Introduction

Dyes are extensively used in numerous industries like textile, plastic, dye, leather, paper, rubber, cosmetics, food, carpet and printing1,2,3,4,5. The wastewaters resulted from these industries contain residual dyes which are not bio-degradable and cause serious environmental problems, in general, and water pollution, in particular: visible pollution and damage on the aesthetic nature of effluent water, reduction in the sunlight penetration which affect photosynthesis and biota growth, ecotoxicity risk and bioaccumulation potential danger1,2,3,5,6,7.

Methylene blue (MB) has wide utilizations in industry and is also used in several important medical applications. It can have some negative effects on human health such as respiratory problem, eye irritation, nausea, vomiting, diarrhea, dyspnea, tachycardia, cyanosis, jaundice and methemoglobinemia8,9,10,11,12.

Many conventional methods have been developed to remove dyes from wastewater: coagulation, adsorption, membrane processes, ion exchange, precipitation, chemical oxidation, electrochemical processes, ozonation, zero valent iron reduction, photocatalytic processes and biodegradation. Adsorption process is preferred due to its high efficiency (even for the diluted solutions), low cost, flexibility, ease of operation, design simplicity and availability of adsorbents2,4,6,10,11,12,13,14,15,16,17.

Activated carbon is the most used widely adsorbent, but due to its high cost and regeneration difficulty many studies focus on the discovery and development of novel low cost adsorbents like: fly ash, metal hydroxide sludge, red mud, zeolites, siliceous materials, chitosan, bone char, sawdust, sugarcane bagasse, coffee beans, wheat straw, wheat husk, nutshells, longan shell, rice husk, rice bran, corn cobs, cereal chaff, pine cone, coconut coir, shaddock peel, garlic peel, broad bean peels, jack fruit peel, yellow passion fruit peel, durian peel, pomelo peel, pineapple stem, pineapple leaves, spent tea leaves, phoenix tree's leaves, Salix babilonica leaves, Platanus orientalis leaves, datepalm leaves, guava leaves, lotus leaves, Hibiscus cannabinus fiber, roots of Eichhornia crassipes, papaya seeds2,4,8,9,10,11,15,16,18,19,20,21,22,23,24,25.

Various compounds such as cellulose, hemi-cellulose, pectins, lignin, polyphenolics, plant pigments and protein from the tree leaves structure have various functional groups (carboxyl, carbonyl, hydroxyl, amino, nitro) which can provide active sites for dye binding and make adsorption process possible2,20,23,26.

Syringa vulgaris L. (lilac or common lilac) is a large shrub or small tree native to the Balkan Peninsula, which growing to 6–7Ā m tall. It has been naturalized and cultivated, on a large scale, as an ornamental plant in Europe and North America. Is also found in the wild in widely scattered sites, usually in the human habitations vicinity. The lilac is a very popular ornamental plant in gardens and parks, because of its flowers attractiveness, having a relatively varied range of colors, and an extraordinary scent27,28,29.

In this study, the Syringa vulgaris leaves have been used as a new low-cost adsorbent for methylene blue removal from aqueous solution. The effects of main parameters (pH, contact time, adsorbent dose, initial dye concentration, temperature and ionic strength) that may influence the adsorption process were investigated. Equilibrium and kinetic modeling, thermodynamic study, optimization using Taguchi approach and the regeneration possibility of used adsorbent were also conducted.

Materials and methods

Mature Syringa vulgaris leaves (SVL) were collected from a lilac tree from Buzias, Timis County, Romania, washed with distilled water, dried at room temperature for 3 days and afterwards in an air oven at 90 °C for 24 h. The dried mass was grounded with a mechanical grinder, passed through a 2 mm sieve and washed with distilled water to remove the turbidity and color. Finally, the washed material was dried for 5 h, at 105 °C, in an air oven.

A scanning electron microscope Quanta FEG 250 (at 3000 × magnitude) and Shimadzu Prestige-21 FTIR spectrophotometer were used to characterize the adsorbent, before and after adsorption. The determination of point of zero charge (PZC) was realized through the solid addition method3. According to this method, samples of 50Ā mL of KNO3 solution with a concentration of 0.1 (mol Lāˆ’1) are used. The pH of each sample was adjusted from 2 to 12 using 1Ā M HNO3 or 1Ā M NaOH. 1Ā g of adsorbent material was added to each sample. The samples were shaken for 5Ā h and then left at rest for 24Ā h. The final pH was measured and the difference between the initial and final pH values (Ī”pH = pHiĀ āˆ’Ā pHf) was plotted against the pH. The point of intersection between the resulting curve with pH axis represents the value corresponding to the point of zero charge.

Merck analytical grade chemicals were used in the experiments. The studies were conducted in Erlenmeyer flasks (150Ā mL) at constant mixing intensity. For mixing the adsorbent with the dye solution was used an M.T.A. 609/A shaker. The pH adjustment was performed with 0.1Ā M NaOH and HCl solutions. The ionic strength effect was tested using NaCl as background electrolyte. The methylene blue concentration was measured by a UV–VIS spectrophotometer Specord 200 PLUS at 664Ā nm wavelength. For each experiment, there were three independent replicates.

Non-liniar and linear forms of Langmuir and Freundlich isotherms and pseudo-first order and pseudo-second order kinetic models were performed according to methods described in literature5,9,11,12,16,19,20,24,25,30,31. The values of determination coefficient (R2), sum of square error (SSE), chi-square (χ2) and average relative error (ARE) were taking into consideration to establish the best-fitting model for the adsorption process30. The thermodynamic parameters (standard Gibbs free energy change, standard enthalpy change and standard entropy change) were computed by using data of MB adsorption at temperatures of 285, 296 and 306Ā K using the equations described elsewhere21,25,32,33,34.

In order to obtain the optimum conditions for methylene blue adsorption, Taguchi (L27) experimental design was used. The effect of six controllable factors (pH, contact time, adsorbent dose, initial dye concentration, temperature and solution ionic strength) at three levels on the methylene blue removal efficiency was investigated (see Supplementary Information, Table S1). The Taguchi method uses an orthogonal array (OA) for experimental design and analyzes the signal to noise ratio (S/N) to assess the experimental results. The larger-the-better S/N ratio option was determined because the highest adsorption efficiency was taken into consideration35,36,37,38. An analysis of variance (ANOVA) was used to assess the Taguchi model results and to determine the percent contribution of each factor on the dye removal efficiency35,37,38,39. Minitab 19 software was utilized to perform the required calculations.

For the desorption experiments the dye-loaded adsorbent was agitated, at constant mixing intensity, with different desorbing solutions (0.1Ā M HCl, 0.1Ā M NaOH, distilled water) and equilibrated for 2Ā h.

Results and discussion

Adsorbent characterization

The surface morphologies of the adsorbent before and after adsorption are shown in Fig.Ā 1. Before adsorption (Fig.Ā 1a) the surface has many pores with different shape and sizes which provide a large number of active sites available for dye adsorption. After adsorption (Fig.Ā 1b) MB molecules fill these pores and the surface of adsorbent becomes saturated, covered by dye molecule.

Figure 1
figure 1

SEM images of adsorbent material: (a) before and (b) after dye adsorption.

The FTIR analysis suggests that the main ingredients of adsorbent material are cellulose, hemicellulose and lignin. The FTIR spectra of adsorbent material before and after methylene blue adsorption, presented in Supplementary Information (Figure S1), show following different specific peaks for main functional group: 3382Ā cmāˆ’1—OH stretching vibration of phenols, carboxylic acids and alcohols as in lignin, pectin and cellulose15, 2933Ā cmāˆ’1—CH stretching of CH240, 1647Ā cmāˆ’1—C=O stretching characteristic of lignin or hemicellulose41,42, 1422Ā cmāˆ’1—C–H deformation in lignin43,44, 1255Ā cmāˆ’1—C–O stretching and CH or OH bending indicate the existence of hemicellulose structures25,45,46, 1026Ā cmāˆ’1—C–O, C–O–H, C–O–C, C–C, ring stretching vibration in cellulose and hemicellulose47, 609Ā cmāˆ’1—the bending modes of aromatic compounds of cellulose48,49. The differences between the wavenumber of the peaks before and after adsorption are small (less than 10Ā cmāˆ’1) which indicate that the methylene blue adsorption mechanism could include an ion-exchange mechanism or physical interaction50.

The point of zero charge (PZC) is a parameter that indicates the adsorption ability on the adsorbent surface. At pHpzc, the net charge of the adsorbent surface is zero. At pH < pHpzc adsorbent surface becomes positively charged and at pH > pHpzc becomes negatively charged. Adsorption of the cationic dye is favored by a negatively charge surface of the adsorbent2,9,11. The PZC of adsorbent was determined as 5.77 (see Supplementary Information, Figure S2) and a pH above this value is electrostatically favorable for the methylene blue adsorption process.

Effect of pH on methylene blue adsorption

FigureĀ 2a showed the adsorption capacity of dye onto Syringa vulgaris leaf at different pH. With pH increasing from 2 to 12, the adsorption capacity increases from 34.8 (mg gāˆ’1) to 44.1 (mg gāˆ’1). In the pH range 2–6 the increase is more pronounced.

Figure 2
figure 2

Effect of (a) pH, (b) time, (c) adsorbent dose, (d) initial dye concentration, (e) temperature, (f) ionic strength on methylene blue adsorption onto the adsorbent efficiency. (Adsorption conditions: (a): initial methylene blue concentration: 100Ā mg Lāˆ’1; contact time: 30Ā min; adsorbent dosage: 2Ā g Lāˆ’1; temperature: 296Ā K, (b): pH 7, others identical to Fig.Ā 3a, (c): contact time: 30Ā min, others identical to Fig.Ā 3b, (d): adsorbent dosage: 2Ā g Lāˆ’1, others identical to Fig.Ā 3c, (e): initial dye concentration: 100Ā mg Lāˆ’1, others identical to Fig.Ā 3d, (f): temperature: 296Ā K, others identical to Fig.Ā 3d).

Similar trends were observed for the adsorption of methylene blue onto phoenix tree's leaves20, banana leaves58. Below pHpzc = 5.77 the adsorbent surface is positively charged and an electrostatic repulsion with the cationic dye appears, which prevent the adsorption. With the increase of the pH, the surface of adsorbent became negatively charged which will facilitate the electrostatic attraction with the cationic dye molecules and the adsorption capacity will increase11,15,21,22. Adsorption capacity does not increase greatly with pH, on the range 6–12 being practically constant, which indicated that the electrostatic interaction was not the only mechanism for dye adsorption21,22.

Effect of contact time on methylene blue adsorption

According to Fig.Ā 2b, a rapid adsorption of dye occurs in the first 10Ā min and, thereafter, the increase of adsorption capacity became much slower. The equilibrium was reached after 30Ā min. Rapid increase of the adsorption capacity at the beginning of the process is due to the availability of a large exposed surface active sites number for methylene blue adsorption. The available active sites are gradually filled up with the increasing of contact time, leading to the slow increase of adsorption capacity. At this stage it can be assumed that dye diffusion occurs in pores of the adsorbent2,21. It is possible to form a dye monolayer on the adsorbent surface, which is indicated by the decrease of the low adsorption rate24. The equilibrium times reported for different adsorbent were: 30Ā min for carrot stem powder3, carrot leaves powder3 and Arthrospira platensis biomass7, 60Ā min for marine macro-alga of Euchema Spinosum9, CO2 activated corn cob carbon10 and pineapple leaf powder25, 70Ā min for Platanus orientalis leaf powder23, 80Ā min for maize silk powder15, 90Ā min for steam treated corn cob carbon10, 150Ā min for phoenix tree's leaves20 and lotus leaf21, 160Ā min for waste of seeds of Aleurites Moluccana5 and 200Ā min for peanut husk24.

Effect of adsorbent dose on methylene blue adsorption

FigureĀ 2c shows the removal efficiency and adsorption capacity at the various dosage of adsorbent material. The adsorption removal efficiency increases with the adsorbent dose due to the increase of adsorbent surface area and availability of a larger number of adsorption active sites11,20,21,51. The adsorption capacity decrease from 143.6 to 28.3 (mg gāˆ’1) when the adsorbent dosage increases from 0.5 to 3.0 (g Lāˆ’1). The decrease of adsorption capacity could be attributed to unsaturation of adsorption sites during the process, whereas, the sites number available for adsorption increases or to aggregation or agglomeration of adsorbent particle which leads to the decrease of total adsorbent surface area and an increase of the diffusion path length11,20,51. As with other adsorbent materials (Salix babylonica leaves powder2, citrus limetta peel11, phoenix tree's leaves20, lotus leaf21, orange peel powder52) used for the methylene blue removal from water, a similar effect of the adsorbent dose on the dye removal efficiency and on the adsorption capacity was recorded.

Effect of initial dye concentration on methylene blue adsorption

Initial dye concentration has a significant effect on the adsorption process (Fig.Ā 2d). The adsorption capacity increase from 21.1 to 94.0 (mgĀ gāˆ’1) when methylene blue initial concentration rises from 50 to 250 (mg Lāˆ’1). This could be attributed to the increase of the driving force necessary to overcome the resistance to mass transfer of dye between the aqueous phase and solid phase2,4,20,21,22,23,51. In addition, increasing the initial dye concentration may favor the number of collisions between the dye cations and the adsorbent material, improving (intensifying) the adsorption process7. At the same time, the removal percentage of the dye has decreased from about 84.4 to 75.2%, with an increase in the initial dye concentration. This behavior can be explained by the saturation of the adsorption sites caused by the dye molecules accumulation on the surface of the adsorbent particle52,53. These observations regarding the influence of the initial dye concentration onto the adsorption capacity and the removal efficiency are in agreement with the results obtained with other adsorbent materials, such as Salix babylonica leaves powder2, acid treated kenaf fibre char4, eucalyptus barks bio-char53.

Effect of temperature on methylene blue adsorption

The influence of temperature on the adsorption capacity is depicted in Fig.Ā 2e. The adsorption capacity rise from 39.0 to 41.8 (mg gāˆ’1) when the temperature increased from 285 to 306Ā K, indicating that the adsorption was endothermic in nature4,8. The increase of temperature favors the mobility of the large dye cations and reduces the viscosity of the solution. This fact increases dye molecules diffusion rate in the external boundary layer and internal pores of the adsorbent4,22. The positive effect of temperature on the adsorption capacity was reported for acid treated kenaf fibre char4, graphene8, phoenix tree's leaves20, lotus leaf21, Platanus orientalis leaf powder23 and eucalyptus barks bio-char53.

Effect of ionic strength on methylene blue adsorption

Usually, dyeing wastewater may contains high salt concentration and various metal ions leading to high ionic strength and affecting the adsorption process3,20. FigureĀ 2f shows the effect of NaCl presence on dye removal from water. The increase of salt concentration from 0 to 0.3 (mol Lāˆ’1) causes a decrease of adsorption capacity from 41.0 to 14.4 (mg gāˆ’1). This trend could be attributed to the competitive effect between dye cations and Na+ ions for the adsorption available sites. When the ionic strength increases, the activity (effective concentration) of methylene blue and the active sites number decrease, so the adsorption capacity is reduced3,20,21,25. Similar phenomenon was also observed for adsorption of methylene blue by carrot stem and carrot leaves powders3, Arthrospira platensis biomass7, phoenix tree's leaves20, lotus leaf21 and pineapple leaf powder25.

Equilibrium and kinetic modeling

Adsorption isotherms are very important, providing information about adsorption mechanism, surface properties and adsorbent capacity under the system condition. Langmuir isotherm assumes that the adsorption takes place by monolayer sorption, without interaction between the adsorbed molecules, on a homogeneous surface. Freundlich isotherm assumes multilayer adsorption on the solid adsorbent heterogeneous surface48,54,55.

Figures S3–S5 from Supplementary Information illustrate the Langmuir and Freundlich adsorption isotherms (non-linear and linear forms) for methylene blue adsorption on Syringa vulgaris leaves powder. The criterion for their applicability was the greater value for determination coefficient (R2) and the smaller values for sum of square error (SSE), chi-square (χ2) and average relative error (ARE). Isotherms constants and the error functions values are summarized in Table 1. Langmuir isotherm was found to be best-fitting model for describing the adsorption process, indicating a monolayer adsorption process on a homogenous surface of adsorbent. The value of maximum adsorption capacity 188.2 (mg gāˆ’1) is better than other similar adsorbents: Neem leaf powder 19.6 (mg gāˆ’1)56, Salix babylonica leaves 60.9 (mg gāˆ’1)2, Phoenix tree leaves 80.9 (mg gāˆ’1)20, oil palm leaves 103.0 (mg gāˆ’1)57, banana leaves 109.9 (mg gāˆ’1)58, Platanus orientalis leaf 114.9 (mg gāˆ’1)23. The RL value for the methylene blue adsorption was 0.382 suggesting a favorable adsorption.

Table 1 Adsorption isotherms and kinetic models constants and the corresponding error functions.

Adsorption kinetics is very important since it provides information regarding adsorption mechanism, process efficiency and its applicability on an industrial scale5,57,59. The pseudo-first order and pseudo-second order kinetic models (non-linear and linear forms) for methylene blue adsorption are presented in Supplementary Information, Figures S6–S8. Kinetic parameters for these models and the error functions values are reported in Table 1 and indicate that pseudo-second order kinetic model best describes the adsorption process. Also, there is good agreement between calculated and experimental value of equilibrium adsorption capacity, thus confirming that this kinetic model is more suitable to describe the dye adsorption on the adsorbent material. Scientific literature reported that the methylene blue adsorption is described by pseudo-second-order kinetic model for Salix babylonica leaves2, waste of seeds of Aleurites Moluccana5, Arthrospira platensis biomass7, marine macro-alga of Euchema Spinosum9, citrus limetta peel waste11 and maize silk powder15.

Thermodynamic parameters

Standard enthalpy change (Ī”H0) and standard entropy change (Ī”S0) were calculated from the slope and the intercept of ln KL versus 1/T plot presented in Supplementary Information, Figure S9. The values of these parameters and the standard Gibbs free energy change (Ī”G0) are presented in Table 2. Negative values of Ī”G0 indicate that the adsorption of methylene blue is a spontaneous and favorable process. The positive value for Ī”H0 shows that the process is endothermic. The affinity of the adsorbent material for dye is reflected by the positive value of Ī”S0 which indicates the increased randomness (the degrees of freedom of the adsorbed species) at the solid-solute interface. Similar result was reported in other previous studies11,21,23,55,56,57. The value of Ī”H0 lower that 40 (kJ molāˆ’1) indicate the physisorption is involved in methylene blue removal process from water54,59. Besides when Ī”H0 < 20 (kJ molāˆ’1) van der Waals interaction plays an important role in the physical adsorption process60.

Table 2 The values of the standard Gibbs free energy change (Ī”G°), standard enthalpy change (Ī”H°) and standard entropy change (Ī”S°).

Optimization parameters of adsorption process using Taguchi approach

To perform the Taguchi method, 27 different experiments using L27 orthogonal array were run and the value for removal efficiency and S/N ratios of each run were determined (Supplementary Information, Table S2). The order of the controllable factors significance may be established by the rank of S/N ratio (Table 3). The most significant factor influencing the adsorption process was the ionic strength followed by initial dye concentration and pH. The optimum conditions to achieve the highest efficiency established using Taguchi method were: pH 10, contact time 10 (min), adsorbent dose 2.5 (mg gāˆ’1), initial dye concentration 50 (mg gāˆ’1), temperature 306Ā K and ionic strength 0.0 (mol Lāˆ’1). The ANOVA results confirm the same order of controllable factor influence on methylene blue adsorption. The percentage contribution of each factor is given in Fig.Ā 3.

Table 3 Response table for signal-to-noise S/N ratios (larger is better).
Figure 3
figure 3

Contribution percentage of controllable factor influence on methylene blue removal process.

Desorption and regeneration study

The regeneration possibility of exhausted adsorbent was investigated using different desorbing agents (0.1Ā M HCl, distilled water and 0.1Ā M NaOH). HCl was a better desorbing agent for the regeneration of adsorbent (see Supplementary Information, Table S3). The regenerated adsorbent was tested for methylene blue adsorption (initial dye concentration: 100Ā mg Lāˆ’1; pH: 7; contact time: 30Ā min; adsorbent dosage: 2Ā g Lāˆ’1; temperature: 296Ā K), but process efficiency was reduced by 50%. Considering these results and the fact that Syringa vulgaris leaves powder is an inexpensive and easily available adsorbent it can be asserted that regeneration is not necessary.

Conclusions

Adsorption capacity of Syringa vulgaris leaves powder is influenced by solution pH, contact time, initial dye concentration, adsorbent dose, ionic strength and is higher than other similar adsorbents. Langmuir isotherm and pseudo-second order kinetic model describe the adsorption process. Thermodynamic parameters indicate that adsorption is spontaneous and endothermic. Van der Waals interactions are implied in the physical adsorption process. The controllable factor with the most significant influence was ionic strength. Furthermore, the adsorbent is inexpensive and easily available, so it can be concluded that Syringa vulgaris leaves powder is an efficient low cost adsorbent for methylene blue removal from aqueous solutions.