) were done with B3LYP/DGDZVP in vacuum and using SMD-Coulomb solvation model. Delocalization energies were calculated using the natural bond orbital analysis method (NBO 3.1) by zeroing all orbitalar interactions using the keywords pop = nbodel and nostar.

Implicit-explicit calculations were also performed with the neutral and monoanionic tautomers of ERY and EOS, adding 3× water molecules: at the side of each O15, O16 and O9′ oxygens (Fig. 1); or 6× water molecules: at the side of each O15 and O16 oxygens and 4× at side of the carboxylic group. For this the B3LYP/DGDZVP level of theory and IEF-PCM/UFF solvation model were used to optimization and frequency calculations. After that, the SMD/Coulomb solvation model in the same level of theory was used to perform single point calculations with the optimized structures. For the calculations of tautomeric equilibria (KT) of neutral forms, the electronic energy (E0) was corrected considering the Basis Set Superposition Error36 of the 6× water molecules with the xanthene dyes, adding the solute–solvent interaction energy (ΔEint) to the solute energy. UV-Vis absorption spectra were simulated using the TD-DFT approach at the B3LYP/DGDZVP, B3LYP/6-311++G(d,p), CAM-B3LYP/DGDZVP, CAM-B3LYP/6-311++G(d,p) and M06-2X/DGDZVP levels of theory along with the solvation models SMD and IEF-PCM.

The UFF, Pauling and SMD-Coulomb radii sets were tested on DA, MET-NE, and MET-MA of ERY and EOS in water. The closest agreement with the experimental maximum wavelength, λmax, was achieved using B3LYP/6-311++G(d,p) along with the SMD-Coulomb solvation model. In this way, this combination was used throughout all the remaining calculations in water and DMSO. All calculations were carried using the Gaussian 09 software package, revision A.01.37 The schematic illustrations of Fig. 1, 2 and 6 were generated using the CS ChemDraw Ultra® software.38

The tautomeric equilibrium by chemical-computational treatments

The standard Gibbs free energy of reaction (image file: c6ra12198e-t2.tif) involves the electronic energy (E0) plus the thermal correction for the free energy (Gcorr) obtained from a frequency calculation.39 The values of image file: c6ra12198e-t3.tif for the equilibria NEQ ⇌ NEL (image file: c6ra12198e-t4.tif) and MAC ⇌ MAF (image file: c6ra12198e-t5.tif) were evaluated in water and DMSO at 298.15 K using eqn (3),
 
image file: c6ra12198e-t6.tif(3)

For the solvation of each specie the IEF-PCM and SMD models were tested varying the radii set of UFF, Pauling and SMD-Coulomb in Single Point calculations aiming to improve the electronic energy (E0) results. The Gcorr was obtained with IEF-PCM/UFF trough frequencies calculations. The E0 and Gcorr, applied to eqn (3) for each specific equilibrium, furnished image file: c6ra12198e-t7.tif and image file: c6ra12198e-t8.tif. From these image file: c6ra12198e-t9.tif, the tautomerization equilibrium constants KQ-L and KM were determined by eqn (4), where R is 1.987 × 10−3 kcal mol−1 K.40–42 This treatment also permitted to verify the role of NEZ in the equilibrium with NEQ and NEL,

 
image file: c6ra12198e-t10.tif(4)

pKa calculation using computational methodology

The pKa calculation of the protolytic processes was performed using eqn (5), which considers the variation of the standard Gibbs free energy of deprotonation of an acid (HA) in water (image file: c6ra12198e-t11.tif) or DMSO (where image file: c6ra12198e-t12.tif is replaced by image file: c6ra12198e-t13.tif), obtained from the thermodynamic cycle illustrated in ESI, Scheme SI-1. 43,44 The standard Gibbs free energy (G°) in gas phase of the protonated (HAgas) and deprotoned (Agas) forms were obtained from frequency calculations performed at each level of theory evaluated. The study followed a methodology described in the literature,43,45 using optimized structures in water or DMSO (IEF-PCM/UFF) to perform Single Point calculations, obtaining the image file: c6ra12198e-t14.tif values for HA and A. In these calculations, the solvation models IEF-PCM and SMD were tested together with the radii sets UFF, Pauling and SMD-Coulomb.
 
image file: c6ra12198e-t15.tif(5)

The resolution of the thermodynamic cycle in water results in the following expression for image file: c6ra12198e-t16.tif (eqn (6)), that is included in eqn (5),

 
image file: c6ra12198e-t17.tif(6)

Using values tabulated for H+, image file: c6ra12198e-t18.tif = −6.28 kcal mol−1 and image file: c6ra12198e-t19.tif = −265.9 kcal mol−1 (ref. 44–50) at 298.15 K, R = 1.987 cal K−1 mol−1, T = 298.15 K and corrected for image file: c6ra12198e-t20.tif (1 atm) to image file: c6ra12198e-t21.tif (1 mol L−1) with the factor RT[thin space (1/6-em)]ln(24.46),51 the eqn (6) reduces to eqn (7),

 
image file: c6ra12198e-t22.tif(7)

After the correction of image file: c6ra12198e-t23.tif for the transfer of H+ from water to DMSO, at 298.15 K, in agreement to IUPAC norms52 the value of image file: c6ra12198e-t24.tif = −268.63 kcal mol−1 could be estimated. This value was introduced in eqn (6) resulting in image file: c6ra12198e-t25.tif (eqn (8)). After that, image file: c6ra12198e-t26.tif was introduced in eqn (5) for the pKa calculus,

 
image file: c6ra12198e-t27.tif(8)

It was also possible to estimate the pKa in gas phase from image file: c6ra12198e-t28.tif,

 
image file: c6ra12198e-t29.tif(9)

Two other thermodynamic cycles were tested, showed in ESI. One of them is the proton exchange method (Scheme SI-2), including a reference acid compound (HRef),44 obtaining the pKa results with eqn (10) and (11). The HRef used was ERYMET and EOSMET for pKa calculations of ERY and EOS, respectively.

 
image file: c6ra12198e-t30.tif(10)
 
image file: c6ra12198e-t31.tif(11)

In the second cycle the neutral and monoanionic species were optimized with 3× explicit water molecules (Scheme SI-3, eqn (SI-1) and (SI-2)).46–50

Results and discussion

Experimental values of pKa in water/DMSO mixtures

The electronic absorption spectra of ERY, ERYMET, EOS and EOSMET as representative systems in mixtures of water/DMSO at 70% DMSO shows that the intensity of the main peak varies as function of pH (Fig. 3).
image file: c6ra12198e-f3.tif
Fig. 3 Sequence of the electronic absorption spectra for: (A) ERY; (B) ERYMET; (C) EOS and (D) EOSMET in water/DMSO mixtures at 70% (v/v) DMSO. pH range of 0 to 8 in buffer or HCl solutions. Dyes 5.00 × 10−6 mol L−1, NaCl 0.10 mol L−1 and 30.0 °C. The arrows point out the variation as the pH increases.

The profile of spectral changes for ERY and EOS (Fig. 4A and C) in the DMSO-rich medium (70% of DMSO) presents a two-phase variation: an expressive increase (1), followed by a hypsochromic shift in higher pH values (2). These two steps correspond to the equilibria associated with pKa1 and pKa2. These variations are significantly different from the spectra obtained in pure water, as reported earlier,15 which show that the dissociation constants are highly sensitive to the local dielectric constant. On the other hand, the esters, which possess just one acid–base unit, pKa-OH, only show the peak growth, a similar profile observed in water.15


image file: c6ra12198e-f4.tif
Fig. 4 pKa values versus DMSO percentage (v/v) in water for: (A) ERY and (B) EOS (C) ERYMET and (D) EOSMET. Dyes 5.00 × 10−6 mol L−1, NaCl 0.10 mol L−1 and 30.0 °C.

Despite these differences, the profile of the absorption intensity at the λmax against pH was similar for ERY and EOS compared to their respective methyl ester derivatives. All xanthenes investigated have the phenolic group connected to the xanthene ring, which belongs to the chromophore region of the molecule. However for the non-esters the presence of the carboxylic substituent connected to the benzene ring exhibits an inefficient resonance conjugation with the chromophoric xanthene group due to the orthogonality between these two molecular moieties. This implies that the configurations, carboxylic or carboxylate, exert only a small influence on the absorption spectra while the phenolic–phenolate equilibrium is the main responsible for the changes.53

Indeed the fact that for ERYMET and EOSMET pKa = pKa-OH, helps the assignment of the pKa value of each corresponding acid–base group for ERY and EOS in water by comparison.15 The same approach in these study was applied for water/DMSO mixtures: pKa,ERYMET ∼ pKa-OH,ERY and pKa,EOSMET ∼ pKa-OH,EOS. These comparisons and the spectral profile as a function of the pH permitted the pKa attributions.15

The mathematical strategy applied to the absorbance spectra as a function of pH was the Henderson–Hasselbalch equation15 that resulted in the values listed in Table 1 for water/DMSO mixtures. As observed in water ERY shows pKa-COOH < pKa-OH as previously reported, while for EOS pKa-COOH > pKa-OH.15

Table 1 Values of pKa for the xanthenes investigated in different water/DMSO mixtures of [dye] = 5.0 × 10−6 mol L−1 and [NaCl] = 0.10 mol L−1, at 30.0 °C. The pKa values are expressed as average value ± standard deviation, resulting from the curve fitting using the Henderson–Hasselbalch equation
DMSO% (v/v) 0a 20 40 60 70
a From Batistela et al. (2011).15b Not measured because the small variation in the range of 20 to 70% DMSO.
ERY pKa-OH 3.79 ± 0.08 3.97 ± 0.02 4.09 ± 0.21 4.41 ± 0.05 4.58 ± 0.10
pKa-COOH 2.35 ± 0.09 3.39 ± 0.04 4.62 ± 0.17 5.55 ± 0.08 5.93 ± 0.08
ERYMET pKa-OH 3.74 ± 0.07 3.89 ± 0.04 3.99 ± 0.05 4.51 ± 0.03 4.64 ± 0.03
EOS pKa-OH 2.02 ± 0.05 2.24 ± 0.08 b b 2.04 ± 0.05
pKa-COOH 3.80 ± 0.06 5.03 ± 0.05 b b 7.07 ± 0.09
EOSMET pKa-OH 2.11 ± 0.03 2.05 ± 0.05 b b 2.36 ± 0.07


In addition, Table 2 shows the “apparent” molar absorptivity at the wavelength of the most prominent absorption band (λmax) of each protolytic species, which for the neutral and monoanionic species corresponds to a mixture of tautomers. These data were obtained from Matrix-K method54 combined to experimental spectrophotometric measurements.

Table 2 Apparent molar absorptivities (ε) of protolytic species NE, MA and DA at the maximum absorption band wavelength (λmax) in water/DMSO, obtained with Matrix-K method
[DMSO]% (v/v) λmax (nm); ε (103 L mol−1 cm−1)
0 20 40 60 70
a From Batistela et al. (2011).15b Not measured.
ERY NE 491; 15.6 493; 15.8 492; 10.5 490; 5.3 494; 3.2
MA 529; 41.2 533; 31.7 535; 84.9 540; 93.6 543; 95.6
DA 527; 96.5a 527; 99.0 530; 93.3 531; 98.5 532; 100.5
ERYMET NE 491; 19.8 492; 20.1 494; 18.8 494; 19.3 493; 20.6
MA 527; 92.8a 531; 95.6 535; 97.6 539; 99.7 541; 101.4
EOS NE 470; 7.5a 470; 7.4 b b 470; 8.3
MA 519; 51.7a 519; 48.9 b b 519; 53.7
DA 515; 96.7a 517; 97.4 b b 517; 95.7
EOSMET NE 470; 16.8 470; 13.1 b b 470; 16.2
MA 517; 97.2a 517; 96.4 b b 517; 113.4


For clarity reasons the data shown in Table 1 for ERY and EOS were depicted from a plot of pKa versus DMSO percentage (Fig. 4). All pKa values increase as the fraction of DMSO increases, showing a linear profile previously observed for several organic acids at different solvent mixtures.21,55,56 The importance of the water molecules in the stabilization of charged structures is well-known. The absence of water in the solvent usually leads the charge separation to an energetically unfavorable condition, leading to low acidity (that corresponds to pKa increases as the amount of DMSO increases).8,19

For NE and MA of the non-ester and ester xanthenes, the apparent molar absorptivity (Table 2) depends on the amount of DMSO. This is related to differences in the molecular solvation between the involved tautomers for each protolytic species.

However as observed, the increase of pKa of the carboxylic group for both dyes is pronounced, while for the phenolic group of ERY it is much less significant, remaining almost unchanged for the phenolic group of EOS. In fact, the influence of water for the carboxylic–carboxylate equilibrium (pKa-COOH), especially for the carboxylate group, is very expressive in ERY. However, it is not relevant for the phenolic–phenolate (pKa-OH) equilibrium for ERY and EOS. The reason is that the charge on the phenolate is naturally delocalized over the xanthene ring. Therefore the relevance of solvation in phenolic–phenolate equilibrium should be minimal. This explains the high influence of water/DMSO composition on pKa: small for pKa-OH and high for pKa-COOH. However this analysis must be much more complex due the involvement of the tautomers. For NE (NEQ, NEL and NEZ) and MA (MAC and MAF), which exhibits strong effect on the pKa, the solvation effects influences the tautomeric equilibrium.

As result for ERY at 0 to 35% of DMSO (v/v), Fig. 4A shows pKa-OH > pKa-COOH, where pKa-OH = pKa2 implies in a predominance of the MAC form for the monoanionic species, in equilibrium with DA. For situations in which the fraction of DMSO is higher than 35% in the mixture, a pKa inversion is verified for ERY (Fig. 4A), which leads to pKa-COOH = pKa2, involving the equilibrium between MAF and DA (Fig. 1). This occurs because the equilibrium of the monoanionic species is displaced (MAC → MAF) as the dielectric constant of the solvent is reduced (as the presence of DMSO increases). Similar results were observed for other xanthene dyes in water mixtures with organic solvents.19,53,57 On the other hand, EOS shows pKa-OH < pKa-COOH in all samples independent of DMSO presence (Fig. 4B) due the influence of the four bromine substituents as already mentioned, which theoretically favors the stabilization of the monoanionic MAF tautomer, leading to pKa2 = pKa-COOH and consequently pKa1 = pKa-OH. However, the involvement of the monoanionic tautomer form of MAC or MAF and the neutral tautomers NEQ or NEL (and maybe NEZ) on pKa1, is not so easy to be defined for ERY and EOS. Therefore a quantitative analysis was performed later.

In Fig. 4 it is included the pKa values for the methyl esters. As demonstrated the profile of the pKa-OH of ERY and EOS as a function of DMSO percentage is identical to the profile observed for ERYMET (Fig. 4C) and EOSMET (Fig. 4D), respectively, which reinforces the correctness of the pKa attribution.

Structural description and computational analysis of stability

The application of the two selected levels of theory, B3LYP/DGDZVP and B3LYP/6-311++G(d,p), resulted in structures with identical conformation with dihedral angles in agreement with the literature.9,13,58,59 For all optimized structures, except for NEL, the averaged dihedral angle between the xanthene and the benzene rings (C13–C9–C1′–C2′, atom numeration in Fig. 1) was about 91°, while between the carboxylic group and the benzene ring (C1′–C2′–C7′–O8′) it was of only 1°. The structures of NEQ and NEL of ERY and the dihedral angles were included in the ESI, Fig. SI-1 and Table SI-1. For NEL the lactone ring has the benzene ring orientation shifted, leading the dihedral angle C13–C9–C1′–C2′ to 115°.13,59 The Cartesian planes of each optimized species of ERY, ERYMET, EOS and EOSMET are also included in the ESI, Table SI-1.

The Molecular Electrostatic Potential maps (MEP) for neutral NEQ and NEL and the monoanionic MAC and MAF in water are depicted in Fig. 5, with a half of the dipole moment vector. The dipole moment of each form in water, DMSO and vacuum obtained using B3LYP/6-311++G(d,p) and SMD-Coulomb is listed in Table SI-3 in ESI.


image file: c6ra12198e-f5.tif
Fig. 5 Molecular Electrostatic Potential maps (MEP) for tautomers of ERY and EOS obtained from B3LYP/DGDZVP and SMD-Coulomb in water, keeping the isovalue of the density at 0.0004 e Å−3. The arrows represent a half of the values of the dipole moment vector (μ) pointed to a positive region.

As illustrated in Fig. 5 the MEP of NEQ shows regions with higher negative density (strong red color) than NEL, which means that NEQ presents high polarity while NEL exhibits a more homogeneous charge distribution, which agrees with the difference observed for the dipole moments (μNEQ > μNEL) in water: for ERY, μNEQ = 19.59 and μNEL = 9.46 debye; for EOS, μNEQ = 18.47 and μNEL = 9.02 debye. These results confirm and justify the higher stabilization of NEL in environments with low dielectric constants such as in DMSO, and the opposite effect for NEQ in water.

The MEP obtained for MAC shows a high negative charge density on the carboxylic group while MAF exhibits a homogeneous charge distribution (Fig. 5), suggesting that μMAC > μMAF which is confirmed by the data in water: for ERY μMAC = 20.82 and μMAF = 15.85 debye; for EOS μMAC = 19.46 and μMAF = 17.40 debye. This effect in water is much more evident than in DMSO or vacuum (Table SI-3).

These data explain the higher stabilization of NEQ and MAC in water and NEL and MAF in solvents with low dielectric constants, as previously observed.19,20,57 The carboxylate group of MAC exerts strong interactions with water by dipole–dipole affinity and hydrogen bonding, while for MAF its homogeneous charge distribution leads to low charge density in the phenolate group, resulting in weak interactions with water.22,60

Experimental tautomeric equilibrium constants and its influence on pKa

For molar fraction (χ) calculations, the absorption intensities were taken at the maxima wavelength (λmax) instead of one analytical wavelength due to solvatochromic effects (Table 2). The results of χ for each tautomer and the tautomeric equilibrium constants (KQ-L and KM) are listed in Table 3.
Table 3 Molar fractions (χ) of tautomers NEL–NEQ (neutral species) and MAC–MAF (monoanionic species) of ERY and EOS and their tautomeric equilibrium constants. Experimental results in water–DMSO mixtures at 30.0 °C
DMSO% (v/v) ERY EOS
0 20 40 60 70 0 20 70
χNEQ 0.79 0.79 0.56 0.28 0.16 0.45 0.56 0.51
χNEL 0.21 0.21 0.44 0.72 0.84 0.55 0.44 0.49
KQ-L = χNEL/χNEQ 0.27 0.27 0.79 2.64 5.51 1.24 0.77 0.96
χMAF 0.29 0.15 0.84 0.84 0.93 0.43 0.43 0.39
χMAC 0.71 0.85 0.16 0.16 0.07 0.57 0.57 0.61
KM = χMAF/χMAC 0.41 0.18 5.21 5.17 12.89 0.75 0.75 0.63


The results in Tables 2 and 3 permit the quantitative analysis:

ERY/water. For DMSO range (0–35%), the molar absorptivity values ε (Table 2) of the neutral form of ERY are only ∼27% lower than the ERYMET (MET-NE), suggesting small participation of the colorless lactone NEL tautomer and consequent prevalence of the quinoid NEQ for ERY. For monoanionic species in water, the absorptivity (Table 2) of ERY is less than half of the phenolate-type structure MET-MA of ERYMET. Consequently, there is a significant presence of both MAF and MAC. In fact, results in Table 3 show that water favors not only the neutral NEQ form (KQ-L < 1 with χNEQ = 0.79 in water) but also the monoanionic MAC (KM < 1 with χMAC = 0.71 in water). Both NEQ and MAC tautomers (carboxylate-types) show higher molecular polarity than, respectively, NEL and MAF (phenolate-type structures), as demonstrated by MEPs and dipole computational results. Therefore water molecules preferentially stabilize the formers by dipole interactions allied to hydrogen bonds rather than phenolic–phenolate compounds.22,60 Thus, for ERY in water, pKa1 is proposed NEQ ⇌ MAC, and for pKa2 MAC ⇌ DA, with pKa-COOH < pKa-OH (Fig. 1).
ERY/DMSO. As observed at above 35% of DMSO for ERY, data in Table 2 show an accentuated absorptivity decrease for the neutral form and a substantial increase for the monoanionic form. The low ε values for the neutral species point out the equilibrium displacement in DMSO to NEL (colorless). Indeed the ε values at ∼540 nm of the monoanionic form of ERY exhibit similarity with ERYMET (MET-MA) that reinforce the MAF prevalence for ERY above 35% of DMSO (both MET-MA and MAF are phenolate-type structure). Actually, Table 3 data confirm that DMSO favors the NEL (KQ-L > 1 with χNEL = 0.84 at 70% DMSO) and the MAF (KM > 1 with χMAF = 0.93 at 70% DMSO) forms, both less polar than NEQ and MAC (carboxylate-type structures). This result permits to associate the equilibria NEL ⇌ MAF as pKa1 and MAF ⇌ DA as pKa2, that correspond to pKa-OH < pKa-COOH, for ERY in DMSO-rich media. However an unsolved problem remained: would it be possible the direct transformation of NEL in MAF? This problem is discussed below.
EOS/water–DMSO. In Table 3 the value KQ–L = 1.24 found in water at 30 °C agrees with the value at 25 °C reported in the literature (1.3).11 Therefore in water, beside NEL (χNEL = 0.55), there is a significant amount of co-existing NEQ (χNEQ = 0.45). Despite this, for EOS where pKa-OH < pKa-COOH, the same proposition as ERY in DMSO would be expected NEL ⇌ MAF (pKa1) and MAF ⇌ DA (pKa2). The MAF participation in pKa2 is fully justified by the pKa2 = pKa-COOH based on structural analysis of MAF ⇌ DA equilibrium (structures in Fig. 1).

However, while the monoanionic form of ERY exhibited similar absorptivity to ERYMET as previously mentioned, for EOS the monoanionic form presents absorptivity around 50% lower than the value of the monoanionic EOSMET (MET-MA, phenolate-type), which presents a structure similar to MAF.

Thus, this result indicates not negligible involvement of MAC in pKa1. In fact, KM = 0.75 from Table 3 implies in MAC preference (χMAC = 0.57) with still high amounts of MAF (χMAF = 0.43).

Anyway, taking the experimental preferential structures, the resulting equilibrium for pKa1 is NEL ⇌ MAC, while for pKa2 the structural analysis pointed out unequivocally MAF ⇌ DA, which is not consistent for a pH region between pKa1 and pKa2. Similar as in water, the same pKa inversion is observed for EOS in water/DMSO mixtures where the relative amount of each tautomer underwent small changes (χNEL = 0.49 and χNEQ = 0.51; χMAC = 0.61 and χMAF = 0.39 in 70% DMSO). However, it is possible to consider NEQ ⇌ MAF as pKa1, which implies in a phenolic–phenolate equilibrium once the amount of NEQ is considerably higher in both water and DMSO.

NEL → MAF conversion. NEL prevails for ERY in DMSO-rich media (Table 3) and presents high molar fraction for EOS in water and in DMSO (χNELχNEQ, Table 4). However, it is impossible to transform NEL to MAF directly, which is a problem for pKa inversion: pKa2 should be equal to pKa-COOH involving necessarily MAF. For this process two hypotheses can be presented:
Table 4 KT values for ERY and EOS in vacuum, water and DMSO obtained with IEF-PCM and SMD solvent models combined with the UFF, Pauling and SMD-Coulomb atomic radii set using B3LYP/DGDZVP and B3LYP/6-311++G(d,p) levels of theory at 298.15 K
  Erythrosine Eosin
KQ-L KM (104) KQ-L KM (104)
a Not Calculated.b Experimental values at 303.15 K.
B3LYP/DGDZVP Water IEF-PCM/UFF 0.217 2198.028 1.717 1415.077
IEF-PCM/Pauling 0.0031 15.005 a a
SMD/Coulomb 0.046 0.420 0.0590 5.086
DMSO IEF-PCM/UFF 0.300 8734.296 1.417 3893.333
IEF-PCM/Pauling 0.0049 64.584 a a
SMD/Coulomb 1.169 28[thin space (1/6-em)]973.357 4.353 119[thin space (1/6-em)]745.234
B3LYP/6-311++G(d,p) Water IEF-PCM/UFF 0.0263 121.683 0.199 62.970
IEF-PCM/Pauling 0.0003 1.428 a a
SMD/Coulomb 0.0047 0.0054 0.0056 0.4501
DMSO IEF-PCM/UFF 0.0458 121.207 0.291 121.065
IEF-PCM/Pauling 0.0006 2.687 a a
SMD/Coulomb 0.199 564.866 0.615 1216.845
Exp.b (water) 0.27 0.41 1.24 0.77
Exp.b (70% DMSO) 5.51 12.89 1.16 0.63



(a) NEL → MAF problem. The NEL form can be converted to NEQ, which is an unstable intermediate in this situation, that is immediately consumed by deprotonation of O15 resulting in MAF, {NEQ →→ MAF} with pKa1 = pKa-OH. In principle the NEL → NEQ conversion seems to be inconsistent in solvents with low dielectric constant such as DMSO. However independent of the prevalence of NEL or NEQ the equilibrium NEL ⇌ NEQ occurs and the protolytic equilibrium is NEQ ⇌ MAF with pKa1 = pKa-OH (where for ERY in 70% of DMSO, χMAF = 0.93 while χMAFχMAC for EOS in the range of 0 to 70% of DMSO). Therefore the protolytic equilibrium related to pKa2 involves MAF (with DA, pKa2 = pKa-COOH).
(b) NEL. NEL undergoes the simultaneous deprotonation of O16 and the ring rupture of the lactone due to resonance reorganization, leading to MAC as an unstable intermediate in DMSO, which is consumed by hydrogen transfer from O15 to O9′, resulting in MAF {NEL → MAC (unstable in DMSO) →→ MAF}. However the step MAC →→ MAF should be very fast since it occurs by hydrogen transfer, which does not explain the χMAC = 0.57 higher than the MAF in EOS (Table 4). This second hypothesis is not convincing.

Indeed, despite the slight preference to MAC in water, the KM for EOS (0.75) is higher than the value for ERY (0.41), which means that the amount of MAF for EOS (χMAF = 0.43) is higher than MAF for ERY (χMAF = 0.29). This difference in MAF stabilization seems to favor the pKa inversion for EOS even in water. In summary it is not only the NEL prevalence that commands the pKa inversion but also the tautomeric equilibrium between MAC and MAF.

The pKa inversion is consistent with the action of organic solvents on phenolic and carboxylic groups, where the inversion is associated to the solvation capability of these groups against their respective conjugated bases.22,60 Similar effects were observed in other studies involving xanthene dyes in mixtures of water/organic solvents.8,19,20,53,57

Evaluation of the tautomeric equilibrium using computational methods of electronic structure

During our previous computational studies on structure optimization in vacuum and water, using only the IEF-PCM continuous solvation method, the NEZ form always converged to the lactone NEL. To investigate computationally the NEZ structure, the following strategies were applied: (i) the length between the atoms O8′ and C9 (Fig. 1) was fixed as 2.5 Å (averaged value for all other structures), which prevents the cyclization to NEL; (ii) the addiction of 3× or 6× explicit water molecules within the IEF-PCM model, however without fixing the O8′–C9 length.

Given the results of the optimized structures NEZ, NEQ and NEL, the tautomeric equilibrium NEZ ⇌ NEQ and NEZ ⇌ NEL was firstly analyzed. The calculation of the tautomeric equilibria in water and DMSO using only IEF-PCM/UFF and SMD/Coulomb continuous solvation models with B3LYP/6-311++G(d,p) resulted in tautomeric equilibrium constants (KT) ranging from 5.19 × 107 in water to 5.0 × 109 in DMSO, favoring the formation of NEQ and NEL. Including 3× explicit water molecules the NEZ structure also converged to NEL during the optimization without fixing the O8′–C9 length. However with 6× explicit water molecules the NEZ form was optimized as a real minimum of energy. Thus, the NEL and NEQ tautomers were optimized with 6× explicit water molecules and, after single points calculations at B3LYP/6-311++G(d,p) with SMD/Coulomb, the following KT results were obtained: to ERY the NEZ ⇌ NEQ (KZ-Q = 3.93 × 104) and NEZ ⇌ NEL (KZ-L = 1.76 × 103) confirming a small participation of NEZ at the neutral equilibria. The same behavior could be seen with EOS, with NEZ ⇌ NEQ (KZ-Q = 3.70 × 105) and NEZ ⇌ NEL (KZ-L = 3.47 × 103). These theoretical results are in agreement with the literature, that affirms the absence of expressive amounts of NEZ in these solutions.8,16,21,25,61 The quantitative comparison of the equilibrium constants via computational method with the experimental values is impracticable due the differences in temperature and dependence with the used theory level, which give considerable errors, especially for bulky substituents such as iodine.44,62 Despite this, the results permit to evaluate the tendencies of the equilibrium by comparison between the tautomers, where errors should be minimized by compensation.

The data of tautomerization constant for ERY in water for the most relevant neutral forms (NEQ ⇌ NEL) and monoanionic (MAC ⇌ MAF) species, calculated using the functional B3LYP and M06-2X are shown in Table SI-4, ESI. The M06-2X/DGDZVP and M06/LAN2DZ(d,p) levels of theory combined with IEF-PCM or SMD solvation methods, simulating the solvation in water, in combination with the atomic radii sets UFF, Pauling or SMD-Coulomb furnished a KQ-L ≫ 1 for the neutral species, and KM ≫ 1 for the monoanionic. These values are quite different of the experimental ones (KQ-L = 0.27 and KM = 0.41, Table 4).

The results using the B3LYP hybrid functional for NEQ ⇌ NEL and MAC ⇌ MAF in Tables 4 (short) and SI-4 (complete) gave a better description of the qualitative behavior of the tautomeric equilibria, being closer to the experimental ones.

ERY/water. For ERY in water, using B3LYP/DGDZVP and B3LYP/6-311++G(d,p) with all solvent models and radii sets, Table 4, it was observed the predominance of NEQ (KQ-L < 1), also with 6× explicit water molecules (KQ-L = 0.045), which agrees with the experimental finds (χNEQ = 0.79, Table 3). The use of the basis set DGDZVP with the IEF-PCM/UFF (KQ-L = 0.22) resulted in values close to the experimental ones (KQ-L,exp = 0.27). However this methodology for the anionic species in water led to very high KM values (magnitude of 104) suggesting a much greater stability to MAF than for MAC in disagreement with the experimental finding, where χMAC is 0.71 (Table 3). Possibly this disagreement is related to basis set limitations, once it is not possible to add diffuse function to iodine or even other atoms using DGDZVP.

The addition of diffuse functions would permit a better description by the inclusion of increased Gaussian functions in the valence shell.63,64 For example, the use of the basis set 6-311++G(d,p) improved somewhat the agreement between the predicted KM and KQ-L and the experimental values (Table 4). Iodine atoms, however, does not receive diffuse functions when this triple-zeta basis is added using the extrabasis keyword. This is one possible reason why KM and KQ-L still remain far from experimental results.

ERY/DMSO. For the neutral form of ERY in DMSO, only DGDZVP with SMD/Coulomb properly described the experimental equilibrium constant NEQ ⇌ NEL, KQ-L > 1 that correctly means NEL prevalence. For anionic species both levels of theory, B3LYP/DGDZVP and B3LYP/6-311++G(d,p), properly described the experimental findings with solvation models, whose high values of KM confirm MAF as the main tautomer in DMSO. Thus, both theoretical levels pointed out for the involvement of the NEL and MAF when pKa inversion occurs, as in experiments involving ERY at high proportions of DMSO.
EOS/water–DMSO. For EOS in water (Table 4), only the DGDZVP basis set with the IEF-PCM/UFF described the equilibrium of the neutral species with a small shift to NEL, with KQ-L quite close to experimental data. SMD/Coulomb pointed out NEQ as favored, even with 6× water molecules (KQ-L = 0.0094) agreeing with our previous proposition.15 However, this does not agree with our actual experimental findings (χNEQ = 0.45 in water, Table 3).

The NEL participation reinforces the pre-equilibrium NEQ ⇌ NEL shifted to NEQ, where this tautomer is immediately consumed in the equilibrium with MAF, leading to pKa1 = pKa-OH with pKa inversion (Hypothesis for NEL → MAF). Anyway, it is clear that for monoanionic species the computational calculation (Table 5) points out that MAF is favored even in water, against the experimental results (χMAC ∼ 0.6). These tendencies were observed with both basis set (DGDZVP and 6-311++G(d,p)) in DMSO, favoring the formation of MAF.

Table 5 Computational pKa calculated with the weighted average at 298.15 K, considering the experimental molar fraction of each tautomer in water and 70% DMSO at 303.15 K, for some levels of theory and solvation models/radii sets. The absolute errors related to experimental pKa values (Table 1) are given in parentheses
  Water Water DMSO
IEF-PCM/UFF IEF-PCM/Paul. SMD/Coul. SMD/Coul.
a Not calculated.
Erythrosin B and ERYMET B3LYP/DGDZVP ERYMET pKa-OH −2.29 (6.03) −0.91 (−4.65) 1.86 (1.88) 1.18 (3.46)
ERY pKa1 0.60 (1.75) 0.55 (1.80) 1.04 (1.31) 2.66 (1.92)
pKa2 1.45 (3.13) 1.25 (2.54) 1.78 (2.01) 5.10 (0.83)
B3LYP/6-311++G(d,p) ERYMET pKa-OH 0.20 (3.54) 1.51 (2.23) 2.88 (0.86) 3.10 (1.54)
ERY pKa1 1.11 (1.24) 1.07 (1.28) 1.86 (0.49) 2.84 (1.74)
pKa2 1.99 (1.80) 1.89 (1.90) 2,24 (1.55) 5.50 (0.43)
M06-2X/DGDZVP ERY pKa1 −1.72 (4.07) −1.95 (4,30) −1.45 (3.80) a
pKa2 2.76 (1.03) 2.61 (1.18) 3.12 (0.67) a
M06-2X/LANL2DZ(d,p) ERY pKa1 1.41 (0.94) 1.07 (1.28) 1.59 (0.76) a
pKa2 1.34 (2.45) 0.98 (2.81) 1.60 (2.19) a
B3LYP/DGDZVP (proton exchange method) ERY pKa1 a a 3.08 (−0.73) 4.78 (−0.20)
pKa2 a a 4.11 (−0.32) 7.52 (−1.59)
B3LYP/6-311++G(d,p) (proton exchange method) ERY pKa1 a a 2.98 (−0.63) 3.64 (0.94)
pKa2 a a 3.36 (0.43) 6.96 (−1.03)
Eosin Y and EOSMET B3LYP/DGDZVP EOSMET pKa-OH a a −1.06 (3.17) −1.20 (3.56)
EOS pKa1 a a 0.71 (1.31) 14.50 (−12.46)
pKa2 a a 1.47 (2.33) −15.27 (−22.34)
B3LYP/6-311++G(d,p) EOSMET pKa-OH a a 1.85 (0.26) 1.41 (0.95)
EOS pKa1 a a 0.84 (1.18) 1.81 (0.23)
pKa2 a a 2.14 (1.66) 3.28 (3.79)
B3LYP/DGDZVP (proton exchange method) EOS pKa1 a a 2.98 (−0.96) 16.97 (−14.93)
pKa2 a a 1.87 (1.93) −13.06 (20.13)
B3LYP/6-311++G(d,p) (proton exchange method) EOS pKa1 a a 1.67 (0.35) 3.25 (−1.21)
pKa2 a a 2.97 (0.83) 4.45 (2.62)


Although there are some mistakes concerning the description of monoanionic species in water, the application of B3LYP/6-311++G(d,p) and B3LYP/DGDZVP furnished information about the protolytic system for ERY and EOS, especially when the basis set DGDZVP was used combined with IEF-PCM/UFF and SMD/Coulomb to describe neutral structures. In general the functional B3LYP furnished more adequate results than M06-2X in the study of KT. The inconsistence in EOS with the tautomeric equilibrium constants, where the experimental results show MAC as preferential while the computational results pointed out to MAF is discussed in the next section, where the pKa is calculated by computational methodologies.

pKa predicted by molecular modeling and analysis of the influence of tautomers

The computational calculation of pKa applied in ERY and EOS system may be useful for understanding the participation of each neutral and monoanionic tautomer in protolytic equilibria. The computational pKa for all possible protolytic equilibria considering each tautomer were calculated using the eqn (5) to (11) and the thermodynamic cycles of Schemes SI-1 and SI-2. The full results are shown in ESI, Tables SI-4 and SI-8, for all tested levels of theory and solvation models. However the pKa depends on all tautomeric species that constitute its specific protolytic form, therefore for accounting the contribution of all tautomers it is necessary taking their molar fraction. This was done by calculating the weighted average, using the tautomer's experimental molar fractions (Table 3) and the computational pKa of each possible equilibrium (pKa1 and pKa2), according to the eqn (12) and (13). The results obtained with all the calculation methods are shown in Table 5, along with the absolute errors in parenthesis (error = pKa,exp(303 K) − pKa,comp(298 K)).
 
image file: c6ra12198e-t32.tif(12)
 
image file: c6ra12198e-t33.tif(13)

Certainly the temperature difference between the experimental and theoretical data lead to errors associated with all pKa results, but this was required because the values of image file: c6ra12198e-t34.tif (eqn (6)) in water and DMSO only are well established at 298.15 K, while experimental studies were conducted at 303.15 K. Once the temperatures are close, we do not expect large differences.

Among all levels of theory and solvation models, the best results with smaller errors were obtained with B3LYP/6-311++G(d,p) and SMD/coulomb. Probably the triple zeta 6-311G bases set and the inclusion of two diffusion functions helped thermodynamic description and improved results compared to DGDZVP. Noting that the largest errors usually occur in pKa2 values, it is clear that the improvement of the results depends on a good description of the anionic species, which explains the good efficiency of 6-311++G(d,p). This effect has been demonstrated in the KT study, whereas the KM values were lower at 6-311++G(d,p) than DGDZVP, approaching the experimental value (KM < 1, Table 4).

The comparison between the B3LYP functional and M06-2X, using the same basis set of DGDZVP showed lower errors for B3LYP. The M06-2X/LANL2DZ(d,p) method provided good pKa results, but the calculation time was much greater than B3LYP with DGDZVP or 6-311 ++ G (d, p) (∼8 times), and provide poor KT results, making its usage impracticable in the entire system.

In relation to the solvation methods, the better description of SMD/Coulomb over other solvation models and radii sets should be related to its large parameterization, including with the B3LYP functional.65 Besides it, SMD considers the electrostatic contribution of the bulk solution as well as the first solvation layer in the calculation of image file: c6ra12198e-t35.tif, which improves the pKa results. Such as observed in KT determinations, the Coulomb radii seems to be the main factor to the best performance of SMD, once the inclusion of UFF and Pauling did not exhibit improvements compared to IEF-PCM (ESI, Tables SI-6 and SI-7). Facing such results, IEF-PCM model was not used for the subsequent cases.

The results were still better using the proton exchange method because of the inclusion of a HRef (EOSMET or ERYMET) in the thermodynamic cycle, with less than 1 pKa unit deviation of experimental results in water. It allows the conservation of charges in both sides of equation and cancelations of some errors generated by continuum solvation methods.44 The complete results of all possible protolytic equilibrium, considering each tautomer, are in Table 6, obtained with B3LYP/6-311++G(d,p) and SMD/Coulomb through the proton exchange method. Probably, the values in Table 6 are close to the real pKa of each possible protolytic equilibrium, which contribute to the experimental pKa1 and pKa2 values. Thus, these results allied to the experimental molar fraction (Table 3) could help to understand the protolytic equilibrium and the pKa inversion of EOS and ERY in DMSO.

Table 6 pKa values involving tautomers of ERY and EOS obtained by the proton exchange method with B3LYP/6-311++G(d,p) and SMD/Coulomb in water and DMSO, at 298.15 K
  Erythrosin B Eosin Y
Water DMSO Water DMSO
B3LYP/6-311++G(d,p) pKa1 NEQ ⇌ MAC COOH 6.42 11.29 6.16 10.46
NEQ ⇌ MAF OH 6.02 5.63 2.96 3.30
NEL ⇌ MAC OH 5.19 11.47 3.94 9.71
NEL ⇌ MAF OH 4.80 5.81 0.73 2.55
pKa2 MAC ⇌ DA OH 6.62 8.65 4.55 6.10
MAF ⇌ DA COOH 7.00 14.32 7.76 13.26
Experimental pKa1-COOH = 2.35 ± 0.09 *pKa1-OH = 4.58 ± 0.10 pKa1-OH = 2.02 ± 0.05 *pKa1-OH = 2.04 ± 0.05
pKa2-OH = 3.79 ± 0.09 *pKa2-COOH = 5.93 ± 0.08 pKa2-COOH = 3.80 ± 0.06 *pKa2-COOH = 7.07 ± 0.09


ERY in water. From the previous discussions the pKa of ERY is investigated for two protolytic equilibrium involving NEQ and MAC as the main structures in water solution: NEQ ⇌ MAC (pKa-COOH) and MAC ⇌ DA (pKa-OH), as highlighted in Table 6. For pKa2 = pKa-OH the structural molecular analysis unequivocally demands the MAC involvement and, as a consequence, the pKa1 relates to carboxylic–carboxylate pKa-COOH with MAC formation (Scheme in Fig. 1).

The implicit–explicit method of pKa calculations (Scheme SI-3), including three explicit water molecules and the SMD-Coulomb solvation model, with the B3LYP/DGDZVP method, resulted a similar value for NEQ ⇌ MAC (pKa1-COOH = 6.6), but a discrepant result for MAC ⇌ DA (pKa2-OH = 4.4) of ERY. For EOS, the pKa1-OH = −45.6 was not suitable for NEQ ⇌ MAF and for MAF ⇌ DA the pKa2-COOH = 4.4. Only these two equilibria for ERY and EOS were performed with this solvation method, but the results do not indicate a real improvement in relation to the implicit solvation methods. Moreover, the explicit water molecules enhanced a lot of the time machine to continue the study with it.

ERY in DMSO. For ERY in DMSO the focused equilibrium are NEL ⇌ MAF, pKa1 (pKa-OH) and MAF ⇌ DA, pKa2 (pKa-COOH) that corresponds to pKa-OH < pKa-COOH (Table 6, highlighted), according with molar fraction observed in Table 3. It is worth to remember that the direct transformation NEL to MAF is structurally impracticable, as already mentioned. Despite it, the computational calculations permits evaluation of NEL ⇌ MAF once we are interested only in the pKa value of acid–basic equilibrium between these most representative tautomers.

In vacuum (Table SI-6) an expressive pKa elevation is noted for all equilibria of ERY and ERYMET once ions stabilization is not favored, leading to low acidity and consequently high pKa.66 This tendency is confirmed experimentally and theoretically by the results of ERY in 70% DMSO, which pKa are higher than in water.

EOS in water–DMSO. The involvement of MAF leading to pKa2 associated to MAF ⇌ DA, pKa-COOH, is evident for systems where pKa-OH < pKa-COOH. However, doubts exist concerning the pKa1 (pKa-OH). From Table 3, NEL and NEQ are in similar amounts in water. But in Table 6, the pKa-OH = 2.96 for NEQ ⇌ MAF is bigger than pKa-OH = 0.73 for NEL ⇌ MAF, indicating a major contribution of NEQ to the experimental pKa1 = 2.02 value of EOS. Also again, it is worth considering the steps hypotheses of NEL → NEQ →→ MAF (as previously discussed), which furnished pKa-OH < pKa-COOH (as the experimental findings). This same analyses is possible in DMSO, but with less confidence due to higher errors obtained in Table 5.

Despite prevalence of MAC of EOS in all water/DMSO mixtures (χMAC ∼ 0.6, Table 3), once again the proposition of MAC as the reason for pKa inversion is not correct because of structural concerns (pKa2-COOH is only possible with MAF). Furthermore, the computational pKa2 values for MAC ⇌ DA in water and DMSO are considerable smaller than MAF ⇌ DA (Table 6). Then, even the small amount of MAF (χMAF ∼ 0.40) justify the experimental findings of pKa2 of EOS.

The comparative computational analysis on the acidity of –OH substituent in water between ERY and EOS shows that the pKa-OH of EOS is lower than the value of ERY, which agreed with the experiments (Tables 1 and 5), while for pKa-COOH, there is not this tendency. Similar results were also obtained with ERYMET and EOSMET (pKa-OH). The higher –OH acidity of EOS and EOSMET than ERY and ERYMET is attributed to the higher bromine electronegativity than iodine atoms.51,67

Natural bond orbitals analysis: electronic delocalization energy

Beyond charge density distribution and hydrogen bonding effects, other parameters can affect the molecule's stability in equilibrium. In the present case, the electronic delocalization energy (Edel) is included between bonding and antibonding orbitals, which depend on the solvation process. By applying Natural Bonding Orbitals (NBO) analysis, this energy can be calculated for each solvent.68 If only this effect is considered, high Edel means high resonance and better stabilization of the compound in this environment by the solvent molecule's solvation.
MAF of ERY and EOS. The Edel calculated for MAF of ERY (Table 7), despite being very high, did not show significant differences in DMSO and in water. For EOS the MAF values are lower than for ERY and once again, no Edel difference was detected between DMSO and water as solvent. For MAF the small Edel changes with the solvent are due to the intrinsic charge distribution in its structure, which is homogeneously distributed over the entire xanthene ring.
Table 7 Electronic delocalization energy (Edel) obtained from NBO using B3LYP/DGDZVP with SMD-Coulomb in water and DMSO
  Edel ERY (kcal mol−1) Edel EOS (kcal mol−1)
Water DMSO Water DMSO
MAC 23[thin space (1/6-em)]534.3 40[thin space (1/6-em)]853.9 34[thin space (1/6-em)]064.0 19[thin space (1/6-em)]819.7
MAF 46[thin space (1/6-em)]329.4 46[thin space (1/6-em)]510.5 26[thin space (1/6-em)]540.8 26[thin space (1/6-em)]656.5


MAC of ERY. From water to DMSO the Edel increased by +17[thin space (1/6-em)]320 kcal mol−1 for MAC of ERY, while for MAF of ERY this value increased only by +181 kcal mol−1. The MAC lower Edel than MAF in water incorrectly suggests preference of MAF, however the experimental results demonstrated the opposite (χMAC = 0.71 in water, Table 3). Therefore, in water the stability of the monoanionic tautomer is not driven by the electronic delocalization energy, and in some ways the found inconsistence reflects the major influence of the dipole and hydrogen bonding interactions on MAC stability. In DMSO the Edel for MAF higher than MAC justifies the high amount of MAF in the equilibrium as the experimental findings in 70% of DMSO (χMAF = 0.93 while χMAC = 0.07, Table 3).
EOS. For MAC of EOS the difference from water to DMSO is −14[thin space (1/6-em)]244 kcal mol−1, while for MAF, it is +116 kcal mol−1. Therefore the delocalization energy of MAC/EOS diminishes from water to DMSO, showing the low relevancy of this parameter to MAC stabilization in DMSO, once experimentally χMAC is slightly higher than χMAF independently of DMSO percentage in water.

Natural bond orbitals analysis: orbital interactions

One important factor that contributes to the presence of MAF of ERY in water is the higher delocalization resonance (high Edel) than EOS and the overlap among σ bonding orbitals (donors) of C–I bonding with π* antibonding orbitals (acceptors) of C–C bonding of the xanthene. From energy calculation utilizing second-order perturbation theory were obtained the energies of hyperconjugative interaction corresponding to the orbital overlapping.68,69 These values can be nominated as electronic stabilization energy (Estab), listed in Table SI-9 of ESI. for the most significant interactions involving σ of C-X (with X = Br or X = I) and π* of C–C orbitals, as exemplified in Fig. 6A between σ of C2–X20 and π* orbitals of C1–C13 and of C3–C4. The results obtained for the most significant interactions varied from 4.42 to 5.97 kcal mol−1 for EOS and from 5.77 to 7.24 for ERY. As higher the Estab, greater is the overlap of orbitals, which allows an extensive electronic delocalization.68,70 As observed for ERY the values of Estab are higher than for EOS.
image file: c6ra12198e-f6.tif
Fig. 6 Schematic illustration of the orbital interaction in ERY (X = I) and EOS (X = Br): (A) σ bonding orbital of C2–X20 bond with the antibonding π* orbitals of C1–C13 and of C3–C4 at MAF structure; (B) non-bonding (n) of the O8′ of carboxylic group with antibonding π* orbital of C9–C12 for MAC structure. The atom numeration follows the IUPAC norms.

From NBO calculation the polarization suffered in the C–I bond of ERY and C–Br bond of EOS were also analyzed in terms of perceptual localization of the bond electron pair on each atom (ESI, Table SI-10). For EOS the four C–Br bonds show the average polarization values of: C–Br as 47.8–52.2% for MAC and C–Br as 47.0–53.0% for MAF. So the C–Br bonds are negatively polarized on the bromine atom leaving the carbon with positive density, as expected, because bromine (2.96) presents higher Pauling electronegativity than the carbon (2.55).51 However for ERY, despite the high electronegativity of iodine (2.66), which is slightly higher than the carbon, the averaged values were: C–I as 55.3–44.7% for MAC and 54.2–45.8% for MAF. Which means for C–I bond the negative charge is displaced to carbon atoms instead of the iodine probably due to atomic radius (r) difference which is rI > rBr. The large σ orbital of C–I exhibits high overlapping toward π* of C–C that contributes to higher Estab of ERY than EOS.

The Fig. 6B illustrates interactions among two non-bonding electron pairs – “n” lone pair of O8′ – and antibonding orbitals of the xanthene ring, founded in NBO results. This will be discussed ahead.

Evaluation of the computational approach better suited to describe the electronic absorption spectra

Some levels of theory were tested to obtain the better correlation between TD-DFT and experimental spectra, including B3LYP, CAM-B3LYP and M06-2X, cited as good functionals for UV spectra of benzoic acid derivatives71 (Table 8 and SI-11). However apparently the results are very dependent of the basis set, whose use is limited by the presence of iodine and bromine atoms. The better correlations were found using B3LYP/6-311++G(d,p) and SMD/Coulomb, as showed in Table 8 with the λmax for the most representative HOMO → LUMO transition (with the highest transition coefficient) and the respective harmonic oscillator strength (f) for each species studied. For all theory levels, the theoretical λmax were lower than the experimental values, whose problem can occur in TD-DFT methods for evaluation of excitation energies.72,73 The neutral ERYMET-NE showed λmax shift of ∼30 nm (Δν ∼ 0.4 s−1), while the monoanionic ERYMET-MA and dianionic DA are shifted about ∼65 nm (Δν ∼ 0.9 s−1) comparing with experimental values (Table 2 and SI-11). This higher deviation for anionic species probably is caused by the impossibility to add diffuse function for all atoms and also the polarization functions that are not sufficient to describe correctly chemical bonds involving large atoms as bromine and iodine.74
Table 8 HOMO → LUMO transitions, wavelength of the maximum absorption peak (λmax) and the oscillator strength (f) for protolytic and tautomeric forms of ERY, ERYMET, EOS and EOSMET in water and DMSO obtained from B3LYP/6-311++G(d,p) and SMD-Coulomb
  Erythrosine Eosin
Water DMSO Water DMSO
a H = HOMO; L = LUMO.
NEQ λmax (nm) Orbitalsa Trans. Coef. f λmax (nm) Orbitalsa Trans. Coef. f λmax (nm) Orbitalsa Trans. Coef. f λmax (nm) Orbitalsa Trans. Coef. f
463 H → L 0.64 0.34 462 H → L 0.65 0.39 447 H → L 0.64 0.36 449 H → L 0.65 0.38
H−1 → L 0.30 H−1 → L 0.27 H−1 → L −0.28 H−1 → L −0.26
NEL 270 H → L+4 0.47 0.37 270 H → L+4 0.48 0.42 261 H → L+4 0.43 0.36 262 H → L+4 0.40 0.36
H → L+5 0.26 H → L+5 0.22 H−2 → L+3 0.19 H−2 → L+5 0.19
H−2 → L+3 0.20 H−2 → L+4 0.22 H−3 → L+1 0.15 H → L+7 0.13
MAC 450 H → L 0.65 0.39 456 H → L 0.67 0.39 440 H → L 0.66 0.40 458 H → L 0.64 0.25
H−1 → L 0.26     H−1 → L −0.14 H−1 → L −0.23 H−1 → L −0.27  
H−2 → L −0.11
MAF 468 H → L 0.70 0.87 472 H → L 0.70 0.90 459 H → L 0.70 0.83 463 H → L 0.71 0.84
DA 461 H → L 0.70 0.84 461 H → L 0.70 0.86 453 H → L 0.70 0.80 456 H → L 0.70 0.81
MET−NE 462 H → L 0.64 0.34 460 H → L 0.65 0.39 446 H → L 0.64 0.36 447 H → L 0.65 0.39
H−1 → L 0.30 H−1 → L −0.26 H−1 → L 0.27 H−1 → L 0.25
MET−MA 468 H → L 0.70 0.85 471 H → L 0.70 0.90 459 H → L 0.70 0.82 463 H → L 0.70 0.84


For easy comparison between the theoretical and experimental spectra (this obtained by Matrix-K methodology), Fig. 7, the main transitions in water and DMSO are presented for neutral tautomers NEQ and NEL and the monoanionic MAC and MAF of ERY (and in Fig. SI-2 for EOS). It is worth to mention that the f = 1 is the superior limit of electronic transitions that is equivalent to an absorptivity of 1 × 105 L mol−1 cm−1 (the inferior limit is f = 0.01).75,76 Therefore the spectra are presented with f from 0 to 1 and the experimental spectra from 0 to 1 × 105 L mol−1 cm−1.


image file: c6ra12198e-f7.tif
Fig. 7 Absorption spectra for the tautomer forms of neutral (NE) and monoanionic (MA) species determined experimentally using chemometry and estimated by TD-DFT using B3LYP/6-311++G(d,p) with SMD-Coulomb: (A) ERY-NE in water; (B) ERY-MA in water; (C) ERY-NE in DMSO; (D) ERY-MA in DMSO.
NEL and NEQ. For the neutral tautomer NEL of both ERY and EOS in water and in DMSO, the significant f values are shown only in the UV region that confirms fNEL = 0 in the visible region. Therefore the experimental spectrum of NE corresponds to the NEQ where two main peaks are observed in the visible region independent of the solvent (Fig. 7A and C).
MAC and MAF of ERY in water. The lower f of MAC compared to MAF justifies the low experimental absorptivity of the monoanionic species of ERY/water in Table 2 allied to the result in Table 3 that shows, despite the low absorptivity, high presence of MAC, χMAC = 0.71 in water. MAF presents λmax of 17 nm higher than MAC (Table 8), therefore the experimental band at 529 nm probably corresponds to MAF while the shoulder at ∼490 nm to MAC. Indeed we reinforce again that, despite the fact that MAC showed lower absorbance intensity (Fig. 7B), it is the preferred tautomer in water (Table 3).
MAC and MAF of ERY in DMSO. In the experimental spectrum of monoanionic species in DMSO the MAF peak showed up on the right side with very high absorption intensity, while the MAC's small peak is present in the blue-shift region (Fig. 7D). This large intensity difference between the experimental absorptivities of MAF and MAC can not be only justified by the difference in f values, although for MAC f is 43% of the MAF (Table 8 and Fig. 7D). In fact the results are consistent with a higher proportion of MAF in this tautomeric equilibrium, such as χMAF = 0.93 in 70% DMSO (Table 3).
MAC and MAF of EOS in water. The theoretical results for EOS in water (Table 8 and Fig. SI–2B) show fMAC = 0.828 higher than fMAF = 0.404 and λmax,MAF > λmax,MAC, similarly as verified for ERY. Therefore for the experimental spectrum of monoanionic species, the peak on the right side belongs to MAF, while the small shoulder on the left side is related to MAC. The intensities of these experimental peaks is coherent with the almost equivalent presence of both tautomers, as experimentally calculated, χMAF = 0.43 and χMAC = 0.57 (Table 3).
MAC and MAF of EOS in DMSO. For monoanionic species of EOS in DMSO also again as in water fMAF is lower than fMAC (Fig. SI-2D) and the amount of MAF and MAC should be similar (χMAF = 0.39).

Additionally the theoretical data in Table 8 confirms that MAF, DA and MET-MA (methyl ester) for ERY and EOS – the phenolate chromophore structure, exhibit similar characteristics among them: the orbitals participating in the HOMO → LUMO transition and the molar absorptivities. The same similarity was verified among NEQ, MAC and MET-NE (methyl ester) for ERY and EOS – the phenolic chromophore structure. Particularly the oscillator strength showed: fMAFfDAfMET-MA and fNEQfMACfMET-NE in water and DMSO that confirms the approaches used for the molar fractions and tautomeric constant determinations: εMAF = εDA = εMET-MA and εNEQ = εMAC = εMET-NE. As shown the TD-DFT results seems appropriate and reinforce the approximations adopted leading to confident calculation of molar fractions and tautomeric constants (Table 3).

In spite of these similarities, there are some differences between MAC to NEQ and MET-NE (ester) and DA to MAF and MET-MA (ester). For example fMAC was around ±0.05 units different from fNEQ and fMET-NE (expect for ERY in DMSO). However these errors are not enough to affect significantly the KM determinations (Table 3), or to cause prejudice to the qualitative analysis of the protolytic equilibria. These differences are discussed in the next item.

HOMO–LUMO transitions and the charge effect of the carboxylate on the chromophore group

As observed in Table 8, the HOMO → LUMO are the most significant electronic transitions for the structures of ERY and EOS. Note that for MAC, NEQ and MET-NE, the involved orbital (H → L) resulted to very close values of λmax. The same effect occurs among DA, MAF and MET-MA. In NEL, the only exception, the high difference of energy between HOMO and LUMO+4 (Table 8) makes the transition to occur at the UV, instead of visible region.

As exemplified using MAC and MAF, the delocalization of the electronic density occurs from the borders of the chromophoric region of the HOMO toward the central xanthene ring of LUMO, Fig. 8. Besides, from observing the high orbital π overlapping of the xanthene part, the transition HOMO → LUMO involves mainly orbitals π → π*, which are consistent with the region at ∼500 nm.59,76,77


image file: c6ra12198e-f8.tif
Fig. 8 Principal HOMO and LUMO orbitals (0.0004 e Å−3) for MAC and MAF of ERY in water obtained from B3LYP/DGDZVP with IEF-PCM/UFF.

As already mentioned, despite the similarity of the chromophoric groups and spectra, some differences showed up (Table 8) for DA in relation to MAF and MET-MA and MAC in relation to NEQ and MET-NE. It is worth mentioning that both DA and MAC present the carboxylate group (–COO). It is already reported for ERY that, despite no significant interference to molar absorptivity, the substituent –COO could influence the xanthene chromophore ring causing spectral differences up to 10 nm in λmax between DA and MAF.78 In our previous study13 with Fluorescein it was concluded that, although the negative charge on the carboxylate in DA causes the increase of the benzene ring's resonance, it participates minimally to the resultant main electronic transitions. It is important to emphasize that effect occurs without the direct resonance between the xanthene part with the benzene ring due to the orthogonality9,13 as illustrated in Fig. 6B, 8 and SI-1. Therefore it suggests the occurrence of intramolecular interactions involving orbitals from –COO and xanthene part.

To investigate this effect, the specific interactions at NBO of O7′ and O9′ with atoms of the xanthene ring were studied. The significant stabilization energies (Estab > 0.50 kcal mol−1) was found among NBO of two non-bonding electron pairs – “n” lone pair of O8′ – and antibonding orbitals of the xanthene ring, as illustrated previously in Fig. 7B for MAC between n (O8′) and π* (C9–C12).

For ERY the Estab of MAC (7.82 kcal mol−1) was higher than the value for NEQ (2.18 kcal mol−1) and MET-NE (2.17 kcal mol−1). The same occurred for EOS, with the Estab values of MAC (7.88 kcal mol−1), NEQ (2.21 kcal mol−1) and MET-NE (2.35 kcal mol−1). Similarly for ERY the Estab resulted for DA (9.90 kcal mol−1) much higher than MAF (4.10 kcal mol−1) and MET-MA (4.37 kcal mol−1), and for EOS the DA (9.61 kcal mol−1) was much higher than MAF (4.05 kcal mol−1) and MET-MA (4.27 kcal mol−1).

Thus, these higher values of Estab for MAC with NEQ and MET-NE and for DA with MAF and MET-MA pointed out effective interaction between n orbitals of O8′ with xanthene ring orbitals for MAC and DA, which have the carboxylate group –COO. The other structures that present –COOH or –(COO)CH3 (the esters) show weak orbital overlapping due to the absence of the negative charge. Therefore these interactions justify the spectral differences observed by the presence of the carboxylate group on the electronic delocalization of the chromophore causing the results observed in λmax and molar absorptivities listed in Table 8.

These orbital's interactions are also evidenced in the side view of HOMO and LUMO (Fig. 8). The HOMO of –COO for MAC is large enough to overlap the LUMO of the xanthenes suggesting effective participation on the electronic transition. This phenomenon, allied to differences at the chromophoric group of MAC and MAF, caused a shift of more than 15 nm (Δν ∼ 0.2 s−1) in the λmax of these species (Table 8). On the other hand, there is no HOMO of the –COOH in MAF to overlap to LUMO of the xanthene's orbitals. Consequently, there is not a HOMO → LUMO transition.

Conclusions

In general the experimental tautomeric equilibrium constants for ERY show that the most representative sequence of protolytic equilibria in water rich media is NEQ ⇌ MAC ⇌ DA, while above 35% of DMSO in water is NEL ⇌ MAF ⇌ DA. For EOS, there are two possibilities: NEL ⇌ MAF or NEQ ⇌ MAF as pKa1 = pKa-OH and MAF ⇌ DA as pKa2 = pKa-COOH in the range of 0 to 70% of DMSO in water. The lower dielectric solvent constant in water/DMSO mixtures causes the pKa inversion for ERY due to the high ratio MAF/MAC and NEL stabilization. Therefore, this is not only NEL prevalence that commands the pKa inversion, but mainly MAC and MAF.

The high dipole moment with charge polarity of NEQ and MAC of ERY justifies their stabilization in water, while the high charge distribution over the entire molecule of MAF permits high stabilization in solvents with low dielectric constants (compared to water), such as in DMSO. However particularly MAF of EOS presents a high dipole moment that contributes to its reasonable stability in water, which explains the pKa-OH < pKa-COOH independent of the DMSO presence. This effect is originated from the electronic delocalization differences of MAF for ERY and EOS, influenced for the overlap between the NBO σ orbitals of C–I (ERY) or of C–Br (EOS) with π* of C–C, in which for ERY is higher than for EOS.

The spectrum of each tautomer form simulated with TD-DFT permitted to confirm the experimental finds of molar fractions, and that the statement of εMET-NE = εNEQ = εMAC and εMET-MA = εMAF is adequate leading to confident KT values. The NBO and HOMO–LUMO orbitals confirm that the negative charge of –COO causes a small influence on the xanthene chromophore caused by the interaction of n–π* orbitals.

All results allowed for a better comprehension of the pKa inversion and the prediction of the tautomer's participation on ERY and EOS equilibria combined with the solvent dependence. These results contribute to several applications such as photosensitizers in PDT and PDIMO, once permitted to drive the structure's presence and its properties under light.

Acknowledgements

This work was sponsored by the Brazilian funding agencies UGF-SETI/PR, CAPES, FAPEMIG and CNPq.

References

  1. A. Savino and G. Angeli, Water Res., 1985, 19, 1465–1469 CrossRef CAS.
  2. S. Wood, D. Metcalf, D. Devine and C. Robinson, J. Antimicrob. Chemother., 2006, 57, 680–684 CrossRef CAS PubMed.
  3. J. Y. Nagata, N. Hioka, E. Kimura, V. R. Batistela, R. S. T. Terada, A. X. Graciano, M. L. Baesso and M. F. Hayacibara, Photodiagn. Photodyn. Ther., 2012, 9, 122–131 CrossRef CAS PubMed.
  4. D. S. Pellosi, V. R. Batistela, V. R. Souza, I. S. Scarminio, W. Caetano and N. Hioka, An. Acad. Bras. Cienc., 2013, 85, 1267–1274 CrossRef CAS PubMed.
  5. B. M. Estevão, D. S. Pellosi, C. F. Freitas, D. Vanzin, D. S. Franciscato, W. Caetano and N. Hioka, J. Photochem. Photobiol., A, 2014, 287, 30–39 CrossRef.
  6. N. N. Yassunaka, C. F. Freitas, B. R. Rabello, P. R. Santos, W. Caetano, N. Hioka, T. U. Nakamura, B. A. Abreu Filho and J. M. G. Mikcha, Curr. Microbiol., 2015, 71, 243–251 CrossRef CAS PubMed.
  7. L. S. Herculano, G. V. B. Lukasievicz, E. Sehn, W. Caetano, D. S. Pellosi, N. Hioka, N. G. C. Astrath and L. C. Malacarne, Appl. Spectrosc., 2015, 69, 883–888 CrossRef CAS PubMed.
  8. N. O. Mchedlov-Petrossyan and R. S. Mayorga, J. Chem. Soc., Faraday Trans., 1992, 88, 3025–3032 RSC.
  9. Y. H. Jang, S. Hwang and D. S. Chung, Chem. Lett., 2001, 30, 1316–1317 CrossRef.
  10. N. O. Mchedlov-Petrossyan, N. A. Vodolazkaya, Y. N. Surov and D. V. Samoylov, Spectrochim. Acta, Part A, 2005, 61, 2747–2760 CrossRef PubMed.
  11. N. A. Vodolazkaya, P. V. Shakhova and N. O. Mchedlov-Petrossyan, Russ. J. Gen. Chem., 2009, 79, 1437–1445 CrossRef CAS.
  12. N. A. Vodolazkaya, Y. A. Gurina, N. V. Salamanova and N. O. Mchedlov-Petrossyan, J. Mol. Liq., 2009, 145, 188–196 CrossRef CAS.
  13. V. R. Batistela, J. C. Cedran, H. P. M. Oliveira, I. S. Scarminio, L. T. Ueno, A. E. H. Machado and N. Hioka, Dyes Pigm., 2010, 86, 15–24 CrossRef CAS.
  14. N. O. Mchedlov-Petrossyan, T. A. Cheipesh, S. V. Shekhovtsov, A. N. Redko, V. I. Rybachenko, I. V. Omelchenko and O. V. Shishkin, Spectrochim. Acta, Part A, 2015, 150, 151–161 CrossRef CAS PubMed.
  15. V. R. Batistela, D. S. Pellosi, F. D. Souza, W. F. Costa, S. M. O. Santin, V. R. Souza, W. Caetano, H. P. M. Oliveira, I. S. Scarminio and N. Hioka, Spectrochim. Acta, Part A, 2011, 79, 889–897 CrossRef CAS PubMed.
  16. N. O. Mchedlov-Petrossyan and V. N. Kleshchevnikova, J. Chem. Soc., Faraday Trans., 1994, 90, 629–640 RSC.
  17. R. Markuszewski and H. Diehl, Talanta, 1980, 27, 937 CrossRef CAS PubMed.
  18. U. Anthoni, C. Christophersen, P. H. Nielsen, A. Püschl and K. Schaumburg, J. Struct. Chem., 1995, 6, 161 CrossRef CAS.
  19. N. O. Mchedlov-Petrossyan, V. I. Kukhitk and S. I. Egorova, Russ. J. Gen. Chem., 2006, 76, 1607–1617 CrossRef.
  20. N. O. Mchedlov-Petrossyan, N. V. Salamanova, N. A. Vodolazkaya, Y. A. Gurina and V. I. Borodenko, J. Phys. Org. Chem., 2006, 19, 365–375 CrossRef CAS.
  21. M. B. Gholivand, J. B. Ghasemi, S. Saaidpour and A. Mohajerd, Spectrochim. Acta, Part A, 2008, 71, 1158–1165 CrossRef PubMed.
  22. R. G. Bates, Determination of pH. Theory and practice, Wiley, New York, 1964 Search PubMed.
  23. D. C. Neckers, J. Chem. Educ., 1987, 64, 649–656 CrossRef CAS.
  24. A. V. Lebed, A. V. Biryukov and N. O. Mchedlov-Petrossyan, Chem. Heterocycl. Compd., 2014, 50, 336–348 CrossRef CAS.
  25. M. Król, M. Wrona, C. S. Page and P. A. Bates, J. Chem. Theory Comput., 2006, 2, 1520–1529 CrossRef PubMed.
  26. D. S. Pellosi, B. M. Estevão, C. F. Freitas, T. M. Tsubone, W. Caetano and N. Hioka, Dyes Pigm., 2013, 99, 705–712 CrossRef CAS.
  27. A. J. Cohen, P. Mori-Sánchez and W. Yang, Chem. Rev., 2012, 112, 289–320 CrossRef CAS PubMed.
  28. N. Godbout, D. R. Salahub, J. Andzelm and E. Wimmer, Can. J. Chem., 1992, 70, 560–571 CrossRef CAS.
  29. C. Sosa, J. Andzelm, B. C. Elkin, E. Wimmer, K. D. Dobbs and D. A. Dixon, J. Phys. Chem., 1992, 96, 6630–6636 CrossRef CAS.
  30. C. E. Check, T. O. Faust, J. M. Bailey, B. J. Wright, T. M. Gilbert and L. S. Sunderlin, J. Phys. Chem. A, 2001, 105, 8111 CrossRef CAS.
  31. M. N. Glukhovstev, A. Pross, M. P. McGrath and L. Radom, J. Chem. Phys., 1995, 103, 1878 CrossRef.
  32. J. Tomasi, B. Mennucci and E. Cancès, J. Mol. Struct., 1999, 464, 211 CrossRef CAS.
  33. A. V. Marenich, C. J. Cramer and D. G. Truhlar, J. Phys. Chem. B, 2009, 113, 6378 CrossRef CAS PubMed.
  34. L. Pauling, The Nature of the Chemical Bond, Cornell University Press, Ithaca, NY, 3rd edn, 1960 Search PubMed.
  35. A. K. Rappe, C. J. Casewit, K. S. Colwell, W. A. Goddard and W. M. Skiff, J. Am. Chem. Soc., 1992, 114, 10024 CrossRef CAS.
  36. S. Simon, M. Duran and J. J. Dannenberg, J. Chem. Phys., 1996, 105, 11024–11031 CrossRef CAS.
  37. M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria, M. A. Robb, J. R. Cheeseman, G. Scalmani, V. Barone, B. Mennucci, G. A. Petersson, H. Nakatsuji, M. Caricato, X. Li, H. P. Hratchian, A. F. Izmaylov, J. Bloino, G. Zheng, J. L. Sonnenberg, M. Hada, M. Ehara, K. Toyota, R. Fukuda, J. Hasegawa, M. Ishida, T. Nakajima, Y. Honda, O. Kitao, H. Nakai, T. Vreven, J. A. Montgomery Jr, J. E. Peralta, F. Ogliaro, M. Bearpark, J. J. Heyd, E. Brothers, K. N. Kudin, V. N. Staroverov, R. Kobayashi, J. Normand, K. Raghavachari, A. Rendell, J. C. Burant, S. S. Iyengar, J. Tomasi, M. Cossi, N. Rega, J. M. Millam, M. Klene, J. E. Knox, J. B. Cross, V. Bakken, C. Adamo, J. Jaramillo, R. Gomperts, R. E. Stratmann, O. Yazyev, A. J. Austin, R. Cammi, C. Pomelli, J. W. Ochterski, R. L. Martin, K. Morokuma, V. G. Zakrzewski, G. A. Voth, P. Salvador, J. J. Dannenberg, S. Dapprich, A. D. Daniels, O. Farkas, J. B. Foresman, J. V. Ortiz, J. Cioslowski and D. J. Fox, Gaussian 09, Revision A.01, Gaussian, Inc., Wallingford CT, 2009 Search PubMed.
  38. ChemDraw Ultra®, Chemical Structure Drawing Standard, CambridgeSoft Corporation, Cambridge, MA, 1985–2001, obtained at http://www.cambridgesoft.com Search PubMed.
  39. J. W. Ochterski, Thermochemistry in Gaussian, Gaussian, 2000, hyperlink: http://www.gaussian.com/g_whitepap/thermo/thermo.pdf, accessed in may/2013 Search PubMed.
  40. N. Marchand-Geneste and A. Carpy, J. Mol. Struct.: THEOCHEM, 1999, 465, 209–217 CrossRef CAS.
  41. P. U. Civcir, J. Mol. Struct.: THEOCHEM, 2001, 535, 121–129 CrossRef CAS.
  42. I. N. Levine, Physical Chemistry, McGraw-Hill, Inc., New York, 6th edn, 2009 Search PubMed.
  43. M. D. Liptak, K. C. Gross, P. G. Seybold, S. Feldgus and G. C. Shields, J. Am. Chem. Soc., 2002, 124, 6421–6427 CrossRef CAS PubMed.
  44. J. Ho and M. L. Coote, Theor. Chem. Acc., 2010, 125, 3–21 CrossRef CAS.
  45. M. Król, M. Wrona, C. S. Page and P. A. Bates, J. Chem. Theory Comput., 2006, 2, 1520–1529 CrossRef PubMed.
  46. M. D. Tissandier, K. A. Cowen, W. Y. Feng, E. Gundlach, M. H. Cohen, A. D. Earhart, J. V. Coe and T. R. Tuttle, J. Phys. Chem. A, 1998, 102, 7787–7794 CrossRef CAS.
  47. T. R. Tuttle, S. Malaxos and J. V. Coe, J. Phys. Chem. A, 2002, 106, 925–932 CrossRef CAS.
  48. M. W. Palascak and G. C. Shields, J. Phys. Chem. A, 2004, 108, 3692–3694 CrossRef CAS.
  49. D. M. Camaioni and C. A. Schwerdtfeger, J. Phys. Chem. A, 2005, 109, 10795–10797 CrossRef CAS PubMed.
  50. C. P. Kelly, C. J. Cramer and D. G. Truhlar, J. Phys. Chem. A, 2006, 110, 2493–2499 CrossRef CAS PubMed.
  51. CRC Handbook of Chem. and Phys., ed. D. R. Lide, 88th edn, 2007–2008 Search PubMed.
  52. Y. Marcus, Pure Appl. Chem., 1983, 55, 977–1021 CrossRef CAS.
  53. F. Amat-Guerri, M. M. C. López-Gonzalez, R. Martínez-Utrila and R. Sastre, Dyes Pigm., 1990, 12, 249–272 CrossRef.
  54. M. M. Sena, I. S. Scarmínio, K. E. Collins and C. H. Collins, Talanta, 2000, 53, 453–461 CrossRef CAS PubMed.
  55. D. Almasifar, F. Forghaniha, Z. Khojasteh, J. Ghasemi, H. Shargi and M. Shamsipur, J. Chem. Eng. Data, 1997, 42, 1212–1215 CrossRef CAS.
  56. J. Ghasemi, A. Niazi, M. Kubista and A. Elbergali, Anal. Chim. Acta, 2002, 455, 335–342 CrossRef CAS.
  57. N. O. Mchedlov-Petrossyan, V. I. Kukhtik and V. D. Bezugliyz, J. Phys. Org. Chem., 2003, 16, 380–397 CrossRef CAS.
  58. X. Wang, M. Song and Y. Long, J. Solid State Chem., 2001, 156, 325–330 CrossRef CAS.
  59. E. A. Slyusareva, F. N. Tomilin, A. G. Sizykh, E. Y. Tankevich, A. A. Kuzubov and S. G. Ovchinnikov, Spectroscopy of Atoms and Molecules, 2012, 112, 671–678 CAS.
  60. P. Mukerjee and D. Ostrow, Tetrahedron Lett., 1998, 39, 422–426 CrossRef.
  61. A. Orte, L. Crovetto, E. M. Talavera, N. Boens and J. M. Alvarez-Pez, J. Phys. Chem. A, 2005, 109, 734–747 CrossRef CAS PubMed.
  62. A. I. M. C. L. Ferreira and M. A. V. R. Silva, J. Chem. Thermodyn., 2013, 59, 94–106 CrossRef.
  63. J. B. Foresman and A. E. Frisch, Exploring chemistry with electronic structure methods, Gaussian, Inc., Pittsburgh, 2nd edn, 1996 Search PubMed.
  64. M. Trsic and M. F. S. Pinto, Química Quântica: Fundamentos e Aplicações, Barueri, SP, Manole, 2009 Search PubMed.
  65. A. V. Marenich, C. J. Cramer and D. G. Truhlar, J. Phys. Chem. B, 2009, 113, 6378–6396 CrossRef CAS PubMed.
  66. L. Safarik and Z. Stránský, Titrimetric analysis in organic solvents, Wilson and Wilson's Comprehensive Analytical Chemistry, Elsevier Science Publ., Amsterdam, 1986, vol. 22 Search PubMed.
  67. T. L. Brown, H. E. LeMay, B. E. Bursten, C. J. Murphy and P. Woodward, Chemistry: the central science, Pearson Prentice Hall, USA, 11th edn, 2009 Search PubMed.
  68. Tutorial on Energetic Analysis with NBO Deletions ($DEL Keylist), ed. E. Glendening, C. R. Landis and F. Weinhold, Theor. Chem. Inst. of the University of Wisconsin, hyperlink: http://www.chem.wisc.edu/%7Enbo5/TUT_DEL.HTM, accessed in February/2014 Search PubMed.
  69. A. Nataraj, V. Balachandran and T. Karthick, J. Mol. Struct., 2013, 1031, 221–233 CrossRef CAS.
  70. J. E. Huheey, E. A. Keiter and R. L. Keiter, Inorganic Chemistry: principles of structure and reactivity, HarperCollins Col. Pub., New York, 4th edn, 1993 Search PubMed.
  71. H.-B. Guo, F. He, B. Gu, L. Liang and J. C. Smith, J. Phys. Chem. A, 2012, 116(48), 11870–11879 CrossRef CAS PubMed.
  72. A. Tamulis, J. Tamuliene, M. L. Balevicius, Z. Rinkevicious and V. Tamulis, Struct. Chem., 2003, 14, 643 CrossRef CAS.
  73. M. E. Casida and M. Huix-Rotllant, Annu. Rev. Phys. Chem., 2012, 63, 287–323 CrossRef CAS PubMed.
  74. D. C. Young, Computational chemistry: a practical guide for applying techniques to real-world problems, John Wiley & Sons, New York, 2001 Search PubMed.
  75. D. C. Harris and M. D. Bertolucci, Symmetry and spectroscopy: an introduction to vibrational and electronic spectroscopy, Dover, New York, 1989 Search PubMed.
  76. N. J. Turro, Modern molecular photochemistry, University Science Books, New York, 1991 Search PubMed.
  77. B. Valeur, Molecular fluorescence: principles and applications, Verlag GmbH, Wiley-VCH, 2002 Search PubMed.
  78. J. Kibblewhite, G. G. Drummond, F. Grieser and P. J. Thistlethwaite, J. Phys. Chem., 1989, 93, 7464 CrossRef CAS.

Footnote

Electronic supplementary information (ESI) available: Supplementary results of binding constant studies. See DOI: 10.1039/c6ra12198e

This journal is © The Royal Society of Chemistry 2016
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