This is an open access article under the CC BY license: Al-Khwarizmi Engineering Journal Al-Khwarizmi Engineering Journal, Vol. 19, No. 2, June, (2023) P. P. 26- 38 Removal of Malachite Green from Aqueous Solution using Ficus Benjamina Activated Carbon-Nonmetal Oxide synthesized by pyro Carbonic Acid Microwave Khatab Emad Talib* Sami D. Salman** *,**Department of Biochemical Engineering/ Al-Khwarizmi College of Engineering/ University of Baghdad/ Baghdad/ Iraq *Email: khattab.i@kecbu.uobaghdad.edu.iq **Email: sami.albayati@gmail.com (Received 20 December 2022; accepted 8 March 2023) https://doi.org/10.22153/kej.2023.03.002 Abstract Activated carbon derived from Ficus Binjamina agro-waste synthesized by pyro carbonic acid microwave method and treated with silicon oxide (SiO2) was used to enhance the adsorption capability of the malachite green (MG) dye. Three factors of concentration of dye, time of mixing, and the amount of activated carbon with four levels were used to investigate their effect on the MG removal efficiency. The results show that 0.4 g/L dosage, 80 mg/L dye concentration, and 40 min adsorption duration were found as an optimum conditions for 99.13% removal efficiency. The results also reveal that Freundlich isotherm and the pseudo-second-order kinetic models were the best models to describe the equilibrium adsorption data. Keywords: Ficus Benjamina activated carbon; Microwave irradiation; Taguchi experiment. 1. Introduction Freshwater in particular and water, in general, have become more necessary during the past few years as a dearth of fresh water has been observed largely, as the expansion of the industrial sector in general and human expansion has led to the scarcity of water and increased demand for fresh water. [1,[2] 2]. Industrial expansion and human expansion have increased the need for clean water as this expansion has increased the proportion of effluents and increased the use of fertilizers and other substances that adversely affect the purity and cleanliness of the water and cause significant water pollution [3][4]. In industries in general, effluents and other wastes are often dumped without being processed to water sources from rivers and lakes, where they have been contaminated, where they need to be chemically treated and used again industrially [5,6]. In the last decade, the treatment of sewage has been of great importance, as dyes that change the color of the water are one of the chemicals that industrial discharges release. [7,8]. Since the presence of the least concentration of toxic dyes in water has serious consequences for the environment, dyes are often disposed of in the pharmaceutical, cosmetic, food, textile, leather, printing, and paper industries. [9,10]. Textile industries contribute to the largest pollution of dyes due to their ineffectiveness because dye molecules are not fully related to fabrics or tissues, where the majority of dye residues in textile industries are disposed into the environment[11,12]. Dyes disposed of from industries in general and textile industries, in particular, have attracted great attention because of the effects they cause, as there are a large number of harmful chemicals that make up dyes that are presented as liquid residues to factories, and these chemicals will contaminate mailto:sami.albayati@gmail.com https://doi.org/10.22153/kej.2023.03.002 Khatab Emad Talib Al-Khwarizmi Engineering Journal, Vol. 19, No. 2, P.P. 36- 48 (2023) 27 water and cause damage to the aquatic environment[13,14]. Dyes affect photosynthesis processes where they block sunlight and prevent it from penetrating the layers of water to reach aquatic organisms and plants, in addition to the impact of these toxic chemicals resulting from dyes on human and animal health. [15,16]. Annually large quantities and different types of dyes are produced and used in industry in general. Mg dye is an organic dye with cationic basic which is often used in paper and pharmaceutical industries, leather and textile industries, and food industries as food coloring, and food additives and also used in other applications such as its use as a fungal and parasitic pesticide in the field of aquaculture as well as anthelminthic[17,18]. In addition to all these uses for dyeing mg, many studies have revealed the dangerous and toxic effects of the use of mg dye, as it is toxic to aquatic organisms because of the presence of strong metal ions, which tend to increase their toxicity to aquatic organisms as well as show that they affect plants where the roots of plants absorb water contaminated with mg dye where they affect metabolism. Teratological, carcinogenic threats, and mutagenic threats are considered untreated mg dye from one of their causes, affecting the food chain by entering and accumulating dye molecules in the food chain, leading to the aforementioned threats to mammalian cells[19]. Other unwanted impacts incorporate side effects on the liver, and spleen, heart harm, skin injuries, lessening in fertility rates, growth rate, and development. Despite this, they too act as a tumor promoters in liver cells by diminishing malachite green, expanding its perseverance, and actuating apoptosis and tumor. Hence, there's prime significance within the removal or treatment of MG color profluent due to its poisonous impacts on the biological system[20,21]. There are many methods used to remove dyes and these methods used are coagulation, electrochemical oxidation, membrane filtration, rhizoremediation, ozonation, reverse osmosis, Flocculation, precipitation, adsorption, phytoremediation, and ultrasonication [22,23] Of all the methods mentioned, the adsorption method is the most appropriate and has attracted researchers among the previous methods to use it in the purification of unprocessed water for the following reasons in terms of operational cost and removal of complex organic structures as well as in terms of the least productive of byproducts [24]. A nonreactive, equilibrium technique that includes particle accumulation on the two-section interface is known as adsorption [25]. Being fee- effective, easy operation, and quite efficient, the adsorption method is extensively used for the removal of poisonous dyes from the tainted environment [26 27]. Also, the overall performance of adsorptive separation improves with the traits of the adsorbent [28]. Properties together with the terror group, floor area, nontoxicity, reusability, and a fee of the adsorbent are of paramount significance withinside the dye expulsion from business effluents[29,30]. Different adsorbents exploited for MG dye adsorption consist of nylon microplastics[31], almond gum [32], litchi peel biochar [33], calcium alginate nanoparticles [34], Avena sativa hull [35], brewer’s spent grain[36], nanocomposites[37], and clayey soil [38]. In a few cases, the expensiveness of activated carbon organized from various substances limits its utilization withinside the dye elimination technique. Hence, little research was done on the soil as an adsorbent, for example, floor soils [39] and Laterite soil [40]. This study focused on the use of activated carbon derived from Ficus Binjamina agro-waste synthesized by pyro carbonic acid microwave method and treated with silicon oxide (SiO2) to produce AC/SiO2 composite precursor to remove MG produce dye from aqueous solution. Batch adsorption was utilized to investigate the effect of three factors with four variables of concentration of dye, mixing time, and the amount of adsorbent on the removal efficiency. 2. Experimental 2.1. Adsorbate Preparation Malachite Green (MG) dye stock at various concentrations was prepared from a standard solution of MG dye by dissolving 1 g of MG dye in 1 L of distilled water. The standard solution was diluted with distilled water to achieve the desired dye solution concentrations (20 – 80) mg/L. The various concentration of dye was determined using UV-visible spectroscopy with a calibration curve as illustrated in Figure 1. Khatab Emad Talib Al-Khwarizmi Engineering Journal, Vol. 19, No. 2, P.P. 36- 48 (2023) 28 Fig.1. Calibration Curve of MG concentration. 3.1 Experimental Design In this study, three independent factors with four levels of initial dye concentration, mixing time, and adsorbent dosage were selected for design experiments as shown in Table 1, whereas and Taguchi method with 16 experiments was generated by STATISTICA 12.5 Software to investigate their impact on the quality of MG dye adsorption as shown in Table 2. Table 1, Factors with their levels of Taguchi design method. Parameter Factor Level MG concentration (ppm) X1 20 40 60 80 Mixing time (min) X2 20 40 60 100 Dose of AC (g/L) X3 0.10 0.20 0.30 0.40 Table 2, Number of runs proposed by the Taguchi method Ci (ppm) Time (min) Dosage (g/L) 20 20 0.1 20 40 0.2 20 60 0.3 20 100 0.4 40 20 0.4 40 40 0.3 40 60 0.2 40 100 0.1 60 20 0.2 60 40 0.1 60 60 0.4 60 100 0.3 80 20 0.3 80 40 0.4 80 60 0.1 80 100 0.2 3.1 Adsorbent Preparation and Characterization The composite adsorbent was prepared (AC- SiO2) was prepared from Ficus Benjamin twigs collected from the gardens of the university of Baghdad. The twigs were firstly washed with water to remove dust and dried overnight in an oven at 100 degrees Celsius. The dried twigs were crushed and sieved through a mesh sieve (720 micrometer- 1mm), then the sample was impregnated at high temperatures, sio2 powder (30nm) was impregnated in 60% H3PO4 impregnated time of 4 hr, and impregnation ratio of 3:1 (acid/sample) The impregnated material filtered to remove excess acid and poured into a conical flask equipped in 700-watt power of microwave oven for activation under nitrogen flow of 150 cc/min with 20 min time of activation. The produced activated carbon was washed with hot water to remove the acid residue the washing water was tested for pH 6.5-7, and the activated carbon dried at 105˚C for 24 hr. In addition, the composite activated carbon was prepared by impregnating 25 g of AC in 250 ml of an aqueous suspension containing 1.25 g of SiO2 powder, and the resulting mixture was heated at 80 o C for 5 hours with 300 rpm stirring. The product was filtered, and the solid was washed with distilled water until the color in the residual liquid disappeared, then the solid product dried for 24 hours at 120 C, to obtain the desired adsorbent for the MG dye removal. SEM, and BET analyses were used to undertake the qualitative investigation of AC before adsorption. 3. Result and Discussion 3.1 Batch Experimental Studies A batch experiment was proposed using the Taguchi method as described before and the response as experimental removal efficiency is illustrated in Table 3. The batch experiments were carried out to evaluate the factor's effects and their interaction on the removal efficiency of MG. 250mL Erlenmeyer flask containing the necessary adsorbent (0.1- 0.4) g/L of AC-SiO2 and (20-80) ppm of MG dye solution. The solution was agitated on a temperature-controlled mixer for a specified contact period (20-100) min. The mixture of AC- SiO2 and dye solution was filtered after specific time intervals to remove the solid from the solution. Ultraviolet-visible spectroscopy was used to determine the equilibrium concentration of MG Khatab Emad Talib Al-Khwarizmi Engineering Journal, Vol. 19, No. 2, P.P. 36- 48 (2023) 29 dye. The MG adsorption capacity and efficiency were determined in equations 1 and 2. qe = (Co – Ce)V/M …(1) RE% = (Co – Ce)/ Co …(2) Where Co and Ce are dye initial and equilibrium concentrations (ppm), respectively; qe is the equilibrium capacity of MG (mg/g); V is the volume of MG solution (l); M is the mass of AC- SiO2 g). Table 3, Taguchi method for a batch design experiment Ci Time Dosage RE% 20 20 0.1 94.82% 20 40 0.2 95.39% 20 60 0.3 95.96% 20 100 0.4 96.53% 40 20 0.4 97.69% 40 40 0.3 97.98% 40 60 0.2 97.98% 40 100 0.1 97.41% 60 20 0.2 98.46% 60 40 0.1 98.65% 60 60 0.4 98.65% 60 100 0.3 98.27% 80 20 0.3 99.11% 80 40 0.4 99.13% 80 60 0.1 98.99% 80 100 0.2 98.70% The final empirical formula (model) of MG removal efficiency AC-SiO2 (Y) was generated by the Taguchi method as shown in equation 3, which was well fitted with experimental data with R 2 = 98.949556. 𝑌 = 𝑏0 + 𝑏1𝑋1 + 𝑏2𝑋2 + 𝑏3𝑋3 + 𝑏12𝑋1𝑋2 + 𝑏13𝑋1𝑋3 + 𝑏123𝑋1𝑋2𝑋3 + 𝑏11𝑋1 2 + 𝑏22𝑋2 2+𝑏33𝑋3 2 …(3) where Y is the removal efficiency of MG, b0, b1, b2, and b3 are linear coefficients, b12, b13, and b123 are second-order interaction terms, and b11, b22, and b33 are quadratic terms of each factor X1, X2, and X3 are the coded phrases for MG concentration, mixing duration, and AC-SiO2 dosage. Tables 4 show the estimated values of the model coefficient, standard error of each model term, and p-value. It is obvious from the table that all coefficients have a substantial effect on model accuracy because their p-values are less than 0.05. Table 4, Model coefficients, standard error, and terms p- values for removal MG by AC-SiO2 Coefficient Estimate Standard error t-value df=1 p-value Lo.Conf Limit Up.conf Limit b0 0.904901 0.005904 9 0.011287 0.890456 0.919346 b1 0.001784 0.000163 1 0.016568 0.001386 0.002183 b2 0.000349 0.000111 1 0.013976 0.000078 0.000620 b3 0.062459 0.030699 1 0.022429 -0.012660 0.137578 b12 -0.000001 0.000157 1 0.025932 -0.000001 -0.000001 b13 -0.000286 0.000321 1 0.016033 -0.001073 0.000500 b123 -0.000006 0.000739 1 0.0221875 -0.000006 -0.000006 b11 -0.000010 0.000218 1 0.0186909 -0.000010 -0.000010 b22 -0.000002 0.000954 1 0.0198723 -0.000002 -0.000002 Khatab Emad Talib Al-Khwarizmi Engineering Journal, Vol. 19, No. 2, P.P. 36- 48 (2023) 30 3.2 Adsorption Isotherm Model Several adsorption isotherm models can be used to understand the behavior of adsorbate molecules at a solid-liquid contact. Langmuir (Langmuir 1916) examined adsorption data at a constant temperature using equation (4) to assume that adsorption is conducted as monolayer adsorption on homogeneous sites. Whereas Freundlich (Freundlich 1925). examined adsorption data at a constant temperature using equation (5) assuming that adsorption was conducted as multilayer adsorption on heterogeneous sites. 1 𝑞𝑒 = 1 q𝑚 + 1 𝑘𝐿 𝑞𝑚 𝑐𝑒 …(4) ln 𝑞𝑒 = ln 𝑘𝑓 + ( 1 𝑛 ) ln 𝐶𝑒 …(5) where qe (mg/g) is the equilibrium adsorption capacity, and qm (mg/g) is the full monolayer adsorption capacity. Ce (mg/l) represents the equilibrium MG concentration, kl (l/mg), kf (l/mg) and 1/n are constants. The adsorption behavior of MG on AC-SiO2 was represented by Langmuir and Freundlich models as shown in Figures 2 and 3. It’s noted from these Figures that the adsorption followed the Freundlich model (R 2 = 0.9906) which implies that the MG adsorption process occurred on the assumption of multilayer adsorption on the heterogeneous surface of AC-SiO2. This behavior is similar to that reported by [41]. Table 5 summarizes the Langmuir and Freundlich coefficients that fitted with experimental data for malachite green (MG) adsorbed on AC-SiO2. Fig. 2. Langmuir isotherm model for MG adsorption by AC-SiO2. Fig. 3. Freundlich isotherm model for MG adsorption by AC-SiO2. Table 5, Freundlich and Langmuir coefficients for MG adsorption on AC-SiO2 3.3 Kinetics of Adsorption The adsorption process mechanism of MG on AC-SiO2 can be represented by several kinetic models. The pseudo-first-order and pseudo- second-order models as well-known models to observe the mechanism of the adsorption process as physisorption or chemisorption are represented by equations 6 and 7. ln(𝑞𝑒 − 𝑞𝑡 ) = ln 𝑞𝑒 − 𝑘1𝑡 …(6) 𝑡/𝑞𝑡 = (1/𝑘2𝑞𝑒 2) + (𝑡/𝑞𝑒 ) …(7) where qe (mg/g) is the equilibrium adsorption capacity, qt (mg/g) is the adsorption capacity, t (min) is the time of adsorption, kl (l/min) and k2 (mg/g.min) are constants. Figures 4 shows the plot of ln (qe − qt) versus time of adsorption (t) as a pseudo-first-order model as given in equation (5) with the value of model (R 2 = 0.9458) whereas Figure 5 shows the plots of t/qt versus time of adsorption (t) as pseudo-second- order model as given in equation (6) with the value of model (R 2 = 0.9657). It’s noted that the adsorption process is well-fitted with a pseudo- Langmuir Freundlich KL (L/mg) qm (mg/g) R2 Kf (mg/g ) n R2 0.09551 65.7696 0.9851 2.2305 1.3927 0.9906 Khatab Emad Talib Al-Khwarizmi Engineering Journal, Vol. 19, No. 2, P.P. 36- 48 (2023) 31 second-order model which means that the mechanism of the adsorption process complied with chemisorption. This mechanism is similar to that reported by [42]. The kinetic parameters for two kinetic models and correlation coefficients were summarized in Table 6. Fig. 4. Plots of pseudo-first-order adsorption kinetics of MG adsorption mechanism. Fig. 5. Plots of pseudo-second-order adsorption kinetics of MG adsorption mechanism Table 6, The kinetic parameters for two kinetic model and correlation coefficients. Pseudo-first order Pseudo-second order qe, exp (mg/g) K1 (1/min) qe,cal (mg/g) R2 K2 (g/mg min) qe, cal (mg/g) R2 47.4356 0.00017 25. 641 0.9548 0.07707 49.9 0.9981 3.4 Adsorbent Characterization 3.4.1. Characterization using BET Brunaure-Emmett-Teller technique (USA, HORIBA, SA-900 series) was used to determine the specific surface area of the activated carbon sample based on liquid nitrogen adsorption- desorption isotherm at temperature (77K), and the data obtained are summarized in Table 7. Table 7, BET analysis of AC Sample weight 0.0255 [g] Standard volume 9.779 [cm3] Dead volume 15.21 [cm3] Equilibrium time 0 [sec] Adsorptive N2 Apparatus temperature 0 [C] Adsorption temperature 77.000 [K] Saturated vapor pressure 84.772 [kPa] Adsorption cross section area 0.162 [nm2] Khatab Emad Talib Al-Khwarizmi Engineering Journal, Vol. 19, No. 2, P.P. 36- 48 (2023) 32 BET plot Vm 15.454 [cm 3(STP) g-1] as,BET 672.65 [m 2 g-1] C 66.879 Total pore volume (p/p0=0.990) 0.5889 [cm 3 g-1] Mean pore diameter 35.02 [nm] The BET surface area of activated carbons treated with SiO2 produced from Ficus Benjamin was found to be relatively high, with the optimal surface area being 672 m 2 /g. The adsorption cross- section area of the sample is 0.162 nm 2 in the nanopore range. The average pore width was determined to be 35.025 nm, which corresponds to IUPAC categories of nanoporous materials within the given range [43]. 3.4.2. Characterization using SEM A scanning electron microscope was used to analyze the surface shape and topographical features (SEM). The generated photographs are three-dimensional and accurately depict the surface form. The Energy Dispersive X-ray Spectrophotometer is used to examine the AC/SiO2 precursor elements (EDS). SEM-EDS analysis was performed using TESCAN, Vega III, Czech Republic. Figure 6 shows the morphology of the AC/SiO2 precursor surface is not smooth and not homogeneous in appearance, with somewhat visible pores with a layered structure and spongy nature and various pores sizes and shapes. These holes' variability in sizes and shapes arose from the breakdown and volatilization of non-carbonaceous material in feedstock, and the pores generated as a result of chemical and physical activation provide dyes a good chance of being adsorbed. The white spot on the surface of the precursor is referred to SiO2 which increases the surface area without blocking porosity, the presence of SiO2 makes a thin layer on the surface of the AC which increases the curvature leading to an increase in the surface area. Fig. 6. SEM for AC. 3.4.3 Characterization using FTIR Fourier Transform Infrared Spectroscopy was utilized to determine the functional groups that occur on the surface of both Ficus Benjamin and AC/SiO2. The infrared spectra were examined using a Fourier transform infrared spectrophotometer (IR Affinity-1 Shimadzu, Japan). Figure 7 (a, b) show the FTIR of AC used in the research. Khatab Emad Talib Al-Khwarizmi Engineering Journal, Vol. 19, No. 2, P.P. 36- 48 (2023) 33 (a) (b) Fig. 7. a) FTIR for AC/SiO2, b) FTIR for Ficus Benjamin WOOD. Ficus Benjamin and AC's FTIR spectra, as seen in Fig. 7 (a and b). It is obvious that the FTIR spectra of AC have lower intensities than the spectrum of Ficus Benjamin and that many of Ficus Benjamin's peaks have vanished. This evanescence is caused by the dissolution of chemical bonds during the H3PO4-impregnation, which then causes the carbonization process to eliminate and liberate a variety of volatile molecules [44]. The AC FTIR spectra revealed four peaks at 3425, 1647, 1554, and 1415 cm -1 . It is possible that the hydroxyl group of the O-H stretching vibration appears at 3425 cm -1 [45]. The peak of about 1554 cm -1 could be attributed to C=C stretching vibrations in the aromatic rings, and the band around 1647 cm -1 to CC stretching vibrations in the alkyne groups [46]. While the 1415 cm -1 peak shows the presence of C- O stretching vibrations in alcohols, phenols, acids, ethers, or esters [47]. 3.5. Surface Analysis Response The effect of MG concertation, time of mixing, and dose of adsorbent on removal efficiency at pH = 4 and mixing speed = 400 rpm are illustrated in 3D response surface plots as shown in Figure 8 and 9. Figure 8 depicts the effect of various initial concentrations of MG dye (20, 40, 60, and 80) mg/L with an adsorbent dose ranging from (0.1 - 0.4) g/50 ml. It’s noted from this figure that the adsorption of MG dye increase as the adsorbate concentration increases until it reaches to surface saturated with adsorbate concentration (80 mg/L) Khatab Emad Talib Al-Khwarizmi Engineering Journal, Vol. 19, No. 2, P.P. 36- 48 (2023) 34 which means that the adsorbent has more free active sites on its surface to facilitate adsorption [19]. Likewise, as shown in Figure 9, the effect of MG concentration with various mixing time (20- 100) min, as the time of mixing increased the removal efficiency increased before becoming constant at 80 mg/L which mean that the active site of the adsorbent saturated with MG particles [41]. Fig. 8. removal efficiency of MG versus concentration and adsorbent dose. Fig. 9 Removal efficiency of MG versus concentration and time of mixing. 4. Conclusion The present research revealed that Ficus Binjamina agro-waste can effectively be used as a raw material for the preparation of activated carbon pyro carbonic acid microwave method silicon oxide (SiO2) as composite material for the removal of MG dye from aqueous solutions. The adsorption process followed the Freundlich and pseudo- second-order kinetic models which explained that the adsorption may involve multilayer adsorption behavior with interactions between the adsorbate molecules and the availability of the adsorbent sites than the adsorbate concentration. pesticides in Khatab Emad Talib Al-Khwarizmi Engineering Journal, Vol. 19, No. 2, P.P. 36- 48 (2023) 35 solution. The experiment conditions with the method of activation were optimized using the experimental design methodology and the results were analyzed with the STATISTICA 12.5 Software. The results of the adsorption studies show that the equilibrium of adsorption was reached in around 40 minutes, and the best adsorbent was discovered to be 80 mg/ L at pH 6 and a mixing speed 400 rpm. According to the desorption investigations, the malachite green was preferably adsorbed on the carbon surface in the presence of silicon oxide. 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(2023) 26-38، صفحة 2، العدد19مجلة الخوارزمي الهندسية المجلد خطاب عماد طالب 38 المنشط من الملكيت األخضر من المحلول المائي باستخدام أكسيد الكربون الالفلزيصبغة إزالة الذي تم تصنيعه بواسطة الميكروويف مع حمض الكربونيك نبات الفيكس بنجامينا سامي داود سلمان** خطاب عماد طالب* جامعة بغداد *،**قسم الهندسة الكيميائية االحيائية/ كلية الهندسة الخوارزمي/ khattab.i@kecbu.uobaghdad.edu.iq*البريد االلكتروني: sami.albayati@gmail.comي:**البريد االلكترون الخالصة والُمصنَّع بواسطة طريقة الميكروويف مع حمض الفسفوريك الزراعية تم استخدام الكربون المنشط المشتق من المخلفات الزراعية لنبتة الفيكس بنجامينا تم دراسة ثالثة عوامل من المحلول المائي. )MG ( لتعزيز قدرة الكاربون المنشط المتزاز لصبغة الملكيت األخضر )2SiO (ومعالجته بأوكسيد السيليكون خضر من المحلول المائي منها تركيز الصبغة، وقت الخلط وكمية الكربون المنشط. بأربعة مستويات للتحقق من تأثيرها على كفاءة أزالة الصيغة الملكيت األ ٪. وقد 99.13دقيقة كشرط أمثل للوصول الى كفاءة اإلزالة بحدود 40ومدة امتصاص مجم / لتر، 80تركيز صبغة لتر،جم / 0.4أظهرت النتائج أن جرعة امتزازكانت أفضل النماذج لوصف بيانات الثانية الدرجةفروندليتش فضال عن النماذج الحركية الزائفة من نموذج التوازن الحراري كشفت النتائج أيًضا أن .التوازن دعن األخضرصبغة الملكيت mailto:sami.albayati@gmail.com