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Ionic interactions of copper(II) sulfate in water, aqueous maltose, and aqueous lactose at different temperatures: a volumetric and thermodynamic study

Syed Muhammad Saqib Nadeem*, Rehana Saeed and Moattar Ali
Department of Chemistry, University of Karachi, Room No. 309, 3rd Floor, Karachi-75270, Pakistan. E-mail: smsaqibnadeem@gmail.com

Received 14th May 2025 , Accepted 6th September 2025

First published on 24th September 2025


Abstract

Densities of pure water, aqueous maltose, and aqueous lactose solvents were measured at temperatures of 303.15, 308.15, 313.15, 318.15, and 323.15 K before and after the addition of different concentrations of copper(II) sulfate. The density of water, aqueous maltose, and aqueous lactose solvents increased with the addition of copper(II) sulfate, while an increase in temperature decreased the density. The apparent molar volume (Vϕ) of copper(II) sulfate solutions was calculated from the density data by using a standard mathematical relationship. The Vϕ decreased with the increase in the concentration of copper(II) sulfate and is also affected by the nature of the solvent and temperature. The limiting apparent molar volume (V0ϕ) was evaluated by using Masson's and Redlich, Rosenfeld, & Meyer's equations. The structure-breaking or structure-making behavior of copper(II) sulfate was evaluated by calculating Hepler's constant (δ2V0ϕT2)P. A negative value of Hepler's constant in water and aqueous maltose solvent confirmed the structure-breaking behavior of copper(II) sulfate, whereas a positive value of Hepler's constant in aqueous lactose solvent is indicative of the structuring of the solvent. The limiting apparent molar expansibility (E0ϕ) and isobaric thermal expansion coefficient (αp) were also evaluated from the Vϕ to provide supporting evidence for the obtained conclusions.


1. Introduction

Carbohydrates are a class of organic compounds having a general chemical formula Cx(H2O)y; hence, they are given the name hydrated carbons.1 Maltose and lactose are water-soluble disaccharides that often exist in a monohydrated form, having a white crystalline appearance. Maltose and lactose have the same molar mass, but they differ in monomeric units, chemical bonding, conformational structure, and dipole moment. Maltose and lactose are primary sources of energy for the human body, and salt–sugar solutions are used as an instant source of energy and electrolytes for the human body, especially during exhaustive situations like dehydration, surgical procedures, and sports.2 In recent times, the research focus has been shifted toward the industrial applications of carbohydrates in nutraceutical supplements, therapeutic tools for drug delivery, biomedical materials, pharmaceutical formulations, bioactive substances, prebiotics, and laboratory diagnostic kits.3–8 Carbohydrates such as cellulose, keratin, and fibroin are used for the synthesis of textile fibers, whereas starch, lignin, and chitosan are increasingly used in the production of biodegradable plastics due to their non-cytotoxic behavior and environmentally friendly nature.9,10 Cellulose is used in the paper industry, whereas the polysaccharide extracts of red algae are an essential constituent of many cosmetics.11 Recently, the quest for the development of renewable fuels and energy sources has led to the utilization of carbohydrates as feedstocks for biofuels and industrial chemicals due to their economic feasibility and abundance in the ecosystem.12–16

The concentration of copper in the human body is the third highest among the trace elements after iron and zinc.17 Copper is an essential food mineral for humans because of its role as a catalyst in the synthesis of hemoglobin, iron metabolism, functioning of the nervous system, immune cells, sugar metabolism, and biosynthesis of proteins.18–20 The deficiency of Cu2+ in the human body can often result in slow growth and behavioral disorders, especially in children.21 The industrial applications of copper(II) sulfate are as an additive in frozen and/or packaged foods in trace quantities, as a pesticide in agriculture, as a dye fixative in tannery, as an antifouling agent in paints, and as a raw material in the paper industry.22

The knowledge of volumetric and thermodynamic properties is critical for the design of technological processes, and the storage and transportation of products in the chemical, nuclear, and leather industries.23,24 The measurement of density is a very sensitive and accurate tool for evaluating the volumetric and thermodynamic properties in aqueous and non-aqueous solvents and the nature of ion–ion and ion–solvent interactions in complex electrolyte solutions.25–32 Maltose and lactose are a part of the daily human diet; therefore, a comprehensive understanding of the nature of the interaction of these disaccharides with water and electrolytes from the perspective of volumetric and thermodynamic changes is vital in evaluating their behavior inside the human metabolic system. Much literature is available on the ionic interactions of different electrolytes in water and aqueous maltose solvent by density measurement, but studies on the interaction of salts with lactose in an aqueous medium are very rare, especially from the perspective of structural differences between different disaccharides.33–38 This research work is aimed at investigating the structural changes in the bulk water by the addition of maltose/lactose and copper(II) sulfate and evaluating the physical parameters such as limiting apparent molar volume (V0ϕ), limiting apparent molar volume of transfer (ΔtV0ϕ), limiting apparent molar expansibility (E0ϕ), and isobaric thermal expansion coefficient (αp) for the interaction of these two co-solutes with each other in pure water as a solvent to simulate the interaction of these essential components of human diet inside the human metabolic system in the context of solute–solute and solute–solvent interactions by using density measurements as an investigative tool. The structure-making or structure-breaking behavior of copper(II) sulfate in water and the effect of the structural differences such as the nature of chemical bonding, conformational structure, and polarity between maltose and lactose on the interaction of copper(II) sulfate with water is determined by analyzing the variation in the limiting apparent molar volume (V0ϕ) concerning temperature by evaluating the Hepler's constant whereas the thermodynamic parameters of the electrostatic interactions are also evaluated to provide insight into the volumetric changes associated with the ion-solvation process.

2. Materials and methods

The specifications of the chemicals used in the experimental work are provided in Table 1. The glassware used for the preparation of copper(II) sulfate solutions was of Pyrex A-grade quality (Iso-Lab, Germany) with a tolerance of ±0.1%. The 1.0%, 3.0%, and 5.0% w/v concentrations of aqueous maltose and aqueous lactose solvents were prepared by dissolving the required amount of solid maltose and lactose in double-distilled water at ambient temperature. The copper(II) sulfate solutions with concentrations of 1.0, 3.0, 5.0, 7.0, and 9.0 × 10−2 ± 4.0 × 10−5 (mol kg−1) were prepared by dissolving the required amount of copper(II) sulfate crystals in the solvents. The required temperature of the solutions to be analyzed was achieved by keeping the solvents and solutions in a calibrated thermostatic water bath (Model YCM-01, Taiwan) having a least count of 0.1 °C for 10 minutes. A relative density bottle of 25.0 cm3 capacity with an uncertainty of 0.05 cm3 was used to measure the mass of a fixed volume of solvent and solution by an electronic weighing balance (ATX 224 Shimadzu, Japan) having an accuracy of ±0.01 mg. The density values of the solvent and solution were used to calculate the apparent molar volume of copper(II) sulfate solutions in water, aqueous maltose, and aqueous lactose solvents at temperatures of 303.15, 308.15, 313.15, 318.15, and 323.15 K. The observations were recorded in triplicate, and the uncertainty in the experimental results is expressed along with each value or data set.
Table 1 The specifications of chemicalsa
Chemical Source Purification method Final purity (%) Purity measurement method
a Copper(II) sulfate is toxic and a mild irritant, so it should be handled with gloves.
Copper(II) sulfate E. Merck, Germany Nil 99.98% Purity was mentioned on the packaging
(Blue Crystalline Solid; AR Grade)
Molar mass: 249.69 g mol−1
Density: 2.29 g cm−3
Maltose (White Crystalline Solid; AR Grade) E. Merck, Germany Nil 99.99% Purity was mentioned on the packaging
Molar mass: 360.32 g mol−1
Density: 1.54 g cm−3
Lactose (White Crystalline Solid; AR Grade) E. Merck, Germany Nil 99.99% Purity was mentioned on the packaging
Molar mass: 360.32 g mol−1
Density: 1.55 g cm−3
Double distilled water (Freshly Distilled Water) Indigenously prepared Double distillation 0.06 μS cm−1 Conductivity measurement
Molar mass: 18.02 g mol−1
Density at 30 °C: 0.99565 g cm−3


3. Results and discussion

The density measurements and volumetric analyses were used to evaluate the magnitude and nature of ionic interactions in the copper(II) sulfate solutions in water and different concentrations of aqueous maltose and aqueous lactose solvents. The results are presented in Tables 2–11.
Table 2 Densities of pure water, aqueous maltose, and aqueous lactose solvents at different temperatures and ambient pressurea
Solvent Density (d) (g cm−3)
303.15 K 308.15 K 313.15 K 318.15 K 323.15 K
a The uncertainty in the density data of solvents is in the range of ±0.2%.
Water 0.99565 0.99403 0.99222 0.99021 0.98804
1.0% aqueous maltose 1.01730 1.01400 1.01200 1.00900 1.00700
3.0% aqueous maltose 1.03510 1.02950 1.02670 1.02100 1.01570
5.0% aqueous maltose 1.05300 1.04800 1.04235 1.03313 1.02422
1.0% aqueous lactose 1.03640 1.03400 1.03201 1.03000 1.02500
3.0% aqueous lactose 1.04230 1.04040 1.03811 1.03670 1.03410
5.0% aqueous lactose 1.06002 1.05501 1.04932 1.04300 1.03915


Table 3 Densities of copper(II) sulfate solutions at different temperatures and ambient pressurea
[CuSO4] × 102 (mol kg−1) Density (d) (g cm−3)
303.15 K 308.15 K 313.15 K 318.15 K 323.15 K
a The uncertainty of density data of copper(II) sulfate solutions is in the range of 2.0–2.1 × 10−3 g cm−3.
Water
1.0 0.99714 0.99535 0.99340 0.99127 0.98898
3.0 1.00038 0.99830 0.99611 0.99375 0.99125
5.0 1.00407 1.00161 0.99911 0.99655 0.99390
7.0 1.00794 1.00533 1.00245 0.99955 0.99690
9.0 1.01225 1.00904 1.00615 1.00318 0.99975
[thin space (1/6-em)]
1.0% aqueous maltose
1.0 1.01861 1.01520 1.01309 1.01000 1.00788
3.0 1.02150 1.01795 1.01556 1.01233 1.01011
5.0 1.02480 1.02115 1.01850 1.01499 1.01264
7.0 1.02889 1.02517 1.02215 1.01843 1.01595
9.0 1.03332 1.02925 1.02653 1.02294 1.01988
[thin space (1/6-em)]
3.0% aqueous maltose
1.0 1.03582 1.03009 1.02716 1.02137 1.01596
3.0 1.03771 1.03181 1.02839 1.02246 1.01695
5.0 1.03979 1.03387 1.03010 1.02406 1.01846
7.0 1.04252 1.03630 1.03251 1.02620 1.02041
9.0 1.04550 1.03891 1.03536 1.02895 1.02278
[thin space (1/6-em)]
5.0% aqueous maltose
1.0 1.05316 1.04810 1.04239 1.03313 1.02422
3.0 1.05377 1.04853 1.04273 1.03348 1.02433
5.0 1.05477 1.04943 1.04363 1.03403 1.02489
7.0 1.05607 1.05041 1.04465 1.03500 1.02591
9.0 1.05775 1.05242 1.04607 1.03680 1.02775
[thin space (1/6-em)]
1.0% aqueous lactose
1.0 1.03649 1.03414 1.03222 1.03033 1.02541
3.0 1.03687 1.03485 1.03314 1.03151 1.02666
5.0 1.03747 1.03593 1.03439 1.03314 1.02859
7.0 1.03942 1.03742 1.03633 1.03519 1.03095
9.0 1.04102 1.03942 1.03811 1.03749 1.03343
[thin space (1/6-em)]
3.0% aqueous lactose
1.0 1.04252 1.04074 1.03851 1.03719 1.03467
3.0 1.04343 1.04163 1.03974 1.03863 1.03629
5.0 1.04483 1.04339 1.04151 1.04073 1.03868
7.0 1.04662 1.04511 1.04363 1.04304 1.04125
9.0 1.04876 1.04749 1.04597 1.04538 1.04403
[thin space (1/6-em)]
5.0% aqueous lactose
1.0 1.06044 1.05557 1.04996 1.04376 1.04003
3.0 1.06176 1.05717 1.05180 1.04576 1.04218
5.0 1.06349 1.05939 1.05428 1.04843 1.04511
7.0 1.06565 1.06180 1.05673 1.05122 1.04818
9.0 1.06811 1.06457 1.05992 1.05477 1.05209


Table 4 Three-dimensional variables (Ai) and correlation coefficients (R) of the polynomial relationship between density and temperaturea
[CuSO4] × 102 (mol kg−1) A0 A1 × 104 A2 × 106 R
a The uncertainty of the tabulated data of three-dimensional variables is ±0.2%.
Water
1.0 1.0043 −1.3829 −3.3710 0.9999
3.0 1.0097 −2.2534 −2.8860 0.9999
5.0 1.0174 −4.0742 −1.2570 0.9999
7.0 1.0243 −5.3434 −0.2860 0.9998
9.0 1.0285 −4.9834 −1.4860 0.9997
[thin space (1/6-em)]
1.0% aqueous maltose
1.0 1.0414 −8.9891 4.5700 0.9981
3.0 1.0463 −9.8400 5.2000 0.9987
5.0 1.0505 −10.0731 4.9700 0.9988
7.0 1.0561 −10.5926 5.0900 0.9991
9.0 1.0580 −9.2666 3.2900 0.9988
[thin space (1/6-em)]
3.0% aqueous maltose
1.0 1.0550 −4.6137 −6.3430 0.9964
3.0 1.0605 −6.2197 −4.9430 0.9975
5.0 1.0640 −6.7683 −4.6570 0.9982
7.0 1.0677 −7.0697 −4.7430 0.9978
9.0 1.0697 −6.4629 −5.7710 0.9969
[thin space (1/6-em)]
5.0% aqueous maltose
1.0 1.0487 11.1443 −32.1430 0.9993
3.0 1.0498 10.9740 −32.2000 0.9994
5.0 1.0510 11.0251 −32.5710 0.9992
7.0 1.0554 9.4254 −30.7140 0.9991
9.0 1.0588 8.5560 −29.6000 0.9996
[thin space (1/6-em)]
1.0% aqueous lactose
1.0 1.0299 6.4860 −14.6000 0.9908
3.0 1.0269 8.0023 −15.9400 0.9884
5.0 1.0250 8.9871 −16.3700 0.9857
7.0 1.0311 6.5203 −12.9400 0.9788
9.0 1.0328 6.2466 −12.0900 0.9735
[thin space (1/6-em)]
3.0% aqueous lactose
1.0 1.0516 −2.5471 −1.6290 0.9970
3.0 1.0524 −2.7703 −0.8571 0.9960
5.0 1.0533 −2.7177 −0.3430 0.9937
7.0 1.0556 −3.3163 0.9430 0.9917
9.0 1.0590 −4.0740 2.2000 0.9945
[thin space (1/6-em)]
5.0% aqueous lactose
1.0 1.0995 −14.3889 4.8290 0.9979
3.0 1.0982 −13.1997 3.8570 0.9977
5.0 1.0595 −11.4183 2.3430 0.9970
7.0 1.0984 −11.8011 3.3710 0.9966
9.0 1.0988 −11.1566 3.8460 0.9961


Table 5 Apparent molar volume of copper(II) sulfate solutions at different temperatures
[CuSO4] × 102 (mol kg−1) Apparent molar volume (Vϕ) (cm3 mol−1)
303.15 K 308.15 K 313.15 K 318.15 K 323.15 K
Water
1.0 100.316 ± 0.706 117.433 ± 0.708 131.623 ± 0.709 143.888 ± 0.710 152.264 ± 0.712
3.0 91.290 ± 0.568 106.673 ± 0.569 119.461 ± 0.571 131.334 ± 0.572 142.633 ± 0.573
5.0 80.218 ± 0.539 97.013 ± 0.540 110.898 ± 0.542 122.047 ± 0.543 131.866 ± 0.544
7.0 72.764 ± 0.525 86.819 ± 0.527 102.141 ± 0.528 114.984 ± 0.530 121.955 ± 0.531
9.0 63.650 ± 0.517 81.167 ± 0.518 93.116 ± 0.520 103.814 ± 0.521 118.023 ± 0.523
[thin space (1/6-em)]
1.0% aqueous maltose
1.0 118.699 ± 0.691 129.370 ± 0.694 140.138 ± 0.695 149.081 ± 0.697 161.023 ± 0.699
3.0 109.702 ± 0.556 117.718 ± 0.558 130.392 ± 0.560 137.969 ± 0.561 145.265 ± 0.563
5.0 99.757 ± 0.528 106.404 ± 0.530 119.020 ± 0.531 129.015 ± 0.533 135.946 ± 0.534
7.0 84.484 ± 0.515 90.045 ± 0.516 104.094 ± 0.518 114.065 ± 0.520 120.785 ± 0.521
9.0 72.298 ± 0.506 80.228 ± 0.508 87.820 ± 0.509 94.016 ± 0.511 105.467 ± 0.513
[thin space (1/6-em)]
3.0% aqueous maltose
1.0 173.893 ± 0.680 186.751 ± 0.684 199.459 ± 0.686 208.975 ± 0.689 220.562 ± 0.693
3.0 159.611 ± 0.548 169.495 ± 0.551 189.434 ± 0.553 197.577 ± 0.556 205.180 ± 0.559
5.0 152.974 ± 0.520 159.386 ± 0.523 178.088 ± 0.525 185.281 ± 0.528 191.793 ± 0.531
7.0 141.268 ± 0.508 149.880 ± 0.511 163.522 ± 0.513 172.405 ± 0.516 179.765 ± 0.519
9.0 132.035 ± 0.500 142.573 ± 0.503 150.634 ± 0.505 158.573 ± 0.508 168.393 ± 0.511
[thin space (1/6-em)]
5.0% aqueous maltose
1.0 222.649 ± 0.669 229.117 ± 0.672 235.845 ± 0.676 241.673 ± 0.682 243.776 ± 0.688
3.0 213.809 ± 0.539 222.047 ± 0.542 227.794 ± 0.545 230.665 ± 0.550 240.255 ± 0.555
5.0 204.843 ± 0.513 211.915 ± 0.516 215.709 ± 0.518 224.614 ± 0.523 230.851 ± 0.528
7.0 196.985 ± 0.501 206.423 ± 0.504 208.833 ± 0.507 216.254 ± 0.512 220.398 ± 0.516
9.0 188.663 ± 0.494 192.716 ± 0.497 200.776 ± 0.500 202.749 ± 0.504 205.678 ± 0.509
[thin space (1/6-em)]
1.0% aqueous lactose
1.0 232.512 ± 0.679 226.223 ± 0.548 220.760 ± 0.522 200.162 ± 0.509 192.263 ± 0.502
3.0 228.345 ± 0.681 214.793 ± 0.549 204.984 ± 0.522 195.128 ± 0.510 184.178 ± 0.503
5.0 222.173 ± 0.682 206.343 ± 0.550 196.789 ± 0.523 183.223 ± 0.511 177.250 ± 0.504
7.0 211.234 ± 0.683 194.678 ± 0.551 182.656 ± 0.524 171.656 ± 0.511 162.779 ± 0.504
9.0 204.484 ± 0.687 190.614 ± 0.553 174.638 ± 0.526 161.747 ± 0.514 153.177 ± 0.506
[thin space (1/6-em)]
3.0% aqueous lactose
1.0 217.406 ± 0.675 209.431 ± 0.677 204.248 ± 0.678 195.157 ± 0.679 187.104 ± 0.681
3.0 206.813 ± 0.545 201.868 ± 0.546 189.799 ± 0.547 180.646 ± 0.547 172.816 ± 0.548
5.0 195.286 ± 0.518 184.209 ± 0.519 176.836 ± 0.519 165.205 ± 0.520 155.101 ± 0.521
7.0 183.180 ± 0.506 177.022 ± 0.507 166.455 ± 0.507 155.617 ± 0.508 144.927 ± 0.508
9.0 173.235 ± 0.499 165.557 ± 0.499 158.277 ± 0.500 149.850 ± 0.500 136.538 ± 0.501
[thin space (1/6-em)]
5.0% aqueous lactose
1.0 198.086 ± 0.664 186.250 ± 0.667 179.710 ± 0.671 169.400 ± 0.675 158.645 ± 0.677
3.0 183.623 ± 0.535 171.623 ± 0.537 162.482 ± 0.540 154.407 ± 0.543 146.314 ± 0.545
5.0 173.212 ± 0.509 157.305 ± 0.511 147.155 ± 0.513 138.834 ± 0.516 129.145 ± 0.518
7.0 163.098 ± 0.497 148.557 ± 0.499 140.810 ± 0.501 130.413 ± 0.504 119.770 ± 0.505
9.0 154.367 ± 0.490 139.959 ± 0.491 129.668 ± 0.493 117.840 ± 0.496 105.808 ± 0.497


Table 6 Limiting apparent molar volume of copper(II) sulfate solutions at different temperatures
Concentration of solvent (w/v%) Limiting apparent molar volume (V0ϕ) (cm3 mol−1)
Masson's equation
303.15 K 308.15 K 313.15 K 318.15 K 323.15 K
Water
0 120.613 ± 0.296 137.311 ± 0.336 151.678 ± 0.372 164.342 ± 0.403 176.212 ± 0.432
[thin space (1/6-em)]
Aqueous maltose
1.0% 146.188 ± 0.856 157.818 ± 0.857 170.738 ± 0.836 180.323 ± 0.981 190.836 ± 0.814
3.0% 195.432 ± 0.708 208.381 ± 0.714 227.921 ± 0.720 237.495 ± 0.720 248.460 ± 0.723
5.0% 241.324 ± 0.637 249.401 ± 0.640 255.641 ± 0.646 261.939 ± 0.652 267.511 ± 0.656
[thin space (1/6-em)]
Aqueous lactose
1.0% 258.315 ± 0.665 251.453 ± 0.676 245.703 ± 0.689 236.161 ± 0.709 233.089 ± 0.734
3.0% 242.481 ± 0.680 235.194 ± 0.688 228.601 ± 0.701 219.284 ± 0.713 214.713 ± 0.745
5.0% 221.783 ± 0.683 210.503 ± 0.708 204.578 ± 0.733 196.534 ± 0.758 190.154 ± 0.793

Concentration of solvent (w/v%) Limiting apparent molar volume (V0ϕ) (cm3 mol−1)
Redlich, Rosenfeld, & Meyer equation
303.15 K 308.15 K 313.15 K 318.15 K 323.15 K
Water
0 104.436 ± 0.256 120.734 ± 0.296 134.839 ± 0.330 147.136 ± 0.360 158.226 ± 0.388
[thin space (1/6-em)]
Aqueous maltose
1.0% 126.317 ± 0.740 136.059 ± 0.739 148.833 ± 0.729 158.136 ± 0.860 167.383 ± 0.714
3.0% 177.295 ± 0.643 188.426 ± 0.646 206.925 ± 0.654 215.854 ± 0.655 225.364 ± 0.656
5.0% 226.413 ± 0.597 234.366 ± 0.601 239.874 ± 0.603 246.054 ± 0.610 251.992 ± 0.617
[thin space (1/6-em)]
Aqueous lactose
1.0% 240.848 ± 0.620 232.301 ± 0.624 225.205 ± 0.632 214.382 ± 0.643 209.590 ± 0.660
3.0% 223.002 ± 0.626 215.583 ± 0.631 207.752 ± 0.637 198.003 ± 0.644 191.340 ± 0.664
5.0% 201.917 ± 0.622 189.467 ± 0.638 182.211 ± 0.653 173.755 ± 0.670 166.076 ± 0.693


Table 7 The slope of Masson's equation image file: d5ra03403e-t11.tif and Redlich, Rosenfeld, & Meyer's equation (bv) at different temperatures
Concentration of solvent (w/v%) Slope

image file: d5ra03403e-t12.tif

(cm3 kg1/2 mol−3/2)
303.15 K 308.15 K 313.15 K 318.15 K 323.15 K
Water
0 −183.560 ± 0.450 −186.030 ± 0.456 −189.516 ± 0.464 −193.749 ± 0.475 −198.153 ± 0.485
[thin space (1/6-em)]
Aqueous maltose
1.0% −231.774 ± 1.357 −249.980 ± 1.357 −256.483 ± 1.256 −261.421 ± 1.422 −269.172 ± 1.148
3.0% −204.809 ± 0.742 −220.298 ± 0.755 −243.520 ± 0.769 −249.358 ± 0.756 −260.609 ± 0.759
5.0% −169.282 ± 0.447 −174.098 ± 0.447 −178.302 ± 0.448 −182.537 ± 0.452 −185.227 ± 0.454
[thin space (1/6-em)]
Aqueous lactose
1.0% −206.952 ± 0.532 −216.543 ± 0.582 −228.696 ± 0.641 −242.892 ± 0.729 −264.546 ± 0.833
3.0% −222.805 ± 0.625 −224.125 ± 0.656 −233.084 ± 0.715 −235.492 ± 0.766 −261.054 ± 0.906
5.0% −222.009 ± 0.684 −234.429 ± 0.789 −247.852 ± 0.888 −256.058 ± 0.988 −272.508 ± 1.136

Concentration of solvent (w/v%) Slope (bv) (cm3 kg mol−2)
303.15 K 308.15 K 313.15 K 318.15 K 323.15 K
Water
0 −464.109 ± 1.137 −466.983 ± 1.144 −476.969 ± 1.169 −488.046 ± 1.196 −491.630 ± 1.204
[thin space (1/6-em)]
Aqueous maltose
1.0% −594.920 ± 3.484 −634.833 ± 3.447 −659.962 ± 3.233 −675.724 ± 3.674 −683.791 ± 2.916
3.0% −515.110 ± 1.867 −544.905 ± 1.867 −623.101 ± 1.968 −635.434 ± 1.927 −654.587 ± 1.906
5.0% −428.796 ± 1.131 −447.182 ± 1.147 −450.785 ± 1.147 −466.856 ± 1.157 −486.097 ± 1.191
[thin space (1/6-em)]
Aqueous lactose
1.0% −537.611 ± 1.383 −545.043 ± 1.464 −570.126 ± 1.599 −605.217 ± 1.817 −663.237 ± 2.090
3.0% −564.689 ± 1.585 −568.027 ± 1.661 −581.723 ± 1.785 −583.768 ± 1.898 −650.933 ± 2.259
5.0% −553.551 ± 1.705 −583.284 ± 1.963 −614.068 ± 2.199 −641.130 ± 2.473 −685.461 ± 2.858


Table 8 Standard limiting apparent molar volume of transfer at different temperatures
Concentration of solvent (w/v%) ΔtV0ϕ (cm3 mol−1)
303.15 K 308.15 K 313.15 K 318.15 K 323.15 K
Aqueous maltose
1.0 25.575 20.507 19.060 15.981 14.624
5.0 120.711 112.090 103.963 97.597 91.299
[thin space (1/6-em)]
Aqueous lactose
1.0 137.702 114.142 94.025 71.819 56.877
5.0 100.131 73.192 52.900 32.192 11.782


Table 9 The value of Hepler's Constant in different solvents
Mathematical relationship 2V0ϕT2)P (cm6 mol−2 K−2)
Water 1.0% aq. maltose 3.0% aq. maltose 5.0% aq. maltose 1.0% aq. lactose 3.0% aq. lactose 5.0% aq. lactose
Masson's equation −0.0644 −0.0149 −0.0265 −0.0334 0.0505 0.0362 0.0653
Redlich, Rosenfeld, & Meyer equation −0.0694 −0.0066 −0.0216 −0.0269 0.0501 0.0101 0.0636


Table 10 Coefficients of the polynomial equation of V0ϕ and T in different solvents
Solvent A (cm3 mol−1) B (cm3 mol−1 K−1) C (cm3 mol−1 K−2) R
Water −3896.6364 23.0907 −0.0325 0.9999
1.0% aqueous maltose −2090.5547 12.2013 −0.0159 0.9995
5.0% aqueous maltose −1538.1235 10.1595 −0.0141 0.9999
1.0% aqueous lactose 1717.4787 −8.0932 0.0108 0.9973
5.0% aqueous lactose 2839.3470 −15.2891 0.0129 0.9967


Table 11 Limiting apparent molar expansibilities and isobaric thermal expansion coefficients at different temperatures
Solvent 303.15 K 308.15 K 313.15 K 318.15 K 323.15 K
E0ϕ (cm3 mol−1 K−1)
Water 3.386 3.061 2.736 2.411 2.086
1.0% aqueous maltose 2.561 2.402 2.243 2.084 1.925
5.0% aqueous maltose 1.611 1.470 1.329 1.188 1.047
1.0% aqueous lactose −1.545 −1.437 −1.329 −1.221 −1.113
5.0% aqueous lactose −2.011 −1.792 −1.573 −1.354 −1.135
[thin space (1/6-em)]
αp × 103 (K−1)
Water 28.073 22.292 18.038 14.670 11.838
1.0% aqueous maltose 17.519 15.221 13.138 11.558 10.088
5.0% aqueous maltose 6.674 5.893 5.197 4.534 3.913
1.0% aqueous lactose −5.982 −5.715 −5.410 −5.171 −4.776
5.0% aqueous lactose −9.068 −8.514 −7.690 −6.890 −5.970


3.1. Density

The densities of pure water, aqueous maltose, and aqueous lactose are presented in Table 2. The densities of water are in good agreement with the values reported in the literature.39–41 Densities of copper(II) sulfate solutions having a concentration range from 1.0–9.0 × 10−2 mol kg−1 in water, aqueous lactose, and aqueous maltose at temperatures of 303.15, 308.15, 313.15, 318.15, and 323.15 K are tabulated in Table 3. The uncertainty in the density of solvents and copper(II) sulfate solutions was evaluated from the instrumental uncertainties in the mass and volume measurements by applying eqn (1).
 
Ud = (Um/m + Uv/v) × d (1)
where Um, Uv, and Ud represent the uncertainties in mass measurement, volume measurement, and density measurement, respectively. The density increased with an increase in the concentration of the copper(II) sulfate (solute) and maltose/lactose (co-solute) in the water because both these materials are solids with a higher density as compared to water and produce strong intermolecular attractions in the solution due to their high charge.42 An increase in temperature decreases the density of the copper(II) sulfate solutions because increased thermal agitation raises the kinetic energy of the ions and molecules in the solution, causing an expansion in the volume of the solution and a decrease in the ratio of mass per unit volume.43 The representative plots showing the effect of the nature of the solvent, concentration of copper(II) sulfate, and temperature on the density of solutions are shown in Fig. 1 and 2.

image file: d5ra03403e-f1.tif
Fig. 1 The effect of molality and temperature on the density of aqueous copper(II) sulfate solutions (average error is ±0.20%).

image file: d5ra03403e-f2.tif
Fig. 2 The effect of molality and temperature on the density of copper(II) sulfate solutions in different solvents (average error is ±0.21%).

The linear plots of density versus molality of solution in Fig. 1 and 2 are indicative of a directly proportional relationship between the density of the solution and its molality, which is proof of solute–solvent interaction of significant magnitude. The relationship between the density of a solution and the solute–solvent interaction inside the solution can be explained in the context of the free volume present in the solution. Free volume is the unoccupied space between different molecules in the three-dimensional structure of the bulk solvent and permits molecular movement and molecular interactions. The free volume is very sensitive to the addition of highly charged solute ions and temperature changes. Water is a liquid, and its molecules are rather loosely packed as compared to the solid copper(II) sulfate; therefore, as the concentration of the copper(II) sulfate in the solution is increased, the free volume inside the solution decreases, while an increase in temperature produces a reverse effect. Upon an increase in the molality of the solution, the increased number of charged ions (Cu2+ and SO42−) form a more closely packed ion-molecular network, which strengthens the ion–solvent interactions and decreases the volume of the solution.26,44,45 The increase in density due to the increase in the concentration of maltose and lactose is also due to the same effect because both these molecules have multiple polar sites and interact strongly with water through hydrogen bonding.46

The relationship between the density and temperature of the water is complex due to various contributing factors, such as thermal expansion with the increase in temperature, due to the weakening/breaking/re-forming of hydrogen bonds, accompanied by a change in the structure of water molecules, and three-dimensional packing of water molecules in the bulk liquid. At a constant molality and pressure, the density of the solution and its temperature can be related by a polynomial mathematical model presented in eqn (2).47,48

 
d = A0 + A1(T − 273.15) + A2(T − 273.15)2 (2)
where A0, A1, and A2 are the three-dimensional variables and T is the temperature in kelvin. The values of A0, A1, and A2 presented in Table 4 are obtained by the polynomial plots of density versus temperature (Fig. 3). The correlation coefficient (R) is in the range of 0.974–0.999, confirming the validity of the polynomial relationship between the density of copper(II) sulfate solutions and temperature. This relationship between the density and temperature of water and other liquids is useful in predicting the temperature-dependent behavior and properties of solvents for engineering applications.49


image file: d5ra03403e-f3.tif
Fig. 3 The polynomial relationship of density and temperature in different solvents (the coefficients of the polynomial equation of density vs. temperature and the correlation coefficients are presented in Table 4).

3.2. Apparent molar volume (Vϕ)

The apparent molar volume (Vϕ) is the volume occupied by one mole of a solute in a solution.50 The apparent molar volume of the copper(II) sulfate solution at different temperatures and solvent compositions was measured by using the density of the solvent and solution according to eqn (3).51,52
 
Vϕ = M/d − 1000(ddo)/mddo (3)
where Vϕ is the apparent molar volume of solution in units of cm3. mol−1, d and do represent the density of solvent and solution, respectively, M is the molar mass of solute, and m is the molality of the solution. The possible sources of uncertainty in the value of apparent molar volume (Vϕ) are the uncertainties in the molality and density of the solution. The uncertainty in the molality of dilute solutions (≤0.10 mol kg−1) is typically very low (0.03%) and hence can be ignored in the uncertainty estimation of apparent molar volume (Vϕ). Therefore, the uncertainty in Vϕ has been calculated by considering only the uncertainty in density measurement by using eqn (4).53
 
UVϕ = −(M + 1/m)(Ud/d2) (4)
where UVϕ and Ud represent the uncertainties in the apparent molar volume and density, respectively. The values of apparent molar volume along with their standard uncertainties are tabulated in Table 5, whereas the effect of the molality of solution, temperature, and the concentration of solvent on the apparent molar volume is graphically illustrated in Fig. 4.

image file: d5ra03403e-f4.tif
Fig. 4 The effect of molality on the apparent molar volume of copper(II) sulfate solutions at different temperatures.

The apparent molar volume (Vϕ) is a measure of the volume occupied by the solute molecules in the solution and the volumetric changes in the solution due to the ionic interaction between the different components of the solution.54 The Vϕ provides valuable information about the structure of solute, solute–solvent interactions, and thermodynamic properties of the solution. The magnitude of Vϕ for a specific solute is usually less than its molar volume and is affected by the concentration of the solute and the temperature of the solution.55 The volumetric properties of an electrolyte solution are also affected by the formation of strongly associated ion pairs between highly charged ions like Cu2+ and SO42− due to a decrease in the number of free ions in the solution and decreasing its volume however, this phenomenon is not likely to occur at very low solute concentration of <0.1 mol kg−1 used in our study.

The value of Vϕ is positive at all the experimental conditions, indicating that the solute ions are efficiently solvated due to the presence of strong solute–solvent interactions. The Vϕ of copper(II) sulfate solutions decreases with the increase in the concentration of solute in the solution due to the strong interaction between solute ions and solvent molecules, leading to a compression in the volume of the solution.56 The Vϕ increases with the increase in the experimental temperature in water and aqueous maltose solvent due to the increased thermal agitation of molecules, leading to the weakening of hydrogen bonds and breaking of water molecules from the bulk water structure however, a decrement is observed in the aqueous lactose solvent.57,58 An increase in the concentration of maltose in the solution increased the Vϕ while an increase in the concentration of lactose had the opposite effect.

In an aqueous solution, the net solution volume is affected by the electrostatic interactions between the solute ions and water molecules. Upon addition of a solute to the solvent, the added solute ions occupy the interstitial spaces between the solvent molecules, and the charge of the solute ions forces a rearrangement in its three-dimensional molecular arrangement. This structural rearrangement of molecules in the solvent may either decrease or increase the volume of the solution, depending on the concentration of solute and the nature of the interaction between the solute ions and solvent molecules.59 Similarly, a rise in temperature increases the collisional frequency and the interaction of the solute ions and solvent molecules, causing a contraction in the volume of the solution, while at the same time, thermal expansion also occurs due to the distortion of the bulk solvent structure as a result of the weakening of the intermolecular forces. In our study, the relative decrease in the density of copper(II) sulfate solutions with the rise in temperature in water and aqueous maltose is greater than the respective pure solvents because the thermal expansion has outweighed the contraction in the volume of the solution due to the distortion in the bulk solvent structure caused by the increased solute–solvent interactions. However, in aqueous lactose, one glucose and one galactose molecules are linked through an β-1,4-glycosidic bond giving it an extended structure, and exposed hydroxyl (OH) groups that can interact with the water molecules and solute ions (Cu2+ and SO42−) through hydrogen bonding resulting in a relatively less decrease in the density of the copper(II) sulfate solution in aqueous lactose as compared to the aqueous maltose solvent. Hence, a decrease in the relative increase in density with the increasing concentration of copper(II) sulfate is observed at higher temperatures, resulting in a decrease in the apparent molar volume of the solution.60

3.3. Limiting apparent molar volume and ionic interactions

Limiting apparent molar volume (V0ϕ) can be evaluated by using Masson's equation (eqn (5)) based on the straight-line relationship of the apparent molar volume (Vϕ) and the square root of molality.51,61,62
 
image file: d5ra03403e-t1.tif(5)
where V0ϕ is the limiting apparent molar volume of the copper(II) sulfate solutions and image file: d5ra03403e-t2.tif is the slope of Masson's equation. The plots of Masson's equation were linear with a good correlation coefficient (R) in the range of 0.938–0.999, confirming that Masson's equation is perfectly applicable to the density data of the copper(II) sulfate solutions and indicating a strong positive relationship between the Vϕ and m1/2. The plots of Masson's equation are presented in Fig. 5 and 6, while the values of intercept (V0ϕ) and slope image file: d5ra03403e-t3.tif are presented in Tables 6 and 7, respectively.

image file: d5ra03403e-f5.tif
Fig. 5 A straight-line plot of Masson's equation for the aqueous copper(II) sulfate solutions at different temperatures (R: 0.992–0.996).

image file: d5ra03403e-f6.tif
Fig. 6 A straight-line plot of Masson's equation for the copper(II) sulfate solutions in aqueous maltose and aqueous lactose solvents at different temperatures (R: 0.938–0.999).

The relationship between the apparent molar volume and molality of the solution in the dilute region can also be evaluated by the Redlich, Rosenfeld, & Meyer relationship shown in eqn (6).63,64

 
Vϕ = V0ϕ + AVm1/2 + bvm (6)
where bV is an empirical parameter and AV is the Pitzer–Debye–Huckel limiting slope for apparent molar volume. The values of the Pitzer–Debye–Huckel limiting slope for water at different temperatures have been reported earlier.65 Eqn (6) can be rearranged to evaluate the graphical correlation of the apparent molar volume and molality of the solution as shown in eqn (7).
 
VϕAVm1/2 = V0ϕ + bvm (7)

The plots of the Redlich, Rosenfeld, & Meyer equation (Fig. 7 and 8) were linear with high correlation coefficient (R) values in the range of 0.973–0.998, confirming its applicability to the experimental data. The values of intercept (V0ϕ) and slope (bv) are presented in Tables 6 and 7, respectively. In Masson's and Redlich, Rosenfeld, & Meyer's equation, the V0ϕ represents the solute–solvent interactions, whereas image file: d5ra03403e-t4.tif and bv provide a measure of the solute–solute or ion–ion interactions. A positive value of V0ϕ and a negative value of image file: d5ra03403e-t5.tif and bv indicate that the solute–solvent interactions are stronger than the solute–solute interactions.66 A comparative analysis of the values of limiting apparent molar volume (V0ϕ) calculated by Masson's equation and the Redlich, Rosenfeld, & Meyer equation presented in Table 6 shows that the magnitude of V0ϕ obtained by Masson's equation is relatively higher as compared to the values calculated by the Redlich, Rosenfeld, & Meyer equation however the V0ϕ values obtained by these two equations follow similar trends concerning the temperature and concentration of solvent. Hence, either one or both of these relationships can be used to evaluate the nature of ionic interaction inside the copper(II) sulfate solution in water, aqueous maltose, and aqueous lactose solvents.


image file: d5ra03403e-f7.tif
Fig. 7 A straight-line plot of the Redlich, Rosenfeld, & Meyer equation for the aqueous copper(II) sulfate solutions at different temperatures (R: 0.992–0.997).

image file: d5ra03403e-f8.tif
Fig. 8 A straight-line plot of the Redlich, Rosenfeld, & Meyer equation for the copper(II) sulfate solutions in aqueous maltose and aqueous lactose solvents at different temperatures (R: 0.939–0.999).

Limiting apparent molar volume (V0ϕ) of a solution is a thermodynamic property and represents the value of apparent molar volume at effectively zero concentration of solute. In such a condition, the ion–ion interaction is practically zero because the ions are present at very large distances and are only surrounded by the solvent molecules. Hence, V0ϕ provides a very good approximation of the solute–solvent interactions in a solution and the associated volumetric changes due to the formation of a solvation shell around the solute ions.67 The value of V0ϕ is affected by the charge of the electrolyte ions, the hydration number of solute ions, and the molar composition of the solution.68

The values of limiting apparent molar volume (V0ϕ) of copper(II) sulfate solutions in water obtained in our study are in good agreement with the values reported earlier.69 In the present study, the values of V0ϕ in water increase with the addition of maltose and lactose in the solution because these molecules act as co-solute in the solution. The values of V0ϕ are relatively larger in aqueous lactose solvent as compared to the aqueous maltose solvent due to the difference in the three-dimensional structure of the two different disaccharides and more exposed hydrogen bonding sites in lactose, thereby strongly interacting with the water molecules and producing a positive volume change by pulling out the water molecules from the solvation layer of solute ions. The V0ϕ increased with a rise in temperature in aqueous maltose solvent, whereas it decreased with the increase in temperature in aqueous lactose solvent. An increase in V0ϕ with temperature is due to the increased thermal agitation of molecules in the solution which weakens the electrostatic force of attraction between the water molecules in the bulk solvent so that the water molecules start breaking off from the bulk solvent and more monomeric water molecules are available to solvate the solute ions leading to an increase in the apparent molar volume (V0ϕ) of the solute.59 The decrease of V0ϕ with an increase in temperature is a rather unusual behavior, but such a behavior has been reported in the literature for the aqueous solution of copper(II) sulfate, organic acids, amino acids, drug molecules, and ionic liquids.69–72 The decrease of V0ϕ with an increase in temperature is an indication of the ordering in the bulk solvent structure and the structure-making behavior of solute due to an expansion of the hydrogen bonding network inside the copper(II) sulfate solution by the interaction of lactose molecules with water molecules and solute ions especially SO42− ions due to the presence of multiple hydrogen bonding sites. The variation in V0ϕ with the change in solution temperature can be explained in the light of Frank and Wen's model, as shown in Fig. 9.73,74 This model assumes that the bulk aqueous solutions of electrolytes consist of three distinct regions:


image file: d5ra03403e-f9.tif
Fig. 9 A model of the distortion in bulk solvent structure by the solute ions.

(a) An immobilization region in which the water molecules are strongly attached to the solvated ions.

(b) A random intermediate or structure-breaking region where the inherent three-dimensional structure of water is perturbed.

(c) A structured region where the water exists in its normal state.

The increase in temperature triggers the movement of water molecules from the electrostricted solvation layer of solute ions to the normal region, thereby producing a positive volume change, whereas an increase in temperature also breaks the tetrahedral clustering of water molecules, producing a negative volume change. Upon increase of the solution temperature in the present study, the water molecules move from the solvation sheath of the solute ions to the bulk water producing an increase in the limiting apparent molar volume (V0ϕ) in aqueous maltose but in the case of aqueous lactose, the hydrogen bonding between the water and lactose molecules causes a contraction of the bulk water by disrupting its inherent tetrahedral clustering producing a decrease in the limiting apparent molar volume (V0ϕ). Hence, a continuous decrease in the V0ϕ with the increase in temperature and the concentration of lactose in the solvent is observed.75,76 The ions with high charge, such as Cu2+ pull the water molecules from the structured region to the distorted region, whereas large ions like SO42− easily release water molecules from the distorted region in the near vicinity of the solute ion to the structured region, producing a positive volume change. The SO42− is a complex anion and also promotes hydrogen bonding in bulk water due to the presence of highly electronegative oxygen atoms.77 Hence, it can be concluded that SO42− contributes more to the apparent molar volume (Vϕ) as compared to the Cu2+ ions.

The value of the experimental slope image file: d5ra03403e-t6.tif provides an in-depth view of the magnitude of interactions between solute ions in a solution. A large negative value of image file: d5ra03403e-t7.tif and bv obtained in our study is indicative of very weak solute–solute interactions due to the complete dissociation of the copper(II) sulfate into its constituent ions, Cu2+ and SO42−.78,79 The value of image file: d5ra03403e-t8.tif & bv is affected by the composition and temperature of the solvent because these parameters affect the solvation behavior of the solute. The value of image file: d5ra03403e-t9.tif & bv decreases with the increase in temperature because an increase in the volume of the solution increases the inter-ionic distances and hence the ion–ion interaction decreases with the increase in temperature.

3.4. Limiting apparent molar volume of transfer (ΔtV0ϕ)

The standard apparent molar volume of transfer (ΔtV0ϕ) is the difference in the V0ϕ of the solute when it is transferred from one solvent to another, such as from water to aqueous maltose or aqueous lactose. The ΔtV0ϕ of copper(II) sulfate solutions from water to the aqueous maltose/lactose is calculated by eqn (8).80
 
ΔtV0ϕ = V0ϕ(aqueous maltose/lactose) − V0ϕ(water) (8)

The values of ΔtV0ϕ presented in Table 8 are positive and decrease with an increase in the temperature. The variation of V0ϕ can be interpreted based on structural changes inside the solution in the light of the cosphere overlap model. This model assumes that the ions and molecules in solution are spheres and that when two such species interact with each other, the volume of the solution is affected depending upon the nature of the interacting species due to the displacement of some of the material from the cosphere, producing a change in the volumetric properties of the solution.81–85 Depending upon the nature of the interacting cospheres, there are three possibilities.

(a) If X and Y are both hydrophobic, ΔV < 0.

(b) If X is hydrophobic and Y is ionic or dipolar, ΔV < 0.

(c) If X and Y are both ionic or dipolar, ΔV > 0.

A diagrammatic illustration of the interaction of cospheres is presented in Fig. 10.


image file: d5ra03403e-f10.tif
Fig. 10 The structural interaction between two cospheres.84,85

In our study, copper(II) sulfate is ionic, and maltose/lactose has multiple polar sites; therefore, positive values of the limiting apparent molar volume of transfer (ΔtV0ϕ) are obtained. The limiting apparent molar volume (V0ϕ) of a solution is the contribution of various other volumes as shown in eqn (9).80,86

 
V0ϕ = Vvw + VvoidnVshrinkage (9)
where Vvw is the van der Waals volume, Vvoid is the volume of vacant spaces present in the solution matrix, Vshrinkage is the decrement in the solvated volume of solute due to the interaction of co-solute molecules with the solvent, and n is the potential number of hydrogen bonding sites in the co-solute molecule. If we consider maltose/lactose as a co-solute, then an increase in the concentration of maltose/lactose would cause a slight increase in Vvw due to the presence of polar sites in the molecules but Vvoid and Vshrinkage would decrease because these co-solute molecules will fill some of the vacant spaces present in the solution matrix which will decrease the number of water molecules in the hydration sheath around the Cu2+ and SO42− ions. This decrease in the number of water molecules from the hydration layer of the solute ions reduces the electrostatic constraint on these ions, which decreases the Vshrinkage of the solute, and the V0ϕ of the solution is increased.87 Hence, ΔtV0ϕ values are positive and reflect the dehydration effect of maltose/lactose on the Cu2+ and SO42− ions. A molecular-level structural interpretation of the CuSO4–H2O–maltose/lactose system reveals that there can be four types of interactions.87

(a) Ion–dipole interactions between the Cu2+ ions and the oxygen atoms of water and maltose/lactose.

(b) Ion–dipole interactions between the SO42− ions and the hydrogen atoms of water and maltose/lactose.

(c) Hydrophilic–hydrophilic interactions between the hydroxyl and glycosidic groups of the polar water molecules and maltose/lactose, respectively.

(d) Hydrophobic–hydrophilic interactions between the –CH2 groups of maltose/lactose and the polar water molecules.

The cosphere overlap model states that a, b, and c types of interactions contribute positively, while the d type of interactions contributes negatively to the ΔtV0ϕ. Hence, it can be concluded that the positive values of ΔtV0ϕ are due to the dominance of the interactions of types a, b & c because of the ionic and/or polar nature of the species and/or groups involved in the interaction.88,89

3.5. Structure-breaking/structure-making property of solute

The water molecule has sp3 hybridization and a tetrahedral structure, which makes it one of the most unique liquids in the universe.90 In water and aqueous solutions, the three-dimensional structure of the solution resembles a cage in which the water molecules occupy their fixed positions in the lattice whereas the solute ions are entrapped in the interstitial spaces present between the water molecules, and hence the structure-making and structure-breaking can be imagined as the structuring and breaking down of the cage-like three-dimensional arrangement of water molecules around the solute ions/molecules.91 Limiting apparent molar volume (V0ϕ) is a measure of the solute–solvent interaction, and the structure-making or structure-breaking ability of a particular solute in a specific solvent can be evaluated by studying the variation in the value of V0ϕ with the change in solution temperature.92 However, the most applicable criterion based on the solution thermodynamics for the evaluation of long-range structure-making or the structure-breaking ability of solute concerning a specific solvent system is Hepler's constant (eqn (10)).91,93–96
 
CPP)T = −T2V0ϕT2)P (10)

If the value of (δCPP)T is negative or very small positive, the solute is hydrophilic and behaves as a structure-breaker, whereas a positive value is characteristic of a structure-making hydrophobic solute.91 The value of Hepler's constant for copper(II) sulfate in water, aqueous maltose, and aqueous lactose solvents by utilizing the limiting apparent molar volume (V0ϕ) data obtained by Masson's and Redlich, Rosenfeld, & Meyer equations are presented in Table 9. The value of Hepler's constant in the water and different compositions of aqueous maltose solvent is negative, confirming the structure-breaking behavior of copper(II) sulfate in the aqueous maltose solvent, whereas a positive or very small negative value in aqueous lactose solvent indicates that the copper(II) sulfate behaves as a structure-maker in aqueous lactose solvent. Therefore, it can be concluded with confidence that the behavior of copper(II) sulfate in terms of structure-making or structure-making ability is different in the two solvents used in the present study and that the copper(II) sulfate behaves as a structure-breaker in the aqueous maltose solvent, whereas it acts as a structure-maker in the aqueous lactose solvent. The structure-breaking behavior of copper(II) sulfate has also been reported earlier in water and aqueous dextrose, whereas it has been reported to behave as a structure-maker in an aqueous propylene glycol.69,97

The structure-breaking/promoting behavior of the solute can be rationalized in the light of the Flickering Cluster model.98–100 This model proposes that the bulk water consists of a highly organized molecular region and some free molecules. There is a continuous exchange of water molecules between these two regions, which results in the formation of two different long-lived structures inside the liquid. The bulk water can be viewed as a time-averaged structure in which the monomeric water molecules are in a dynamic equilibrium with the water clusters. Once a solute is added to the solvent, the solute ions/molecules get surrounded by a sheath of water molecules. In the case of hydrophobic solutes with low charge, the solute molecule breaks the water molecules from the bulk, thereby behaving as a structure-breaking solute, whereas in the case of the structure-making solutes, the nature of solute–solvent interaction acts in a way that the structural order of the water is increased, as often observed in the case of solutes with high charge.96

3.6. Thermodynamic parameters

The relationship between the limiting apparent molar volume (V0ϕ) and temperature is rather complex due to its dependence on the nature and concentration of the solution components, and cannot be explained by a simple linear relationship. The temperature dependence of V0ϕ was evaluated by the graphical analysis using a second-order polynomial equation concerning temperature (eqn (11)), and the coefficients of the equation were evaluated.59,101,102
 
V0ϕ = A + BT + CT2 (11)

A representative plot of the polynomial equation of V0ϕ and temperature in water, aqueous maltose, and aqueous lactose solvents is presented in Fig. 11, while the values of its coefficients are tabulated in Table 10.


image file: d5ra03403e-f11.tif
Fig. 11 A plot of the polynomial relationship between limiting apparent molar volume (V0ϕ) and temperature (T) in different solvents (the coefficients of the polynomial equation and the correlation coefficients of V0ϕ vs. T are presented in Table 10).
3.6.1. Limiting apparent molar expansibility (E0ϕ). Limiting apparent molar expansibility (E0ϕ) is the change in the apparent molar volume of a solute concerning temperature. The coefficients of eqn (11) were used to evaluate the limiting apparent molar expansibility (E0ϕ) of the copper(II) sulfate solution by using eqn (12), and the values are presented in Table 11.103,104
 
E0ϕ = (∂V0ϕ/∂T) = B + 2CT (12)

The E0ϕ is the sum of three contributive factors.67,105

 
E0ϕ = E0ϕ(intrinsic) + E0ϕ(electrostatic) + E0ϕ(steric) (13)

The E0ϕ(intrinsic) is the expansibility due to the void space around the ion, E0ϕ(electrostatic) is the expansivity due to a change in the hydration of solute whereas E0ϕ(steric) is the expansivity due to changes in the structure of bulk solvent due to the electrostriction of added ions.67,105 At low temperatures, the structural component E0ϕ(steric) is the major contributing factor to the magnitude of E0ϕ whereas at higher temperatures, the E0ϕ(electrostatic) dominates.

The magnitude of E0ϕ is related to the thermodynamic changes during the solvation of solute ions in the solution and therefore can be used as a marker for evaluating the strength of solute–solvent interactions. The value of E0ϕ is strongly affected by the concentration of solvent and the change in experimental temperature. In water and aqueous maltose, the values of E0ϕ are positive due to the presence of strong solute–solvent interactions in which each solute ion is surrounded by a large number of water molecules, and these values decrease with the rise in temperature per the structure-making behavior.106 The positive value of E0ϕ is due to the increased solvation and electrostriction of the solvent molecules around the solute ions. As the temperature of the solution rises, the degree of hydration of solute ions decreases, resulting in the release of a few water molecules from the solvation shell of the solute to the bulk solvent. This decreased solvation causes the solution to expand a little more rapidly than the pure water, giving positive E0ϕ.107 The decrease of E0ϕ with the increase in temperature in water and aqueous maltose is due to the gradual appearance of the “caging effect” resulting in a more compact packing of the solution components, per the behavior of a structure-breaking solute.108 The negative E0ϕ in aqueous lactose solvent is due to a negative volume change with the temperature rise, per the behavior of a structure-making solute.109 A graphical analysis of the variation in the limiting apparent molar expansibility (E0ϕ) of the copper(II) sulfate solution with temperature is presented in Fig. 12.


image file: d5ra03403e-f12.tif
Fig. 12 The variation of limiting apparent molar expansibility (E0ϕ) with the temperature (T) in different solvents.
3.6.2. Isobaric thermal expansion coefficient (αp). The isobaric thermal expansion coefficient (αp) is the ratio of limiting apparent molar expansibility (E0ϕ) and limiting apparent molar volume (V0ϕ). The αp is a thermodynamic property of a solution and provides valuable information about the changes in the solvent structure upon the addition of solute ions. The isobaric thermal expansion coefficient (αp) for the copper(II) sulfate solution in water, aqueous maltose, and aqueous lactose solvents was calculated by using eqn (14), and the values are presented in Table 11.110,111
 
αp = E0ϕ/V0ϕ (14)

As can be seen from eqn (14), αp and E0ϕ are directly proportional to each other; therefore, the values of αp for the copper(II) sulfate solution exhibit the same trend as that of E0ϕ concerning the experimental temperature and the concentration of solvent. The αp decreased with the rise of temperature in the water, aqueous maltose solvent, due to a decrease in E0ϕ and an increase in V0ϕ, whereas an opposite trend is observed in the aqueous lactose solvent.

4. Conclusion

In the present study, the density, volumetric, and thermodynamic properties of copper(II) sulfate solutions in water, aqueous maltose, and aqueous lactose solvents have been studied. The positive and significantly large value of limiting apparent molar volume (V0ϕ) and negative values of experimental slope image file: d5ra03403e-t10.tif obtained from the plots of Masson's equation and Redlich, Rosenfeld, & Meyer equation indicates that the solute–solvent interactions; copper(II) sulfate-(water-maltose/lactose) are dominant over the solute–solute interactions and the same is confirmed by the positive values of the limiting apparent molar volume of transfer (ΔtV0ϕ). The negative values of Hepler's constant (δ2V0ϕT2)P in water and aqueous maltose solvent confirmed that the copper(II) sulfate behaves as a structure-breaker, while a positive value of Hepler's constant in aqueous lactose solvent confirmed that copper(II) sulfate behaves as a structure-maker. A comparative analysis of the results and conclusions obtained in our study about the physicochemical properties of copper(II) sulfate solutions in water and other solvents, with the reported literature, has also been performed for the supportive evidence. The trends of limiting apparent molar expansibilities (E0ϕ) and the isobaric thermal expansion coefficient (αp) concerning temperature are consistent with the conclusions obtained from the value of Helper's constant.

Conflicts of interest

I hereby declare that there is no conflict of interest regarding this manuscript.

Data availability

The authors declare that the data related to the manuscript entitled “Ionic interactions of copper sulfate in water, aqueous maltose, and aqueous lactose at different temperatures: a volumetric and thermodynamic study” will be made available on request.

References

  1. X. Di, X. Liang, C. Shen, Y. Pei, B. Wu and Z. He, Carbohydrates used in polymeric systems for drug delivery: From structures to applications, Pharmaceutics, 2022, 14, 739–761,  DOI:10.3390/pharmaceutics14040739.
  2. R. Verma, U. Rawat and D. M. Sahu, The long-term effects of sugar consumption on athletic performance, Int. J. Creat. Res. Thoughts, 2024, 12, 300–303 Search PubMed.
  3. S. Kokkinidou, D. Peterson, T. Bloch and A. Bronston, The important role of carbohydrates in the flavor, function, and formulation of oral nutritional supplements, Nutrients, 2018, 10, 742–751,  DOI:10.3390/nu10060742.
  4. J. Wang, D. Wang, Y. Zhang and J. Dong, Synthesis and biopharmaceutical applications of sugar-based polymers: New advances and future prospects, ACS Biomater. Sci. Eng., 2021, 7, 963–982,  DOI:10.1021/acsbiomaterials.0c01710.
  5. S. Okada, H. Nakahara, H. Isaka, T. Taga and K. Miyajima, Separation and identification of amine-carbohydrate reaction product in aqueous solution, Chem. Pharm. Bull., 1987, 35, 2495–2503,  DOI:10.1248/cpb.35.2495.
  6. M. Kilcoyne and K. Joshi, Carbohydrates in therapeutics, Cardiovasc. Hematol. Agents Med. Chem., 2007, 5, 186–197,  DOI:10.2174/187152507781058663.
  7. L. Gu, A. Faig, D. Abdelhamid and K. Uhrich, Sugar-based amphiphilic polymers for biomedical applications: From nanocarriers to therapeutics, Acc. Chem. Res., 2014, 47, 2867–2877,  DOI:10.1021/ar4003009.
  8. P. S. Kumbhar, A. K. Pandya, A. S. Manjappa, J. I. Disouza and V. B. Patravale, Carbohydrates-based diagnosis, prophylaxis, and treatment of infectious diseases: Special emphasis on COVID-19, Carbohydr. Polym. Technol. Appl., 2021, 2, 100052,  DOI:10.1016/j.carpta.2021.100052.
  9. M. T. Islam, M. M. Rahman and N. Mazumder, Polymers for Textile Production, Scrivener Publishing LLC, 2020, pp. 13–59,  DOI:10.1002/9781119620396.ch2.
  10. D. Moshood, G. Nawanir, F. Mahmud, F. Mohamad, M. H. Ahmad and A. A. Ghani, Sustainability of biodegradable plastics: New problem or solution to solve the global plastic pollution?, Curr. Res. Green Sustainable Chem., 2022, 5, 100273,  DOI:10.1016/j.crgsc.2022.100273.
  11. S. Nagar, Hidden role of carbohydrates, Sci. Rep., 2020, 45–48 Search PubMed.
  12. S. Dutta, Catalytic transformation of carbohydrates into renewable organic chemicals by revering the principles of green chemistry, ACS Omega, 2024, 9, 26805–26825,  DOI:10.1021/acsomega.4c01960.
  13. A. A. Loman and L. Ju, Soybean carbohydrate as fermentation feedstock for production of biofuels and value-added chemicals, Process Biochem., 2016, 51, 1046–1057,  DOI:10.1016/j.procbio.2016.04.011.
  14. D. M. Alonso, J. Q. Bond and J. A. Dumesic, Catalytic conversion of biomass to biofuels, Green Chem., 2010, 12, 1493–1513,  10.1039/c004654j.
  15. H. B. Mayes, J. Tian, M. W. Nolte, B. H. Shanks, G. T. Beckham, S. Gnanakaran and L. J. Broadbelt, Sodium ion interactions with aqueous glucose: insights from quantum mechanics, molecular dynamics, and experiment, J. Phys. Chem. B, 2014, 118, 1990–2000,  DOI:10.1021/jp409481f.
  16. F. W. Lichtenthaler and S. Peters, Carbohydrates as green raw materials for the chemical industry, C. R. Chim., 2004, 7, 65–90,  DOI:10.1016/j.crci.2004.02.002.
  17. H. Tapiero, D. M. Townsend and K. D. Tew, Trace elements in human physiology and pathology. Copper, Biomed. Pharmacother., 2003, 57, 386–398,  DOI:10.1016/S0753-3322(03)00012-X.
  18. H. L. Keil and H. V. Nelson, The role of copper in hemoglobin regeneration, Proc. Iowa Acad. Sci., 1932, 39, 163–168 CAS . https://scholarworks.uni.edu/pias/vol39/iss1/33.
  19. J. A. Sigman, H. K. Kim, X. Zhao, J. R. Carey and Y. Lu, The role of copper and protons in heme-copper oxidases: Kinetic study of an engineered heme-copper center in myoglobin, Proc. Natl. Acad. Sci. U. S. A., 2003, 100, 3629–3634,  DOI:10.1073/pnas.0737308100.
  20. O. R. Avram, G. Caragea and C. A. Varzaru, Copper and its role in the human body - The importance of establishing copper concentrations in the body, Rom. J. Mil. Med., 2021, 124, 254–260 Search PubMed.
  21. M. S. Tudosie, et al., The impact of copper in children with attention deficit hyperactivity disorder, Rev. Chim., 2017, 68, 279–283,  DOI:10.37358/RC.17.2.5436.
  22. K. Saravu, J. Jose, M. N. Bhat, B. Jimmy and B. A. Shastry, Acute ingestion of copper sulfate: A review on its clinical manifestations and management, Indian J. Crit. Care Med., 2007, 11, 74–80,  DOI:10.4103/0972-5229.33389.
  23. B. Satheesh and T. S. Jyostna, Volumetric and spectroscopic properties of binary liquid mixtures of isopentyl alcohol with butylamine at T = (288.15-333.15) K, J. Chem. Thermodyn., 2021, 160, 106508,  DOI:10.1016/j.jct.2021.106508.
  24. P. O. O'Connell, R. Gani, M. Paul, P. M. Mathias, G. Gerd Maurer, J. D. Olson and P. A. Crafts, Thermodynamic property modeling for chemical process and product engineering: Some perspectives, Ind. Eng. Chem. Res., 2009, 48, 4619–4637,  DOI:10.1021/ie801535a.
  25. M. A. Jamal, A. Sohail, M. Muneer, G. Abbas, S. Shah and T. A. Sajid, Volumetric-acoustic investigations of antihypertensive drug in aqueous acetaminophen system, J. Mol. Liq., 2024, 398, 124331,  DOI:10.1016/j.molliq.2024.124331.
  26. S. M. S. Nadeem, A volumetric study of ionic interactions of ammonium sulfate in water and aqueous DMF at different temperatures, Chem. Pap., 2022, 76, 4419–4429,  DOI:10.1007/s11696-022-02172-6.
  27. U. M. A. Riyazuddeen, Densities, speeds of sound, and viscosities of (L-proline + aqueous glucose) and (L-proline + aqueous sucrose) solutions in the temperature range (298.15 to 323.15) K, J. Chem. Eng. Data, 2011, 56, 3504–3509,  DOI:10.1021/je2000205.
  28. D. C. Kabiraz, T. K. Biswas, M. N. Islam and M. E. Huque, Studies on molecular interactions of some electrolytes in water by volumetric and viscometric measurements at T = (303.15 to 323.15 K), J. Sci. Res., 2011, 3, 437–444,  DOI:10.3329/jsr.v2i2.6288.
  29. R. Saeed, S. Masood, M. Ashfaq and A. Irfan, Volumetric studies of sodium chloride in aqueous and aqueous maltose systems at different temperatures, J. Chem. Eng. Data, 2009, 54, 3125–3129,  DOI:10.1021/je900195z.
  30. A. Anwar, Shahjahan, Interactions of proline in non-aqueous anionic, cationic, and nonionic surfactants at different temperatures, Acta Phys.-Chim. Sin., 2008, 24, 987–991,  DOI:10.1016/S1872-1508(08)60044-3.
  31. C. Klofutar, J. Horvat and D. Rudan-Tasic, Apparent molar volume and apparent molar expansibility of sodium saccharin, potassium acesulfame, and aspartame, Acta Chim. Slov., 2006, 53, 274–283 CAS.
  32. J. E. Garrod and T. M. Herrington, Apparent molar volumes and temperatures of maximum density of dilute aqueous sucrose solutions, J. Phys. Chem., 1970, 74, 363–370,  DOI:10.1021/j100697a023.
  33. M. A. Jamal, B. Naseem, S. Naz, I. Arif, M. Saeed and S. Atiq, Thermo-acoustic properties of maltose in aqueous amino acids system, J. Mol. Liq., 2020, 309, 112932,  DOI:10.1016/j.molliq.2020.112932.
  34. I. H. Khanlarzadeh, Thermo-acoustical and volumetric studies on interionic interactions of L-histidine in aqueous maltose solutions at different temperatures, J. Mol. Liq., 2018, 271, 421–428,  DOI:10.1016/j.molliq.2018.08.158.
  35. K. H. Kapadnis and A. P. Hiray, Study of structure-making/breaking properties of glucose, fructose, sucrose, and maltose in aqueous KCl at various temperatures, Chem. Sci. Trans., 2013, 2, 485–490,  DOI:10.7598/cst2013.421.
  36. B. R. Brown, S. P. Ziemer, T. L. Niederhauser and E. M. Woolley, Apparent molar volumes and apparent molar heat capacities of aqueous D(+)-cellobiose, D(+)-maltose, and sucrose at temperatures from (278.15 to 393.15) K and at the pressure 0.35 MPa, J. Chem. Thermodyn., 2005, 37, 843–853,  DOI:10.1016/j.jct.2004.12.004.
  37. A. K. Singh and V. K. Singh, Studies on the viscosity behavior of concentrated alkali halides in aqueous maltose solutions, Carbohydr. Res., 1984, 132, 7–17,  DOI:10.1016/0008-6215(84)85059-4.
  38. K. Miyajima, M. Sawada and M. Najagaki, Studies of aqueous solutions of saccharides. II. Viscosity B-coefficients, apparent molar volumes, activity coefficients of D-glucose, maltose, and maltotriose in aqueous solutions, Bull. Chem. Soc. Jpn., 1983, 56, 1954–1957,  DOI:10.1246/bcsj.56.1954.
  39. J. Kestin, M. Sokolov and W. A. Wakeham, Viscosity of liquid water in the range -8 oC to 150°C, J. Phys. Chem. Ref. Data, 1978, 7, 941–948,  DOI:10.1063/1.555581.
  40. Q. Yan, D. Zhiguo, M. Youguang, M. Peisheng and X. Shuqian, Viscosities of pure water, acetic acid + water, and p-xylene + acetic acid + water at different temperatures and pressure, Chin. J. Chem. Eng., 2010, 18, 446–454,  DOI:10.1016/S1004-9541(10)60242-X.
  41. M. S. Alam, A. Baskar and A. M. Siddiq, The density, dynamic viscosity, and kinematic viscosity of protic polar solvents (pure and mixed systems) studies: A theoretical insight of thermophysical properties, J. Mol. Liq., 2018, 251, 458–469,  DOI:10.1016/j.molliq.2017.12.089.
  42. A. Kaur and T. S. Banipal, Probing molecular interactions of an anti-epileptic drug, sodium valproate in aqueous MgCl2 solutions, Fluid Phase Equilib., 2024, 581, 114083,  DOI:10.1016/j.fluid.2024.114083.
  43. B. Hemalatha, P. Vasantharani and K. K. Vijayakumari, Ion-ion and ion-solvent interactions of tetraalkyl ammonium bromide in mixed DMF-water systems at different temperatures, J. Solution Chem., 2009, 38, 947–955,  DOI:10.1007/s10953-009-9422-3.
  44. R. R. Pinto, D. Santos, S. Mattedi and M. Aznar, Density, refractive index, apparent volumes and excess molar volumes of four protic ionic liquids + water at T = 298.15 and 323.15 K, Braz. J. Chem. Eng., 2015, 32, 671–682,  DOI:10.1590/0104-6632.20150323s00003444.
  45. S. Thirumaran and K. Sathish, Molecular interionic interaction studies of some divalent transition metal sulfates in aqueous ethylene glycol at different temperatures, Res. J. Chem. Sci., 2011, 1, 63–71 CAS.
  46. B. R. Breslau and I. F. Miller, On the viscosity of concentrated aqueous electrolyte solution, J. Phys. Chem., 1970, 74, 1056–1061,  DOI:10.1021/j100700a015.
  47. W. G. Xu, Y. Qin, F. Gao, J. G. Liu, C. W. Yan and J. Z. Yang, Determination of volume properties of aqueous Vanadyl sulfate at 283.15 to 323.15 K, Ind. Eng. Chem. Res., 2014, 53, 7217–7223,  DOI:10.1021/ie402040h.
  48. K. Zhao, L. Li, Y. Guo, L. Meng, M. Li, J. Duo and T. Deng, Apparent molar volumes of aqueous solutions of lithium pentaborate from 283.15 to 363.15 K and 101.325 kPa: An experimental and theoretical study, J. Chem. Eng. Data, 2019, 64, 944–951,  DOI:10.1021/acs.jced.8b00814.
  49. K. Gjerstad, Water density-pressure-temperature modeling for drilling fluids in real-time HPHT applications, Geoenergy Sci. Eng., 2025, 244, 213420,  DOI:10.1016/j.geoen.2024.213420.
  50. H. A. Akers and V. E. Tuckler, The molar volume of a solute, Biochem. Educ., 1985, 13, 136–137,  DOI:10.1016/0307-4412(85)90191-8.
  51. D. O. Masson, Solute molecular volumes in relation to solvation and ionization, Lond. Edinb. Dubl. Phil. Mag. J. Sci., 1929, 8, 218–235,  DOI:10.1080/14786440808564880.
  52. M. Shakeel and K. Mahmood, Use of Masson's and Jones-Dole equations to study different types of interactions of three pharmacologically important drugs in ethanol, J. Chil. Chem. Soc., 2020, 67, 1552–1562,  DOI:10.1002/jccs.202000128.
  53. G. R. Hedwig, Thermodynamic properties of peptide solutions 3. Partial molar volumes and partial molar heat capacities of some tripeptides in aqueous solution, J. Solution Chem., 1988, 17, 383–397,  DOI:10.1007/bf00650418.
  54. J. Krakowiak, J. Wawer and A. Farmas, Apparent molar volumes and compressibilities of electrolytes and ions in c-butyrolactone, J. Chem. Thermodyn., 2012, 54, 412–420,  DOI:10.1016/j.jct.2012.05.026.
  55. M. F. Hossain and T. Kuma, Volumetric and viscometric studies on dodecyl trimethylammonium bromide in aqueous and in aqueous amino acid solutions in premicellar region, Monatsh. Chem., 2010, 141, 1297–1308,  DOI:10.1007/s00706-010-0402-5.
  56. A. Pal and S. Kumar, Volumetric studies of some amino acids in binary aqueous solutions of MgCl2.6H2O at 288.15 and 308.15 K, J. Chem. Sci., 2005, 117, 267–273,  DOI:10.1007/BF02709297.
  57. S. Mondal, S. S. Dhondge, L. J. Paliwal, V. M. Tangde and S. P. Jengathe, Physicochemical properties of an anticonvulsant drug sodium valproate in aqueous and in mixed aqueous solutions at different temperatures, J. Chem. Thermodyn., 2015, 90, 147–157,  DOI:10.1016/j.jct.2015.06.025.
  58. K. Sun, P. Li, L. Li, Y. Guo, L. Meng and T. Deng, Apparent molar volumes for Cs2B4O7 aqueous solution at temperatures from (283.15 to 363.15) K and 101 kPa, J. Chem. Thermodyn., 2020, 140, 105895,  DOI:10.1016/j.jct.2019.105895.
  59. P. Mohapatra, S. Panda, D. Mishra, S. Singh and M. Talukdar, Interference of potassium chloride and diammonium hydrogen phosphate on volumetric, viscometric, and spectroscopic properties of aqueous nicotinamide, RSC Adv., 2025, 15, 1813–1830,  10.1039/D4RA06869F.
  60. E. V. Ivanov, V. K. Abrosimov and E. Y. Lebedeva, Apparent molar volumes and expansibilities of H2O and D2O in N, N-dimethylformamide and N, N-dimethylacetamide in the range of T = (278.15 to 318.15) K at p = 0.1MPa: A comparative analysis, J. Chem. Thermodyn., 2012, 53, 131–139,  DOI:10.1016/j.jct.2012.04.007.
  61. K. Rajagopal and S. S. Jayabalakrishnan, Volumetric and viscometric studies of 4-aminobutyric acid in aqueous solutions of salbutamol sulfate at 308.15, 313.15, and 318.15 K, Chin. J. Chem. Eng., 2009, 17, 796–804,  DOI:10.1016/S1004-9541(08)60279-7.
  62. N. Chakraborty, K. C. Juglan and H. Kumar, Volumetric and ultrasonic studies of molecular interactions of PEG 400 and PEG 4000 in aqueous niacin solutions at different temperatures, J. Chem. Eng. Data, 2021, 66, 2391–2400,  DOI:10.1021/acs.jced.0c01091.
  63. O. Redlich and D. M. Meyer, The molal volumes of electrolytes, Chem. Rev., 1964, 64, 221–227,  DOI:10.1021/cr60229a001.
  64. Ł. Marcinkowski, T. Olszewska, A. Kloskowski and D. Warminska, Apparent molar volumes and expansivities of ionic liquids based on N-Alkyl-N-methylmorpholinium cations in acetonitrile, J. Chem. Eng. Data, 2014, 59, 718–725,  DOI:10.1021/je400790d.
  65. J. Ananthaswamy and G. Atkinson, Thermodynamics of concentrated electrolyte mixtures. 4. Pitzer-Debye-Huckel limiting slopes for water from 0 to 100 degree C and from 1 atm to 1 kbar, J. Chem. Eng. Data, 1984, 29, 81–87,  DOI:10.1021/je00035a027.
  66. S. Chauhan, K. Singh, K. Kumar, S. C. Neelakantan and G. Kumar, Drug-amino acid interactions in aqueous medium: volumetric, compressibility, and viscometric studies, J. Chem. Eng. Data, 2016, 61, 788–796,  DOI:10.1021/acs.jced.5b00549.
  67. H. Kumar, M. Singla and H. Mittal, Volumetric, acoustic, and viscometric behavior of dipotassium hydrogen phosphate and disodium hydrogen phosphate in aqueous solution of N-acetyl glycine at different temperatures, J. Chem. Thermodyn., 2016, 94, 204–220,  DOI:10.1016/j.jct.2015.10.017.
  68. Y. P. Cruz, M. A. Esteso and C. M. Romero, Effect of temperature on the partial molar volumes and the partial molar compressibilities of amino alcohols in aqueous solution, J. Chem. Thermodyn., 2021, 160, 106521,  DOI:10.1016/j.jct.2021.
  69. R. C. Thakur, R. Sharma and K. A. Meenakshi, Thermodynamic study of copper sulfate and zinc sulfate in water and binary aqueous mixtures of propylene glycol, Orient. J. Chem., 2015, 31, 363–369,  DOI:10.13005/ojc/310143.
  70. P. K. Thakur, S. Patre and R. Pande, Thermophysical and excess properties of hydroxamic acids in DMSO, J. Chem. Thermodyn., 2013, 58, 226–236,  DOI:10.1016/j.jct.2012.10.022.
  71. R. Rani, S. Rajput, K. Sharma and V. Baboria, Volumetric and viscometric properties of amino acids in aqueous solutions of various drugs at different temperatures: A review, Mol. Phys., 2022, 120, e1992029,  DOI:10.1080/00268976.2021.1992029.
  72. N. H. Krishna, S. Karlapudi, C. B. Kumar, R. L. Gardas, K. Sivakumar and P. Venkateswarlue, Synthesis, spectroscopic characterization, and apparent molar properties of ethanol-ammonium based ionic liquids with DMSO, Chem. Thermodyn. Therm. Anal., 2022, 8, 100076,  DOI:10.1016/j.ctta.2022.100076.
  73. H. S. Frank and W. Wen, Ion-solvent interaction. Structural aspects of ion-solvent interaction in aqueous solutions: A suggested picture of water structure, Discuss. Faraday Soc., 1957, 24, 133–140,  10.1039/DF9572400133.
  74. H. S. Frank and M. W. Evans, Free volume and entropy in condensed systems III. Entropy in binary liquid mixtures; partial molal entropy in dilute solutions; Structure and thermodynamics in aqueous electrolytes, J. Chem. Phys., 1945, 13, 507–532,  DOI:10.1063/1.1723985.
  75. M. A. Motin, Temperature and concentration dependence of apparent molar volumes and viscosities of NaCl, NH4Cl, CuCl2, CuSO4, and MgSO4 in pure water and water + urea mixtures, J. Chem. Eng. Data, 2004, 49, 94–98,  DOI:10.1021/je0340957.
  76. X. Fu, S. Wang, Y. Huang, X. Yang, Q. Liu and Q. Zheng, Densities and apparent molar volumes of diluent solutions of [EmimNTf2], [BmimNTf2], and [BmmimNTf2] in DEGDME and TEGDME, J. Mol. Liq., 2021, 341, 117328,  DOI:10.1016/j.molliq.2021.117328.
  77. I. M. Abdulagatov, A. Zeinalova and N. D. Azizov, Viscosity of aqueous Na2SO4 solutions at temperatures from 298 to 573K and at pressures up to 40MPa, Fluid Phase Equilib., 2005, 227, 57–70,  DOI:10.1016/j.fluid.2004.10.028.
  78. S. S. Dhondge, S. P. Zodape and D. V. Parwate, Volumetric and viscometric studies of some drugs in aqueous solutions at different temperatures, J. Chem. Thermodyn., 2012, 48, 207–212,  DOI:10.1016/j.jct.2011.12.022.
  79. H. Kumar, V. Kumar, S. Sharma, A. A. Ghfar, A. Katal, M. Singla and K. Girdhar, Thermophysical properties of amino acids L-serine and L-leucine in aqueous diammonium hydrogen phosphate solutions: Volumetric and acoustic studies, J. Mol. Liq., 2021, 344, 117780,  DOI:10.1016/j.molliq.2021.1177800.
  80. P. Patyar, G. Kaur and T. Kaur, Volumetric investigations on molecular interactions of glycine/L-alanine in aqueous citric acid solutions at different temperatures, J. Solution Chem., 2018, 47, 2039–2067,  DOI:10.1007/s10953-018-0829-6.
  81. H. L. Friedman and C. V. Krishnan, Studies of hydrophobic bonding in aqueous alcohols: enthalpy measurements and model calculations, J. Solution Chem., 1973, 2, 119–140,  DOI:10.1007/BF00651969.
  82. M. Singh, M. Pandey, R. K. Yadav and H. S. Verma, Thermodynamic studies of molar volume, pair and triplet interactions at increasing side chain length of α-amino acids in aqueous potassium chloride solutions at different concentrations and 310.15 K, J. Mol. Liq., 2007, 135, 42–45,  DOI:10.1016/j.molliq.2006.10.003.
  83. D. C. Kabiraz, T. K. Biswas, M. N. Islam and M. E. Huque, Studies on molecular interactions of some electrolytes in water by volumetric and viscometric measurements at T = (303.15 to 323.15 K), J. Sci. Res., 2011, 3, 437–444,  DOI:10.3329/jsr.v2i2.6288.
  84. G. Lin, R. Lin and L. Ma, The limiting partial molar volume and apparent molar volume of glycylglycine in aqueous KCl solution at 298.15 K and 308.15 K, Thermochim. Acta, 2005, 430, 31–34,  DOI:10.1016/j.tca.2004.12.008.
  85. G. Lin, P. Bian and R. Lin, The limiting partial molar volume and transfer partial molar volume of glycylglycine in aqueous sodium halide solutions at 298.15 K and 308.15 K, J. Chem. Thermodyn., 2006, 38, 144–151,  DOI:10.1016/j.jct.2005.04.012.
  86. F. Shahidi, P. G. Farrell and J. T. Edward, Partial molar volumes of organic compounds in water. III. Carbohydrates, J. Solution Chem., 1976, 5, 807–816,  DOI:10.1007/BF01167236.
  87. K. A. Richu, Apparent molar volume, isentropic compressibilities, viscosity B-coefficients, and activation parameters of thiamine hydrochloride in aqueous solutions of saccharides at different temperatures, J. Chem. Thermodyn., 2020, 150, 106228,  DOI:10.1016/j.jct.2020.106228.
  88. K. Rajagopal and S. S. Jayabalakrishnan, Effect of temperature on volumetric and viscometric properties of homologous amino acids in aqueous solutions of metformin hydrochloride, Chin. J. Chem. Eng., 2010, 18, 425–445,  DOI:10.1016/s1004-9541(10)60241-8.
  89. K. Rajagopal and S. S. Jayabalakrishnan, A volumetric and viscometric study of 4-aminobutyric acid in aqueous solutions of metformin hydrochloride at 308.15, 313.15, and 318.15 K, J. Serb. Chem. Soc., 2011, 76, 129–142,  DOI:10.2298/JSC090616002R.
  90. E. Brini, C. J. Fennell, M. Fernandez-Serra, B. Barbara Hribar-Lee, M. Luksic and K. A. Dill, How water's properties are encoded in its molecular structure and energies, Chem. Rev., 2017, 117, 12385–12414,  DOI:10.1021/acs.chemrev.7b00259.
  91. L. G. Hepler, Thermal expansion and structure in water and aqueous solutions, Can. J. Chem., 1969, 47(47), 4613–4617,  DOI:10.1139/v69-762.
  92. K. Rajagopal, M. M. Roshan, S. Shailajha and G. R. R. Renold, Volumetric approach to the interaction of L-Proline in aqueous Metformin Hydrochloride solutions for temperature range 298.15-318.15 K, J. Chem. Thermodyn., 2019, 133, 312–319,  DOI:10.1016/j.jct.2019.02.012.
  93. A. A. Chialvo, On the solute-induced structure-making/breaking phenomena: Myths, verities, and misuses in solvation thermodynamics, Liquids, 2024, 4, 592–623,  DOI:10.3390/liquids4030033.
  94. S. H. Merza, N. H. Abood, L. S. Jassim and S. S. Hassan, Studying the molecular interactions for potash alum with distilled water solution and aqueous ethylene glycol at different temperatures. Egypt, J. Chem., 2023, 66, 109–113,  DOI:10.21608/ejchem.2023.144422.6327.
  95. S. Sarmad, M. T. Zafarani-Moattar, D. Nikjoo and J. Mikkola, How different electrolytes can influence the aqueous solution behavior of 1-ethyl-3-methylimidazolium chloride: A volumetric, viscometric, and infrared spectroscopy approach, Front. Chem., 2020, 8, 593786,  DOI:10.3389/fchem.2020.593786.
  96. M. Shakeel and K. Mahmood, Thermodynamic and solution properties of sodium valporate in aqueous solution and its interaction with cetyltrimethylammonium bromide (CTAB), J. Mol. Liq., 2019, 285, 158–164,  DOI:10.1016/j.molliq.2019.04.079.
  97. S. K. Lomesh, P. Jamwal and R. Kumar, Molar volume, viscosity, and conductance studies of copper sulfate in some multicomponent solutions (CuSO4.5H2O-dextrose-NaCl-H 2O), J. Indian Chem. Soc., 2006, 83, 156–159 CAS.
  98. M. P. Andersson, The shape of water - how cluster formation explains the hydrophobic effect, J. Mol. Liq., 2024, 400, 124491,  DOI:10.1016/j.molliq.2024.124491.
  99. Y. Gao, H. Fang and K. Ni, A hierarchical clustering method of hydrogen bond networks in liquid water undergoing shear flow, Sci. Rep., 2021, 11, 9542–9555,  DOI:10.1038/s41598-021-88810-7.
  100. M. Riera, E. Lambros, T. T. Nguyen, A. W. Gotz and F. Paesani, Low-order many-body interactions determine the local structure of liquid water, Chem. Sci., 2019, 10, 8211–8218,  10.1039/C9SC03291F.
  101. H. Kumar, S. Kaur, V. Kumar, A. A. Ghfar, A. Katal, M. Sharma and M. Singla, Khyati, Study of the interactions of monosaccharides D(+)-glucose and D(−)-fructose in aqueous diammonium hydrogen phosphate over the temperature range T = (288.15-318.15) K, J. Chem. Thermodyn., 2022, 172, 106793,  DOI:10.1016/j.jct.2022.106793.
  102. R. Prusty, Effect of temperature difference on thermodynamic properties of L-isoleucine in aqueous solutions of thiamine hydrochloride, J. Phys.: Conf. Ser., 2024, 2818, 012043,  DOI:10.1088/1742-6596/2818/1/012043.
  103. D. V. R. Chourey and S. K. Sikarwar, Apparent molar volume, density, and viscometric studies of alcohols in aqueous solution at different temperatures, Int. J. Sci. Res., 2016, 5, 1391–1396 Search PubMed . https://www.ijsr.net/.
  104. N. Sundaramurthy, B. Rajamannan and S. Rajalakshmi, Volumetric, viscometric and compressibility studies of some amino acids in aqueous magnesium nitrate solution at varying temperatures, Int. J. Curr. Res., 2010, 3, 89–93 Search PubMed . http://www.journalcra.com.
  105. F. J. Millero and W. Drost-Hansen, Apparent molal volumes of ammonium chloride and some symmetrical tetraalkylammonium chlorides at various temperatures, J. Phys. Chem., 1968, 72, 1758–1763,  DOI:10.1021/j100851a064.
  106. N. Devunuri, S. Kancherla, B. K. Chennuri and R. L. Gardas, Apparent molar volume and isentropic compressibilities of antidepressant drugs (Citalopram HBr and Escitalopram oxalate) with water, J. Mol. Liq., 2016, 216, 347–353,  DOI:10.1016/j.molliq.2016.01.058.
  107. Z. Gu and J. F. Brennecke, Volume expansivities and isothermal compressibilities of imidazolium and pyridinium-based ionic liquids, J. Chem. Eng. Data, 2002, 47, 339–345,  DOI:10.1021/je010242u.
  108. H. Shekaari and E. Armanfar, Apparent molar volumes and expansivities of aqueous solutions of ionic liquids, 1-alkyl-3-methylimidazolium alkyl sulfate at T = (298.15-328.15) K, Fluid Phase Equilib., 2011, 303, 120–125,  DOI:10.1016/j.fluid.2011.01.001.
  109. S. Patre, P. Thakur and R. Pande, Steric parameters and excess properties of hydroxamic acids, J. Chem. Thermodyn., 2012, 54, 118–128,  DOI:10.1016/j.jct.2012.03.020.
  110. M. J. Iqbal and M. A. Chaudhry, Volumetric and viscometric studies of antidepressant drugs in aqueous medium at different temperatures, J. Chem. Eng. Data, 2009, 54, 2772–2776,  DOI:10.1021/je8008864.
  111. M. J. Iqbal and M. A. Chaudhry, Effect of temperature on volumetric and viscometric properties of some non-steroidal anti-inflammatory drugs in aprotic solvents, J. Chem. Thermodyn., 2010, 42, 951–956,  DOI:10.1016/j.jct.2010.03.009.

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