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Research article · 2026 · Full text

International Journal of Advanced Chemistry Research

Temperature dependence of viscosity and activation energy of viscous flow in ethanol-water binary liquid mixtures

Pankaj Sharma

Volume 8(8) · Pages 04–06 · DOI: 10.33545/26646781.2026.v8.i8a.724 ↗

Research areasThermodynamic properties of mixturesDiffusion Coefficients in LiquidsMaterial Dynamics and Properties

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Abstract

Author-written

The viscosity of ethanol-water binary mixtures was measured over the entire composition range (mole fraction of ethanol, x = 0.0-1.0) and over the temperature interval 293.15-318.15 K using an Ostwald-type capillary viscometer. Viscosity passed through a pronounced maximum near x = 0.4, exceeding the viscosity of either pure component by more than a factor of two, a result attributed to the formation of hydrogen-bonded ethanol-water complexes that hinder molecular flow more effectively than either pure liquid alone. The temperature dependence of viscosity at each composition obeyed the Arrhenius-type equation for viscous flow, η = A·exp(Ea/RT), allowing the activation energy of viscous flow, Ea, to be determined from the slope of ln η versus 1/T plots. The activation energy likewise showed a maximum (18.7 kJ mol⁻¹) near x = 0.4, mirroring the viscosity maximum and providing further evidence that the energy barrier to molecular flow is largest where hydrogen-bonded network formation between ethanol and water is most extensive. The excess Gibbs energy of activation for viscous flow, calculated from deviations of ln η from ideal mixing behaviour, was positive across the entire composition range, consistent with strong negative deviations from Raoult's law reported previously for this system. These results provide a physicochemical rationale, grounded in transport theory and intermolecular association, for the well-known anomalous viscosity behaviour of ethanol-water mixtures.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Mixtures of water and short-chain alcohols are of significant interest because they exhibit highly non-ideal physicochemical behavior. View evidence ↗

      Why it matters

      Mixtures of water and short-chain alcohols are of significant interest because they exhibit highly non-ideal physicochemical behavior.

      In the paper's own words

      “Binary mixtures of water with short-chain alcohols display markedly non-ideal physicochemical behaviour that has attracted sustained interest since the earliest systematic studies of solution thermodynamics.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Viscosity serves as a sensitive tool for studying structural reorganization in these mixtures because it directly reflects the strength and duration of intermolecular interactions. View evidence ↗

      Why it matters

      Viscosity serves as a sensitive tool for studying structural reorganization in these mixtures because it directly reflects the strength and duration of intermolecular interactions.

      In the paper's own words

      “Viscosity is a particularly sensitive probe of this reorganisation because it depends directly on the strength and lifetime of intermolecular interactions that resist relative motion between adjacent liquid layers.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The activation energy of viscous flow (Ea) represents the energy barrier a molecule must overcome to move within the liquid, providing mechanistic insight into the system. View evidence ↗

      Why it matters

      The activation energy of viscous flow (Ea) represents the energy barrier a molecule must overcome to move within the liquid, providing mechanistic insight into the system.

      In the paper's own words

      “The temperature dependence of viscosity provides additional mechanistic information through the activation energy of viscous flow, Ea, which may be interpreted within Eyring's absolute rate theory as the energy barrier a molecule must overcome to move from one quasi-lattice site to a neighbouring vacant site in the liquid.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aims to establish a clear relationship between hydrogen bonding and the dynamics of viscous flow in ethanol-water mixtures. View evidence ↗

      The question

      The study aims to establish a clear relationship between hydrogen bonding and the dynamics of viscous flow in ethanol-water mixtures.

      In the paper's own words

      “The present study reports such a dataset and analysis, aimed at establishing a clear structure-property relationship between hydrogen bonding and the dynamics of viscous flow in this archetypal associated liquid mixture.”

      Page 2

      Found in: Interna tional Jo urna l o f Adva nced Chemistry Research 2026 ; 8(8 ): 0 4-06

      Read it in the full textOpen PDF at page 2 ↗
  3. What they did

    • The researchers used HPLC grade absolute ethanol (99.9%) and deionized water to create mixtures with ethanol mole fractions (x) of 0.0, 0.2, 0.4, 0.6, 0.8, and 1.0. View evidence ↗

      What they did

      The researchers used HPLC grade absolute ethanol (99.9%) and deionized water to create mixtures with ethanol mole fractions (x) of 0.0, 0.2, 0.4, 0.6, 0.8, and 1.0.

      In the paper's own words

      “Absolute ethanol (99.9%, HPLC grade) and deionised water (conductivity < 2 μS cm⁻¹) were used to prepare mixtures of known mole fraction (x = 0.0, 0.2, 0.4, 0.6, 0.8, 1.0) by mass”

      Page 2

      Found in: Materials

      Read it in the full textOpen PDF at page 2 ↗
    • Viscosity measurements were performed using a calibrated Ostwald-type capillary viscometer in a water bath with a temperature control of ±0.05 K. View evidence ↗

      What they did

      Viscosity measurements were performed using a calibrated Ostwald-type capillary viscometer in a water bath with a temperature control of ±0.05 K.

      In the paper's own words

      “Viscosities were measured using a calibrated Ostwald-type capillary viscometer immersed in a thermostatted water bath controlled to ±0.05 K.”

      Page 2

      Found in: Viscosity measurement

      Read it in the full textOpen PDF at page 2 ↗
    • For each composition, flow times were recorded in triplicate across six temperatures ranging from 293.15 to 318.15 K in 5 K increments. View evidence ↗

      What they did

      For each composition, flow times were recorded in triplicate across six temperatures ranging from 293.15 to 318.15 K in 5 K increments.

      In the paper's own words

      “Flow times were recorded in triplicate at each of six temperatures (293.15-318.15 K in 5 K increments) for every composition”

      Page 2

      Found in: Viscosity measurement

      Read it in the full textOpen PDF at page 2 ↗
    • The activation energy (Ea) was determined by applying the Arrhenius-type equation and calculating the slope of ln η versus 1/T plots. View evidence ↗

      What they did

      The activation energy (Ea) was determined by applying the Arrhenius-type equation and calculating the slope of ln η versus 1/T plots.

      In the paper's own words

      “The temperature dependence of viscosity at each composition obeyed the Arrhenius-type equation for viscous flow, η = A·exp(Ea/RT), allowing the activation energy of viscous flow, Ea, to be determined from the slope of ln η versus 1/T plots.”

      Page 1

      Found in: Activation energy of viscous flow

      Read it in the full textOpen PDF at page 1 ↗
  4. What they found

    • Viscosity reached a significant maximum near an ethanol mole fraction of x = 0.4, where it was more than twice as high as the viscosity of either pure component. View evidence ↗

      What they found

      Viscosity reached a significant maximum near an ethanol mole fraction of x = 0.4, where it was more than twice as high as the viscosity of either pure component.

      In the paper's own words

      “Viscosity passed through a pronounced maximum near x = 0.4, exceeding the viscosity of either pure component by more than a factor of two”

      Page 1

      Found in: Composition and temperature dependence of viscosity

      Read it in the full textOpen PDF at page 1 ↗
    • The Arrhenius plots for all compositions were linear with R² values greater than 0.995, indicating that viscous flow is a thermally activated process. View evidence ↗

      What they found

      The Arrhenius plots for all compositions were linear with R² values greater than 0.995, indicating that viscous flow is a thermally activated process.

      In the paper's own words

      “Arrhenius plots of ln η against 1/T (Figure 2) were linear at every composition (R² > 0.995)”

      Page 2

      Found in: Activation energy of viscous flow

      Read it in the full textOpen PDF at page 2 ↗
    • The activation energy reached a maximum of 18.7 kJ mol⁻¹ near x = 0.4, following the same trend as the viscosity. View evidence ↗

      What they found

      The activation energy reached a maximum of 18.7 kJ mol⁻¹ near x = 0.4, following the same trend as the viscosity.

      In the paper's own words

      “The activation energy passes through a maximum of 18.7 kJ mol⁻¹ near x = 0.4, closely mirroring the composition dependence of the viscosity itself.”

      Page 3

      Found in: Activation energy of viscous flow

      Read it in the full textOpen PDF at page 3 ↗
    • The activation energy was 15.8 kJ mol⁻¹ for pure water (x=0.0) and decreased to 10.4 kJ mol⁻¹ for pure ethanol (x=1.0). View evidence ↗

      What they found

      The activation energy was 15.8 kJ mol⁻¹ for pure water (x=0.0) and decreased to 10.4 kJ mol⁻¹ for pure ethanol (x=1.0).

      In the paper's own words

      “x(ethanol) | Ea (kJ mol⁻¹) ... 0.0 | 15.8 ... 1.0 | 10.4”

      Page 3

      Found in: Table 1

      Read it in the full textOpen PDF at page 3 ↗
    • The excess Gibbs energy of activation for viscous flow (ΔG*E) was positive across all compositions and peaked near x = 0.4. View evidence ↗

      What they found

      The excess Gibbs energy of activation for viscous flow (ΔG*E) was positive across all compositions and peaked near x = 0.4.

      In the paper's own words

      “Deviations of ln η from the value expected for ideal (mole-fraction weighted) mixing were positive across the whole composition range and reached a maximum near x = 0.4, corresponding to a positive excess Gibbs energy of activation for viscous flow, ΔG*E.”

      Page 3

      Found in: Excess thermodynamic quantities

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors conclude that the maxima in viscosity and activation energy at x = 0.4 provide evidence for the formation of hydrogen-bonded clusters that hinder molecular flow more than in pure liquids. View evidence ↗

      What it means

      The authors conclude that the maxima in viscosity and activation energy at x = 0.4 provide evidence for the formation of hydrogen-bonded clusters that hinder molecular flow more than in pure liquids.

      In the paper's own words

      “Both the viscosity and the activation energy of viscous flow exhibit pronounced maxima near x(ethanol) = 0.4, providing self-consistent dynamic evidence for the formation of hydrogen-bonded ethanol-water clusters that impede molecular flow more strongly than in either pure liquid.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The positive excess Gibbs energy of activation supports the cluster formation model and aligns with previously reported non-ideal thermodynamic behavior of the system. View evidence ↗

      What it means

      The positive excess Gibbs energy of activation supports the cluster formation model and aligns with previously reported non-ideal thermodynamic behavior of the system.

      In the paper's own words

      “The positive excess Gibbs energy of activation for viscous flow across the composition range corroborates this picture and is consistent with the known non-ideal thermodynamics of this system.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

2 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (ethanol and water molecules in a binary liquid mixture). It explains the idea and does not show study data.↗ Enlarge
Hydrogen-Bonded Cluster Model
AI-generated conceptual illustration (ethanol and water molecules in a binary liquid mixture). It explains the idea and does not show study data.

AI-generated conceptual illustration (ethanol and water molecules in a binary liquid mixture). It explains the idea and does not show study data.

Open full-size image ↗

Hydrogen-Bonded Cluster Model

AI-generated conceptual illustration (ethanol and water molecules in a binary liquid mixture). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Ea (kJ mol⁻¹): 0.0 vs 0.2 vs 0.4 vs 0.6 vs 1.0
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Ea (kJ mol⁻¹): 0.0 vs 0.2 vs 0.4 vs 0.6 vs 1.0

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Viscosity of ethanol-water mixtures as a function of temperature at selected mole fractionsFigure 1Page 2Arrhenius plots (ln η vs. 1/T) for ethanol-water mixtures of varying compositionFigure 2Page 2Arrhenius activation energy of viscous flow for ethanol-water mixturesTable 1Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Binary mixtures of water with short-chain alcohols display markedly non-ideal physicochemical behaviour that has attracted sustained interest since the earliest systematic studies of solution thermodynamics. Properties such as excess volume, viscosity deviation, and excess Gibbs energy of mixing all show pronounced extrema as a function of composition, behaviour that is generally attributed to structural reorganisation of the hydrogen-bonded network of water in the presence of the amphiphilic alcohol molecule. Viscosity is a particularly sensitive probe of this reorganisation because it depends directly on the strength and lifetime of intermolecular interactions that resist relative motion between adjacent liquid layers. The temperature dependence of viscosity provides additional mechanistic information through the activation energy of viscous flow, Ea, which may be interpreted within Eyring's absolute rate theory as the energy barrier a molecule must overcome to move from one quasilattice site to a neighbouring vacant site in the liquid. A composition-dependent activation energy therefore reflects how the local energetic environment around a flowing molecule changes as the ethanol-water ratio is varied, and it complements static thermodynamic excess functions by describing the dynamic, non-equilibrium aspect of the same intermolecular interactions. Although the viscosity of ethanol-water mixtures has been reported in the literature at discrete temperatures, a systematic combined analysis of viscosity and activation energy across the full composition and temperature range, framed explicitly in terms of transport theory, remains a useful pedagogical and research exercise in physical chemistry.

Interna tional Jo urna l o f Adva nced Chemistry Research 2026 ; 8(8 ): 0 4-06

The present study reports such a dataset and analysis, aimed at establishing a clear structure-property relationship between hydrogen bonding and the dynamics of viscous flow in this archetypal associated liquid mixture.

Materials and Methods

Materials and Methods

Materials

Absolute ethanol (99.9%, HPLC grade) and deionised water (conductivity < 2 μS cm⁻¹) were used to prepare mixtures of known mole fraction (x = 0.0, 0.2, 0.4, 0.6, 0.8, 1.0) by mass, with compositions verified by density measurement against literature reference values.

Viscosity measurement

Viscosities were measured using a calibrated Ostwald-type capillary viscometer immersed in a thermostatted water bath controlled to ±0.05 K. Flow times were recorded in triplicate at each of six temperatures (293.15-318.15 K in 5 K increments) for every composition, and the kinematic viscosity was converted to dynamic viscosity using density values measured with a digital density meter. The viscometer constant was determined by calibration against deionised water using literature reference viscosities.

Results and Discussion

Results and Discussion

Composition and temperature dependence of viscosity

Figure 1 shows the measured viscosity of ethanol-water mixtures as a function of temperature for five representative compositions. At every temperature studied, viscosity increased from the pure-water value, passed through a maximum near x = 0.4, and then decreased towards the pure-ethanol value, in agreement with the well-established anomalous behaviour of this system. The viscosity maximum is markedly higher than either pure-component value at all temperatures, indicating that mixing water and ethanol in this ratio produces a more structured, higherfriction liquid than either pure liquid. This behaviour is rationalised by the formation of relatively long-lived hydrogen-bonded clusters in which ethanol molecules are incorporated into, and reinforce, the threedimensional hydrogen-bonded network of water through their hydroxyl groups while their hydrophobic ethyl groups pack alongside neighbouring alcohol molecules. Such clustering increases the effective size and reduces the mobility of the flowing kinetic units, raising the macroscopic viscosity above that expected from a simple, ideal mixing rule.

Figure 1. Viscosity of ethanol-water mixtures as a function of temperature at selected mole fractions
Viscosity of ethanol-water mixtures as a function of temperature at selected mole fractions↗ Enlarge
Figure 1
Viscosity of ethanol-water mixtures as a function of temperature at selected mole fractions

Viscosity of ethanol-water mixtures as a function of temperature at selected mole fractions

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

Activation energy of viscous flow

Arrhenius plots of ln η against 1/T (Figure 2) were linear at every composition (R² > 0.995), confirming that viscous flow in these mixtures can be described as a simple thermally activated process over the temperature range studied. The activation energies extracted from the slopes are summarised in Table 1. The activation energy passes through a maximum of 18.7 kJ mol⁻¹ near x = 0.4, closely mirroring the composition dependence of the viscosity itself. This parallel behaviour supports the interpretation that the same hydrogen-bonded clustering responsible for the viscosity maximum also raises the energy barrier that a molecule must surmount to move to an adjacent site during flow. Away from this composition, in both the water-rich and ethanol-rich regions, the activation energy decreases towards the respective purecomponent values, consistent with progressive breakdown of the mixed hydrogen-bonded structure as either component becomes dilute.

Table 1. Arrhenius activation energy of viscous flow for ethanol-water mixtures
x(ethanol)Ea (kJ mol⁻¹)ln AR²
0.015.8-6.020.997
0.217.9-6.550.996
0.418.7-6.710.995
0.616.6-6.190.997
1.010.4-4.620.998

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Arrhenius activation energy of viscous flow for ethanol-water mixtures↗ Enlarge
Table 1
Arrhenius activation energy of viscous flow for ethanol-water mixtures

Arrhenius activation energy of viscous flow for ethanol-water mixtures

Open full-size image ↗
Original paper tableSource PDF · page 3 ↗
Figure 2. Arrhenius plots (ln η vs. 1/T) for ethanol-water mixtures of varying composition
Arrhenius plots (ln η vs. 1/T) for ethanol-water mixtures of varying composition↗ Enlarge
Figure 2
Arrhenius plots (ln η vs. 1/T) for ethanol-water mixtures of varying composition

Arrhenius plots (ln η vs. 1/T) for ethanol-water mixtures of varying composition

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

Excess thermodynamic quantities

Deviations of ln η from the value expected for ideal (molefraction weighted) mixing were positive across the whole composition range and reached a maximum near x = 0.4, corresponding to a positive excess Gibbs energy of activation for viscous flow, ΔG*E. A positive ΔG*E is generally taken as further evidence of specific, attractive interactions (here, hydrogen bonding) between unlike molecules that are stronger than the average of the interactions in the two pure liquids, consistent with the negative deviations from Raoult's law widely reported for this system.

Conclusion

The viscosity of ethanol-water mixtures and its temperature dependence were measured across the full composition range and analysed within the framework of Arrhenius/Eyring transport theory. Both the viscosity and the activation energy of viscous flow exhibit pronounced maxima near x(ethanol) = 0.4, providing self-consistent dynamic evidence for the formation of hydrogen-bonded ethanol-water clusters that impede molecular flow more strongly than in either pure liquid. The positive excess Gibbs energy of activation for viscous flow across the composition range corroborates this picture and is consistent with the known non-ideal thermodynamics of this system. This work illustrates how simple transport measurements, combined with rate theory, can be used to probe molecular association in binary liquid mixtures.

References

10 in the original paper
  1. Eyring H. Viscosity, plasticity, and diffusion as examples of absolute reaction rates. J Chem Phys. 1936;4:283-291.
  2. Glasstone S, Laidler KJ, Eyring H. The Theory of Rate Processes. New York: McGraw-Hill; 1941.
  3. Kestin J, Sokolov M, Wakeham WA. Viscosity of liquid water in the range -8 to 150 °C. J Phys Chem Ref Data. 1978;7:941-948.
  4. Khattab IS, Bandarkar F, Fakhree MAA, Jouyban A. Density, viscosity, and surface tension of water + ethanol mixtures. Korean J Chem Eng. 2012;29:812817.
  5. Gonzalez B, Calvar N, Gomez E, Dominguez A. Density, dynamic viscosity, and derived properties of binary mixtures of methanol or ethanol with water. J Chem Thermodyn. 2007;39:1578-1588.
  6. Atkins P, de Paula J. Physical Chemistry. 10th ed. Oxford: Oxford University Press; 2014.
  7. Franks F, Ives DJG. The structural properties of alcohol-water mixtures. Q Rev Chem Soc. 1966;20:144.
  8. Vazquez G, Alvarez E, Navaza JM. Surface tension of alcohol + water from 20 to 50 °C. J Chem Eng Data. 1995;40:611-614.
  9. Marcus Y. Ion Solvation. Chichester: Wiley; 1985.
  10. Egorov GI, Makarov DM, Kolker AM. Densities and volumetric properties of ethanol-water mixtures. J Chem Thermodyn. 2013;62:87-97.