Skip to main content
Turkish Journal of Chemistry logoLink to Turkish Journal of Chemistry
. 2021 Dec 27;46(3):721–729. doi: 10.55730/1300-0527.3362

An experimental and theoretical analysis of supercritical carbon dioxide extraction of Cu(II) and Pb(II) ions in the form of dithizone bidentate complexes

Jeton HALILI 1, Avni BERISHA 1,*
PMCID: PMC10503982  PMID: 37720605

Abstract

For more than five decades, dithizone has been widely used as an analytical reagent. This ligand forms strongly colored complexes with metal ions and this ability to form complexes can be used for extraction/removal of certain metal ions in addition to analytical determination. In static mode, the supercritical carbon dioxide extraction of copper and lead ions from aqueous solutions after complexation by the dithizone ligand is studied (at two different conditions: a) p = 120 bar, T = 30 °C, and b) p = 72 bar, T = 50 °C). The addition of methanol improved the extraction process by modulating the polarity of the extraction medium. Atomic absorption spectroscopy (AAS) is used to determine the concentration of metal ions before and after extraction. We use density functional theory (DFT) [model chemistry: using m-GGA/M11-L] to better understand the binding energy and geometry of bidentate ligands produced from dithizone and copper(II) or lead(II) ions. Furthermore, the developed complexes’ noncovalent interactions (NCI), bond order analysis, and electron localization function (ELF) provided valuable details about these molecules. To elucidate the bidentate complex extraction mechanism formed between the heavy metal ions and the dithizone ligand, molecular dynamic simulations at periodical boundary conditions were performed using the universal force field to obtain precise molecular descriptions.

Keywords: Supercritical CO2, heavy metals, AAS, DFT

1. Introduction

Heavy metals are inorganic pollutants with a specific gravity greater than or equal to 5.0 that are extremely toxic and potentially hazardous. Some of these heavy metals are important trace elements, such as Cu, Fe, and Zn, while others, such as Pb, Ni, Cr, and Cd, are relatively toxic [1,2]. Above a certain amount in the human body, however, they become highly toxic. In addition, Pb, Hg, Cd, and As, which are not essential in the human body, are also toxic in trace amounts [3]. Environmental pollution and ecological degradation have become extremely serious due to rapid economic growth, threatening human health and survival. Potentially toxic heavy metal elements contribute significantly to environmental pollution in soil, air, and water [4,5]. Heavy metals are easily absorbed by plants and soils, and thus join the food chain, causing severe harm to human health [1]. Because it can reduce the amount of liquid waste produced and simplify the extraction process, supercritical fluid extraction (SFE) is gaining popularity as a viable alternative to the traditional process [2]. Supercritical fluid extraction is considered a modern technology technique, and there is a growing demand for environmentally friendly metal recovery processes.

The removal of heavy metals from liquid and solid matrices has remained a major problem in recent years. Although several methods are available for this purpose, SFE is considered the most promising technique. Metal ions have been removed from various media with supercritical fluids modified by the use of complexing agents [3].

Because of the charge neutralization required and the weak solute-solvent interaction, direct extraction of metal ions by (SFE) without the addition of a ligand is very inefficient. Metal ions, on the other hand, become extremely soluble in SF-CO2 when chelated with organic ligands [4]. Metal ions can be converted to metal chelates by one of two methods. One method is online chelation, in which the ligands are first dissolved in SF-CO2 and then flow through the sample matrix. Another approach is in situ chelation, in which the ligands are applied directly to the sample matrix before supercritical fluid extraction (SFE) [5]. According to the literature, both methods of metal ion extraction with SF-CO2 have proven successful. When extracting with supercritical CO2, many factors must be considered. (1) solubility of the chelating agent, (2) solubility and stability of the metal chelate, (3) density of the supercritical fluid, (4) chemical form of the metal species, 5) addition of modifiers, and (6) sample matrix [68].

Several researchers have performed studies on the extraction of heavy metals using SF-CO2. Cu extraction from liquid and solid samples using SF-CO2 in the presence of Bi’s ligand (trifluoroethyl) dithiocarbamate (FDDC) was demonstrated in 1992 [6]. The SFE of Cu(II) and Zn(II) ions was investigated using static and dynamic extraction techniques with dithizone as a chelating agent [9]. A variety of chelating agents, including dithiocarbamates, β-diketone, reactive organophosphorus compound, macrocyclic compounds, and surfactants, are used for metal complexes in SF-CO2.

Molecular mechanics (MM) and density functional theory (DFT) computations have emerged and been embraced as critical tools for studying chemical interactions at many scales and systems. These kinds of computations enable the study of the nature and energetics of molecular interactions, as well as the mechanism of reactions.

The purpose of this work is to investigate the extraction of Pb(II) and Cu(II) ions from aqueous solutions utilizing dithizone as a complexing reagent. Additionally, with the use of advanced theoretical calculations, a molecular knowledge of the interaction, bonding nature, and SF extraction mechanism was gained. To our knowledge, this is the first work to combine experimental and theoretical calculations for supercritical metal extraction utilizing dithizone as a complexing agent.

2. Materials and methods

2.1. Experimental section

2.1.1. Reagents and instruments

Cu and Pb (Fluka) ICP standard solutions were obtained. Dithizone (MERCK) was used as the chelating agent. Methanol (Sigma Aldrich) was used as the modifier. NaOH (Sigma Aldrich) is used for pH adjustment. Many of the reagents used were analytical grade and of the highest purity. Deionized water was used in all experiments. The metal solutions were prepared from the stock standard solution of Cu(II) and Pb(II). The sample was placed in an extraction cell and an equivalent amount of a chelating agent (dithizone) was added. Carbon dioxide was supplied from a supply tank maintained at a pressure of approximately 53 bar. After the extraction process, samples were digested with HNO3 (65%) (Sigma Aldrich) in closed polytetrafluoroethylene (PTFE) tubes using a three-step protocol using microwave (Analytik jena). The concentration of metals such as Cu and Pb obtained during dynamic extraction was determined using an AAS (Analytikjena) equipped with a multi-wave lamp. The air acetylene nebulizer system is used. The flow rate of the nebulizer was 5 ml min−1. The wavelengths used are: Cu: 324.8 nm (0.5 nm) and Pb: 217.0 nm (0.5 nm).

The instrument is calibrated using a 1000 mg/L standard solution of these metals. All metal concentrations are expressed in parts per million (ppm). All experiments were carried out in a supercritical fluid extraction apparatus built by the Department of Chemistry at the University of Prishtina. The supercritical extraction method represented in Figure 1 was used to achieve the study’s objectives. All extractions were performed in a unique stainless steel cylindrical extraction vessel (20 mL) with two glass windows (MAXOS 30 × 15 mm) for phase observation.

Figure 1.

Figure 1

Apparatus for extraction with supercritical CO2.

2.1.2. Extraction procedure

Static supercritical CO2 extraction methods were used. The extraction was carried out under near-critical conditions of liquid CO2, temperature (30 °C), pressure (72 bar), and supercritical conditions temperature (50 °C), pressure (120 bar). The dissolved solution was extracted at constant temperature and pressure of CO2 for 60 min. After extraction, the solution was removed from the extraction vessel and digested in a microwave oven with HNO3 (65%) at 180 °C for 20 min. The solutions were then analyzed using atomic absorption spectrometry (AAS). Extraction efficiencies were calculated based on the amount of metal ions in the water sample before and after extraction.

2.2. Computational details

2.2.1. DFT calculations

DFT was performed using the Dmol3 software. Geometry optimization (spin unrestricted) using the double numerical plus polarization basis set (DNP) [10][11] along with the PBE functional within the m-GGA approximation is used [12]. Grimme DFT-D was used to provide dispersion correction effects. [13]. The COSMO method is used to include water as a solvent [14,15]. For the ELF-analysis, a single point geometry calculation (using geometry coordinates generated by the Dmol3 software in the previous step) was performed using the Orca software [16] at the density functional theory level with the M06 exchange-correlation functional and the def2-TZVP basis set [17,18]. The van der Waals interactions were accounted for by an atom-pair dispersion correction using the zero-damping scheme (D30) [19]. The adsorption energy, is evaluated using the well-known method [2022]. The noncovalent interaction (NCI) was calculated using Multiwfn software [23][24]. The NCI surface is plotted using the Visual Molecular Dynamics software [25].

2.2.2. Molecular dynamic

Molecular dynamic simulations were performed at periodical boundary conditions with the universal force field to obtain detailed molecular details to elucidate the extraction process of the bidentate complex formed between the heavy metal ions and the dithizone ligand [26]. The cell with dimensions: 47.2387Å × 47.2387 Å × 75.1343 Å containing an upper layer composed of 296 CO2 molecules and a lower layer composed of 2100 water molecules + a Cu(II)-dithizone complex is used in the MD calculations. The MD is performed under NPT ensemble at 323.15 K, p = 0.02 GPa with 1 fs time step and a total simulation time of 500 ps. A Nose thermostat is used for temperature control and a Berendsen barostat was used for pressure control of the system [27][27]. The determination of the self-diffusion coefficient (SDC) [28] is performed by:

D=16limtddti=1Nα(ri(t)-ri(0))2 (1)

where the 〈[(ri (t)-ri (0))]^2〉 is the mean squared displacement values obtained from MD trajectory.

3. Results and discussion

There is a deficit of scientific knowledge on the extraction of heavy metals using SF-CO2 and dithizone as chelating agents. Solution pH is an important factor in the extraction of complexes from aqueous samples with supercritical CO2. Fischer [29] discovered that all metal-dithizone complexes can exist in the “keto” form, in which the hydrogen atoms of the “phenylimino” groups are substituted by metals (II). In basic solutions or the absence of the dithizone ligand, the metal-dithizone complex can change to the “enol” form (both I and III), which is derived from the “thiol” form of the reagent, which loses two hydrogen atoms (Scheme).

Scheme.

Scheme

Keto/enol forms of metal-dithizone complexes.

Considering that dithizone contains two dissociated hydrogen atoms, Irving et al. [30] studied dithizone as acid and found the first dissociation constant and the conclusion that the extraction of the metal-dithizone complex is affected by pH.

Due to CO2 solubility and carbonic acid formation, the pH of the aqueous phase can decrease (by up to 3) during the extraction process. On the other hand, the metal-dithizone complex is unstable in an acidic environment. Therefore, we used sodium hydroxide to adjust the pH value (pH = 10) in our experiments to increase the pH of the solution. The formation of carbonic acid occurs according to the following reaction.

CO2+H2O=H2CO3=H++HCO-3

Static extraction of Pb(II) and Cu(II) complexes from aqueous solutions was carried out at two different pressures (72 and 120 bar). In these different conditions, the CO2 is near critical (72 bar) and at supercritical conditions (120 bar), where a difference in the extraction efficiency is expected.

The extraction percentages of each analyte studied at different pressures are shown in Tables 1 and 2.

Table 1.

The mean percent recoveries of Pb by static extraction from SF-CO2 using Dithizone as chelating (30 °C, 72 bar) and (50 °C, 120 bar).

Metal Modifier 72 bar 120 bar
Pb1 CH3OH 13.7 % 57%
Pb2 NaOH+CH3OH 95.3 % 99.3%
Pb3 NaOH 73.1% 77.2%

Table 2.

The mean percent recoveries Cu by static extraction from SC-CO2 using Dithizon as chelating (30 °C, 72 bar) and (50 °C, 120 bar)

Metal Modifier 72 bar 120 bar
Cu1 CH3OH 71.7% 89.1%
Cu2 NaOH+CH3OH 78.8% 93%
Cu3 NaOH 52.7% 81.2%

In the presence of modifiers, the extraction rate of Pb-dithizone and Cu-dithizone from aqueous solution at 120 bar and 50 °C is greater than 90%, while the extraction rate of these complexes from aqueous solution at near-critical conditions (72 bar and 30 °C) is 95.3% for Pb and 78.80% for Cu. The change in CO2 density as a function of pressure explains the lower extraction rate at near-critical conditions.

The evaluation of the interaction nature in the formed structures of dithizone complexes is performed via the NCI surface plot and the reduced density gradient (RDG) vs. sign (λ) (Figure 2) [15,31]. The greenish-blueish coloured surface and the spikes with negative sign (λ) values in the 2D NCI plot support that the van der Waals interactions are presented in the formed complex [20,24,32]. It is evident from the NCI plot that these interactions are more strongly present in the Pb(II)/dithizone complex-which is also supported by the interaction energy of this system compared to Cu(II) ions.

Figure 2.

Figure 2

Noncovalent interaction surfaces and the plot of RDG vs. sign(λ)ρ for the van der Waals interactions among the Me(II)/dithizone complexes.

The ‘bonding’ interaction among the metal ions and the dithizone ligand is observable through the ELF analysis (Figure 3), where the low values of ELF indicate the low degree of covalency of these formed bonds [32].

Figure 3.

Figure 3

Electron localization function (ELF) analysis of the “bonding” between Me(II) ions and the S-dithizone.

This “binding” is also evident when Mayer’s bonding order analysis is applied [3335] (Table 3). The Mayer bond order splits the electron density in such a way that the degree of bonding is calculated in a simple way, where a perfectly fulfilled double bond has a value of 2, a triple bond has a value of 3, and so on [35,36]. The bond order values indicate that the interaction of the central metal ions is relatively strong compared to other types of complexes [37].

Table 3.

Mayer bond order for selected bonding atoms in the dithizone complexes.

Metal ion Bonding atoms Mayer bond order
Pb(II) Pb(1)-S(2) 0.790
Pb(1)-S(33) 0.618
Pb(1)-N(3) 0.250
Cu(II) Cu(1)-S(2) 0.820
Cu(1)-S(3) 0.808
Cu(1)-N(3) 0.491

The strength of the interaction (complexation interaction) is calculated using precise quantum chemical methods that account for solvent effects and van der Waals interactions within the system. The interaction energy of the Cu(II)/dithizone ligand is-345.41 kcal/mol, indicating stable complex formation between this ligand/metal pair (Figure 4).

Figure 4.

Figure 4

Evaluation of BDE (assessment of interaction strength of Metal/Ligand).

The sigma profile is indicative of the polarity and hydrogen bond donation or acceptance of the system. The formed complex favours solubility in a polar solvent to some extent and has a nonpolar portion (near zero) that favours CO2 extraction (Figure 5).

Figure 5.

Figure 5

Conductor-like Screening Model–COSMO-Profile.

Similarly, the interaction strength between the Pb(II) ions and dithizone is determined for the complex formed using the same methodology. The interaction strength obtained in this case was −489.89 kcal/mol, indicating that the complex formed from lead is more stable than that formed from dithizone (Figure 6).

Figure 6.

Figure 6

Evaluation of BDE (assessment of interaction strength of Metal/Ligand).

The same is true for the Pb(II)/dithizone system. The polarity and hydrogen bond donation or acceptance of the system are indicated by the sigma profile, and the complex is polar to some extent, favours solubility from a polar solvent to some extent, and has a nonpolar portion (near zero) that favours CO2 extraction (Figure 7).

Figure 7.

Figure 7

Conductor-like Screening Model–COSMO-Profile.

A molecular dynamics NPT simulation was performed under the same experimental conditions to obtain information about CO2 extraction at the molecular level. The system before a simulation is on the left, and the system after 500 ps simulation time is on the right. As seen in the images, the formed complex is surrounded by CO2 molecules, which facilitates the complex’s transition from the aqueous to the CO2 phase (Figure 8).

Figure 8.

Figure 8

MD simulation of the supercritical carbon dioxide extraction of the Cu(II)-dithizone ligand’s initial and final geometry has been obtained.

The SDC is an important parameter that defines the molecule’s mobility in the extraction media. This mobility is affected by several factors, including the density and viscosity of the extraction media, polarity, and the interaction of van der Waals with the extraction media [28]. The calculated SDC value is 0.000158913 [cm2/s].

4. Conclusion

In this study, the heavy metals Pb and Cu were extracted using CO2 as fluid under near critical and supercritical conditions. It was shown that the change in pressure and temperature had a significant effect on the extraction efficiency. The positive effect of modifier was also observed in terms of an increase in extraction rate. The extraction efficiency in percentage ranged from Pb(II) (95.3%–99.3%), and for Cu(II) (78.8%–93%) at constant pressure and temperature (30 °C, 72 bar) (50 °C, 120 bar). The values obtained in the extraction near critical conditions are lower than those obtained in the extraction under supercritical conditions. The addition of methanol and NaOH as modifiers significantly affects the growth rate of extraction. As evidenced from DFT calculations there is a strong interaction between Cu(II), Pb(II) ions and dithizone ligand. This interaction is evidenced from ELF and Laplacian bond order calculations. Furthermore, MD provides molecular insights into how the interaction of solvent molecules leads to the uptake of the complexed ions from the extracting solution’s water phase.

Acknowledgment

The authors would like to express their gratitude to the Ministry of Education, Science, and Technology of Kosovo (Nr.2-5069) for providing them with computing resources.

Footnotes

Conflict of interest

Authors declare no conflict of interest.

References

  • 1. Singh J, Kalamdhad AS. Effects of heavy metals on soil, plants, human health and aquatic life. International journal of Research in Chemistry and Environment. 2011;1(2):15–21. [Google Scholar]
  • 2. Kersch C, Woerlee GF, Witkamp GJ. Supercritical fluid extraction of heavy metals from fly ash. Industrial & engineering chemistry research. 2004;43(1):190–196. doi: 10.1021/ie030114u. [DOI] [Google Scholar]
  • 3. Ding X, Liu Q, Hou X, Fang T. Supercritical fluid extraction of metal chelate: a review. Critical Reviews in Analytical Chemistry. 2017;47(2):99–118. doi: 10.1080/10408347.2016.1225254. [DOI] [PubMed] [Google Scholar]
  • 4. Smart NG, Carleson TE, Elshani S, Wang S, Wai CM. Extraction of toxic heavy metals using supercritical fluid carbon dioxide containing organophosphorus reagents. Industrial & Engineering Chemistry Research. 1997;36(5):1819–1826. doi: 10.1021/ie960384v. [DOI] [Google Scholar]
  • 5. Lin Y, Liu C, Wu H, Yak HK, Wai CM. Supercritical fluid extraction of toxic heavy metals and uranium from acidic solutions with sulfur-containing organophosphorus reagents. Industrial & engineering chemistry research. 2003;42(7):1400–1405. doi: 10.1021/IE020804I. [DOI] [Google Scholar]
  • 6. Laintz KE, Wai CM, Yonker CR, Smith RD. Extraction of metal ions from liquid and solid materials by supercritical carbon dioxide. Analytical Chemistry. 1992;64(22):2875–2878. doi: 10.1021/ac00046a039. [DOI] [Google Scholar]
  • 7. Lin Y, Smart NG, Wai CM. Supercritical fluid extraction and chromatography of metal chelates and organometallic compounds. TrAC Trends in Analytical Chemistry. 1995;14(3):123–33. doi: 10.1016/0165-9936(95)94045-G. [DOI] [Google Scholar]
  • 8. Lin Y, Wu H, Smart NG, Wai CM. Studies on in-situ chelation/supercritical fluid extraction of lanthanides and actinides using a radiotracer technique. Separation Science and Technology. 2001;36(5–6):1149–1162. doi: 10.1081/SS-100103642. [DOI] [Google Scholar]
  • 9. Halili J, Mele A, Arbneshi T, Halili A, Mazreku I, et al. Preliminary studies for the supercritical CO2 extraction of Cu (II) And Zn (II) ions by using Dithizone as chelating agent. Fresenius Environmental Bulletin. 2015;24(12 A):4492–4495. [Google Scholar]
  • 10. Perdew JP, Burke K, Ernzerhof M. Generalized gradient approximation made simple. Physical Review Letters. 1996;77(18):3865–3868. doi: 10.1103/PhysRevLett.77.3865. [DOI] [PubMed] [Google Scholar]
  • 11. Berisha A, Combellas C, Kanoufi F, Decorse P, Oturan N, et al. Some Theoretical and experimental insights on the mechanistic routes leading to the spontaneous grafting of gold surfaces by diazonium salts. Langmuir. 2017;33(35):8730–8738. doi: 10.1021/acs.langmuir.7b01371. [DOI] [PubMed] [Google Scholar]
  • 12.Mardirossian N, Head-Gordon M. Molecular Physics. 19. Vol. 115. Taylor and Francis Ltd; 2017. Thirty years of density functional theory in computational chemistry: An overview and extensive assessment of 200 density functionals; pp. 2315–2372. [DOI] [Google Scholar]
  • 13. Grimme S. Density functional theory with London dispersion corrections. Wiley Interdisciplinary Reviews. Computational Molecular Science. 2011;1(2):211–228. doi: 10.1002/wcms.30. [DOI] [Google Scholar]
  • 14. Klamt A. The COSMO and COSMO-RS solvation models. Wiley Interdisciplinary Reviews. Computational Molecular Science. 2018;8(1):e1338. doi: 10.1002/wcms.1338. [DOI] [Google Scholar]
  • 15. Berisha A. Interactions between the aryldiazonium cations and graphene oxide: A DFT study. Journal of Chemistry. 2019 doi: 10.1155/2019/5126071. [DOI] [Google Scholar]
  • 16. Neese F. Software update: the ORCA program system, version 4.0. WIREs Computational Molecular Science. 2018;8(1):e1327. doi: 10.1002/wcms.1327. [DOI] [Google Scholar]
  • 17. Weigend F, Ahlrichs R. Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy. Physical Chemistry Chemical Physics. 2005;7(18):3297–3305. doi: 10.1039/b508541a. [DOI] [PubMed] [Google Scholar]
  • 18. Zhao Y, Truhlar DG. 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. Theoretical Chemistry Accounts. 2008;120(1–3):215–241. doi: 10.1007/s00214-007-0310-x. [DOI] [Google Scholar]
  • 19. Grimme S, Antony J, Ehrlich S, Krieg H. A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu. Journal of Chemical Physics. 2010;132(15):154104. doi: 10.1063/1.3382344. [DOI] [PubMed] [Google Scholar]
  • 20. Berisha A. The influence of the grafted aryl groups on the solvation properties of the graphyne and graphdiyne-A MD study. Open Chemistry. 2019;17(1):703–710. doi: 10.1515/chem-2019-0083. [DOI] [Google Scholar]
  • 21. Berisha A. First principles details into the grafting of aryl radicals onto the free-standing and borophene/Ag (1 1 1) surfaces. Chemical Physics. 2021:544. doi: 10.1016/j.chemphys.2021.111124. [DOI] [Google Scholar]
  • 22. Berisha A, Combellas C, Kanoufi F, Médard J, Decorse P, et al. Alkyl-Modified Gold Surfaces: Characterization of the Au-C Bond. Langmuir. 2018;34(38):11264–11271. doi: 10.1021/acs.langmuir.8b01584. [DOI] [PubMed] [Google Scholar]
  • 23. Lu T, Chen F. Multiwfn: A multifunctional wavefunction analyzer. Journal of Computational Chemistry. 2012;33(5):580–592. doi: 10.1002/jcc.22885. [DOI] [PubMed] [Google Scholar]
  • 24. Alija A, Gashi D, Plakaj R, Omaj A, Thaçi V, et al. A theoretical and experimental study of the adsorptive removal of hexavalent chromium ions using graphene oxide as an adsorbent. Open Chemistry. 2020;18(1):936–942. doi: 10.1515/chem-2020-0148. [DOI] [Google Scholar]
  • 25. Humphrey W, Dalke A, Schulten KVMD. Visual molecular dynamics. Journal of Molecular Graphics. 1996;14(1):33–38. doi: 10.1016/0263-7855(96)00018-5. [DOI] [PubMed] [Google Scholar]
  • 26. Rappé AK, Casewit CJ, Colwell KS, Goddard WA, Skiff WM. UFF, a Full Periodic Table Force Field for Molecular Mechanics and Molecular Dynamics Simulations. Journal of the American Chemical Society. 1992;114(25):10024–10035. doi: 10.1021/ja00051a040. [DOI] [Google Scholar]
  • 27. Evans DJ, Holian BL. The Nose-Hoover thermostat. The Journal of Chemical Physics. 1985;83(8):4069–4074. doi: 10.1063/1.449071. [DOI] [Google Scholar]
  • 28. Berisha A. Experimental, Monte Carlo and molecular dynamic study on corrosion inhibition of mild steel by pyridine derivatives in aqueous perchloric acid. Electrochem. 2020;1(2):188–199. doi: 10.3390/electrochem1020013. [DOI] [Google Scholar]
  • 29. Fischer H, Leopoldi G. Determination of small quantities of cadmium with dithizone. Mikrochim Acta. 1937;1:30. [Google Scholar]
  • 30. Irving H, Cooke SJH, Woodger SC, Williams RJP. 395. Studies with dithizone. Part II. Dithizone as a monobasic acid. Journal of the Chemical Society (Resumed) 1949:1847–1855. [Google Scholar]
  • 31. Berisha A. The influence of the grafted aryl groups on the solvation properties of the graphyne and graphdiyne-A MD study. Open Chemistry. 2019;17(1):703–710. doi: 10.1515/chem-2019-0083. [DOI] [Google Scholar]
  • 32. Berisha A. First principles details into the grafting of aryl radicals onto the free-standing and borophene/Ag(1 1 1) surfaces. Chemical Physics. 2021;544:111124. doi: 10.1016/j.chemphys.2021.111124. [DOI] [Google Scholar]
  • 33. Yadav LS, Yadav JS. Bond order and valence: Analogy between the mayer and the eigenvalue treatments. Journal of Molecular Structure: THEOCHEM. 1988;165(3–4):289–295. doi: 10.1016/0166-1280(88)87026-X. [DOI] [Google Scholar]
  • 34. Mayer I. Bond order and valence indices: A personal account. Journal of Computational Chemistry. 2007;28(1):204–221. doi: 10.1002/jcc.20494. [DOI] [PubMed] [Google Scholar]
  • 35.Stevenson J, Sorenson B, Subramaniam VH, Raiford J, Khlyabich PP, et al. Chemistry of Materials. 6. Vol. 29. American Chemical Society; 2017. Mayer bond order as a metric of complexation effectiveness in lead halide perovskite solutions; pp. 2435–2444. [DOI] [Google Scholar]
  • 36. Bridgeman AJ, Cavigliasso G, Ireland LR, Rothery J. The Mayer bond order as a tool in inorganic chemistry. Journal of the Chemical Society, Dalton Transactions. 2001;14:2095–2108. doi: 10.1039/b102094n. [DOI] [Google Scholar]
  • 37. Bhattacharyya A, Mohapatra M, Mohapatra PK, Gadly T, Ghosh SK, et al. An insight into the complexation of trivalent americium vis-à-vis lanthanides with Bis(1,2,4-triazinyl) bipyridine derivatives. European Journal of Inorganic Chemistry. 2017;4:820–828. doi: 10.1002/ejic.201600829. [DOI] [Google Scholar]

Articles from Turkish Journal of Chemistry are provided here courtesy of The Scientific and Technological Research Council of Turkey

RESOURCES