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Retarding mechanism of Zn2+ species in geopolymer material using Raman spectroscopy and DFT calculations | Scientific Reports

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Scientific Reports volume  12, Article number: 21036 (2022 ) Cite this article Wholesale Seal Remover

Retarding mechanism of Zn2+ species in geopolymer material using Raman spectroscopy and DFT calculations | Scientific Reports

Geopolymers are the most promising alternative to Ordinary Portland Cement for oil-well cementing and well abandonment. To that end, the slurry needs a required pumping time ensured by the addition of retarders. Although zinc has been widely known to prolong the setting time of geopolymers, its mechanism of action has yet to be fully elucidated. It is herein hypothesized that zinc ions impede the first stages of silicate oligomerization (Si–O–Al), culminating in longer setting times. Pumping time measurements showed that Zn(NO3)2 delayed the setting time by 5 h in comparison to the zinc-less sample. DFT calculations revealed Si(OH)4 to react with [Zn(OH)4]2− via a barrierless transition state, evidencing a kinetic ground for the retardation effect. Additionally, Raman spectroscopy corroborated the DFT results by showing that Q3 species in the proposed mechanism are formed more rapidly in the presence of zinc ions than in its absence.

Geopolymers are an alternative cementitious material with the potential of replacing Ordinary Portland Cement (OPC) in both construction and oil & gas applications. The applicability of this material into oil and gas has been under research in the past period since its production has a lower carbon footprint and maintains superior properties over OPC specifically in long term periods1,2,3. However, to apply such material in cementing and well abandonment operations, chemical admixtures such as retarders must be used to delay setting and guaranty a safe period for displacement into wellbores4. Geopolymer formation from solid materials is a complex, multistep process roughly comprising i) alkaline depolymerization of the poly(siloxo) framework and dissolution of aluminum ii) formation of monomers and oligomers from ortho-sialate (OH)3− Si–O–Al–(OH)3, and iii) polycondensation into higher oligomers and polymeric 3D networks5,6. Advantageously, it has been demonstrated that the degree of polymerization/depolymerization of glasses and geopolymers can be determined via Raman spectroscopy7. In essence, SiO4 species in a silica network differ from each other spectroscopically according to the number of sharing oxygen atoms. An isolated SiO4, for instance, is referred to as Q0 due to its lack of sharing oxygen. A Q1 entity denotes, in turn, a SiO4 with one sharing oxygen in the network. The reasoning extends then to Q2, Q3, and Q4 meaning two, three, and four sharing oxygen atoms, respectively. Upon contacting glass or a silica-rich mineral with an alkaline environment it is expected that the amount of Q0–Q3 species increase with time due to silica depolymerization, a phenomenon that can be tracked since each Qn species appear at distinct frequencies in the Raman spectrum7,8,9.

Zinc (Zn2+) species, as a retarder, have been under study where its mechanistic and kinetic aspects have been taken into consideration10,11,12,13. Zinc oxide (ZnO), for instance, is thought to dissolve into Zn2+ which prolongs the setting time by sequestering calcium ions (Ca2+) and forming calcium zincate [Ca(Zn(OH)3)2.2H2O]11. This is also the conclusion reached by Cong et al.14, who only speculated that Zn2+ could have had an effect on the condensation polymerization. The possibility of Zn2+ playing a role in the early stages of the geopolymerization should not be overlooked. Zeng et al.15 demonstrated the synthesis of a coagulant based on poly-zinc-silicate to yield a complex compound with mainly zinc-silicon polymeric species rather than a simple mixture of raw materials. Upon studying the impact of Zn2+ and lead (Pb+2) ions on OPC, Oretgo et al.16 discovered Zn2+ ions to retard the silicate polymerization. The authors demonstrated, via NMR, a high proportion of Q0 and Q1 species after curing OCP with Zn2+ ions, implying a low degree of polymerization of SiO4 units.

The present study intends to shed light on the mechanism via which Zn2+ retards the geopolymerization reaction. The insight of this work resides in regarding the Zn2+, in the form of [Zn(OH)4]2− due to the high pH, as a reactant that is inserted into monomers and oligomers to hamper momentarily the progression of the reaction. Density Functional Theory (DFT) calculations revealed that SiO4 reacts more quickly with [Zn(OH)4]2− via a step with a barrierless transition state, meaning that the reaction between Si(OH)4 and [Zn(OH)4]2− is kinetically more feasible in comparison to that between Si(OH)4 and Al[(OH)4]−. Raman results revealed that the presence of Zn2+ led to a higher rate of initial depolymerization of the poly(siloxo) framework, which supports the DFT proposition.

The impact of retardation phenomena in geopolymer material can be initially observed through pumping time measurements as described in previous studies by Chamssine et al.1,4,17. The retardation phenomenon can be observed through consistency measurements of slurries that show the behavior of material under different conditions. In this case, pumpability into an oil & gas well. The pumping time of the granite-based geopolymer slurries Geo-0%Zn and Geo-1%Zn is presented in Fig. 1. It can be observed that the addition of Zn2+ species (Geo-1%Zn) delays the pumping time by around 5 h in comparison to the neat sample (Geo-0%Zn), which reached its maximum after around 1 h. It can be perceived that the oligomerization phase was highly extended due to the presence of Zn2+ species. A poisoning phenomenon of the reaction can be concluded from Fig. 1, where the oligomerization and polycondensation phase was also affected. Previously, different reasonings have been given to explain behavior of Zn2+ in silica-rich geopolymer systems. Wang et al.10 analyzed the role of ZnO on metakaolin based geopolymer material. They concluded that the presence of ZnO have created metastable “Na/K-Zn” phase materials (Na+ and K+ sourced from the alkali activator), which have a prolonging effect on setting time. Their study also included the investigation of Q4(3Al) and Q4(4Al) sites using NMR spectra. A decrease in the Si/Al ratio was observed due to the increase in number of Q4(4Al) sites. It has been foreseen that not only Q4 sites to be affected, but rather also the possibility of having a deviation in Q3 sites’ development, which can as well be sites to investigate while the reaction is developing18.

Effect of Zn2+ species on pumping time of granite-based geopolymer—oligomerization and polycondensation phases highlighted for Geo-1%Zn.

The calculated Gibbs free energy of reaction (ΔrG) for fifteen dehydration reactions involving the Si(OH)4, [Al(OH4)]−, [Zn(OH3)]−, and [Zn(OH4)]2− monomers (and also some oligomers) are presented in Table 1. The condensation reaction (reaction 1) between Si(OH)4 and [Al(OH4)]− monomers is exergonic by 11.0 kcal mol−1. Besides, condensation reactions to yield the (OH)2Al–(O–Si(OH)3)2, (OH)Al–(O–Si(OH)3)3, and Al–(O–Si(OH)3)4 oligomers are exergonic by 20.4, 30.5, and 38.7 kcal mol−1, respectively (reactions 2–4 in Table 1). These results suggest that the formation of the Al–O–Si linkage at the [(OH)3Al–O–Si(OH)3]− (ortho-sialate) and oligomers species, which is the driving force of the reaction, is in line with the explanation previously given that the geopolymerization mechanism must occur through the condensation of oligomers19.

The calculations also predict the formation of the Zn–O–Si linkage which is favorable in terms of the Gibbs energy. Condensation reactions from the [Zn(OH3)]− and [Zn(OH4)]2− species are all exergonic (reactions 5–9), suggesting that Zn–O–Si units can be incorporated into the polymeric framework. However, the dehydration reactions without the condensation of the reactant species are only favorable for reactions involving the [Zn(OH4)]2− specie (reactions 10–15). Indeed, the reactions 12 and 15 are computed to be exergonic by 13.3 and 3.8 kcal mol−1. Figure 2 depicts the Gibbs energy profiles and the relevant optimized structures calculated for the [Al(OH4)] −  + Si(OH)4, [Zn(OH3)] −  + Si(OH)4, and [Zn(OH4)]2−  + Si(OH)4 reactions. In our model, the condensation reactions from the [Al(OH4)]− and [Zn(OH3)]− anionic species are described by mechanism analogous. The reactants are linked to each other by the attraction between hydrogens from the Si(OH)4 specie and OH groups from the ionic specie, [Al(OH4)]− or [Zn(OH3)]−. Then, the two reactants condense to form the [(OH)3Al–O–Si(OH)3]− and [(OH)2Zn–O–Si(OH)3]− species, respectively, with concomitant to release the H2O molecule. Based on Fig. 2, it should be pointed out that the [Al(OH4)]−  + Si(OH)4 and [Zn(OH3)]−  + Si(OH)4 reactions proceed through a transition state (TS) located at 16.4 and 2.1 kcal mol−1 above the reactants’ energy, respectively. The origin of the difference between these reaction barriers can be attributed to steric hindrance at the TS structures. As shown in Fig. 2, the TS of the reaction with the [Al(OH4)]− specie involves a greater geometrical deformation when compared to the TS of the reaction with [Zn(OH3)]−.

Left: Gibbs energy profiles calculated at the ωB97X-D/6–311 + G(3df.2p)//6–31 + G(d.p) method for the [Al(OH)4]−  + Si(OH)4. [Zn(OH)3]−  + Si(OH)4. and [Zn(OH)4]2−  + Si(OH)4 reactions. The Gibbs energy values (in kcal mol−) for each reaction profile are relative to the reactants (Reac). Structures of the transition states (TS) and intermediate (Int) calculated at the ωB97X-D/6–31 + G(d.p) level of theory. Some relevant bond distances (in Å) are included in the structures.

On the contrary to what is computed for the Si(OH)4 + [Al(OH4)]−/[Zn(OH3)]− reactions, the mechanism of the reaction between [Zn(OH4)]2− and Si(OH)4 species is predicted to proceed by the initial formation of the [Zn(OH3)(OH2)…OSi(OH)3]2− intermediate (Int). The formation of the Int occurs virtually barrierless, where the Si(OH)4 specie undergoes a hydrogen abstraction process by the OH group from the [Zn(OH4)]2− (Fig. 2). Then, the Int can either condense to form the [(OH)4Zn–O–Si(OH)3]2−  + H2O products or fragment to yield the [Zn(OH)3]−  + [SiO(OH)3]−  + H2O products. According to our calculations, the reactions involving the [Zn(OH4)]2− anions are kinetically and thermodynamically more feasible than that reaction with other anions.

Raman spectroscopy has proven to be a valuable tool in the study of geopolymers8,9. An advantageous feature is that their Raman spectra can be compared with those of SiO4 glasses7. SiO4 glass creation relies on the condensation of isolated SiO4 tetrahedra (referred to as Q0) by linking to each other via sharing one to four oxygen atoms (Q1–Q4). Since differently bonded tetrahedra have distinct Raman signatures in the range of 1000 cm−1–1100 cm−1, variations in that region may be used to track the SiO4 depolymerization required for geopolymer formation7. Interestingly, the computational chemistry results in Fig. 2 hints to the formation of Q3 species via a barrierless TS that appears only in the presence of Zn2+. It is then conceivable that Zn2+ would lead to a higher rate of Q3 formation in geopolymers when compared to their no Zn counterparts (CNT-0%Zn), which would support the mechanism determined by computational chemistry. This hypothesis has been verified by means of Raman spectroscopy with results shown in Fig. 3. Typical bands of quartz (silica flour) are probed at initial stages of geopolymerization (without Zn2+ at this point): 207 cm−1 (Si–O-Si bond twisting), 355 cm−1 (SiO4 bending), and 456 cm−1 (bending of O-Si–O)20, which tend to vanish due to quartz consumption. Vibrations at 712 cm−1, 1345 cm−1, and 1361 cm−1 refer to CO3−2 in calcite as a consequence of natural carbonation21, which is known to take place in cementitious materials such as OPC22. Regarding geopolymers, the reaction between CO2 from the air and OH− produces Ca and sodium (Na) carbonates23,24. It is important to notice that the bands assigned to carbonate display no clear tendency over time, which is expected given that the variable amount of CO2 in the atmosphere leads to an uncontrolled carbonation process. The most important feature of Fig. 3A is the sharp peak at 1051 cm−1 related to a Si–O- vibration with O− denoting a non-bridging oxygen within a Q3 species8,25. Another important characteristic is that the Q3 band initially increases with time (up to 150 min), meaning that OH− attacks the Si network to produce increasing amounts of unbounded oxygen. It is important to emphasize that the increase in intensity of the peak at 1051 cm−1 is not a result of any artifact since; i) the time of laser illumination and laser potency were the same for all samples (ruling out intensity variation due to heating effects), ii) the illuminated spot of the sample was always the same (same area probed), and iii) there is no contribution of carbonation in the wavenumber region of interest25. Upon addition of 1% of Zn to the mixture (Fig. 3B), the respective overlaying Raman spectrum in Fig. 3C reveals a clear shift towards lower frequencies (now centered at 1048 cm−1) as a consequence of weakened Si–O force due to charge transfer from Zn(OH)42− to SiO4. The negative charge transferred to tetrahedra accumulates preferentially on Si atoms leading to a decrease in the Si–O coulombic interaction26. When comparing Q3 peaks, Fig. 4 clearly attests that the addition of 1% of Zn culminates in a higher rate of Q3 formation. The slopes of the straight lines from t = 0 to t = 150 min are 23.75 and 37.97 for mixtures without and with Zn2+, respectively. Both curves reach the steady state at 150 min, a situation in which the rate of Q3 formation is counterbalanced by the emergence of oligomers and subsequently geopolymer.

(A) Raman spectra of CNT-0%Zn; (B) Raman spectra of CNT-0%Zn; (C) Overlay of Raman spectra from geopolymer pastes having CNT-0%Zn and CNT-1%Zn (t = 10 min).

Q3 band intensity as a function of time for geopolymer pastes CNT-0%Zn & CNT-1%Zn.

A granite-based aluminosilicate-rich solid precursor has been used to exemplify the retardation effect of Zn2+. The precursor was designed with a low Ca content composition (< 10 wt.%) as presented in Table 2. A potassium silicate solution with molar ratio of 2.21 was used as an activating hardener. Zinc nitrate hexahydrate (Zn(NO3)20.6H2O) was used as the source of Zn2+ species. The mix design of slurries is presented in Table 3.

In this study, a controlled system has been constructed using pure components that can replace certain compositions from the original granite-based precursor (presented in Table 2). The components have a purity of over 90%. The composition of the solid phase of the controlled system (CNT) is presented in Table 4, and list of chemical replacements used is presented in Table 5. The purpose behind using such a system is to isolate complex minerals and create a controlled system where the reaction progression can be monitored throughout time. Zn2+ species, in the form of Zn(NO3)20.6H2O, were also used to mimic retardation with a similar 1 wt% as in the original mix design. In order to accurately mimic the designated components’ behavior, the number of molecules of Si, Al, Fe, Ca, Mg, Na, and K was calculated and implemented with the proposed chemical replacements27 (Table 5).

Two samples were developed, CNT-0%Zn & CNT-1%Zn, where the former contains no Zn2+ species while the latter contains 1wt% of Zn. The composition of CNT-0%Zn & CNT-1%Zn solid phases are mentioned in Table 6, while the total mix designs are presented in Table 7. The alkaline hardener phase, a 4 M potassium hydroxide (KOH) solution, was produced with KOH laboratory grade pellets and distilled water. The use of KOH in this system was implemented to avoid polycondensation and coagulants where it can start to form instantly after introduction of potassium silicate solution to the solid phase with free Ca2+ species. This phenomenon was reported in a study by Nachbaur et al.28 where authors examined the electrokinetic properties which interfere with the suspension of silicates in early age hydration. They concluded that the presence of high Ca content in the composition can cause coagulation of Ca3SiO5 particles due to the low zeta potential under these conditions.

Samples were prepared by dry mixing of the solid components first followed by the addition of alkaline solution (4 M KOH). The solid-to-liquid ratio was around 2.0 (Table 7). Initially, hand mixing was applied for 2 min (mins), then the apparatus was moved to a Hamilton Beach mixer with a single spindle for 60 s. The material had a honey-like consistency at the end of mixing.

An OFITE HPHT consistometer (Model 2040) was used to examine the pumping and setting time at a BHCT of 50 °C and pressure of 2000 psi. The standard for pumping time was set from the starting point until 40 BC while setting time was from 40 to 100 Bc following API RP 10-B2 recommendations29. This test was performed only on granite-based geopolymer slurry.

Geopolymer paste, of the controlled system samples (CNT), was analyzed using Raman Spectroscopy. Spectra from 400 to 4000 cm−1 were examined using a LabRAM HR Evolution using a 532 nm diode laser operating at 25 mW. Spectra were collected at 30 min time interval. Freshly mixed geopolymer paste was analyzed at time (t) 0 and transported to a nearby oven operating at 50 °C. Thus, maintaining the reaction temperature like the one in the consistometer.

Density functional theory (DFT) calculations were performed to support the experimental evidence of the retardation effect of Zn2+ in the geopolymerization reaction following the method presented by Yang et al.30. For such, dehydration reactions between the Si(OH)4 and [Al(OH)4]−, [Zn(OH)3]− and [Zn(OH)4]2− species were used to model the formation of the Al–O–Si and Zn–O–Si bonds31. In our model, Si, Al, and Zn are coordinated by hydroxides, which is consistent with the high alkaline condition (pH around 13.0 to 13.5) used in the experimental setup32. In this range of pH, there is an equilibrium between [Zn(OH)3]− and [Zn(OH)4]2− anionic species. Figure 5 presents two types of dehydration reactions considered in this study:

Dehydration reactions (A) with and (B) without condensation of the reactant species.

First, structure predictions of the reactants and products were performed with the conformer-rotamer ensemble sampling tool of the xtb software33,34. To globally explore conformers, the GFN2-xTB method was used in the framework of meta-dynamics35,36. Secondly, the minimum-energy conformers were chosen as guess structures for calculations of geometry optimizations with the ωB97X-D/6-311 + G(3df.2p)//6-31 + G(d.p) level of theory. The structures were optimized at the ωB97X-D/6-31 + G(d.p) level of theory, and single-point calculations were performed at the ωB97X-D/6-311 + G(3df.2p) on these structures. All calculations were performed with an implicit solvent (water) using the polarizable continuum model. The ωB97X-D functional has presented a good performance in the description of structural kinetics and thermochemical properties37,38. The Gaussian 16 software package was used for all DFT calculations39.

The datasets generated during the current study are available from the corresponding author upon request.

Chamssine, F., Khalifeh, M., Eid, E., Minde, M. W. & Saasen, A. in ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering.

Khalifeh, M., Saasen, A., Hodne, H. & Motra, H. B. Laboratory evaluation of rock-based geopolymers for zonal isolation and permanent P&A applications. J. Pet. Sci. Eng. 175, 352–362 (2019). https://doi.org/10.1016/j.petrol.2018.12.065

Khalifeh, M., Motra, H. B., Saasen, A. & Hodne, H. in International Conference on Offshore Mechanics and Arctic Engineering. V008T011A037 (American Society of Mechanical Engineers).

Chamssine, F., Khalifeh, M. & Saasen, A. Effect of Zn2+ and K+ as retarding agents on rock-based geopolymers for downhole cementing operations. J. Energy Resour. Technol. 144 (2022). https://doi.org/10.1115/1.4053710

Garcia-Lodeiro, I., Palomo, A. & Fernández-Jiménez, A. in Handbook of Alkali-Activated Cements, Mortars and Concretes (eds F. Pacheco-Torgal et al.) 19–47 (Woodhead Publishing, 2015).

Khale, D. & Chaudhary, R. Mechanism of geopolymerization and factors influencing its development: A review. J. Mater. Sci. 42, 729–746 (2007). https://doi.org/10.1007/s10853-006-0401-4

Wetzel, A., Umbach, C., Fehling, E. & Middendorf, B. Multifunctional prefabricated walls made of UHPC and foam concrete. Insights Innov. Struct. Eng. Mech. Comput 86, 143–148 (2016).

Kosor, T., Nakić-Alfirević, B. & Gajović, A. Geopolymerization index of fly ash geopolymers. Vib. Spectrosc. 85, 104–111 (2016).

Böke, N., Birch, G. D., Nyale, S. M. & Petrik, L. F. New synthesis method for the production of coal fly ash-based foamed geopolymers. Constr. Build. Mater. 75, 189–199 (2015).

Wang, L. et al. The role of zinc in metakaolin-based geopolymers. Cem. Concr. Res. 136, 106194 (2020).

Garg, N. & White, C. E. Mechanism of zinc oxide retardation in alkali-activated materials: an in situ X-ray pair distribution function investigation. J. Mater. Chem. A 5, 11794–11804 (2017).

Alex, T. C. et al. Utilization of zinc slag through geopolymerization: Influence of milling atmosphere. Int. J. Mineral Process. 123, 102–107 (2013). https://doi.org/10.1016/j.minpro.2013.06.001

Tommaseo, C. & Kersten, M. Aqueous solubility diagrams for cementitious waste stabilization systems. 3. Mechanism of zinc immobilizaton by calcium silicate hydrate. Environ. Sci. Technol. 36, 2919–2925 (2002).

Cong, X., Zhou, W., Geng, X. & Elchalakani, M. Low field NMR relaxation as a probe to study the effect of activators and retarders on the alkali-activated GGBFS setting process. Cem. Concr. Composites 104, 103399 (2019). https://doi.org/10.1016/j.cemconcomp.2019.103399

Zeng, Y. & Park, J. Characterization and coagulation performance of a novel inorganic polymer coagulant—Poly-zinc-silicate-sulfate. Colloids Surf. A Physicochem. Eng. Asp. 334, 147–154 (2009). https://doi.org/10.1016/j.colsurfa.2008.10.009

Ortego, J. D., Barroeta, Y., Cartledge, F. K. & Akhter, H. Leaching effects on silicate polymerization. An FTIR and silicon-29 NMR study of lead and zinc in portland cement. Environ. Sci. Technol. 25, 1171–1174 (1991). https://doi.org/10.1021/es00018a024

Chamssine, F., Gargari, P. & Khalifeh, M. in Offshore Technology Conference.

Rees, C. A., Provis, J. L., Lukey, G. C. & Van Deventer, J. S. In situ ATR-FTIR study of the early stages of fly ash geopolymer gel formation. Langmuir 23, 9076–9082 (2007).

North, M. R. & Swaddle, T. W. Kinetics of silicate exchange in alkaline aluminosilicate solutions. Inorg. Chem. 39, 2661–2665 (2000).

Morana, M., Mihailova, B., Angel, R. J. & Alvaro, M. Quartz metastability at high pressure: What new can we learn from polarized Raman spectroscopy?. Phys. Chem. Miner. 47, 1–9 (2020).

Sun, J., Wu, Z., Cheng, H., Zhang, Z. & Frost, R. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 117, 158 (2014)

Glasser, F. P., Marchand, J. & Samson, E. Durability of concrete—Degradation phenomena involving detrimental chemical reactions. Cem. Concr. Res. 38, 226–246 (2008).

Palacios, M. & Puertas, F. Effect of carbonation on alkali-activated slag paste. J. Am. Ceram. Soc. 89, 3211–3221 (2006).

Bernal, S. A., De Gutierrez, R. M., Provis, J. L. & Rose, V. Effect of silicate modulus and metakaolin incorporation on the carbonation of alkali silicate-activated slags. Cem. Concr. Res. 40, 898–907 (2010).

Rtischerl, C., Mielcarekl, E., Wongpaz, J. & Lutz, F. J. W. New insights on geopolymerisation using molybdate, Raman, and infrared spectroscopy. Strategic Mater. Comput. Des. 31(10), 17 (2010).

Nesbitt, H. W., O’Shaughnessy, C., Henderson, G. S., Bancroft, G. M. & Neuville, D. R. Factors affecting line shapes and intensities of Q3 and Q4 Raman bands of Cs silicate glasses. Chem. Geol. 505, 1–11 (2019).

Article  CAS  ADS  Google Scholar 

Oriakhi, C. O. & Oriakhi, C. O. in Chemistry in Quantitative Language: Fundamentals of General Chemistry Calculations 0 (Oxford University Press, 2009).

Nachbaur, L., Nkinamubanzi, P.-C., Nonat, A. & Mutin, J.-C. Electrokinetic properties which control the coagulation of silicate cement suspensions during early age hydration. J. Colloid Interface Sci. 202, 261–268 (1998).

Article  CAS  ADS  Google Scholar 

API, R. 10B-2. Recommended Practice for Testing Well Cements (2018).

Yang, R., Ren, X. & Sun, M. Optical spectra of bilayer borophene synthesized on Ag(111) film. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 282, 121711 (2022). https://doi.org/10.1016/j.saa.2022.121711

Weng, L. & Sagoe-Crentsil, K. Dissolution processes, hydrolysis and condensation reactions during geopolymer synthesis: Part I—Low Si/Al ratio systems. J. Mater. Sci. 42, 2997–3006 (2007).

Article  CAS  ADS  Google Scholar 

Mesmer, R. E. & Baes, C. F. Jr. Hydrolysis of beryllium (II) in m sodium chloride. Inorg. Chem. 6, 1951–1960 (1967).

Pracht, P., Bohle, F. & Grimme, S. Automated exploration of the low-energy chemical space with fast quantum chemical methods. Phys. Chem. Chem. Phys. 22, 7169–7192 (2020).

Bannwarth, C. et al. Extended tight-binding quantum chemistry methods. Wiley Interdiscip. Rev. Comput. Mol. Sci. 11, e1493 (2021).

Bannwarth, C., Ehlert, S., Grimme, S. & Tight-Binding, B.P.S.-C. Quantum chemical method with multipole electrostatics and density-dependent dispersion contributions. J. Chem. Theory Comput. 15, 1652–1671 (2019).

Grimme, S. Conformer-rotamer ensemble sampling tool (CREST). J. Chem. Theor. Comput 15, 2847–2862 (2019).

Chai, J.-D. & Head-Gordon, M. Long-range corrected hybrid density functionals with damped atom–atom dispersion corrections. Phys. Chem. Chem. Phys. 10, 6615–6620 (2008).

Verma, P. & Truhlar, D. G. Status and challenges of density functional theory. Trends Chem. 2, 302–318 (2020).

Frisch, M. e. et al. (Gaussian, Inc. Wallingford, CT, 2016).

The authors gratefully acknowledge TotalEnergies, AkerBP, ConocoPhillips and Research Council of Norway for financially supporting the SafeRock KPN Project (RCN #319014) at the University of Stavanger, Norway. The authors acknowledge the technical support provided by the IQ/UFRN Analytical Center and by the High-Performance Computing Center at UFRN (NPAD/UFRN).

Department of Energy and Petroleum Engineering, Faculty of Science and Technology, University of Stavanger, 4036, Stavanger, Norway

Fawzi Chamssine & Mahmoud Khalifah

Federal University of Rio Grande do Norte, UFRN, Natal, 59078-970, Brazil

Luiz HS Gasparotto, Miguel Angelo Fonsecade Souza & Julio Cezar de Oliveira Freitas

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F.C.: conceptualization, methodology, investigation, data curation, writing—original draft preparation, writing-reviewing and editing. L.H.S.G.: methodology, investigation, data curation, writing-original draft preparation, writing—reviewing and editing, supervision. M.A.F.deS.: data modeling, data curation, writing-draft preparation, writing—reviewing and editing. M.K.: conceptualization, methodology, writing—reviewing and editing, resources, supervision, project administration, funding acquisition. J.C.deO.F.: methodology, writing—reviewing and editing, resources, supervision.

The authors declare no competing interests.

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Chamssine, F., Gasparotto, L.H.S., Souza, M.A.F. et al. Retarding mechanism of Zn2+ species in geopolymer material using Raman spectroscopy and DFT calculations. Sci Rep 12, 21036 (2022). https://doi.org/10.1038/s41598-022-25552-0

DOI: https://doi.org/10.1038/s41598-022-25552-0

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