International Conference on Gas Hydrates (ICGH) (6th : 2008)

DYNAMIC LIFETIMES OF CAGELIKE WATER CLUSTERS IMMERSED IN LIQUID WATER AND THEIR IMPLICATIONS FOR HYDRATE… Guo, Guang-Jun; Zhang, Yi-Gang; Li, Meng; Wu, Chang-Hua Jul 31, 2008

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Proceedings of the 6th International Conference on Gas Hydrates (ICGH 2008), Vancouver, British Columbia, CANADA, July 6-10, 2008.  DYNAMIC LIFETIMES OF CAGELIKE WATER CLUSTERS IMMERSED IN LIQUID WATER AND THEIR IMPLICATIONS FOR HYDRATE NUCLEATION STUDIES Guang-Jun Guo∗, Yi-Gang Zhang, Meng Li, and Chang-Hua Wu Key Laboratory of the Study of Earth’s Deep Interior Institute of Geology and Geophysics Chinese Academy of Sciences, Beijing 100029 PEOPLE’S REPUBLIC OF CHINA ABSTRACT Recently, by performing molecular dynamics simulations in the methane-water system, we have measured the static lifetimes of cagelike water clusters (CLWC) immersed in bulk liquid water, during which the member-water molecules of CLWCs are not allowed to exchange with their surrounding water molecules [J. Phys. Chem. C, 2007, 111, 2595]. In this study, we measure the dynamic lifetimes of CLWCs with permitting such water exchanges. It is found that the dynamic lifetimes of CLWCs are not less than the static lifetimes previously obtained, and their ratio increases with the lifetime values. The results strengthen that CLWCs are metastable structures in liquid water and the occurrence probability of long-lived CLWCs will increase if one uses the dynamic lifetimes instead of the static lifetimes. The implications of this study for hydrate nucleation are discussed. Keywords: cagelike water cluster, dynamic lifetime, hydrate nucleation INTRODUCTION The hydrate nucleation mechanism is still an unsolved question in the hydrate research fields [1]. Several conceptual pictures of hydrate nucleation have been summarized as the labile cluster nucleation hypothesis [2-3], the nucleation at the interface hypothesis [4-5], and the local structuring nucleation hypothesis [6-7]. Recently, we propose a different model that gas molecules can aggregate through a cagelike water cluster (CLWC) adsorbing dissolved gas molecules around it  a possible step favoring hydrate nucleation [8], and predict that the face-saturated incomplete cages have the potential to act as the precursors of hydrate nucleus [9]. The model is mainly based on the lifetime studies of CLWCs by performing molecular dynamics simulations [8, 10-11]. We find the CLWCs ∗  immersed in liquid water are metastable structures and their lifetimes obey the lognormal distribution. The CLWC lifetimes increase with lowering temperature and increasing the number of adsorbed methane molecules. The shape and the H-bond topology of CLWCs almost do not affect their lifetimes. Additionally, the CLWC filled with a methane molecule survives longer than the empty CLWC. However, when we measure the CLWC lifetimes, the member-water molecules of CLWC are not allowed to exchange with the surrounding water molecules. Therefore, the lifetimes are measured just for the static CLWC. The case deviates from the real situations more or less because the member-water and the neighbor-water of CLWC are in fact identical and can exchange their positions each other. If a CLWC exchanges  Corresponding author: Phone & Fax: +86 10 82998369 E-mail: guogj@mail.igcas.ac.cn  several member-water molecules with equal amount of neighbor-water molecules, the initial static CLWC breaks down but the updated dynamic CLWC still exists. In this study, we measure the lifetimes of such dynamic CLWCs. METHODS We first briefly describe the procedures to measure the CLWC lifetime used previously [10]. A rigid CLWC prepared in advance is immersed in bulk liquid water, and then the system is equilibrated for a period during which the CLWC can move as a whole while keeping the relative positions of member-water fixed. When we begin to measure its lifetime, the CLWC in the last configuration of the equilibrium stage is relaxed and its memberwater molecules can move freely. We use the Lindemann index (δ) to monitor the evolution of the CLWC, and its lifetime (τ) is measured as the time when the δ value reaches 0.07. The δ is calculated by N  r2 − r 2 ij  ij δ= ∑ 2 N ( N − 1) i < j  rij   2       1/ 2  (1)  where rij is the distance between oxygen atoms in the ith and the jth water molecules, 〈 〉 represents a time average, and the sum runs over all N member-water molecules of the CLWC. The Lindemann index reflects the relative root-meansquare fluctuations of interparticle distances, which can show the structural change of the CLWC sensitively. The deformation of CLWC, that is the deviation of member-water molecules from their original equilibrium positions, will cause the δ value to increase with time. When δ reaches 0.07, the deformation of CLWC is large enough to cause the CLWC breakdown (see Figure 2 in Reference [10]). Because we always regard the CLWC as being composed of the initial N member-water molecules, the CLWC is actually static in component. Correspondingly, we denoted the Lindemann index of the static CLWC as δs and its static lifetime as τs. In order to monitor a dynamic CLWC in this study, we first built two lists of water molecules  one was for its N member-water and the other was for its M neighbor-water. In each time step, we first calculated a usual δ value, and then we let every member-water to exchange with every neighbor-  water one by one and calculated a temporary δ value for each exchange operation. The N × M temporary δ values plus the usual δ value were compared together to find the minimum δ value. Subsequently, the exchange operation corresponding to the minimum δ value was accepted to update the member-water list and the neighborwater list. Thus, the records of the member-water list reflect a dynamic CLWC with time. It can be imagined that the dynamic CLWC attempts to maintain its initial structure as possible as it can. We denoted the Lindemann index of the dynamic CLWC as δd and its dynamic lifetime as τd. Obviously, the δd should be not more than the δs, and the τd should be not less than the τs. Each exchange between member-water and neighborwater reduces the anticipated structural deformation of CLWC so as to prolong the lifetime of CLWC. In this study, by re-analyzing the previous simulation data that were used to study the effect of methane adsorption on the static lifetimes of a dodecahedral water cluster (DWC), we calculated the dynamic lifetimes of the DWC. Totally, we studied seven systems M1 ~ M13 containing 1240 water molecules, 1 DWC, and 1 ~ 13 methane molecules. In each system, the DWC was always filled with a methane molecule, and adsorbed other methane on its different faces. The DWC contained 20 member-water molecules, and was surrounded with 22 ~ 33 neighbor-water molecules on average, which were separated from the DWC center within 7.26 Å  the distance corresponding to the first minimum of the RDF between the encaged methane in the rigid DWC and the oxygen of bulk water (see Figure 1 in Reference [8]). The lifetime measurements in each system were repeated 200 times to obtain good statistics. Other simulation details were described in our previous work [8]. RESULTS AND DISCUSSION The dynamic lifetimes (τd) of DWC are listed in Table 1 together with the static lifetimes (τs). One can see, the τd is indeed not less than the τs as expected, and increases with the number of adsorbed methane (NM), similar to the previous results [8]. However, from the system M1 to the system M13, the ratio of τd /τs is not a constant value but increases with the DWC lifetime (Figure 1). This phenomenon can be explained by that the  longer the DWC survives, the more opportunities of exchanging water molecules can occur between the DWC and its surroundings (see the numbers of times of water exchange, etotal and efinal, in Table 1),  and that the more stable the DWC is, the more efficiently each water exchange can prolong the DWC lifetime (see the τe in Table 1).  Table 1. Results of lifetime measurements of DWC in different systems*  System  M1  M3  M5  M7  M9  M11  M13  NM  0  2  4  6  8  10  12  8.2 ± 0.2  12.1 ± 0.4  17.5 ± 0.6  28.7 ± 1.0  τs (ps)  49.8 ± 1.9 118.4 ± 4.8  314.1 ± 13.7  τd (ps) 8.3 ± 0.2 12.3 ± 0.4 17.7 ± 0.6 29.8 ± 1.0 52.5 ± 1.9 128.1 ± 5.2 341.8 ± 14.3 τd /τs 1.00 ± 0.00 1.02 ± 0.01 1.01 ± 0.00 1.05 ± 0.01 1.06 ± 0.01 1.12 ± 0.03 1.12 ± 0.02 etotal  0.6 ± 0.1  efinal  0.08 ± 0.02  τe (ps)  0.0 ± 0.0  0.9 ± 0.1  2.1 ± 0.3  3.8 ± 0.4  8.5 ± 0.7  26.0 ± 1.8  0.21 ± 0.03 0.24 ± 0.03 0.42 ± 0.05 0.61 ± 0.05 1.06 ± 0.08 0.1 ± 0.1  0.2 ± 0.1  1.0 ± 0.3  2.0 ± 0.4  5.0 ± 0.7  83.1 ± 4.8 2.03 ± 0.11 13.1 ± 1.6  * In the first column, NM is the number of adsorbed methane molecules on the DWC faces. τs and τd are the static and dynamic lifetimes, respectively. etotal is the total number of times of water exchange occurring before the DWC breakdown and efinal is the number of times of apparent exchange counted by comparing the final member-water to the initial member-water site by site. τe is the prolonged lifetime per apparent exchange, calculated by τe = (τd − τs) / efinal. Numbers before and after ± are average values and standard errors, respectively, calculated from 200 independent measurements. 0.14  1.16  0.10  1.12  τs  0.08  1.08  δd  δ  τd / τs  δs  0.12  0.06  1.04  τd  0.04 0.02  1.00 0  2  4  6  NM  8  10  12  Figure 1. The ratio of τd /τs as a function of NM.  By checking the records of the member-water list or simply comparing the δd and δs curves in a run, one can easily observe the water exchanges in the DWC. Figures 2 and 3 show a typical example among these water exchanges. Generally, a water exchange can occur in either of two manners. One is sudden, meaning that a member-water and a neighbor-water exchange their positions straightforwardly and almost do not re-exchange back. The other is gradual, meaning that a member-water and a neighbor-water compete for a  0.00  0  50  100  150  200  250  300  Time (ps)  Figure 2. The evolution of δ, taking from a run in the system M11. The dashed line is the lifetime criterion of CLWC, i.e., δ = 0.07. vertex position of DWC continuously until a stable exchange between them accomplishes or fails completely. For the later, many times of exchanges, such as 15 or more, can be observed in the records of the member-water list while only few times of exchanges, such as 1 ~ 5, for the former exchange manner. Certainly, the member-water can leave the DWC for a while and enter back again but not occupying its initial position. In this case, two apparent exchanges are expected.  Recently, through studying the NMR spectrum of aqueous methane, Dec et al. [12] measure the hydrate number of aqueous methane as 20, and infer that the hydration shell of methane is dynamic and water molecules might continuously enter and leave the hydration sphere, which corresponds to the famous concept of “the labile cluster” proposed by Sloan et al. [1-3]. Here, we provide an unambiguous evidence (Figure 3) to support the dynamic feature of the concept. The evidence also agrees with Nada’s observation that the surface cages of methane hydrate are dynamic (see Figure 2b in Reference [13]).  Figure 3. A snapshot taken from the run in Figure 2 at 92 ps. At the beginning, the yellow balls are the oxygen atoms of member-water of DWC, the red the oxygen of bulk water, the white the hydrogen, and the green the methane. The yellow dash lines mean the H-bonds. The figure shows a member-water and a neighbor-water of DWC have exchanged their positions each other. Other bulk water molecules are omitted for clarity. In this study, the CLWC lifetimes are always limited even if we have considered the dynamic feature of CLWC. The fact reinforces our previous conclusion that the CLWC is a metastable structure [8]. Because the CLWC disturbs the Hbond topology network of bulk liquid water, its collapse should be a collective response to the surroundings. The present results also show that the occurrence probability of long-lived CLWCs will increase if one uses τd instead of τs. Although the water exchanges prolong the τs less than 12% on average (Table 1), they can actually prolong the τs up to 4.7 times in some individual measurements. Obviously, the longer a CLWC lives, the more opportunities it will has to adsorb  the dissolved methane molecules around it, thus favoring hydrate nucleation. In previous work [8], we have discussed that such a CLWC-methane aggregation is an autocatalytic process because the CLWC lifetime increases with the NM (Table 1). In other words, the larger NM, the more stable the CLWC, and thus the CLWC can exist longer time in liquid water waiting to adsorb another methane so as to prolong its lifetime again. Can the CLWCmethane aggregation further develop toward a critical nucleus of methane hydrate? If yes, how does it? More efforts are expected to answer these questions in the future. CONCLUSIONS As an extension of the previous study on the static lifetimes of CLWCs, we calculate the dynamic lifetimes of CLWCs with considering the possible exchanges between the member-water and the neighbor-water. The results show that the τd is not less than the τs and the ratio of τd /τs increases with the CLWC lifetime. The phenomenon is explained by that both the efinal and the τe increase with the CLWC lifetime (Table 1). The present work strengthens that the CLWCs are metastable structures in liquid water even if their dynamic features have been considered. Certainly, the occurrence probability of long-lived CLWCs will increase if one uses τd instead of τs. ACKNOWLEDGMENTS This work is supported by the National Natural Science Foundation of China (Grant Nos. 40672034, 40221402, and 40674050). REFERENCES [1]  Sloan ED, Koh CA. Clathrate Hydrates of Natural Gases. 3nd ed.; Boca Raton: CRC Press, Taylor & Francis Group, 2007.  [2]  Sloan ED, Fleyfel F. A molecular mechanism for gas hydrate nucleation from ice. AIChE Journal 1991; 37(9): 1281-1292.  [3]  Christiansen RL, Sloan ED. Mechanisms and kinetics of hydrate formation. Annals of the New York Academy of Sciences. 1994; 715: 283305.  [4]  Long J. Gas hydrate formation mechanism and its kinetic inhibition. Ph.D. Thesis, Colorado School of Mines, Golden, CO, 1994.  [5]  Kvamme B. A new theory for the kinetics of hydrate formation. In: Proceedings of the Second International Conference on Gas Hydrates. Toulouse, France, June 2-6, 1996; 139-146.  [6]  Radhakrishnan R, Trout BL. A new approach for studying nucleation phenomena using molecular simulations: Application to CO2 hydrate clathrates. Journal of Chemical Physics 2002; 117(4): 1786-1796.  [7]  Moon C, Taylor PC, Rodger PM. Molecular dynamics study of gas hydrate formation. Journal of the American Chemical Society 2003; 125(16): 47064707.  [8]  Guo GJ, Zhang YG, Liu H. Effect of methane adsorption on the lifetime of a dodecahedral water cluster immersed in liquid water: A molecular dynamics study on the hydrate nucleation mechanisms. The Journal of Physical Chemistry C 2007; 111(6): 2595-2606.  [9]  Guo GJ, Zhang YG, Li M, Wu CH. Can the dodecahedral water cluster naturally form in methane aqueous solutions? A molecular dynamics study on the hydrate nucleation mechanisms. Journal of Chemical Physics 2008; Submitted.  [10] Guo GJ, Zhang YG, Zhao YJ, Refson K, Shan GH. Lifetimes of cagelike water clusters immersed in bulk liquid water: A molecular dynamics study on gas hydrate nucleation mechanisms. Journal of Chemical Physics 2004; 121(3): 1542-1547. [11] Guo GJ, Zhang YG, Refson K. Effect of Hbond topology on the lifetimes of cagelike water clusters immersed in liquid water and the probability distribution of these lifetimes: Implications for hydrate nucleation mechanisms. Chemical Physics Letters 2005; 413: 415-419. [12] Dec SF, Bowler KE, Stadterman LL, Koh CA, Sloan ED. Direct measure of the  hydration number of aqueous methane. Journal of the American Chemical Society 2006; 128(2): 414-415. [13] Nada H. Growth mechanism of a gas clathrate hydrate from a dilute aqueous gas solution: A molecular dynamics simulation of a three-phase system. The Journal of Physical Chemistry B 2006; 110(33): 16526-16534.  

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