DOI:
10.1039/C7RA07000D
(Paper)
RSC Adv., 2017,
7, 37699-37705
pH-Responsive wormlike micelles based on microstructural transition in a C22-tailed cationic surfactant–aromatic dibasic acid system
Received
23rd June 2017
, Accepted 23rd July 2017
First published on 1st August 2017
Abstract
pH-Responsive wormlike micelles based on microstructural transition, and formed by complexation of N-erucamidopropyl-N,N-dimethylamine (UC22AMPM) and potassium phthalic acid (PPA) at a molar ratio of 2:1, were developed and compared with CTAB/PPA at the same molar ratio. Phase behavior, viscoelasticity, and microstructural transitions of solutions were investigated by observing their appearance, rheological characteristics, dynamic light scattering, and 1H NMR measurements. It was found that the phase behavior of UC22AMPM/PPA solutions undergoes transitions from transparent viscoelastic fluid to phase separation with white floaters upon increasing pH. By increasing pH from 2.01 to 6.19, the viscosity of wormlike micelles in the transparent solutions continuously increased and reached ∼1.4 × 106 mPa s at pH 6.19. As pH was adjusted to 7.32, the opalescent solution showed a water-like flowing behaviour and the η0 rapidly declined to ∼1.7 mPa s. The viscosity of the CTAB/PPA solutions had a maximum at pH 2.98 and then decreased with increasing pH. This radical variation in rheological behavior is attributed to the pH dependent hydrophobicity of PPA and ultra-long hydrophobic chain of UC22AMPM. Additionally, dramatic viscosity changes of about 6 magnitudes can be triggered by varying pH without any deterioration for the UC22AMPM/PPA system.
Introduction
Wormlike micelles (WLMs) have attracted growing interest due to their unique properties in the past few years.1–9 These types of micelles, with contour lengths ranging from several nanometres up to several micrometres, are usually self-assembled from aqueous surfactant solutions. They may overlap and entangle to form three-dimensional network structures which exhibit viscoelastic properties. Hitherto, the fascinating properties of WLMs render them extremely useful in many aspects of industrial applications including oil production,10–12 drag reduction agents,13,14 and drug delivery.15–17
Recently, particular interest has been focused on the design of WLMs that are responsive to external stimuli, such as pH,18–23 CO2,24–26 light,27–29 and temperature.30–34 These stimuli-responsive viscoelastic fluids produced by WLMs can find applications in transmission clutches,35 shock absorbers,36 vibration control,37 human muscle stimulators, and clean fracturing fluids.11,38 Compared to other external stimuli, pH is a simple and economical trigger for controlling viscoelasticity of WLMs solutions. To date, pH-responsive WLMs have been mainly formed by mixing a cationic surfactant and a low molecular weight hydrotrope that screen electrostatic repulsions between the surfactant charged headgroups. Among these hydrotropes, phthalic acid has been widely used. For example, Lin et al.39 introduced potassium phthalic acid (PPA) as a pH-responsive hydrotrope into the cationic surfactant cetyltrimethylammonium bromide (CTAB) solution to design pH-responsive WLMs. This viscoelastic fluid can be switched between a highly viscoelastic solution and a water-like solution within a narrow pH range, which was attributed to a transition from WLMs to short cylindrical micelles. More recently, Rose et al.40 proposed pH-dependent changes in the micellar binding ability of phthalic acid as the key factor regulating reversible switching between liquid-like and gel-like states on adjusting the pH of cetylpyridinium chloride (CPC)/phthalic acid solutions. However, the viscosity of these systems decreased rapidly with an increase of pH when the pH was more than 3.00. And none of these experiments focused on understanding the microstructural changes and underlying molecular interactions that brought about the pH-responsive rheological behavior (Scheme 1).
|
| Scheme 1 The chemical structure of N-erucamidopropyl-N,N-dimethylamine (UC22AMPM). | |
Since these surfactants, which are bearing hydrophobic chains shorter than C18, cannot form wormlike micelles spontaneously by themselves, the addition of organic or inorganic hydrotropes is inevitably necessary.41–43 To address this, several kinds of surfactants that bear a C22-tail have been investigated.44–46 Protonated N-erucamidopropyl-N,N-dimethylamine (UC22AMPM) is a cationic surfactant which can form the WLMs without any hydrotropes when pH is less than 6.20, and the addition of an inorganic polyacid improved the formation of “oligomeric” surfactants which significantly increased viscoelasticity of the system.5,47 But the combination of UC22AMPM and PPA has not been reported so far, and we believed this ultra-long hydrophobic chain will have an unusual impact on the performance of the mixed system.
Consequently, we investigated pH-responsive structural changes in aqueous UC22AMPM/PPA solutions through a combination of observing their appearance, rheology, dynamic light scattering (DLS), and 1H NMR measurements. Our results show an unexpected rheological behavior with changing pH and offer new insights into microstructural evolution controlling self-assembly in cationic surfactant–aromatic dibasic acid mixtures.
Experimental
Materials
UC22AMPM with purity greater than 99.0% (HPLC) was synthesized based on a procedure previously reported.47 Cetyltrimethylammonium bromide (CTAB), potassium phthalic acid (PPA), hydrochloric acid (HCl) and sodium hydroxide (NaOH) were all analytical grades and purchased from Beijing Chemical Company (China). Water used was triply distilled by a quartz water purification system. All reagents were used without further treatment.
Sample preparation
Samples were obtained by mixing 30 mM UC22AMPM with 15 mM PPA in distilled water; then it was well-mixed and followed by magnetic agitation for several minutes. The pH values of the UC22AMPM/PPA system were regulated by adding HCl and/or NaOH aqueous solutions dropwise. Generally, for freshly prepared wormlike micellar solutions, the samples were left at room temperature for at least 1 day prior to measurements. The CTAB/PPA system was prepared in the same manner as described above.
Rheology
Rheological experiments were performed on a Physica MCR 301 (Anton Paar, Austria) rotational rheometer equipped with a searle-type concentric cylinder geometry CC27 (ISO3219). Samples were equilibrated at the temperature of interest for no less than 20 min prior to measurements. Dynamic frequency spectra were conducted in the linear viscoelastic regime of the samples, as determined from dynamic stress sweep measurements. The temperature was set to +0.1 °C accuracy using a Peltier temperature control device.
Dynamic light scattering (DLS)
DLS was performed with a spectrometer (ALV-5000/E/WIN Multiple Tau Digital Correlator) and a Spectra-Physics 2017 200 mW Ar laser (514.5 nm wavelength). The scattering angle was 90°, and the intensity autocorrelation functions were analyzed by using the methods of Contin.
1H NMR
1H NMR was carried out in solutions of D2O with Mercury Plus 300 MHz. The NMR measurement was carried out at 25 °C.
Results and discussion
Comparison of zero-shear viscosity variations induced by pH
The effect of pH on zero-shear viscosity (η0) variation of the UC22AMPM/PPA system is shown in Fig. 1. The η0 is ∼2.8 × 104 mPa s at pH 2.01 for 30 mM UC22AMPM/15 mM PPA solution. When the pH was increased to 6.19, the η0 reached to ∼1.4 × 106 mPa s, which was improved about 50 times and nearly enough to support its own weight. When further increasing the pH, the η0 rapidly declined to ∼1.7 mPa s and this character remained almost unchanged up to pH 9.17. As a comparison, the η0 of 30 mM CTAB/15 mM PPA was also investigated. It is noteworthy that this solution showed a volcano change when pH was increased from 2.01 to 6.19, while the viscosity of the UC22AMPM/PPA system increased monotonously in that same pH range. Furthermore, the η0 of CTAB/PPA is smaller than that of the UC22AMPM/PPA solution at the same pH; the reason may be due to different structures of the two surfactants. Compared with CTAB, UC22AMPM has an ultra-long hydrophobic carbon chain. Thus, an increase in the aggregate parameter p can be expected,48,49 and the formation of larger aggregates with low curvature is more favored. The variation of η0 also reflects that pH has a significantly different effect on these two systems, since the chemical structures of two surfactants are without any variation within the pH range from 2.01 to 6.19. Therefore, we speculate that the radical variations in rheological behavior between the two systems were caused by the pH-sensitivity of PPA.
|
| Fig. 1 The appearance and zero-shear viscosity variations induced by pH. | |
pH-Responsive viscoelastic behavior in UC22AMPM/PPA system
As mentioned above, pH has an extra significant effect on the η0 of the UC22AMPM/PPA system, so the rheological properties of this system under different pH conditions were further studied. As shown in Fig. 2a, when the pH ranged from 2.01–6.71, it can be seen that all solutions show shear-thinning behavior when the shear rate exceeds a critical shear rate, indicating the presence of WLMs in all solutions. When the pH is higher than 7.32, the apparent viscosity of the solution remains constant regardless of the shear rate, which is typical of Newtonian fluid. It is known that viscosity is related to the type and morphology of various aggregates, and the viscosity variation of the UC22AMPM/PPA solution has an abrupt massive change which reflects growth first and then sharp decrease of the wormlike micelles. The plots of the elastic (G′) and viscous modulus (G′′) are shown as a function of oscillatory shear frequency (ω) for UC22AMPM/PPA solutions at different pH in Fig. 2b. All solutions exhibit a typical viscoelastic response and the viscoelasticity of them is attributed to entanglement of long WLMs to form a transient network. It is easy to see that the viscoelastic behavior of these solutions are like a strongly elastic gel where the values of G′ are always higher than G′′ when the pH ranged from 2.01 to 6.19. The relaxation time τR can be determined from the reciprocal of the frequency at the crossover of G′ and G′′, which is proportional to the average micelle length. However, the ωc values of UC22AMPM/PPA solutions are too low to detect, so the relaxation time τR is extremely long.
|
| Fig. 2 Effect of pH on steady (a) and dynamic (b) rheological curves for the 30 mM UC22AMPM/15 mM PPA solutions at 25 °C. | |
Results of microstructure variations at different pH values can be derived from the macroscopical pH-responsive rheological behaviors of the UC22AMPM/PPA aqueous system. To further confirm micelle transition from a micro perspective, DLS measurements were carried out to investigate the microscopic structures at four different pH values. As demonstrated in Fig. 3, the average hydrodynamic radius of 13.5 nm gained at initial pH 2.01. When pH increased to 4.02, two peaks in the plot appeared with average hydrodynamic diameters of 21.0 nm and 4800.7 nm, respectively. This phenomenon indicates that different growth degrees of micelles are coexistent at that pH. Then, the two peaks continued moving right and the intensity of 50.7 nm decreased with an increase at 5559.6 nm when pH arrived at 6.19, demonstrating that the micelles gain sufficient growth. However, the peaks move back left and the intensity of higher average hydrodynamic radius almost disappeared with a continued increasing of the pH to 6.71, which can be ascribed to deprotonating of the tertiary amine and more neutral UC22AMPM occurring in the system. It is also shows the average diameter size as a function of pH (Fig. 3 insert). The average diameter size of aggregates in the UC22AMPM/PPA aqueous system rose with pH to reach a maximum value and then declined, implying that the aggregates undergo growth and destruction procedures with increasing pH. The rheological performance of the system was consistent with the test results.
|
| Fig. 3 Effects of pH on the average hydrodynamic diameter of the aggregates at 25 °C. Inset: the average diameter size as a function of pH. | |
Microstructural transition induced by pH
As mentioned above, we speculate that the structural changes in PPA lead to differences between these two systems. As the pH increased with addition of NaOH, PPA molecules were gradually transformed into DPPA. Fig. 4 shows species distribution of PPA solutions varying with pH values. It is illustrated that PPA and DPPA are the main existence forms for UC22AMPM/PPA and CTAB/PPA solutions when pH values are around 2.96, and higher than 5.40, respectively. In pH ranges from 4.15 to 6.19, the content of PPA gradually decreased with an increase of DPPA.
|
| Fig. 4 Species distribution resulting from an aqueous solution of PPA at 25 °C. | |
The solubility of DPPA (∼1.5 M) is larger than that of PPA (∼0.7 M) due to the special molecular structure of two ionized carboxylic acid moieties.39 Thus, it can be suggested that DPPA is more hydrophilic than PPA and cannot effectively insert between the surfactant tails acting like hydrotropes to moderately increase the volume of the lipophilic chain. As a result, a loose packing between hydrocarbon chains was adapted in the CTAB/PPA system, and short cylindrical micelles were formed when pH was larger than 3.56. However, UC22AMPM can form wormlike micelles spontaneously on its own. While DPPA cannot insert between the surfactants, the headgroups can promote further closing with each other due to electrostatic attraction and elimination of steric hindrance of the benzene ring. This intermolecular interaction makes DPPA and UC22AMPM behaved as “pseudo” Gemini surfactants, and a tight packing between hydrocarbon chains was adapted in the UC22AMPM/PPA system. Consequently, this leads to the growth of larger WLMs and the enhancement of corresponding viscosities. Further increasing the pH to larger than 6.19 drops the viscosity rapidly due to deprotonation of the tertiary amine and disintegration of the WLMs. In summary, molecular structure and hydrophobicity of PPA was influenced by pH, which may result in a variation of molecular interactions between surfactants and hydrotropes. As a result, two different pH-responsive macroscopic rheological properties can be obtained by surfactants with different tails. A representative scheme is illustrated in Fig. 5.
|
| Fig. 5 Schematic representation of microstructures transition mechanism induced by pH in the UC22AMPM/PPA system. | |
NMR spectroscopy is a powerful tool for investigating the association between a hydrotrope and amphiphile in aqueous solutions from the viewpoint of chemical shifts.50–52 The 1H NMR spectra of 15 mM PPA in the presence and absence of 30 mM UC22AMPM at different pH values are shown in Fig. 6. With the addition of UC22AMPM, different degrees of peak shift are observed at pH 6.19, 5.02, 4.02, and 3.56.
|
| Fig. 6 Proton resonances for 30 mM UC22AMPM/15 mM PPA solution at different pH values. | |
It can be noted that the protons on an aromatic ring show an apparent shift with addition of UC22AMPM: the proton H1 shifted upfield while the proton H2 shifted downfield. A similar result was also found in CTAB/PPA aqueous solutions.39 H1 was exposed to bulk water and experienced a polar environment in the absence of UC22AMPM; however, with addition of UC22AMPM, proton H1 undergoes from a polar environment to a nonpolar environment and as a result the NMR signal shifted upfield. The parameter Δδ was applied to better discuss the effect of pH interaction between UC22AMPM and PPA, which was proposed by Huang and defined as39
where
δ′ and
δ are the chemical shifts of the proton on the PPA aromatic rings in the absence and presence of UC
22AMPM, respectively. As discussed above, the signal shift change Δ
δ was caused by changes in the chemical environment. In turn, the value of Δ
δ can scale the environment of PPA qualitatively.
A plot of Δδ (H1) and Δδ (H2) as a function of pH value is shown in Fig. 7. Note that the signal shift change Δδ for both H1 and H2 is gradually reduced as the pH rises. Considering that Δδ was caused by changes in chemical environment, decrease of Δδ (H1) and Δδ (H2) means that the environment of aggregates transfers from a nonpolar environment to polar environment, and confirms that DPPA entered the aqueous phase from a micelle with an increase of pH.
|
| Fig. 7 Variation of proton chemical shift change Δδ on the aromatic ring at different pH. | |
Cryo-TEM images of UC22AMPM/PPA solutions are shown in Fig. 8. When the pH is 2.01, there are high-density wormlike micelles with relatively shorter lengths in the solution and the flexible worms can also entangle with each other to form aggregates of networks. When the pH increases to 6.19 (Fig. 8b), the length of micelles can reach to hundreds of nanometres or even several micrometres. The micelles are also found to overlap with each other and entangle to form three-dimensional network structures.
|
| Fig. 8 Cryo-TEM images for 30 mM UC22AMPM/15 mM PPA at pH 2.01 (A) and 6.19 (B). | |
The above results reflect the remarkable effects of pH on the viscoelastic behaviors of a UC22AMPM/PPA solution. As we can see, the rheological properties of the solution can also be reversibly switched via a facile way of tuning pH through the addition of acid or base in small amounts (Fig. 9). The viscosity of a solution changes between ∼1.4 × 106 and ∼1.7 mPa s and, at the same time, the flow state of the solution turns between gel-like and water-like states for at least three cycles without any deterioration. This high pH sensitivity and reversible control of rheological properties may greatly facilitate practical applications of such a responsive viscoelastic fluid.
|
| Fig. 9 pH-Switchable viscosity of 30 mM UC22AMPM/15 mM PPA solution at 25 °C. | |
Conclusions
A pH-responsive wormlike micelle based on a “pseudo” Gemini surfactant was developed by complexation of UC22AMPM and PPA with a molar ratio of 2:1 and compared with a CTAB/PPA system. The UC22AMPM/PPA system has a wider range of pH-responsiveness and a different variation of viscosity; the appearance of aqueous states with a pH range of 2.01 to 9.17 depends on hydrophobicity of PPA and ionization of UC22AMPM. Rheological results and 1H NMR spectroscopy correspondingly revealed the microstructure's transition. The viscosity of the UC22AMPM/PPA system is much higher and adjustable because of the variation from monomer to a “Gemini” surfactant. The WLMs system also has excellent pH reversible ability for at least 3 circles of pH regulation, which is very important for its practical applications.
Acknowledgements
The work was supported by the Fundamental Research Funds for the Central Universities (16CX06032A, 15CX08003A), the National Natural Science Foundation of China (21273286), the China Postdoctoral Science Foundation (2017M612378), Scientific Research Fund for Introducing Scholars of China University of Petroleum (YJ201601088) and Qingdao Postdoctoral Application Research Project (2016222).
References
- Z. Chu, C. A. Dreiss and Y. Feng, Chem. Soc. Rev., 2013, 42, 7174–7203 RSC.
- A. Wang, W. Shi, J. Huang and Y. Yan, Soft Matter, 2016, 12, 337–357 RSC.
- T. Kusano, K. Akutsu, H. Iwase, T. Yoshimura and M. Shibayama, Colloids Surf., A, 2016, 497, 109–116 CrossRef CAS.
- C. Dai, W. Li, Y. Cui, Y. Sun, W. Wu, Z. Xu, Y. Liu, Z. Yang and X. Wu, Colloids Surf., A, 2016, 500, 32–39 CrossRef CAS.
- Y. Feng and Z. Chu, Soft Matter, 2015, 11, 4614–4620 RSC.
- S. A. Rogers, M. A. Calabrese and N. J. Wagner, Curr. Opin. Colloid Interface Sci., 2014, 19, 530–535 CrossRef CAS.
- T. Kusano, H. Iwase, T. Yoshimura and M. Shibayama, Langmuir, 2012, 28, 16798–16806 CrossRef CAS PubMed.
- Y. Hou, Y. Han, M. Deng, J. Xiang and Y. Wang, Langmuir, 2010, 26, 28–33 CrossRef CAS PubMed.
- Y. Feng, Z. Chu and C. A. Dreiss, in Smart Wormlike Micelles: Design, Characteristics and Applications, Springer Berlin Heidelberg, Berlin, Heidelberg, 2015 Search PubMed.
- C. Dai, K. Wang, Y. Liu, J. Fang and M. Zhao, PLoS One, 2014, 9, e113723 Search PubMed.
- E. S. Boek, A. Jusufi, H. Löwen and G. C. Maitland, J. Phys.: Condens. Matter, 2002, 14, 9413 CrossRef CAS.
- M. S. Kamal, J. Surfactants Deterg., 2016, 19, 223–236 CrossRef CAS.
- H. Shi, W. Ge, Y. Wang, B. Fang, J. T. Huggins, T. A. Russell, Y. Talmon, D. J. Hart and J. L. Zakin, J. Colloid Interface Sci., 2014, 418, 95–102 CrossRef CAS PubMed.
- H. Shi, W. Ge, H. Oh, S. M. Pattison, J. T. Huggins, Y. Talmon, D. J. Hart, S. R. Raghavan and J. L. Zakin, Langmuir, 2013, 29, 102–109 CrossRef CAS PubMed.
- N. Hassan, J. M. Ruso and A. González-Pérez, Soft Matter, 2011, 7, 5194 RSC.
- D. P. Acharya and H. Kunieda, J. Phys. Chem. B, 2003, 107, 10168–10175 CrossRef CAS.
- H. Afifi, G. Karlsson, R. K. Heenan and C. A. Dreiss, Langmuir, 2011, 27, 7480–7492 CrossRef CAS PubMed.
- H. Lu, Q. Shi and Z. Huang, J. Phys. Chem. B, 2014, 118, 12511–12517 CrossRef CAS PubMed.
- Y. Lin, X. Han, X. Cheng, J. Huang, D. Liang and C. Yu, Langmuir, 2008, 24, 13918–13924 CrossRef CAS PubMed.
- Z. Yan, C. Dai, M. Zhao, G. Zhao, Y. Li, X. Wu, M. Du and Y. Liu, Colloids Surf., A, 2015, 482, 283–289 CrossRef CAS.
- Z. Chu and Y. Feng, Chem. Commun., 2010, 46, 9028–9030 RSC.
- L. Zhao, K. Wang, L. Xu, Y. Liu, S. Zhang, Z. Li, Y. Yan and J. Huang, Soft Matter, 2012, 8, 9079–9085 RSC.
- C. B. Minkenberg, B. Homan, J. Boekhoven, B. Norder, G. J. Koper, R. Eelkema and J. H. van Esch, Langmuir, 2012, 28, 13570–13576 CrossRef CAS PubMed.
- Y. Zhang, Y. Zhang, C. Wang, X. Liu, Y. Fang and Y. Feng, Green Chem., 2016, 18, 392–396 RSC.
- H. Liu, Y. Zhao, C. A. Dreiss and Y. Feng, Soft Matter, 2014, 10, 6387–6391 RSC.
- Y. Zhang, Y. Feng, J. Wang, S. He, Z. Guo, Z. Chu and C. A. Dreiss, Chem. Commun., 2013, 49, 4902–4904 RSC.
- K. Jia, J. Hu, J. Dong and X. Li, J. Colloid Interface Sci., 2016, 477, 156–165 CrossRef CAS PubMed.
- P. Xing, H. Chen, L. Bai and Y. Zhao, Chem. Commun., 2015, 51, 9309–9312 RSC.
- H. Yan, Y. Long, K. Song, C. H. Tung and L. Zheng, Soft Matter, 2014, 10, 115–121 RSC.
- L. Zhang, W. Kang, D. Xu, J. Jiang, H. Feng, M. Yang, Q. Zhou and H. Wu, Colloids Surf., A, 2017, 522, 628–634 CrossRef CAS.
- X. L. Wei, C. H. Han, P. P. Geng, X. X. Chen, Y. Guo, J. Liu, D. Z. Sun, J. H. Zhang and M. J. Yu, Soft Matter, 2016, 12, 1558–1566 RSC.
- X. Ji, M. Tian and Y. Wang, Langmuir, 2016, 32, 972–981 CrossRef CAS PubMed.
- C. Morita, Y. Imura, T. Ogawa, H. Kurata and T. Kawai, Langmuir, 2013, 29, 5450–5456 CrossRef CAS PubMed.
- T. S. Davies, A. M. Ketner and S. R. Raghavan, J. Am. Chem. Soc., 2006, 128, 6669–6675 CrossRef CAS PubMed.
- D. L. Hartsock, R. F. Novak and G. J. Chaundy, J. Rheol., 1991, 35, 1305–1326 CrossRef.
- A. M. Ketner, R. Kumar, T. S. Davies, P. W. Elder and S. R. Raghavan, J. Am. Chem. Soc., 2007, 129, 1553–1559 CrossRef CAS PubMed.
- R. Stanway, J. L. Sproston and A. K. El-Wahed, Smart Mater. Struct., 1996, 5, 464 CrossRef CAS.
- K. Bohon and S. Krause, J. Polym. Sci., Part B: Polym. Phys., 1998, 36, 1091–1094 CrossRef CAS.
- Y. Lin, X. Han, J. Huang, H. Fu and C. Yu, J. Colloid Interface Sci., 2009, 330, 449–455 CrossRef CAS PubMed.
- J. L. Rose, B. V. Tata, V. K. Aswal, P. A. Hassan, Y. Talmon and L. Sreejith, Eur. Phys. J. E: Soft Matter Biol. Phys., 2015, 38, 4 CrossRef PubMed.
- C. A. Dreiss, Soft Matter, 2007, 3, 956–970 RSC.
- K. Trickett and J. Eastoe, Adv. Colloid Interface Sci., 2008, 144, 66–74 CrossRef CAS PubMed.
- A. A. Serdyuk, A. B. Mirgorodskaya, I. V. Kapitanov, N. Gathergood, L. Y. Zakharova, O. G. Sinyashin and Y. Karpichev, Colloids Surf., A, 2016, 509, 613–622 CrossRef CAS.
- R. Kumar, G. C. Kalur, L. Ziserman, D. Danino and S. R. Raghavan, Langmuir, 2007, 23, 12849–12856 CrossRef CAS PubMed.
- S. R. Raghavan and E. W. Kaler, Langmuir, 2001, 17, 300–306 CrossRef CAS.
- Y. Feng and Y. Han, J. Mol. Liq., 2016, 218, 508–514 CrossRef CAS.
- W. Kang, P. Wang, H. Fan, H. Yang, C. Dai, X. Yin, Y. Zhao and S. Guo, Soft Matter, 2017, 13, 1182–1189 RSC.
- J. N. Israelachvili, D. J. Mitchell and B. W. Ninham, Biochim. Biophys. Acta, Biomembr., 1977, 470, 185–201 CrossRef CAS.
- J. N. Israelachvili, D. J. Mitchell and B. W. Ninham, J. Chem. Soc., Faraday Trans. 2, 1976, 72, 1525–1568 RSC.
- T. Shikata, H. Hirata and T. Kotaka, Langmuir, 1988, 4, 354–359 CrossRef CAS.
- S. J. Bachofer, U. Simonis and T. A. Nowicki, J. Phys. Chem. B, 1991, 95, 480–488 CrossRef CAS.
- M. Vermathen, P. Stiles, S. J. Bachofer and U. Simonis, Langmuir, 2002, 18, 1030–1042 CrossRef CAS.
|
This journal is © The Royal Society of Chemistry 2017 |
Click here to see how this site uses Cookies. View our privacy policy here.