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Thematische Bibliographien / Solute-solute / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Solute-solute“

Autor: Grafiati

Veröffentlicht am 18. Mai 2024

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1

Khetrapal, C. L., und N. Suryaprakash. „Solvent–solute and solute–solute interactions from NMR in nematic phases“. Liquid Crystals 14, Nr. 5 (Januar 1993): 1479–84. http://dx.doi.org/10.1080/02678299308026460.

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2

Chialvo, Ariel A. „Solute-solute and solute-solvent correlations in dilute near-critical ternary mixtures: mixed-solute and entrainer effects“. Journal of Physical Chemistry 97, Nr. 11 (März 1993): 2740–44. http://dx.doi.org/10.1021/j100113a041.

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3

Lilley, T. H. „Interactions in solutions: The interplay between solute solvation and solute-solute interactions“. Pure and Applied Chemistry 66, Nr. 3 (01.01.1994): 429–34. http://dx.doi.org/10.1351/pac199466030429.

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4

Szaniawska, Daniela, und H. G. Spencer. „Solute-solute separations of binary-solute solutions using formed-in-place membranes“. Desalination 105, Nr. 1-2 (Juni 1996): 21–24. http://dx.doi.org/10.1016/0011-9164(96)00053-7.

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5

Jacob, K. T., S. M. Hoque und Y. Waseda. „Solute–solute and solute–solvent interactions in transition metal alloys: Pt–Ti system“. Materials Science and Technology 16, Nr. 4 (April 2000): 364–71. http://dx.doi.org/10.1179/026708300101507947.

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6

Zhang Caowei, 张曹伟, 葛鸿浩 Ge Honghao, 方豪 Fang Hao, 张群莉 Zhang Qunli und 姚建华 Yao Jianhua. „溶质再分配系数对激光熔覆溶质分布的影响“. Chinese Journal of Lasers 49, Nr. 2 (2022): 0202012. http://dx.doi.org/10.3788/cjl202249.0202012.

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7

HENDRICKS, DAVID M. „Solute Processes“. Soil Science 146, Nr. 1 (Juli 1988): 60. http://dx.doi.org/10.1097/00010694-198807000-00011.

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8

Spring, K. R. „Solute recirculation“. Journal of Physiology 542, Nr. 1 (Juli 2002): 51. http://dx.doi.org/10.1113/jphysiol.2001.013265.

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9

Gangopadhyay, A. K., K. L. Sahoo und K. F. Kelton. „Importance of solute–solute interactions on glass formability“. Philosophical Magazine 91, Nr. 17 (03.03.2011): 2186–99. http://dx.doi.org/10.1080/14786435.2011.552451.

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10

WANG, Hai-feng, Feng LIU, Zheng CHEN und Wei YANG. „Solute trapping model based on solute drag treatment“. Transactions of Nonferrous Metals Society of China 20, Nr. 5 (Mai 2010): 877–81. http://dx.doi.org/10.1016/s1003-6326(09)60229-6.

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11

Ansell, S., L. Cser, T. Grósz, G. Jancsó, P. Jóvári und A. K. Soper. „Solute-solute correlation in aqueous solution of tetramethylurea“. Physica B: Condensed Matter 234-236 (Juni 1997): 347–48. http://dx.doi.org/10.1016/s0921-4526(96)00981-7.

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12

Debenedetti, Pablo G., und Ariel A. Chialvo. „Solute–solute correlations in infinitely dilute supercritical mixtures“. Journal of Chemical Physics 97, Nr. 1 (Juli 1992): 504–7. http://dx.doi.org/10.1063/1.463596.

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13

Tao, Pingyang, Saumen Poddar, Zuchen Sun, David S. Hage und Jianzhong Chen. „Analysis of solute-protein interactions and solute-solute competition by zonal elution affinity chromatography“. Methods 146 (August 2018): 3–11. http://dx.doi.org/10.1016/j.ymeth.2018.01.020.

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14

Sajfrtov, M., und Helena Sovova. „Solute-Matrix and Solute-Solute Interactions During Supercritical Fluid Extraction of Sea Buckthorn Leaves“. Procedia Engineering 42 (2012): 1682–91. http://dx.doi.org/10.1016/j.proeng.2012.07.561.

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15

Shelley, Vivian M., April Talintyre, Jack Yarwood und Richard Buchner. „Spectroscopic studies of solute–solute and solute–solvent interactions in solutions containing N,N-dimethylformamide“. Faraday Discuss. Chem. Soc. 85 (1988): 211–24. http://dx.doi.org/10.1039/dc9888500211.

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16

Ruckenstein, Eli, und Gersh O. Berim. „Effect of solute–solute and solute–solvent interactions on the kinetics of nucleation in liquids“. Journal of Colloid and Interface Science 342, Nr. 2 (Februar 2010): 528–32. http://dx.doi.org/10.1016/j.jcis.2009.10.039.

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17

Soper, A. K., J. Turner und J. L. Finney. „Solute-solute correlations in aqueous solutions of tetramethylammonium chloride“. Molecular Physics 77, Nr. 3 (20.10.1992): 431–37. http://dx.doi.org/10.1080/00268979200102531.

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18

Dong, B. S., S. X. Zhou, D. R. Li, J. Y. Qin, S. P. Pan, Y. G. Wang und Z. B. Li. „Effects of solute–solute avoidance on metallic glass formation“. Journal of Non-Crystalline Solids 358, Nr. 20 (Oktober 2012): 2749–52. http://dx.doi.org/10.1016/j.jnoncrysol.2012.06.017.

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19

Zeng, Qingxin, Chuang Yao, Kai Wang, Chang Q. Sun und Bo Zou. „Room-temperature NaI/H2O compression icing: solute–solute interactions“. Phys. Chem. Chem. Phys. 19, Nr. 39 (2017): 26645–50. http://dx.doi.org/10.1039/c7cp03919k.

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H–O bond energy governs the P_Cx for Na/H₂O liquid–VI–VII phase transition. Solute concentration affects the path of phase transitions differently with the solute type. Solute–solute interaction lessens the P_C2 sensitivity to compression. The P_C1 goes along the liquid–VI boundary till the triple phase joint.

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20

Numakura, H. „Solute–Solute Interaction In α IRON: The Status QUO“. Archives of Metallurgy and Materials 60, Nr. 3 (01.09.2015): 2061–68. http://dx.doi.org/10.1515/amm-2015-0349.

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Abstract An overview is presented on the interaction of substitutional solutes with carbon and nitrogen in α iron, which is an important factor in controlling the properties of steels. Starting from a simple model of trapping of the interstitial solute atoms by substitutional solute atoms, the principles of experimental methods for quantitative studies are described, focussing on the Snoek relaxation and solubility measurements, and the knowledge acquired by such experiments is reviewed. An account of recent theoretical approaches to the interaction is also given.

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21

Solladié-Cavallo, Arlette, und Rindra Andriamiadanarivo. „Hydroxypinanone: Solute/solute interactions and non-linear chiroptical properties“. Tetrahedron Letters 38, Nr. 33 (August 1997): 5851–52. http://dx.doi.org/10.1016/s0040-4039(97)01301-4.

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22

BERNSTEIN, E. R. „ChemInform Abstract: Organic Solute/Solvent Clusters and Solute Dimers“. ChemInform 22, Nr. 11 (23.08.2010): no. http://dx.doi.org/10.1002/chin.199111356.

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23

Falck, W. Eberhard, Adrian H. Bath und Paul J. Hooker. „Long-Term Solute Migration Profiles in Clay Sequences“. Zeitschrift der Deutschen Geologischen Gesellschaft 141, Nr. 2 (01.12.1990): 415–26. http://dx.doi.org/10.1127/zdgg/141/1990/415.

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24

Hosie, A. H. F., D. Allaway, M. A. Jones, D. L. Walshaw, A. W. B. Johnston und P. S. Poole. „Solute-binding protein-dependent ABC transporters are responsible for solute efflux in addition to solute uptake“. Molecular Microbiology 40, Nr. 6 (Juni 2001): 1449–59. http://dx.doi.org/10.1046/j.1365-2958.2001.02497.x.

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25

Price, William E., Reginald Mills und Lawrence A. Woolf. „Use of Experimental Diffusion Coefficients To Probe Solute-Solute and Solute-Solvent Interactions in Electrolyte Solutions“. Journal of Physical Chemistry 100, Nr. 38 (Januar 1996): 15630. http://dx.doi.org/10.1021/jp961982q.

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26

Zafarani-Moattar, Mohammed Taghi, Hemayat Shekaari und Elnaz Mazaher Haji Agha. „Investigation of the solute-solute and solute-solvent interactions in ternary {saccharide + ionic liquid + water} systems“. Journal of Molecular Liquids 256 (April 2018): 191–202. http://dx.doi.org/10.1016/j.molliq.2018.02.038.

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27

Masumi, Vahideh, und Rahman Salamat-Ahangari. „Solute–Solute and Solute–Solvent Interactions in the Ternary LiCl + Sucrose + Water System at 298.15 K“. Journal of Solution Chemistry 49, Nr. 9-10 (22.09.2020): 1208–24. http://dx.doi.org/10.1007/s10953-020-01021-y.

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28

Pusch, W., Y. L. Yu und L. Y. Zheng. „Solute-solute and solute-membrane interactions in hyperfiltration of binary and ternary aqueous organic feed solutions“. Desalination 75 (Januar 1989): 3–14. http://dx.doi.org/10.1016/0011-9164(89)85001-5.

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29

Price, William E., Reginald Mills und Lawrence A. Woolf. „Use of Experimental Diffusion Coefficients To Probe Solute−Solute and Solute−Solvent Interactions in Electrolyte Solutions“. Journal of Physical Chemistry 100, Nr. 4 (Januar 1996): 1406–10. http://dx.doi.org/10.1021/jp952292+.

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30

ANDRIČEVIĆ, ROKO, und VLADIMIR CVETKOVIĆ. „Relative dispersion for solute flux in aquifers“. Journal of Fluid Mechanics 361 (25.04.1998): 145–74. http://dx.doi.org/10.1017/s0022112098008751.

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The relative dispersion framework for the non-reactive and reactive solute flux in aquifers is presented in terms of the first two statistical moments. The solute flux is described as a space–time process where time refers to the solute flux breakthrough and space refers to the transverse displacement distribution at the control plane. The statistics of the solute flux breakthrough and transversal displacement distributions are derived by analysing the motion of particle pairs. The results indicate that the relative dispersion formulation approaches the absolute dispersion results on increasing the source size (e.g. >10 heterogeneity scales). The solute flux statistics, when sampling volume is accounted for, show a flattened distribution for the solute flux variance in the space–time domain. For reactive solutes, the solute flux shows a tailing phenomenon in time while solute flux variance exhibits bi-modality in transverse distribution during the recession stage of the solute breakthrough. The solute flux correlation structure is defined as an integral measure over space and time, providing a potentially useful tool for sampling design in the subsurface.

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31

LAYTON, ANITA T. „A METHODOLOGY FOR TRACKING SOLUTE DISTRIBUTION IN A MATHEMATICAL MODEL OF THE KIDNEY“. Journal of Biological Systems 13, Nr. 04 (Dezember 2005): 399–419. http://dx.doi.org/10.1142/s0218339005001598.

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The goal of this study is to develop a methodology for tracking the distribution of filtered solute in mathematical models of the urine concentrating mechanism. Investigation of intrarenal solute distribution, and its cycling by way of countercurrent exchange and preferential tubular interactions, may yield new insights into fundamental principles of concentrating mechanism function. Our method is implemented in a dynamic formulation of a central core model that represents renal tubules in both the cortex and the medulla. Axial solute diffusion is represented in intratubular flows and in the central core. By representing the fate of solute originally belonging to a marked bolus, we obtain the distribution of that solute as a function of time. In addition, we characterize the residence time of that solute by computing the portion of that solute remaining in the model system as a function of time. Because precise mass conservation is of particular importance in solute tracking, our numerical approach is based on the second-order Godunov method, which, by construction, is mass-conserving and accurately represents steep gradients and discontinuities in solute concentrations and tubular properties.

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32

WATERS, S. L. „Solute uptake through the walls of a pulsating channel“. Journal of Fluid Mechanics 433 (25.04.2001): 193–208. http://dx.doi.org/10.1017/s0022112000003396.

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We investigate the uptake of a passive solute through the walls of a pulsating, fluid-filled channel into an adjacent medium in which the solute diffuses and is consumed at a constant rate. One end of the channel is open to well-mixed fluid containing the solute. The channel walls oscillate periodically in time and this prescribed motion generates steady streaming within the channel. We determine how this flow enhances the overall solute consumption (i.e. the flux of solute into the channel), the solute dispersion along the channel and the quantity of solute in the adjacent medium. The solute disperses in the channel due to the interaction between advection and transverse diffusion. The time-mean solute distribution throughout the channel and the medium is determined for a wide range of parameters. The results are applied to a new surgical technique used to treat patients with severe coronary artery disease, in which narrow tubes are created within ischemic heart muscle in an attempt to reperfuse the area directly with oxygenated blood.

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33

Patzer, John F., und Steven E. Bane. „BOUND SOLUTE DIALYSIS“. ASAIO Journal 48, Nr. 2 (März 2002): 187. http://dx.doi.org/10.1097/00002480-200203000-00246.

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34

Smith, Lynwood H. „Solutions and Solute“. Endocrinology and Metabolism Clinics of North America 19, Nr. 4 (Dezember 1990): 767–72. http://dx.doi.org/10.1016/s0889-8529(18)30292-5.

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35

Denschlag, Robert, Martin Lingenheil, Paul Tavan und Gerald Mathias. „Simulated Solute Tempering“. Journal of Chemical Theory and Computation 5, Nr. 10 (24.08.2009): 2847–57. http://dx.doi.org/10.1021/ct900274n.

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36

Patzer, John F., und Steven E. Bane. „Bound Solute Dialysis“. ASAIO Journal 49, Nr. 3 (Mai 2003): 271–81. http://dx.doi.org/10.1097/01.mat.0000065378.73558.83.

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37

Miller, T. „Plant solute transport“. Annals of Botany 101, Nr. 7 (13.03.2008): 1050–51. http://dx.doi.org/10.1093/aob/mcn035.

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38

del Valle, F. J. Olivares, und M. A. Aguilar. „Solute-solvent interactions“. Journal of Molecular Structure: THEOCHEM 280, Nr. 1 (März 1993): 25–47. http://dx.doi.org/10.1016/0166-1280(93)87091-q.

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39

Akhtar, Yasmin, und S. M. Yasin. „SOLUTE-SOLUTE AND SOLUTE-SOLVENT INTERACTIONS STUDIES OF SACCHARIDES IN AQUEOUS SODIUM BUTYRATE SOLUTION AT 308K TEMPERATURES“. International Journal of Engineering Technologies and Management Research 6, Nr. 11 (25.01.2020): 10–17. http://dx.doi.org/10.29121/ijetmr.v6.i11.2019.459.

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Density and viscosity of D (+) galactose and D (+) lactose mono hydrates in aqueous solution of sodium butyrate solutions have been determined experimentally at 308 K. The results obtained from density and viscosity measurement have been used to calculate the, apparent molal volume фv, partial molal volume ф0v, transfer volume ∆ф0tr at infinite dilution, A and B coefficient and Sv experimental slope. The results are interpreted in terms of solute-co- solute and solute-solvent interactions in these systems. It has been observed that there exist strong solute-solvent and solute-solute interactions and complex formation between in these ternary systems. The properties of the D (+) galactose and D (+) lactose mono hydrates in aqueous solution of sodium butyrate solutions are discussed in terms of the structure making and hydrogen bonding effect.

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40

Matson, Thomas P., und Christopher A. Schuh. „Atomistic Assessment of Solute-Solute Interactions during Grain Boundary Segregation“. Nanomaterials 11, Nr. 9 (11.09.2021): 2360. http://dx.doi.org/10.3390/nano11092360.

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Grain boundary solute segregation is becoming increasingly common as a means of stabilizing nanocrystalline alloys. Thermodynamic models for grain boundary segregation have recently revealed the need for spectral information, i.e., the full distribution of environments available at the grain boundary during segregation, in order to capture the essential physics of the problem for complex systems like nanocrystalline materials. However, there has been only one proposed method of extending spectral segregation models beyond the dilute limit, and it is based on simple, fitted parameters that are not atomistically informed. In this work, we present a physically motived atomistic method to measure the full distribution of solute-solute interaction energies at the grain boundaries in a polycrystalline environment. We then cast the results into a simple thermodynamic model, analyze the Al(Mg) system as a case study, and demonstrate strong agreement with physically rigorous hybrid Monte Carlo/molecular statics simulations. This approach provides a means of rapidly measuring key interactions for non-dilute grain boundary segregation for any system with an interatomic potential.

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41

Wang, Ruoyu, Junwei Zhang, Chuyang Y. Tang und Shihong Lin. „Understanding Selectivity in Solute–Solute Separation: Definitions, Measurements, and Comparability“. Environmental Science & Technology 56, Nr. 4 (24.01.2022): 2605–16. http://dx.doi.org/10.1021/acs.est.1c06176.

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42

Malham, Richard, Sarah Johnstone, Richard J. Bingham, Elizabeth Barratt, Simon E. V. Phillips, Charles A. Laughton und Steve W. Homans. „Strong Solute−Solute Dispersive Interactions in a Protein−Ligand Complex“. Journal of the American Chemical Society 127, Nr. 48 (Dezember 2005): 17061–67. http://dx.doi.org/10.1021/ja055454g.

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43

Fomon, Samuel J., und Ekhard E. Ziegler. „Renal solute load and potential renal solute load in infancy“. Journal of Pediatrics 134, Nr. 1 (Januar 1999): 11–14. http://dx.doi.org/10.1016/s0022-3476(99)70365-3.

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44

Brugé, F., G. Cottone, R. Noto und ZL Fornili. „Microscopic aspects of solute-solute interactions induced by the solvent“. Journal de Chimie Physique 93 (1996): 1858–78. http://dx.doi.org/10.1051/jcp/1996931858.

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45

Liu, Guobao, Jing Zhang und Yuchen Dou. „First-principles study of solute–solute binding in magnesium alloys“. Computational Materials Science 103 (Juni 2015): 97–104. http://dx.doi.org/10.1016/j.commatsci.2015.03.023.

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46

Hussam, Abul, Zeeshan Ahmed und George W. Mushrush. „Solute-Solute Interactions in Jet Fuel by Ultralow Conductance Measurement“. Petroleum Science and Technology 23, Nr. 9-10 (September 2005): 1129–38. http://dx.doi.org/10.1081/lft-200035549.

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47

Hawkins, Gregory D., Christopher J. Cramer und Donald G. Truhlar. „Pairwise solute descreening of solute charges from a dielectric medium“. Chemical Physics Letters 246, Nr. 1-2 (November 1995): 122–29. http://dx.doi.org/10.1016/0009-2614(95)01082-k.

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48

Johnson, Beverly F., James Bramlage und John G. Dorsey. „Solute focusing in flow-injection systems: effect of solute capacity factor and position of solute-focusing column“. Analytica Chimica Acta 255, Nr. 1 (Dezember 1991): 127–33. http://dx.doi.org/10.1016/0003-2670(91)85097-c.

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49

Roy, M. Nath, B. Sinha, R. Dey und A. Sinha. „Solute–Solvent and Solute–Solute Interactions of Resorcinol in Mixed 1,4-Dioxane–Water Systems at Different Temperatures“. International Journal of Thermophysics 26, Nr. 5 (September 2005): 1549–63. http://dx.doi.org/10.1007/s10765-005-8103-8.

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50

Zhang, Liang, Mingming Luo und Zhihua Chen. „Identification and Estimation of Solute Storage and Release in Karst Water Systems, South China“. International Journal of Environmental Research and Public Health 17, Nr. 19 (02.10.2020): 7219. http://dx.doi.org/10.3390/ijerph17197219.

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Solute storage and release in groundwater are key processes in solute transport for groundwater remediation and protection. In karst areas where concentrated recharge conditions exist, pollution incidents can easily occur in springs that are hydraulically connected to densely inhabited karst depressions. The intrinsic heterogeneity common in karst media makes modeling solute transport very difficult with great uncertainty. Meanwhile, it is noteworthy that solute storage and release within subsurface conduits and fissures exhibit strong controlling function on pollutant attenuation during underground floods. Consequently, in this paper, we identified and estimated the solute storage and release processes in karst water systems under concentrated recharge conditions. The methodology uses the advection–dispersion method and field tracer tests to characterize solute transport in different flow paths. Two solute transport pathways were established (i.e., linear pathway (direct transport through karst conduits) and dynamic pathway (flow through fissures)). Advection–dispersion equations were used to fit the breakthrough curves in conduit flow, while the volume of solute storage in fissures were calculated by segmenting the best fitting curves from the total breakthrough curves. The results show that, greater recharge flow or stronger dynamic conditions leads to lower solute storage rate, with the storage rate values less than 10% at high water level conditions. In addition, longer residence time was recorded for solute exchange between conduits and fissures at the low water level condition, thereby contributing to a higher solute storage rate of 26% in the dynamic pathway.

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