Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Assessment of the interaction between sodium dodecyl sulfate and trypsin enzyme through micellization and thermodynamic analysis

Md Al Amin Hossaina, Ripa Aktera, Md. Nasir Uddina, Md. Tuhinur R. Joya, Bulbul Ahmedb, Dileep Kumar*cd, Md Abdul Gonie, K. M. Anis-Ul-Haquea, Md. Anamul Hoqueb and Ajamaluddin Malikf
aDepartment of Chemistry, Jashore University of Science and Technology, Jashore 7408, Bangladesh
bDepartment of Chemistry, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh
cLaboratory for Chemical Computation and Modeling, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Vietnam. E-mail: kumar.dileep@vlu.edu.vn
dFaculty of Applied Technology, Van Lang School of Technology, Van Lang University, Ho Chi Minh City, Vietnam
eDepartment of Biological and Physical Sciences, South Carolina State University, Orangeburg, SC 29117, USA
fDepartment of Biochemistry, College of Science, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia

Received 11th October 2025 , Accepted 4th March 2026

First published on 18th March 2026


Abstract

This study investigates the micellization behavior of a system comprising sodium dodecyl sulfate (SDS) and a biologically relevant protein, trypsin as well as the effects of different sodium salts and temperature on that system. The results reveal complex interactions among the surfactants, enzymes, and electrolytes, providing insights into the physicochemical mechanisms governing protein–surfactant systems. By systematically varying the concentrations of sodium salts (NaBr, CH3COONa(NaOAc), Na2SO4, and Na3PO4) and modulating the temperature from 290.55 K to 320.55 K, this research explores the self-association of SDS in the presence of trypsin. Conductometric analysis shows that sodium electrolytes reduce the critical micelle concentration (CMC) values of SDS, thereby enhancing micellization. Temperature influences this effect by generally favoring the micelle formation at lower temperatures while destabilizing the micelles at higher temperatures. The Gibbs free energy change image file: d5ra07779f-t1.tif was found to be consistently negative (from −31.40 to −34.88 kJ mol−1), indicating the spontaneity of the micellization. Temperature-dependent variations in standard enthalpy image file: d5ra07779f-t2.tif and entropy image file: d5ra07779f-t3.tif reveal that the entropy changes control the micelle formation at lower temperatures, while at higher temperatures, both entropy and enthalpy jointly control the process. Further, a molecular docking study was carried out using the CB-Dock2 online docking server with AutoDock Vina, which confirmed the binding interactions between the SDS surfactant and the trypsin protein. These findings have implications for biochemical processes, pharmaceutical formulation, and enzyme-based applications, where protein–surfactant interactions are critical.


1. Introduction

Protein–surfactant interaction study is a vital research area for various applications, such as biotherapy,1,2 food processing,3–7 cosmetics,8 enzyme stabilization,9 and pharmaceutical formulation.10 Amphiphilic molecules such as surfactants can significantly impact protein metabolism by affecting aggregation, denaturation, and activity modulation.11–14 While a specific group of surfactants can refold denatured proteins or stabilize enzymes in harsh environments, which is critical for industrial applications,15,16 others can destabilize proteins by disrupting hydrophobic interactions, potentially impairing biological functions. These processes are governed not only by hydrophobic interactions but also by supramolecular forces, such as electrostatic (ion–ion), hydrogen bonding,17 ion-dipole,13 and dipole–dipole interactions.1,18,19 These forces collectively determine the binding affinity, structural conformation, and functional properties of protein–surfactant complexes.20,21 Hence, good understanding of the types of interactions between proteins and surfactants is crucial for investigating a wide range of physico-chemical and biological processes.20,22 More specifically, surfactants can alter the structure, stability, and functionality of essential proteins such as enzymes, resulting in enhanced stability in specific formulations or destabilization of the enzymes by disrupting the geometry of the active site.16,23 Such interference may impair the enzyme's metabolic action, leading to reduced catalytic efficiency or complete inactivation, which can have critical implications in pharmaceutical formulations and biotechnological processes.1,24 Surfactants can affect enzyme activity in two primary ways: first, by directly binding to the enzyme, which influences its structure (secondary and tertiary) and flexibility, thus altering its ability to catalyze reactions, and second, by modifying the environment in which the enzyme functions.22,25 In the presence of surfactants, they tend to adsorb on surfaces or incorporate into membranes, significantly affecting interfacial and membrane-bound enzymes. Surfactants can also protect enzymes from denaturation induced by surfaces by altering the characteristics of the surface, offering a protective effect.

Trypsin is a serine protease enzyme that catalyzes the breakdown of proteins into smaller peptides in the digestive system.26,27 The pancreas secretes trypsinogen as an inactive precursor of trypsin, which is activated by enterokinase in the small intestine.28 Trypsin is essential for the digestion of dietary proteins and for the activation of other digestive enzymes. In addition to its digestive role, trypsin is used in various biotechnological applications, such as cell culture29 to dissociate adherent cells from culture vessels and protein purification to remove fusion tags in recombinant protein production. Trypsin's activity is highly dependent on its structural integrity and the surrounding ionic environment, making it sensitive to pH, temperature, and the presence of cofactors, inhibitors or surfactants.8 SDS, an anionic surfactant, significantly influences enzyme structure, solubility, stability, and function.30–33 Drug formulation is another important sector where SDS is actively involved to upgrade the activity of the drug molecule.34,35 Studies have shown that SDS binds to trypsin, where SDS can induce structural alterations in trypsin, affecting its stability and function.32,36 Additionally, microcalorimetric studies have measured the binding of SDS to trypsin at different pH levels, revealing cooperative binding behavior and enthalpy changes associated with protein unfolding.37 The partial unfolding of trypsin exposes buried active sites or functional domains, which might be beneficial for specific biochemical or industrial applications. The degree of these effects depends on different features such as SDS concentration, pH, temperature and ionic environment.

Salts can alter electrostatic interactions between trypsin and surfactants.38 The electrolyte effects on the micellization of surfactants can be interpreted by studying their positions in the Hofmeister series (lyotropic series).39–42 Different ions in the series have different abilities to influence various properties of water, proteins, and other characteristics of surfactant solutions, such as the critical micelle concentration (CMC), aggregation number, and stability of micelles.40 Depending on their position in the lyotropic series, ions can enhance or disrupt the hydrogen-bonding network of water.42 Ions that are higher in the Hofmeister series, known as kosmotropes, can strengthen the hydrogen-bonding network of water and enhance its structure. Conversely, chaotropic ions, which rank lower in the series, can weaken the water network by disrupting water's hydrogen bonds, thereby affecting the behavior of surfactants.41 Temperature also plays a vital role by influencing the flexibility of enzymes and surfactants, enhancing their interactions at higher temperatures, while excessive heat may cause enzyme denaturation and reduce surfactant efficacy. Numerous studies have previously investigated the interactions between the SDS surfactant and the trypsin protein.32,36 However, none of them attempted to assess the association nature of SDS with trypsin protein and the thermodynamic relations of the respective system in detail in the presence of sodium electrolytes. Trypsin is not used as a drug carrier, but surfactants are utilized as drug carriers. Additionally, the study of the interactions between surfactants and trypsin to understand the additive effects (such as electrolytes) on micelle formation is essential, as real-world systems, including pharmaceutical formulations, personal care products, food items, and surfactant solutions in industrial applications (such as petrochemistry), are not merely pure aqueous solutions but rather solutions containing a specific quantity of additives. Our primary aim was to demonstrate the interactions between these two components (surfactant and trypsin) in both aqueous and aqueous electrolyte solutions.

This study aimed to examine the potential interactions between SDS and trypsin protein in the presence of several sodium salts (NaBr, Na2SO4, Na3PO4, and NaOAc). Conductometric experiment investigates the impacts of temperature and the ionic environment, concentrating on notable alterations that affect trypsin + SDS micellization behavior by changing the ionic profile (sodium electrolytes) and concentration (0.05–8.00 mmol kg−1). The measurements were conducted within the temperature range of 290.55–320.55 K, with intervals of 5 K. Molecular docking simulations were also performed to investigate how SDS might bind to trypsin. This analysis aimed to identify potential binding sites. To characterize the aggregation of the SDS + trypsin mixture, various physicochemical parameters and various thermodynamic quantities were determined. The enthalpy–entropy compensation of micellization was determined and discussed in detail to investigate the trypsin + SDS interaction in the presence or absence of sodium-based salts at a certain concentration and temperature. Understanding these dynamics is essential for optimizing enzyme–surfactant systems in various industrial and research applications.

2. Materials and methods

2.1. Materials

Several chemicals (Table 1) were utilized in this study to carry out the experimental procedures and analyses. Double-distilled water (specific conductivity <1.50 µS cm−1) was used to prepare the solutions of trypsin and SDS with and without electrolytes.
Table 1 Detailed information regarding the materials utilized in this research
Chemical Origin Mass fraction purity CAS no. Molecular weight (g mol−1)
SDS Sigma Aldrich, USA 0.99 151-21-3 288.38
Trypsin Sigma Aldrich, Switzerland 0.99 9002-07-7 23300.0
NaBr Duksan Pure Chemicals Co., Ltd., South Korea 0.98 7647-15-6 102.91
Na2SO4 Scharlau Chemicals, Spain 0.99 7757-82-6 142.04
Na3PO4 Merck, Mumbai, India 0.98 7601-54-9 163.94
NaOAc Research-Lab Fine Chem Industries, Mumbai, India 0.99 127-09-3 82.03


2.2. Methods

2.2.1. Conductometric study. Trypsin is soluble in water,27,32 and trypsin solutions were prepared in percentage units from 0.005 to 2.5, considering a w/w basis. The SDS (50 mmol kg−1) solutions were prepared freshly in an aqueous solution of trypsin enzyme with a fixed concentration. To study the effect of electrolytes on micellization, a separate series of SDS + trypsin mixtures were then prepared by adding varying concentrations of the selected sodium electrolytes. The pH of the stock solution of SDS with trypsin, both with and without electrolytes, was found to be approximately 7.40–7.50. All prepared solutions were equilibrated at each temperature for a minimum of 15 minutes before measurement. Conductivity measurements were accomplished using a digital conductivity meter armed with a calibrated conductivity cell (cell constant: 0.987 cm−1). All experiments were conducted at the mentioned temperature, which was controlled using a thermostatic water bath (Lauda RM6) with a precision of ±0.2 K. The measurements were taken by gradually adding SDS to a thermostated sample cell/test tube containing the enzyme-electrolyte mixture and recording the conductivity after each addition. We repeated the experiment twice to confirm the achieved results, and the errors were within ±1%. A plot of specific conductivity (κ) vs. SDS concentration was employed to determine the CMC using Origin Software. The CMC was identified at the inflection point, where the slope of the conductivity curve changed markedly. Furthermore, the thermodynamic parameters of micellization were calculated using established thermodynamic relationships based on temperature-dependent CMC data in Microsoft Excel.
2.2.2. Molecular docking. The molecular interaction between bovine trypsin (PDB: 1HJ9) and SDS (PubChem CID: 3423265) was investigated via blind docking using the CB-Dock2 server. This tool employs curvature-based cavity detection, AutoDock Vina for docking simulations, and homologous template fitting to improve the predictive accuracy for binding sites and ligand poses.43 CB-Dock2 automatically identified potential binding cavities on trypsin, with the top five selected for docking. AutoDock Vina generated binding conformations and associated affinity scores, where lower Vina scores signify stronger predicted binding. The resulting SDS + trypsin complexes were visualized using the CB-Dock2 tool. This analysis provided detailed structural insights into the SDS + trypsin interface, contributing to the understanding of protein–surfactant interactions.

3. Results and discussion

3.1. Conductometric investigation

3.1.1. Evaluation of CMC and β for the SDS + trypsin system. Assessment of the CMC and the degree of micelle ionization (α) for the SDS + trypsin system is pivotal in unrevealing insights into the influence of trypsin on micelle formation, stability, and interfacial behavior. Although various techniques can determine CMC, including UV-Vis spectroscopy,38,44 fluorescence,32,45 isothermal titration calorimetry (ITC),46 surface tension,47 conductivity,48,49 viscosity,32,50 and sound velocities, conductivity measurement offers a less complex, faster, and more reliable method for data acquisition.51 In our previous investigations,48,49 we analyzed the outcome of gastric enzyme pepsin on the aggregation of SDS and tetradecyltrimethylammonium bromide (TTAB) in the presence of sodium salts. Since the aggregation properties of surfactants depend on the nature and extent of solutes (drug, dye, protein, polymer, etc.), inorganic/organic additives, solvents mixture, etc., we meticulously analyzed the interactions between SDS and trypsin, both with and without sodium electrolytes, using conductivity measurements in this study. The CMC of the SDS + trypsin system was identified by plotting conductivity as a function of surfactant concentration and pinpointing the inflection point, where a distinct change in the slope of the curve indicated the beginning of micelle formation (Fig. 1). At low SDS concentrations, the conductivity increases linearly with surfactant concentration (Fig. 1) because SDS dissociates into highly mobile ions (Na+ and DS) and contributes to an increase in conductivity.52 As the concentration of SDS approaches the CMC point, the rate of conductivity increase begins to slow down due to the formation of a micelle where individual DS ions undergo aggregation, reducing the free ions available to conduct electricity. The conductivity still increases, but at a slower rate, as aggregate molecules with larger structures move more slowly compared to individual ions.
image file: d5ra07779f-f1.tif
Fig. 1 Representative plot of the specific conductivity vs. SDS concentration for a mixture of SDS and 0.5% (w/w) trypsin in 1.0 mmol kg−1 NaBr at 310.55 K.

The interaction between counterions and the micelle surface (Helmholtz layer) reduces the overall micelle charge density.53 Therefore, the steep slope of the conductivity curve before the CMC reflects SDS dissociation, while the flattening after the CMC indicates micelle formation, where the conductivity is slightly influenced by the free surfactant ion concentration. Physicochemical parameters such as the degree of ionization (α) and counter-ion binding (β), linked to the CMC, provide insight into the micellization process and its stability. These parameters can be determined graphically from the conductivity vs. concentration curve (Fig. 1). The different evaluated physicochemical parameters are depicted in Table 2.

Table 2 CMC, XCMC, β, and image file: d5ra07779f-t4.tif values for the mixture of SDS and trypsin in aqueous and numerous aq. sodium salt systems at 310.55 K
Medium Ctrypsin (% (w/w)) Csalt (mmol kg−1) Isalt (mmol kg−1) CMC (mmol kg−1) XCMC (×104) S1 S2 β

image file: d5ra07779f-t5.tif

H2O 0.005 0 0 8.28 1.49 64.61 32.30 0.50 −34.12
0.1 8.31 1.50 64.15 32.08 0.50 −34.11
0.5 8.45 1.52 64.83 33.08 0.49 −33.82
1 8.75 1.58 119.8 63.51 0.47 −33.23
1.5 9.95 1.79 110.3 61.75 0.44 −32.07
2.5 11.28 2.03 108.5 61.84 0.43 −31.39
H2O + NaBr 0.5 0.05 0.05 7.32 1.32 66.04 33.50 0.49 −34.37
0.1 0.1 7.26 1.31 127.5 66.31 0.48 −34.17
1 1 6.98 1.26 55.59 29.79 0.46 −33.86
3 3 6.65 1.20 53.14 29.23 0.45 −33.80
5 5 6.42 1.16 49.99 26.50 0.47 −34.40
8 8 6.11 1.10 60.07 31.30 0.48 −34.83
H2O + NaOAc 0.5 0.05 0.05 7.36 1.33 64.38 32.83 0.49 −34.35
0.1 0.1 7.28 1.31 66.34 34.66 0.48 −34.16
1 1 7.16 1.29 67.14 33.57 0.50 −34.68
3 3 6.86 1.24 119.3 62.05 0.48 −34.39
5 5 6.62 1.19 60.84 32.85 0.46 −34.06
8 8 6.35 1.14 51.83 28.50 0.45 −33.98
H2O + Na2SO4 0.5 0.017 0.05 7.28 1.31 131.4 67.16 0.49 −34.39
0.033 0.1 7.22 1.30 126.3 66.99 0.47 −33.96
0.333 1 6.9 1.24 120.4 64.60 0.46 −33.90
1.000 3 6.56 1.18 118.9 65.73 0.45 −33.86
1.667 5 6.32 1.14 115.9 63.76 0.45 −34.00
2.667 8 5.98 1.08 118.7 67.67 0.43 −33.73
H2O + Na3PO4 0.5 0.008 0.05 7.26 1.31 65.01 33.16 0.49 −34.40
0.017 0.1 7.18 1.29 65.01 33.81 0.48 −34.21
0.167 1 6.81 1.23 69.13 34.54 0.50 −34.88
0.500 3 6.48 1.17 69.27 36.33 0.48 −34.60
0.833 5 6.22 1.12 68.11 36.78 0.46 −34.29
1.333 8 5.87 1.06 126.4 69.33 0.45 −34.27


In the pre-micellar region, where surfactants exist primarily as monomers or small aggregates, conductivity increases linearly with concentration with a steeper slope, S1. However, beyond CMC, micelle formation causes a significant decrease in conductivity, which is represented by the less steep slope, S2. The parameter α can be calculated using these slopes from the following relation: α = S2/S1.48 Here, α offers a quantitative measure of the change in the system's behavior as surfactant molecules transition from pre-micellar to post-micellar conditions.54 The value of α indicates the magnitude of this transition; larger α values suggest a more abrupt change in the system's properties, while smaller values indicate a more gradual shift.55 Furthermore, α can be used to determine the value of β using the formula β = 1 − α,56,57 which is a good indicator for micellar stability.58 In this study, the obtained β values correlate directly with the micellar characteristics of the SDS and trypsin mixed systems; the values decreased with the increase in trypsin concentration (Table 2). This interference often results in increased CMC and reduced micellization efficiency.

The CMC initially increased slowly with increasing concentrations of trypsin protein (0.005–1.00%) (Table 2 and Fig. 2). However, a rapid rise in CMC was observed at higher concentrations (1.00–2.50%). This phenomenon can be attributed to trypsin's interference with surfactant aggregation, which hinders micelle formation.49,59 Similar results of the enhancement of CMC values for SDS and TTAB assembly by the introduction of pepsin have been reported in our previous studies in an aqueous environment.48,49 Trypsin can hinder the micellization of surfactants, like SDS, through various mechanisms.27,36 It can bind to negatively charged surfactant monomers via electrostatic interactions, reducing the availability of free monomers needed for micelle formation.27 This interaction effectively inhibits aggregation, leading to an increase in the CMC. Trypsin can also interfere with these hydrophobic interactions,36 hindering micellization. The hydrophobic regions of trypsin may interact with the hydrophobic tails of surfactant molecules, competing for the available space and disrupting the natural organization of surfactants into micelles. Additionally, trypsin can form stable protein–surfactant complexes,32,36 which compete with micelle formation and alter the typical structure and size of micelles. One of the previously published works36 describes the interactions between SDS and trypsin by applying different methods along with conformational changes and stability of trypsin, but they did not analyze the association behavior of SDS with trypsin and the thermodynamics of the system in the presence of electrolytes to illustrate the micellization and the interactions that we elaborately did in the current study.


image file: d5ra07779f-f2.tif
Fig. 2 Plot for the variation of the CMC of SDS with alteration in trypsin concentration in an aqueous system at 310.55 K.
3.1.2. Impression of sodium-based electrolytes on the CMC of the trypsin + SDS system. The human body contains a variety of electrolytes.60 In the presence of amphiphilic substances, the concentration of active compounds within the cellular membranes can vary.61–63 This variability of electrolyte concentrations across cellular membranes can differentially affect the interaction of enzymes, drugs, and surfactants. Consequently, the incorporation of salts into pharmaceutical formulations is crucial for enhancing the solubility and bioavailability of hydrophobic therapeutics and enzyme-mediated drug release. In addition, small changes in NaCl concentration, as low as 1–3 mmol L−1 (or mmol kg−1) in serum, can affect the human body by increasing blood pressure, contributing to hypertension, and signaling significant water retention. Changes greater than 5–10 mmol L−1 within 24 hours are considered clinically dangerous, causing neurological symptoms like seizures, coma, and potential brain damage.64 Therefore, it is crucial to investigate the effects of varying electrolyte concentrations on the interactions that occur between trypsin and surfactant complexes.

In this study, we selected electrolytes (NaBr, NaOAc, Na2SO4, and Na3PO4) containing sodium cations and varying anions. Various concentrations of electrolytes were selected (NaBr from 0.05 to 8.00 mmol kg−1, NaOAc from 0.05 to 8.00 mmol kg−1, Na2SO4 from 0.02 to 2.50 mmol kg−1, and Na3PO4 from 0.01 to 1.50 mmol kg−1) to examine the effect of these salts on the association process of SDS + trypsin systems at a specific temperature. To enable a clear comparison between electrolytes, a constant ionic strength was maintained across the range of electrolytes used (Table 2). Our results demonstrate that introducing electrolytes into the SDS + trypsin system significantly affects the aggregation process. The reduction in CMC values upon electrolyte addition facilitated the association of SDS with trypsin (Fig. 3). At an identical ionic strength of all salts used, the CMC values for the studied system satisfy the following order: CMC (NaOAc) > CMC (NaBr) > CMC (Na2SO4) > CMC (Na3PO4). Electrolytes with anions of higher charge (SO42− and PO43−) more readily facilitate micellization than those with singly charged anions (OAc and Br) although OAc is an organic anion with a mechanistically different behavior in surfactant solutions. Therefore, this study suggests that the higher the charge of anions for the three anions used (Br, SO42−, and PO43−), the higher the effect in decreasing the CMC. This finding is supported by the literature, which indicates that these electrolytes promote surfactant aggregation.49,54,65 In our previous studies, we observed a decrease in the CMC values of SDS and TTAB surfactants when the pepsin protein was present in aqueous sodium salt media.48,49


image file: d5ra07779f-f3.tif
Fig. 3 Plots for the CMC variation of SDS with 0.5% (w/w) trypsin in aqueous solutions of sodium salt media at 310.55 K.

Electrolytes significantly alter surfactant properties by reducing the electrical double layer potential of the micelle and the viscosity of the solution.66 They also compress the electrical double layer surrounding the charged head groups of surfactant molecules, diminishing electrostatic repulsion between surfactants.67,68 Consequently, the surfactant molecules form micelles at a lower surfactant concentration. Because electrostatic interactions do not influence the hydrophobic effect due to surfactant molecules, both effects are independent. Additionally, electrolytes decrease solution viscosity by disrupting the structured hydration shell around the ionic head groups, leading to easier aggregation of surfactant monomers, which supports our study. For example, Na2SO4 and Na3PO4 are kosmotropic salts,40,42 which facilitate micelle formation by reducing the hydration of surfactant headgroups and lowering CMC. Na3PO4, with a stronger kosmotropic effect compared to Na2SO4, exerts an even stronger micelle-promoting effect. In contrast, organic salt NaOAc has a weaker kosmotropic effect; therefore, it offers moderate micellization. NaBr is a chaotropic salt that destabilizes micelle formation by increasing hydration and the CMC. This reflects the varying abilities of salts to influence water structure and ionic interactions, with kosmotropes promoting aggregation and chaotropes hindering it.40

Kosmotropic multivalent ions, like PO43− and SO42−, can decrease electrostatic repulsions between surfactant molecules more effetely compared to monovalent ions, like Br and OAc, which have a weaker screening effect. These observations also support our CMC trend. Organic electrolytes, like NaOAc, exhibit complex behavior in changing CMC. The CMC of surfactants decreases with an increase in the NaOAc concentration at a lower concentration range, following the kosmotropic nature.56,69 At lower concentrations, OAc promotes the aggregation of surfactant molecules into micelles by a reduction in hydration. Additionally, the hydration of Na+ ions decreases the available free water, promoting surfactant aggregation into micelles at lower concentrations. However, a decrease in CMC values at lesser OAc concentrations and a gradual increase in CMC at elevated OAc concentrations have been described in the literature.56,70 The results observed in the present study reinforce the significance of the introduction of electrolytes in micellar systems for use in pharmaceutical and biological applications. The overall results of the current study have only a physiological relevance model, but the findings cannot provide any direct evidence of physiological relevance.

3.1.3. Temperature effect on the SDS + trypsin mixture aggregation in aq. electrolyte media. Temperature affects both surfactant micelle formation and enzyme function, either enhancing or impeding micelle formation depending on the specific temperature range. The enzymes remain active within their optimal temperature range. Therefore, understanding these temperature effects is crucial for identifying optimal conditions in which surfactants can effectively solubilize and enzymes can preserve their activity. Finding out the optimal temperature is also essential for improving the efficiency of enzyme-based applications in drug delivery, biocatalysis, and therapeutic enzyme processes. In recognition of the significance of temperature on surfactant–enzyme systems, the current work used a broad temperature range, from below room temperature to above room temperature, including the threshold for common enzyme inactivation (320.55 K) and human body temperature (310.55 K). This range also includes the Kraft temperature of SDS, which is approximately 288 K,71,72 the key threshold at which SDS molecules transition from monomers to micelles, significantly altering their behavior. Conductance increased with temperature, as illustrated in Fig. 4, with the highest increase observed at 320.55 K, satisfying the following order: κ (320.55 K) > κ (315.55 K) > κ (305.55 K) > κ (300.55 K) > κ (295.55 K) > κ (290.55 K).
image file: d5ra07779f-f4.tif
Fig. 4 Plots of the specific conductivity vs. concentration of SDS for the mixture of SDS and 0.5% (w/w) trypsin in 1 mmol kg−1 Na2SO4 solution at various temperatures.

Unlike conductance patterns, CMC exhibits distinct behavior. As shown in Table 3 and Fig. 5, increasing the temperature initially decreases the CMC, which reaches a minimum before increasing again. In salt solutions with an identical ionic strength of 1 mmol kg−1, the CMC of SDS is lower than that in aqueous solutions, indicating that the salt promotes micellization at the temperature range investigated, which follows the order CMC (H2O) > CMC (NaOAc) > CMC (NaBr) > CMC (Na2SO4) > CMC (Na3PO4). This trend is consistent with observations in surfactant chemistry, where the CMC decreases with increasing temperature to a certain point, after which it increases.55,73 This behavior can be attributed to the interplay between enthalpy and entropy.74 The enthalpic interactions dominate at lower temperatures, leading to a decrease in CMC. However, as the temperature continues to increase, the entropic penalty associated with ordering water molecules around the hydrophobic tails becomes significant, causing the CMC to increase.

Table 3 CMC, XCMC, and β values for the mixture of SDS and 0.5% (w/w) trypsin in aqueous and several aq. sodium salt media at different temperatures
Medium Csalt (mmol kg−1) Isalt (mmol kg−1) T (K) CMC (mmol kg−1) XCMC (×104) S1 S2 β
H2O 0 0 290.55 7.54 1.36 55.75 30.11 0.46
295.55 7.32 1.32 58.55 31.03 0.47
300.55 6.90 1.24 117.6 61.12 0.48
305.55 7.35 1.32 122.3 66.04 0.46
310.55 8.45 1.52 119.8 64.71 0.46
315.55 8.75 1.58 123.5 67.55 0.45
320.55 8.92 1.61 132.2 74.02 0.44
H2O + NaBr 1 1 290.55 7.36 1.33 99.28 47.65 0.52
295.55 7.05 1.27 101.3 52.70 0.48
300.55 6.55 1.18 122.2 64.76 0.47
305.55 6.65 1.20 56.75 30.08 0.47
310.55 6.98 1.26 55.59 29.79 0.46
315.55 7.20 1.30 60.95 34.13 0.44
320.55 7.37 1.33 65.15 38.44 0.41
H2O + NaOAc 1 1 290.55 7.45 1.34 103.1 55.69 0.46
295.55 7.20 1.30 110.9 59.87 0.46
300.55 6.68 1.20 56.84 30.13 0.47
305.55 6.80 1.23 124.1 67.02 0.46
310.55 7.16 1.29 67.14 34.92 0.48
315.55 7.40 1.33 64.40 34.78 0.46
320.55 7.51 1.35 70.01 38.50 0.45
H2O + Na2SO4 0.333 1 290.55 7.24 1.30 107.0 53.50 0.50
295.55 6.95 1.25 115.6 56.77 0.51
300.55 6.45 1.16 122.3 58.70 0.52
305.55 6.55 1.18 119.3 63.23 0.47
310.55 6.90 1.24 120.4 64.60 0.46
315.55 7.10 1.28 123.7 70.16 0.43
320.55 7.25 1.31 151.0 90.62 0.40
H2O + Na3PO4 0.167 1 290.55 7.15 1.29 103.2 52.65 0.49
295.55 6.85 1.23 108.8 54.68 0.50
300.55 6.35 1.14 63.46 31.10 0.51
305.55 6.45 1.16 61.82 30.91 0.50
310.55 6.81 1.23 69.13 34.54 0.50
315.55 6.99 1.26 133.3 69.60 0.48
320.55 7.10 1.28 135.6 73.16 0.46



image file: d5ra07779f-f5.tif
Fig. 5 Alteration of the CMC with a change in temperature (T) for the aggregation of the mixture of SDS and 0.5% (w/w) trypsin in water and aq. sodium salt media (with an identical ionic strength of 1 mmol kg−1) at different temperatures.

The dependence of CMC on temperature can be elucidated by considering the balance between hydrophilic and hydrophobic hydration around the surfactant monomers.75 As temperature increases, the kinetic energy of water molecules increases, leading to a disruption of the structured hydration shell around the hydrophilic head groups (reducing hydrophilic hydration). This desolvation of the polar head groups favors micellization. However, this effect can be counterbalanced by a simultaneous decrease in hydrophobic hydration. The structured water molecules surrounding the hydrophobic tails are also disrupted at higher temperatures (reducing hydrophobic hydration), making the environment less conducive to micellization. Thus, although reduced hydrophilic hydration promotes micelle formation, a corresponding decrease in hydrophobic hydration hinders it. In the SDS + trypsin mixture, the combined effects of reduced hydrophilic and hydrophobic hydration with rising temperature determine the overall micellization behavior. The decrease in hydrophilic hydration has a more pronounced effect as the temperature rises in the higher temperature range, leading to a decrease in CMC and vice versa.

3.1.4. Energetics of the micellization of the SDS + trypsin mixture. A thermodynamic study provides key insight into the molecular forces and energetic changes that govern enzyme–surfactant interactions, particularly including aggregation, micelle stability, and functionality.5,12,19 This research also aids in designing robust biotechnological systems that resist denaturation under harsh conditions,76,77 which can lead to the development of an innovative surfactant–enzyme system for targeting specific biochemical pathways. This study focuses on the investigation of the thermodynamics of trypsin and SDS interactions, both with and without sodium electrolytes, across a defined temperature range. The thermodynamic factors assessed here are the changes in standard Gibbs free energy image file: d5ra07779f-t6.tif, standard enthalpy image file: d5ra07779f-t7.tif, and standard entropy image file: d5ra07779f-t8.tif to understand the enzyme–surfactant interactions. The feasibility and spontaneity of the micellization process are primarily determined by evaluating image file: d5ra07779f-t9.tif, where a negative value indicates that micelle formation occurs spontaneously.78

Eqn (1) is employed to evaluate image file: d5ra07779f-t10.tif from the phase separation model:55,78

 
image file: d5ra07779f-t11.tif(1)

Eqn (2) may be used to solve the enthalpy of micellization image file: d5ra07779f-t12.tif of the encapsulated system of trypsin and SDS:55,78

 
image file: d5ra07779f-t13.tif(2)
implying that α and β parameters are complementary. If α increases (more ionized surfactant), β decreases (fewer counter-ions bound), and vice versa.

Given the above relationship, we can express:

 
α = 1 − β. (3)
Hence, we can replace (2 − α) by (1 + β).

Therefore, eqn (1) and (2) can be written as follows:

 
image file: d5ra07779f-t14.tif(4)
 
image file: d5ra07779f-t15.tif(5)

The empirical formula of temperature dependency ln[thin space (1/6-em)]XCMC values is epitomized using the following equation:

 
ln[thin space (1/6-em)]XCMC = A + BT + CT2. (6)

Differentiating ∂ln[thin space (1/6-em)]XCMC with respect to T,

 
image file: d5ra07779f-t16.tif(7)

The values of A, B and C constants in eqn (6) were calculated using the method of least squares. The image file: d5ra07779f-t17.tif of association was assessed by means of polynomial fitting curves (second order) of ln[thin space (1/6-em)]XCMC vs. T of the employed system (Fig. 6). The values of the regression constant (A, B and C) are also presented in Table 4. After that, the enthalpy of micellization image file: d5ra07779f-t18.tif can be evaluated by applying eqn (8):

 
image file: d5ra07779f-t19.tif(8)


image file: d5ra07779f-f6.tif
Fig. 6 ln[thin space (1/6-em)]XCMC vs. T plot (second order polynomial fitting) for the mixed system of SDS and 0.5% (w/w) trypsin in a 1 mmol per kg NaBr solution.
Table 4 Values of A, B and C constants for the mixture of SDS and 0.5% (w/w) trypsin in aqueous and several aq. sodium salt media
Medium Isalt (mmol kg−1) A B (K−1) C (K−2)
H2O 0.0 27.3015 −0.24458 0.00041
H2O + NaBr 1.0 31.6977 −0.26730 0.00044
H2O + NaOAc 1.0 28.5394 −0.24675 0.00041
H2O + Na2SO4 1.0 30.6550 −0.26060 0.00043
H2O + Na3PO4 1.0 29.8383 −0.25517 0.00042


Finally, it was likely to evaluate the image file: d5ra07779f-t20.tif value for SDS + trypsin mixture association using the following equation:55,78

 
image file: d5ra07779f-t21.tif(9)

The image file: d5ra07779f-t22.tif values were negative for both the aqueous and aqueous electrolyte media (Table 5), indicating that micellization occurring in these environments is thermodynamically favorable.48,57 The image file: d5ra07779f-t23.tif values for the four electrolytes were observed to fall within a nearly identical range, which indicates the uniformity in the thermodynamic behavior of the electrolytes in this system. This implies that the electrolytes and solvents have similar solvation properties and interaction patterns. The observed behavior of image file: d5ra07779f-t24.tif in the aqueous and aqueous electrolyte media reflects distinct temperature-dependent trends. Specially, in the case of aqueous medium, the increasing negative image file: d5ra07779f-t25.tif values demonstrate that micellization becomes more favoured thermodynamically as the temperature increases.48,49 A similar pattern is also obtained in the cases of aq. solutions of salts, with a minor exception.36,48,49

Table 5 image file: d5ra07779f-t26.tif, image file: d5ra07779f-t27.tif, and image file: d5ra07779f-t28.tif values for the mixture of SDS and 0.5% (w/w) trypsin in aq. sodium salt media at various temperatures
Medium T (K)

image file: d5ra07779f-t29.tif

image file: d5ra07779f-t30.tif

image file: d5ra07779f-t31.tif

H2O 290.55 −31.40 6.485 130.4
295.55 −32.27 2.380 117.2
300.55 −33.26 −2.080 103.7
305.55 −33.12 −6.767 86.24
310.55 −33.13 −11.79 68.73
315.55 −33.30 −17.01 51.64
320.55 −33.53 −22.48 34.47
H2O + NaBr 290.55 −32.78 12.39 155.5
295.55 −32.63 7.756 136.6
300.55 −33.22 3.109 120.9
305.55 −33.72 −1.807 104.4
310.55 −33.86 −7.005 86.46
315.55 −33.81 −12.38 67.92
320.55 −33.54 −17.81 49.09
H2O + NaOAc 290.55 −31.45 8.709 138.2
295.55 −32.11 4.664 124.4
300.55 −33.15 0.330 111.4
305.55 −33.41 −4.308 95.24
310.55 −34.22 −9.376 80.01
315.55 −34.18 −14.50 62.34
320.55 −34.42 −19.94 45.17
H2O + Na2SO4 290.55 −32.41 11.29 150.4
295.55 −33.34 7.048 136.7
300.55 −34.41 2.428 122.6
305.55 −33.78 −2.479 102.4
310.55 −33.90 −7.578 84.76
315.55 −33.63 −12.75 66.16
320.55 −33.37 −18.03 47.86
H2O + Na3PO4 290.55 −32.24 11.62 150.9
295.55 −33.17 7.525 137.7
300.55 −34.24 3.071 124.2
305.55 −34.52 −1.737 107.3
310.55 −34.88 −6.846 90.27
315.55 −34.87 −12.12 72.08
320.55 −34.88 −17.58 53.98


The temperature-dependent behavior of image file: d5ra07779f-t32.tif during the surfactant micellization differs notably between aqueous and aqueous electrolyte solutions (Table 5). In aqueous media, micellization exhibited a positive image file: d5ra07779f-t33.tif at lower temperatures (290.55 K and 295.55 K), indicating an endothermic process. However, in the higher temperature range (300.55–320.55 K), image file: d5ra07779f-t34.tif values become negative after an increasing trend. In contrast, the aqueous electrolyte medium displayed a similar pattern although the positive values of the image file: d5ra07779f-t35.tif for micellization were observed up to 300.55 K instead of 295.55 K and then became increasingly negative, indicating a shift to an exothermic process at a higher temperature range (305.55–320.55 K). Again, micelle formation at this higher temperature requires higher concentrations of surfactant molecules, which is a consequence of the interplay between enthalpy and entropy. The temperature increase facilitates favorable enthalpy image file: d5ra07779f-t36.tif, but the entropy-driven disorder of surfactant molecules hinders aggregation, thus increasing the CMC. The temperature-dependent behavior of the image file: d5ra07779f-t37.tif during the micellization of surfactants in aqueous and aqueous electrolyte media highlights consistent thermodynamic trends (Table 5). Across the entire temperature range, the image file: d5ra07779f-t38.tif for the micellization of surfactants was positive in both aqueous and aqueous electrolyte media, suggesting that micelle formation increases in disorder or randomness in the system. Increasing temperature affects the change in image file: d5ra07779f-t39.tif values, showing a decreasing trend regardless of the media. This consistent decrease in positive image file: d5ra07779f-t40.tif change suggests a general trend toward decreasing disorder with temperature increase although the micellization process is entropy-driven at all temperatures. Comparing the values of image file: d5ra07779f-t41.tif in different electrolyte media at a specific temperature (310.55 K) yields the following order: image file: d5ra07779f-t42.tif.

The positive image file: d5ra07779f-t43.tif values observed for the trypsin + SDS mixture can be attributed to two factors: first, the transfer of hydrophobic components from their hydrated forms in the aqueous system to the micellar core, which disrupts the ordered “iceberg” structure of water, and second, the increased rotational freedom of the hydrophobic parts within the micelle than their more constrained state in the surrounding water.66,67 When combined, these positive image file: d5ra07779f-t44.tif and image file: d5ra07779f-t45.tif values strongly suggest evidence of nonpolar interaction forces between the surfactant and the drug or enzyme molecule.49 Temperature-dependent changes in enthalpy and entropy during micellization reveal whether the process is enthalpy-driven, entropy-driven, or governed by both contributions. In aqueous solutions, micellization exhibits a transition from an entropy-driven to an enthalpy-driven process. However, aqueous electrolyte solutions maintain an entropy-driven process at lower temperatures, transitioning to a process controlled by both entropy and enthalpy across the remaining temperature range. Binding studies reveal that trypsin + SDS interactions are spontaneous and driven by hydrogen bonding and van der Waals forces, which are observable through techniques like UV spectroscopy, circular dichroism, and fluorescence spectroscopy.36 Based on the observed entropy and enthalpy trends for SDS micellization, the interactions between trypsin and SDS likely involve a combination of electrostatic attraction and hydrophobic effects. At lower temperatures, the electrostatic interactions and hydrophobic effects likely dominate, leading to stronger binding between SDS and trypsin. As the temperature increases, the increase in entropy and enhanced solvation around the surfactant molecules could weaken the interaction, potentially leading to dissociation or reduced binding strength between SDS and trypsin at higher temperatures.

3.1.5. Assessment of thermodynamics of transfer. In the context of micellization, thermodynamic transfer refers to the difference in thermodynamic values, such as enthalpy, entropy, or Gibbs free energy of micellization, between an aqueous electrolyte solution and an aqueous medium. This approach emphasizes the influence of electrolytes (e.g., NaCl, NaOAc, or other salts) on the thermodynamic parameters of micelle formation relative to pure water. Although micellization in aqueous solutions is primarily driven by hydrophobic interactions, the presence of electrolytes may affect surfactant behavior, consequently altering thermodynamics. The transfer parameters are calculated using the following equations:55,78
 
image file: d5ra07779f-t46.tif(10)
 
image file: d5ra07779f-t47.tif(11)
 
image file: d5ra07779f-t48.tif(12)
With some exceptions, the values of image file: d5ra07779f-t49.tif were found to be negative. Specially, abnormal positive values were observed in aqueous NaBr medium (3.00 mmol kg−1 at 310.55 K and 1 mmol kg−1 at 300.55 K), Na2SO4 medium (1 mmol kg−1 at 320.55 K) and NaOAc medium (1 mmol kg−1 at 295.55 K and 300.55 K), which need further advance investigation to find out the root cause behind this (Table S1 (SI)). The negative transfer values of image file: d5ra07779f-t50.tif for both temperature and concentration ranges indicates that the micellization process is thermodynamically favoured by the presence of electrolytes. The positive transfer values for image file: d5ra07779f-t51.tif indicate that disorder increased associated with the aggregation of surfactant molecules into micelles in the electrolyte solution (Table S1 (SI)). The positive image file: d5ra07779f-t52.tif transfer suggests that the micellization process is endothermic in only electrolyte medium and may be solely an entropy-driven process (Table S1 (SI)). Despite these positive changes, the negative Gibbs free energy indicates that the micellization process remains energetically favorable, highlighting the stabilizing role of electrolytes in promoting micelle formation.
3.1.6. Enthalpy–entropy compensation for micellization. This compensation framework elucidates the role of solute–solute interactions, solvent structuring, and protein–surfactant hydration on micellization.79 The intrinsic enthalpy image file: d5ra07779f-t53.tif and compensation temperature (Tc) are derived from the plot of image file: d5ra07779f-t54.tif vs. image file: d5ra07779f-t55.tif (Fig. 7) of micellization of SDS + pepsin with and without electrolytes according to eqn (13):74,80–83
 
image file: d5ra07779f-t56.tif(13)
Here, the image file: d5ra07779f-t57.tif represents the intrinsic enthalpy contribution to micellization, independent of entropy and calculated from the y-intercept of the image file: d5ra07779f-t58.tif vs. image file: d5ra07779f-t59.tif plot. Meanwhile, the compensation temperature (Tc) is the slope of the straight line of the plot, which reflects the point at which enthalpic and entropic effects are balanced in the overall free energy of micellization. Together, these parameters provide deeper mechanistic insight into the driving forces governing micelle formation in complex biochemical environments.

image file: d5ra07779f-f7.tif
Fig. 7 Plots of image file: d5ra07779f-t60.tif vs. image file: d5ra07779f-t61.tif for the mixture of SDS and 0.5% (w/w) trypsin in (a) aqueous and (b) aq. NaOAc media at various temperatures.

The enthalpy–entropy compensation variables of SDS micellization in the presence of trypsin and various sodium electrolytes are presented in Table 6. In pure water, micellization is moderately exothermic image file: d5ra07779f-t62.tif and occurs at a compensation temperature of 298.01 K. The addition of sodium electrolytes significantly alters both image file: d5ra07779f-t63.tif and Tc. For instance, systems containing Na3PO4 and NaOAc exhibited more negative image file: d5ra07779f-t64.tif values, −33.83 and −33.84 kJ mol−1, respectively, and higher Tc values (299.70 K and 308.25 K, respectively), indicating enhanced enthalpic contributions and thermodynamic favorability of micellization. In contrast, NaBr and Na2SO4 lowered the compensation temperature (to 287.11 K and 282.38 K, respectively) and reduced the magnitude of image file: d5ra07779f-t65.tif, suggesting a shift toward entropy-driven micellization. The Tc values of the 270–350 K range are reported for the aq. solutions of protein and small solutes,80 and the Tc values have been accepted as evidence of the presence of hydrophobic interactions.74

Table 6 image file: d5ra07779f-t68.tif and Tc values for the mixture of SDS and 0.5% (w/w) trypsin in aq. sodium salt media at different temperatures
Medium Isalt (mmol kg−1) Tc (K)

image file: d5ra07779f-t69.tif

R2
H2O 0.0 298.01 −32.55 0.9994
H2O + NaBr 1.0 287.11 −31.82 0.9995
H2O + NaOAc 1.0 308.25 −33.84 0.9998
H2O + Na2SO4 1.0 282.38 −31.54 0.9992
H2O + Na3PO4 1.0 299.70 −33.83 0.9997


The exceptionally high R2 values (all above 0.999) indicate the consistent linear enthalpy–entropy compensation relationship across the entire temperature range studied (300.55–320.55 K) for each electrolyte condition illustrated in Table 6. This statistical robustness validates the reliability of the image file: d5ra07779f-t66.tif and image file: d5ra07779f-t67.tif values derived from temperature-dependent conductometric measurements. More importantly, it confirms that trypsin does not introduce irregular thermodynamic behavior or significant conformational variability under these micellization conditions. Such tight compensation behavior typically indicates that micellization across the temperature range is governed by a single dominant mechanism with predictable energetic trade-offs. Therefore, in protein–surfactant systems, this suggests that trypsin remains involved in the micellization process, without significant aggregation, degradation, or secondary transitions under the studied temperature and salt conditions.

3.2. Molecular docking and analysis of the trypsin–SDS complex

The online docking server CB-Dock2, which is based on Auto-Dock-Vina, was used in this study for blind docking between trypsin and SDS. The 3D structure of trypsin was uploaded and docked with the 3D structure of SDS. The CB-Dock (Fig. 8) results revealed a high-affinity pose between trypsin and SDS, as determined by the Vina score, cavity size, and grid map. Interaction models were created based on the projected binding affinity between trypsin and SDS using a curvature-dependent surface-area model for the trypsin and SDS.84 The binding energy values (Vina score) for the top 5 binding poses were determined, with the interaction having binding energy, cavity volume, and the interacting residues, as presented in Table S2 (SI). The lowermost projected Vina score was −5.0 kcal mol−1. The agreeing binding pose is displayed in Fig. 8. Further binding poses with lower scores are shown in Fig. S1 (SI).
image file: d5ra07779f-f8.tif
Fig. 8 Interaction between trypsin and SDS was analyzed via molecular docking using CB-Dock2 (molecular interaction shown in inset).

The interaction between trypsin and the anionic surfactant SDS is governed by a combination of electrostatic and hydrophobic forces. Generally, the negatively charged sulfate headgroup of SDS electrostatically associates with positively charged residues on the protein surface, and the hydrophobic dodecyl alkyl chain of the surfactant interacts with non-polar residues.31,85 This cooperative binding disrupts the intricate non-covalent interactions, including H-bonding and van der Waals forces, which are essential for maintaining the protein's stable conformation. The formation of a trypsin–SDS complex may induce significant conformational changes, leading to unfolding and denaturation. A critical consequence of this structural perturbation may be the distortion of the catalytic triad and the deformation of the substrate-binding pocket. The loss of the native structure, driven by the amphiphilic nature of SDS, effectively abolishes trypsin's proteolytic function by preventing proper substrate recognition and catalysis.

4. Conclusions

This study elucidates the impacts of sodium electrolytes and temperature on the micellization behavior of the SDS and trypsin enzyme mixture. The SDS assembly process has been found to be significantly dependent on the presence of trypsin, the introduction of Na-salts and temperature alteration. Trypsin significantly causes a delay in SDS micellization by increasing the critical micelle concentration (CMC) and reducing the degree of micelle ionization, as a consequence of protein–surfactant interactions that hinder surfactant aggregation. The addition of sodium electrolytes lowers the CMC in the order NaOAc > NaBr > Na2SO4 > Na3PO4, reflecting the greater ability of higher-valent kosmotropic anions to screen electrostatic repulsions and reduce hydration of surfactant headgroups, thereby promoting tighter micelle packing. The micellization of the current system showed dependency on the temperature changes over the range studied in all the media employed. Thermodynamic analyses confirm that micellization is spontaneous across all conditions, driven by a complex interplay of enthalpic and entropic factors. The micellization of the SDS + trypsin mixture was found to be endothermic at lower temperatures, while the process became exothermic at higher temperatures studied. A positive entropy change is the dominating factor driving micellization at lower temperatures, whereas enthalpy becomes a more dominant factor at elevated temperatures. According to the thermodynamic analysis, the recommended interaction forces are hydrophobic, electrostatic and ion-dipole types. Negative image file: d5ra07779f-t70.tif values further confirm the thermodynamic favorability of micellization despite a few anomalous cases requiring further investigation. Docking simulations show that SDS's extended nonpolar chain inserts into trypsin's hydrophobic surface regions, facilitating binding via hydrophobic interactions. Importantly, these variations occur without compromising protein stability or inducing significant conformational changes. Together, these findings provide comprehensive insights into how sodium electrolytes and temperature synergistically influence surfactant–enzyme self-assembly, offering valuable guidance for the design of stable biochemical formulations and efficient drug delivery systems.

Conflicts of interest

There are no conflicts of interest to declare.

Data availability

The data supporting this article have been included as part of the supplementary information (SI). Supplementary information is available. See DOI: https://doi.org/10.1039/d5ra07779f.

Acknowledgements

Authors are grateful to the Ongoing Research Funding program (ORF-2026-727), King Saud University, Riyadh, Saudi Arabia.

References

  1. T. A. Khan, H.-C. Mahler and R. S. K. Kishore, Eur. J. Pharm. Biopharm., 2015, 97, 60–67 CrossRef CAS PubMed.
  2. M. N. Jones, Chem. Soc. Rev., 1992, 21, 127–136 RSC.
  3. J.-S. Gong, W. Li, D.-D. Zhang, M.-F. Xie, B. Yang, R.-X. Zhang, H. Li, Z.-M. Lu, Z.-H. Xu and J.-S. Shi, Int. J. Mol. Sci., 2015, 16, 30061–30074 CrossRef CAS PubMed.
  4. P. Busti, S. Scarpeci, C. A. Gatti and N. J. Delorenzi, J. Agric. Food Chem., 1999, 47, 3628–3631 CrossRef CAS PubMed.
  5. M. G. Semenova, L. E. Belyakova, Y. N. Polikarpov, M. M. Il'in, T. A. Istarova, M. S. Anokhina and E. N. Tsapkina, Biomacromolecules, 2006, 7, 101–113 CrossRef CAS PubMed.
  6. J. G. Hansted, P. L. Wejse, H. Bertelsen and D. E. Otzen, Biochim. Biophys. Acta, 2011, 1814, 713–723 CrossRef CAS PubMed.
  7. S. Rouimi, C. Schorsch, C. Valentini and S. Vaslin, Food Hydrocoll., 2005, 19, 467–478 CrossRef CAS.
  8. S. Kumar, D. Saha, D. Ray and V. K. Aswal, Soft Matter, 2025, 21, 4979–4998 RSC.
  9. M. D. Womack, D. A. Kendall and R. C. MacDonald, Biochim. Biophys. Acta, 1983, 733, 210–215 CrossRef CAS PubMed.
  10. A. M. Morales, A. Sreedhara, J. Buecheler, S. Brosig, D. Chou, T. Christian, T. Das, I. de Jong, J. Fast, B. Jagannathan, E. M. Moussa, M. R. Nejadnik, I. Prajapati, A. Radwick, Y. Rahman and S. Singh, AAPS J., 2022, 25, 6 CrossRef PubMed.
  11. S. Tandon and P. M. Horowitz, J. Biol. Chem., 1987, 262, 4486–4491 CrossRef CAS PubMed.
  12. I. Fatma, V. Sharma, R. C. Thakur and A. Kumar, J. Mol. Liq., 2021, 341, 117344 CrossRef CAS.
  13. Interactions of Surfactants with Polymers and Proteins, ed. E. D. Goddard and K. P. Ananthapadmanabhan, CRC Press, Boca Raton, 1993 Search PubMed.
  14. Y. Li and J. S. Lee, Anal. Chim. Acta, 2019, 1063, 18–39 CrossRef CAS PubMed.
  15. N. B. Bam, J. L. Cleland and T. W. Randolph, Biotechnol. Prog., 1996, 12, 801–809 CrossRef CAS PubMed.
  16. V. V. Mozhaev, I. V. Berezin, K. Martinek and Y. Nosoh, Crit. Rev. Biochem., 1988, 23, 235–281 CrossRef CAS PubMed.
  17. P. Lundahl, E. Greijer, M. Sandberg, S. Cardell and K.-O. Eriksson, Biochim. Biophys. Acta, 1986, 873, 20–26 CrossRef CAS.
  18. C. La Mesa, J. Colloid Interface Sci., 2005, 286, 148–157 CrossRef CAS PubMed.
  19. D. Otzen, Biochim. Biophys. Acta, 2011, 1814, 562–591 CrossRef CAS PubMed.
  20. A. Mackie and P. Wilde, Adv. Colloid Interface Sci., 2005, 117, 3–13 CrossRef CAS PubMed.
  21. J. Maldonado-Valderrama and J. M. R. Patino, Curr. Opin. Colloid Interface Sci., 2010, 15, 271–282 CrossRef CAS.
  22. K. Holmberg, Colloids Surf., B, 2018, 168, 169–177 CrossRef CAS PubMed.
  23. M. Aguirre-Ramírez, H. Silva-Jiménez, I. M. Banat and M. A. Díaz De Rienzo, Biotechnol. Lett., 2021, 43, 523–535 CrossRef PubMed.
  24. V. Delorme, R. Dhouib, S. Canaan, F. Fotiadu, F. Carrière and J.-F. Cavalier, Pharm. Res., 2011, 28, 1831–1842 CrossRef CAS PubMed.
  25. D. N. Rubingh, Curr. Opin. Colloid Interface Sci., 1996, 1, 598–603 CrossRef CAS.
  26. E. Vandermarliere, M. Mueller and L. Martens, Mass Spectrom. Rev., 2013, 32, 453–465 CrossRef CAS PubMed.
  27. S. Ghosh and A. Banerjee, Biomacromolecules, 2002, 3, 9–16 CrossRef CAS PubMed.
  28. W. Kong, K. McConalogue, L. M. Khitin, M. D. Hollenberg, D. G. Payan, S. K. Böhm and N. W. Bunnett, Proc. Natl. Acad. Sci. U. S. A., 1997, 94, 8884–8889 CrossRef CAS PubMed.
  29. H.-L. Huang, H.-W. Hsing, T.-C. Lai, Y.-W. Chen, T.-R. Lee, H.-T. Chan, P.-C. Lyu, C.-L. Wu, Y.-C. Lu and S.-T. Lin, J. Biomed. Sci., 2010, 17, 1–10 CrossRef PubMed.
  30. M. L. Guzman, M. R. Marques, M. E. Olivera Me and E. S. Stippler, Results Pharma Sci., 2016, 6, 15–19 CrossRef PubMed.
  31. J. M. Khan, A. Malik, A. Ahmed, O. H. A. Alghamdi and M. Ahmed, J. Mol. Liq., 2020, 319, 114154 CrossRef CAS.
  32. S. Ghosh, Colloids Surf., B, 2008, 66, 178–186 CrossRef CAS PubMed.
  33. P. N. Moore, S. Puvvada and D. Blankschtein, Langmuir, 2003, 19, 1009–1016 CrossRef CAS.
  34. L. Maggi, M. L. Torre, P. Giunchedi and U. Conte, Int. J. Pharm., 1996, 135, 73–79 CrossRef CAS.
  35. S. Geng, Y. Wang, L. Wang, T. Kouyama, T. Gotoh, S. Wada and J.-Y. Wang, Sci. Rep., 2017, 7, 39202 CrossRef CAS PubMed.
  36. H. Ma, T. Zou, H. Li and H. Cheng, Int. J. Biol. Macromol., 2020, 162, 1546–1554 CrossRef CAS PubMed.
  37. D. E. Otzen, J. N. Pedersen, H. O. Rasmussen and J. S. Pedersen, Adv. Colloid Interface Sci., 2022, 308, 102754 CrossRef CAS PubMed.
  38. M. H. Najar, O. A. Chat, P. A. Bhat, M. A. Mir, G. M. Rather and A. A. Dar, Int. J. Biol. Macromol., 2021, 180, 121–128 CrossRef CAS PubMed.
  39. M. Cacace, E. Landau and J. Ramsden, Q. Rev. Biophys., 1997, 30, 241–277 CrossRef CAS PubMed.
  40. B. Kang, H. Tang, Z. Zhao and S. Song, ACS Omega, 2020, 5, 6229–6239 CrossRef CAS PubMed.
  41. X. He and A. G. Ewing, ChemBioChem, 2023, 24, e202200694 CrossRef CAS PubMed.
  42. K. P. Gregory, G. R. Elliott, H. Robertson, A. Kumar, E. J. Wanless, G. B. Webber, V. S. Craig, G. G. Andersson and A. J. Page, Phys. Chem. Chem. Phys., 2022, 24, 12682–12718 RSC.
  43. Y. Liu, X. Yang, J. Gan, S. Chen, Z.-X. Xiao and Y. Cao, Nucleic Acids Res., 2022, 50, W159–W164 CrossRef CAS PubMed.
  44. R. Srivastava and M. S. Alam, Int. J. Biol. Macromol., 2020, 145, 252–261 CrossRef CAS PubMed.
  45. S. Deep and J. C. Ahluwalia, Phys. Chem. Chem. Phys., 2001, 3, 4583–4591 RSC.
  46. Y. Liu, Y. Liu and R. Guo, J. Colloid Interface Sci., 2010, 351, 180–189 CrossRef CAS PubMed.
  47. R.-C. Lu, A.-N. Cao, L.-H. Lai, B.-Y. Zhu, G.-X. Zhao and J.-X. Xiao, Colloids Surf., B, 2005, 41, 139–143 CrossRef CAS PubMed.
  48. S. Kabir, M. A. A. Hossain, I. Jahan, B. Ahmed, A. Malik, M. A. Goni, M. A. Hoque and K. M. Anis-Ul-Haque, Int. J. Biol. Macromol., 2025, 291, 138990 CrossRef PubMed.
  49. M. A. A. Hossain, T. Islam, M. T. R. Joy, Z. Kowser, M. Z. Ahmed, M. T. Rehman, M. F. AlAjmi, S. Mahbub, M. A. Goni and M. A. Hoque, Int. J. Biol. Macromol., 2023, 253, 127478 CrossRef CAS PubMed.
  50. S. Mondal, M. L. Raposo, A. Ghosh, G. Prieto and S. Ghosh, Colloids Surf., A, 2019, 577, 167–174 CrossRef CAS.
  51. E. Fuguet, C. Ràfols, M. Rosés and E. Bosch, Anal. Chim. Acta, 2005, 548, 95–100 CrossRef CAS.
  52. S. Naderi Miqan, F. Farshchi Tabrizi and H. Abedini, J. Mol. Liq., 2015, 201, 59–67 CrossRef CAS.
  53. O. S. Zueva, V. S. Rukhlov and Y. F. Zuev, ACS Omega, 2022, 7, 6174–6183 CrossRef CAS PubMed.
  54. M. Al Amin Hossain, M. N. Sultana, J. M. Khan, M. T. R. Joy, S. C. Mohanta, M. R. Amin, M. F. Hossain, M. Irfan, M. Z. Ahmed, D. Kumar, M. A. Hoque and S. E. Kabir, Chem. Pap., 2022, 76, 1501–1511 CrossRef CAS.
  55. M. J. Rosen and J. T. Kunjappu, Surfactants and Interfacial Phenomena, John Wiley & Sons, 2012 Search PubMed.
  56. K. M. Anis-Ul-Haque, M. A. A. Hossain, M. J. Ferdous, M. A. Taher, J. M. Khan, A. Ahmad, M. T. R. Joy and M. A. Hoque, Mol. Phys., 2023, 122, e2253931 CrossRef.
  57. K. M. Anis-Ul-Haque, M. A. A. Hossain, N. Uddin, M. Jonayed, M. K. Gatasheh, D. Kumar, M. A. Goni, M. T. R. Joy and M. A. Hoque, Colloids Surf., A, 2024, 692, 133972 CrossRef CAS.
  58. B. Naskar, A. Dey and S. P. Moulik, J. Surfact. Deterg., 2013, 16, 785–794 CrossRef CAS.
  59. B. S. Rauniyar and A. Bhattarai, J. Mol. Liq., 2021, 323, 114604 CrossRef CAS.
  60. M. H. Weinberger, in Handbook of Research Methods in Cardiovascular Behavioral Medicine, ed. N. Schneiderman, S. M. Weiss and P. G. Kaufmann, Springer US, Boston, MA, 1989, pp. 133–143,  DOI:10.1007/978-1-4899-0906-0_9.
  61. M. L. Fanani, N. E. Nocelli and Y. d. l. M. Zulueta Díaz, Biochim. Biophys. Acta, Biomembr., 2022, 1864, 183781 CrossRef CAS PubMed.
  62. M. Karar, S. Paul, A. Mallick and T. Majumdar, Chem. Phys. Lipids, 2018, 210, 122–128 CrossRef CAS PubMed.
  63. F. A. Wani, K. Behera and R. Patel, ChemistrySelect, 2022, 7, e202201928 CrossRef CAS.
  64. F. J. He and G. A. MacGregor, Kidney Int., 2004, 66, 2454–2466 CrossRef PubMed.
  65. M. R. Amin, S. A. Alissa, M. R. Molla, M. A. Rub, S. M. Wabaidur, M. A. Hoque and S. E. Kabir, J. Phys. Org. Chem., 2020, 33, e4057 CrossRef CAS.
  66. G. Para, E. Jarek and P. Warszynski, Adv. Colloid Interface Sci., 2006, 122, 39–55 CrossRef CAS PubMed.
  67. H. Hooshyar and R. Sadeghi, J. Chem. Eng. Data, 2015, 60, 983–992 CrossRef CAS.
  68. K. Maiti, D. Mitra, S. Guha and S. P. Moulik, J. Mol. Liq., 2009, 146, 44–51 CrossRef CAS.
  69. A. Amin, A. Ahmad Dar, M. Ahmad Bhat, M. Jan, N. Rehman, M. Amin Mir and G. Mohammad Rather, J. Dispers. Sci. Technol., 2008, 29, 406–414 CrossRef CAS.
  70. B. Paul, S. Islam and K. Ismail, J. Phys. Chem. B, 1998, 102, 7807–7812 CrossRef CAS.
  71. C. Vautier-Giongo and B. L. Bales, J. Phys. Chem. B, 2003, 107, 5398–5403 CrossRef CAS.
  72. E. Summerton, G. Zimbitas, M. Britton and S. Bakalis, J. Cryst. Growth, 2016, 455, 111–116 CrossRef CAS.
  73. E. Mohajeri and G. D. Noudeh, J. Chem., 2012, 9, 2268–2274 CrossRef CAS.
  74. C. Jolicoeur and P. R. Philip, Can. J. Biochem., 1974, 52, 1834–1839 CrossRef CAS.
  75. H. Naorem and S. D. Devi, J. Surf. Sci. Technol., 2006, 22, 89 CAS.
  76. H. B. Jones, S. A. Wells, E. J. Prentice, A. Kwok, L. L. Liang, V. L. Arcus and C. R. Pudney, FEBS J., 2017, 284, 2829–2842 CrossRef CAS PubMed.
  77. E. Noor, A. Flamholz, W. Liebermeister, A. Bar-Even and R. Milo, FEBS Lett., 2013, 587, 2772–2777 CrossRef CAS PubMed.
  78. M. A. Hoque, M. I. Ali, M. A. Rub, M. Rahman, S. Rana, M. M. Rahman, D. Kumar, N. Azum, A. M. Asiri and M. A. Khan, Int. J. Biol. Macromol., 2023, 228, 445–452 CrossRef CAS PubMed.
  79. A. Pan, A. K. Rakshit and S. P. Moulik, Colloids Surf., A, 2016, 495, 248 CrossRef CAS.
  80. R. Lumry and S. Rajender, Biopolym, 1970, 9, 1125–1227 CrossRef CAS PubMed.
  81. S. M. A. Ahsan, M. D. Hossain, M. A. Hoque and M. A. Khan, Indian J. Chem., Sect. A, 2016, 55, 160–169 Search PubMed.
  82. H. A. Bhuiyan, M. A. Rub, S. Mahbub, M. T. R. Joy, A. Mamun, D. Kumar, A. M. Asiri, M. A. Hoque and S. E. Kabir, J. Saudi Chem. Soc., 2022, 26, 101451 CrossRef CAS.
  83. L.-J. Chen, S.-Y. Lin and C.-C. Huang, J. Phys. Chem. B, 1998, 1024, 350–4356 Search PubMed.
  84. Y. Cao and L. Li, Bioinformatics, 2014, 30, 1674 CrossRef CAS PubMed.
  85. S. AlResaini, A. Malik, M. Alonazi, A. Alhomida and J. M. Khan, Int. J. Biol. Macromol., 2023, 231, 123237 CrossRef CAS PubMed.

This journal is © The Royal Society of Chemistry 2026
Click here to see how this site uses Cookies. View our privacy policy here.