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Original article
2021
:14;
202108
doi:
10.1016/j.arabjc.2021.103281

Development of fast and high-efficiency sponge-gourd fibers (Luffa cylindrica)/hydroxyapatite composites for removal of lead and methylene blue

Department of Food Science & Technology, Keimyung University, Daegu 42601, Republic of Korea
Nanotechnology and Advanced Materials Central Lab, Regional Center for Food & Feed, Agricultural Research Center, Giza, Egypt
Water Pollution Research Department, National Research Centre, 33 El Bohouth St, Dokki, Giza, P.O. 12622, Egypt
Department of Biology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

⁎Corresponding author at: Department of Food Science & Technology, Keimyung University, Daegu 42601, Republic of Korea; Nanotechnology and Advanced Materials Central Lab, Regional Center for Food & Feed, Agricultural Research Center, Giza, Egypt. aahmedoun2013@gmail.com (Ahmed A. Oun)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Oxidized-fibers, cellulose, and oxidized-nanocellulose were isolated from sponge-gourd fibers (Luffa cylindrica) and used as natural, non-toxic, and low-cost adsorbents. The effect of three luffa forms with or without hydroxyapatite (HAp) on the removal efficiency of lead ions (Pb2+) and methylene blue (MB) was investigated. HAp was successfully synthesized on the surface of Luffa with an average length of 40–56 nm and a width of 14–19 nm. Prepared materials showed differences in morphology (shape and size), chemical structure, and crystalline properties. The effect of sorbent type, contact time, and initial MB and Pb2+ concentrations were studied. The results showed that luffa/HAp composites were more effective in removal of Pb2+ ions than MB compared to Luffa without HAp, and vice versa. Kinetic and adsorption studies of MB and Pb2+ ions were well fitted with the pseudo-second-order and Langmuir models. The maximum adsorption capacity of Pb2+ was 625 mg/g, 714 mg/g, and 714.5 mg/g for oxidized-fibers/HAp, oxidized-nanocellulose/HAp, and cellulose/HAp, respectively, at dose 4 g/L, pH 5.3, 25 °C. While the maximum adsorption capacity of MB was 25.2 mg/g, 30.8 mg/g, and 36.2 mg/g for oxidized-fibers/HAp, oxidized-fibers, and cellulose, respectively, at dose 4 g/L, pH 7.3, 25 °C. Also, more than 95% of lead (500 mg/L) and 85% of MB (25 mg/L) were removed within the first 5 min. Separately, cellulose sample was the most effective in removing MB while cellulose/HAp for removal of Pb2+. However, oxidized-fibers/HAp composite was the easiest to prepare and the most effective in removing both MB and Pb2+.

Keywords

Oxidized-nanocellulose
Hydroxyapatite
Methylene blue
Lead ions
Wastewater treatment
1

1 Introduction

Pollution of water is one of the biggest problems facing the world, especially in developing countries. Water is easy to pollute by highly toxic and hazardous organic dyes and heavy metals from various industrial wastes (Hokkanen et al., 2018). These pollutants can reach humans and other live organisms through contaminated food, water, and air, pose greater risks due to their high toxicity and serious accumulation problems. Several technologies such as precipitation, filtration, ion exchange, solvent extraction, coagulation, and adsorption have been used for obtaining usable water (Ambashta and Sillanpää, 2010; Hassan et al., 2020). However, the high cost, toxicity, and low removal percentage of removal materials forced researchers to find low price, safer, and renewable materials (Tshikovhi et al., 2020).

For this, more attention has been given to biomaterials like cellulose, cellulose- derivatives chitin, chitin-derivatives, gelatine, and starch to remove contaminants from water. Among these biomaterials, cellulose-based materials are the most plentiful natural, sustainable, environmentally friendly, and biocompatible polymer on Earth (Li et al., 2015). Cellulose can be obtained from various raw materials such as agricultural waste, agro-industrial residues, fruit and vegetable wastes, paper wastes, grasses, marine biomass, and wood (Kumar et al., 2020). The unique properties of cellulosic materials, i.e., low-cost, high mechanical strength, and abundant functional hydroxyl groups, make it a promising candidate in water treatment in the shape of membranes, adsorbents, and flocculants (Mohammed et al., 2018).

Luffa sponge (Luffa cylindrica) is one of the cellulose sources, a subtropical non-wood plant that belongs to the Cucurbitaceous family (Khadir et al., 2021). The good properties of luffa sponge fibers, such as a high cellulose content (55–90%), biodegradability, non-toxic, low-cost, lightweight, eco-friendly properties, make it one of the promising natural fibers (Anastopoulos and Pashalidis, 2020; Hong et al., 2020). Because of these properties, luffa sponge fibers were used in diverse applications as a reinforcement material, as a mold to produce porous materials, in the pharmaceutical field, electrocatalysts, and water treatment (Mary Stella and Vijayalakshmi, 2019; Taimur-Al-Mobarak et al., 2018a). In the water treatment field, luffa sponge fibers have been used as an effective adsorbent in the removal of heavy metals and dyes from contaminated water due to its fast adsorption kinetics, large surface area, and high stability properties (Anastopoulos and Pashalidis, 2020; Liatsou et al., 2017b). Therefore, Luffa has been used as a natural bio-adsorbent in the removal of toxic metals and dyes such as Pb2+ ions (Adewuyi and Pereira, 2017), methylene blue dye (Demir et al., 2008), copper (Liatsou et al., 2017a) oil (Alvarado-Gómez et al., 2021), and malachite green (Altinişik et al., 2010), phenol (Abdelwahab and Amin, 2013), cationic surfactant (Ye et al., 2013), lanthanide (Liatsou et al., 2017b), and many other toxic metals and dyes from contaminated water (Anastopoulos and Pashalidis, 2020).

However, it has frequently been observed that cellulosic materials like Luffa can effectively remove dyes while low ability with heavy metals (Mallampati et al., 2015). For example, the maximum adsorption capacity of Luffa cylindrica sponge to Pb2+ ions was 4.63 mg/g for raw luffa fibers and increased to 13.48 mg/g after treatment of luffa fibers with NaOH (Saueprasea et al., 2010), 24.9 mg/g of luffa fibers treatment with 4% NaOH (Emene and Edyvean, 2019). While the maximum reported values were 51 mg/g using luffa fibers charcoal (Umpuch et al., 2011), 75.8 mg/g by luffa cylindrica sponge (Adewuyi and Pereira, 2017), and 112 mg/g using activated carbon from luffa cylindrica doped chitosan (Gedam and Dongre, 2016). As shown in previous results, Luff materials have a low removal ability of metals such as Pb2+ ions. In contrast, materials like hydroxyapatite nanoparticles (HAp) showed high metal removal efficiency. For this purpose, The HAp is a suitable nanomaterial to use with a luffa to take the full advantage of both materials.

Hydroxyapatite nanoparticles (HAp) with the formula of Ca10(PO4)6(OH)2 is considered a natural, non-toxic material and a principal inorganic constituent of bones and teeth. So, it is extensively used in the biomedical field (Niamsap et al., 2019). HAp is one of the most effective removal materials of cationic and anionic contaminants from contaminated water (Li et al., 2018a,b). Using HAp as a composite with one or two materials increased the composite removal efficiency of a wide range of heavy metals (Hokkanen et al., 2018). To the best of our knowledge, no paper has been published on using different luffa forms/hydroxyapatite composite to remove both methylene blue and lead ions (Demir et al., 2008; Gupta et al., 2013).

For this, the present work aims to prepare and develop low-cost, effective, and eco-friendly pollutant removal materials from luffa sponge-gourd fibers in different forms (oxidized-fibers, cellulose, and oxidized-nanocellulose)/HAp for removal of both methylene blue and Pb2+ ions effectively. The effect of morphology, chemical structure of isolated materials, and presence or absence of HAp on the removal efficiency of methylene blue dye and Pb2+ ions was studied. Also, the study was conducted to determine the easiest and most effective method to obtain multifunction luffa/HAp composite with removal efficiency against both dyes and heavy metals.

2

2 Experimental

2.1

2.1 Materials

Sponge-gourd fibers (Luffa cylindrica) were obtained from a local shop in Giza, Egypt. Calcium hydroxide (Ca (OH)2), phosphoric acid (H3PO4, 85%), acetic acid, and ammonium hydroxide (30%) were purchased from (Sigma-Aldrich, St. Louis, MO, USA). Hydrogen peroxide (H2O2, 30%) was obtained from (S.D fine Chem Limited Mumbai, India). Sodium chlorite (NaClO2) was supplied by (Carl Roth, GmbH & Co. Kg). Potassium hydroxide (KOH) was obtained from (Honeywell, GmbH, Germany).

2.2

2.2 Isolation of cellulose from luffa fibers (LF)

Cellulose was isolated from sponge-gourd fibers (Luffa cylindrica) following the method described by Oun and Rhim (Oun and Rhim, 2016). Briefly, luffa fibers were cut into small pieces and washed several times with tap water to remove impurities and attached dust, then dried in an air oven at 100 °C for 24 h. The dried luffa fibers were ground into fine powder for further use. Thirty grams of dried luffa fibers powder were dispersed into 1000 mL of sodium chlorite solution 1.4% (w/v) with adjusting the pH to 4 using 5% acetic acid and heated at 70 °C/5 h with stirring to remove lignin. The mixture was washed with distilled water several times until the filtrate became neutral. The residues were collected and oven-dried until constant weight to calculate lignin content from the difference in weights. After removing lignin, hemicellulose was removed by soaking holocellulose (hemicellulose and α-cellulose) into 600 mL of 5% KOH solution for 24 h at room temperature with stirring, then heated at 90 °C /2h. Obtained cellulose was washed and dried to calculate the percentage of hemicellulose and cellulose. The resulted chemical composition of original luffa fibers was cellulose 60%, hemicelluloses 26.6%, lignin 13.4%. This result in agreement with results previously reported by Hong et al. (2020) and Taimur-Al-Mobarak et al. (2018b).

2.3

2.3 Preparation of oxidized-fibers and oxidized-nanocellulose.

Ground luffa fibers and isolated cellulose were used for isolation of oxidized-fibers and oxidized-nanocellulose, respectively. For this, 5 g of raw luffa fibers or isolated cellulose separately were added into 100 mL of hydrogen peroxide (30%) then heated at 90 °C for 5 h with stirring. The suspensions were washed with distilled water several times to pH ∼ 6. Oxidized fibers and oxidized-nanocellulose suspensions were dried in an air oven at 100 °C until constant weight for calculating the yields, which were 54% and 50%, respectively.

2.4

2.4 Synthesis of luffa/hydroxyapatite composites

Hydroxyapatite (HAp) was synthesized in the presence of different luffa forms following the method reported by Niamsap, Lam, and Sukyai (Niamsap et al., 2019) with modification. One gram of each luffa form (i.e., oxidized-fibers, cellulose, or oxidized nanocellulose) was redispersed into 100 mL of distilled water using a homogenizer (Stuart, SHM2 /EURO, USA) at 5000 rpm until completely dispersed. Then, 0.741 g of calcium hydroxide was added to the previous suspension and sonicated in water bath sonication at 60 °C/ 30 min. The pH of the suspension was adjusted to 10 using acetic acid and stirred for 60 min/ 60 °C. Phosphoric acid (0.410 mL into100 mL water) was added dropwise into the mixture, and the pH was adjusted to 10 by ammonium hydroxide with stirring at 60 °C/ 3 h. Finally, the mixture was aged at room temperature for 24 h, then washed using distilled water until pH became 7–8, and dried at 80 °C. Obtained powders were called oxidized-fiber/HAp (S4), cellulose/HAp (S5), and oxidized-nanocellulose/HAp (S6), as illustrated in Fig. 1.

Schematic illustration for preparation of luffa/HAp composites for removal of methylene blue and lead ions.
Fig. 1
Schematic illustration for preparation of luffa/HAp composites for removal of methylene blue and lead ions.

2.5

2.5 Characterization of luffa and luffa/hydroxyapatite

Morphology and dimensions of oxidized-fibers (S1) and isolated cellulose (S2) were observed using field emission scanning electron microscopy (Quattor S, Thermo Scientific, USA). While, high-resolution transmission electron microscopy (HR-TEM, Tecnai G20, FEI, Netherland) was used for oxidized-nanocellulose (S3), oxidized-fibers/HAp (S4), cellulose/HAp (S5), and oxidized-nanocellulose/HAp (S6) imaging. A drop of S3, S4, S5, and S6 samples (0.05%) was placed onto a nickel grid (300 mesh) then left to dry at room temperature for TEM observation. The average width of 20–30 fibers and the length and width of about 50 CNCs and HAp were measured at different places using internal measurement software of SEM and TEM instrumentation.

Fourier-transform infrared spectroscopy (FTIR- 6100 Jasco, Japan) was used to test the change in the chemical structure of sorbents over a range of 4000–400 cm−1 at room temperature with a resolution of 4 cm−1.

X-ray diffraction (XRD) of sorbents was performed using XRD diffractometer with reflection mode (XRD − X’Pert PRO PANalytical, Netherland), which operated at 45 kV and 30 mA using X-ray source “Cu Kα radiation” (λ = 1.5404 Å) and high score plus software for peaks matching and analysis. Dry samples were scanned in the range of 2θ = 10 − 80° with a scanning rate of 0.4°/min at room temperature. The crystallinity index (CI) of samples was calculated using the following equation after subtraction of the background (Eq. (1)) (French, 2014).

(1)
C I ( % ) = I 200 - I am I 200 × 100 where I200 is the maximum intensity value for the crystalline cellulose at plane (2 0 0), and Iam is the minimum intensity value for the amorphous cellulose.

2.6

2.6 Adsorption studies

2.6.1

2.6.1 Effect of sorbents type

A comparative adsorption study was carried out to determine the best efficient sorbent between the following samples, oxidized-fibers (S1), cellulose (S2), oxidized-nanocellulose (S3), oxidized-fibers/HAp (S4), cellulose/HAp (S5), and oxidized-nanocellulose/HAp (S6). Two representative contaminants, methylene blue (MB) and lead (Pb+2) were used in this study. Precisely, 0.4 g of the prepared sorbents was added to 100 mL of 25 mg/L methylene blue (pH = 7.3) or 100 mg/L lead ions (pH = 5.3) solution separately. The mixtures were shaken at 150 rpm for 120 min and filtered. Then, the remaining concentrations of MB were measured by spectrophotometer (Cary 5000, Varian, England) at a wavelength of 633 nm. The remaining Pb+2 ions concentrations were determined by the atomic absorption spectrometer (Varian SpectrAA220). The removal efficiency (R%) of sorbents was calculated using the following equation (Eq. (2)):

(2)
R % = C o - C t C o × 100 where Co and Ct are the initial concentration and the remaining concentration of pollutants in (mg/L) after contact time (t), respectively.

2.6.2

2.6.2 Effect of contact time

The batch experiments have been employed to study the influence of contact time on the removal efficiency of sorbents for MB (25 mg/L) and Pb+2 ions (500 mg/L). For this, 0.4 g/100 mL of the best efficient sorbents (according to preliminary experiments results) were added to the contaminant solutions. The mixtures were shaken at room temperature for a certain time (2–120 min). The regular procedure of filtration and analysis was applied to calculate the removal efficiency (R%) from Eq. (2).

2.6.3

2.6.3 Effect of initial MB and Pb2+ ions concentrations

The removal study at different concentrations of MB (5, 10, 25, 50, 100 and 225 mg/L) and Pb2+ ions (200, 500, 1000, 2000, 3000, and 4000 mg/L) were also investigated at conditions of 0.4 g /100 mL of the best efficient sorbents for 120 min contact time. The removal efficiency (R%) was calculated by filtration of solutions and measuring the remaining concentrations.

2.6.4

2.6.4 Kinetic and isotherm studies

Four different kinetic models namely; pseudo-first-order, pseudo-second-order, intra-particle diffusion, and Elovich were used to identify the sorption rate constants of MB and Pb2+ ions removal (Azizian, 2004). Furthermore, Langmuir, Freundlich, Temkin, and Dubinin–Radushkevich (D-R) adsorption isotherms were applied to study how the adsorbate molecules interact with the sorbent particles (Doǧan et al., 2004). The linear form of the equations and constants of the kinetic models and sorption isotherms are listed clearly in Table 1.

Table 1 Kinetics and isotherms models for the removal of pollutants onto sorbents.
Kinetics Models
Models Equations Variables Graph Remarks
Pseudo-first-order Log (qe- qt) = log qe – (k1/2.303) t
Where;
qt = (C0 – Ct) * (V/M)
qe: equilibrium sorption capacity (mg/g)
qt: capacity of sorption (mg/g) at a time (t, min)
k1 : the rate constant (min−1)
V: volume of solution (L)
M: mass of the sorbent added (g)
log (qe– qt) Vs t
Pseudo-second-order t/qt = 1/k2qe + (1/qe) t k2: the rate constant (g/mg. min) t/qt Vs t
Intra-particle diffusion model qt = kp (t)0.5 + c kp: intra-particle diffusion rate (mg. g−1min1/2)
C : constant
qt Vs t0.5
Elovich qt = (1/β) ln (αβ) + (1/β) ln (t) β: the desorption constant (mg. g−1.min)
α : the initial adsorption rate (mg. g−1.min−1)
qt Vs ln t
Isotherms Models
Langmuir isotherm Ce/qe = 1/bqmax + (1/qmax) Ce
RL = 1/(1 + bC0)
b: the Langmuir constant (l/mg)
qmax: the maximum sorption capacity (mg/g)
RL : separation factor
Ce/qeVs Ce RL = 1: shows linear adsorption
RL = 0: illustrates irreversible
RL > 1: represents unfavorable adsorption
0 < RL < 1 : indicated good adsorption
Freundlich isotherm ln qe = ln kf + (1/n) ln Ce kf: the Freundlich constant
n : the strength of adsorption
ln qe Vs ln Ce n = 1: characterizes linear adsorption
n < 1: represents the chemical process
n > 1: designates the physical process
Temkin isotherm qe = (RT/b) ln kt + (RT/b) ln Ce b: the Temkin constant corresponding to the adsorption heat
R: the universal gas constant (0.00813 kJ/mol K)
Kt: the equilibrium binding constant (mol/l)
T : the temperature (K)
qe Vs ln Ce
(D–R) isotherm ln qe = ln qm − βɛ2
ɛ = RT ln (1 + 1/Ce)
E = 1/(2β)0.5
β: the activity coefficient
Ɛ: the Polanyi potential
E : Sorption energy
ln qe Vs ɛ2

3

3 Results and discussion

3.1

3.1 Morphology properties

Morphology properties of different luffa samples with or without hydroxyapatite nanoparticles (HAp) are shown in Fig. 2. The structure of oxidized luffa fibers (S1) and isolated cellulose (S2) was observed using the field emission scanning electron microscope (FE-SEM) Fig. 2 (S1 and S2). The apparent shape of raw luffa fibers was light brown (Fig. 1) and converted to white with a rough and flat surface after treatment with H2O2, as shown in an inset image (Fig. 2 S1 and S2). This mainly was due to the removal of wax, lignin, non-cellulosic materials, and other extractives by H2O2 via oxidative degradation process (hydroperoxide anion (HOO) and radical species) (Taimur-Al-Mobarak et al. (2018b)). A similar result was observed when rice straw treated with 30% H2O2 (Oun and Rhim, 2018). Samples S1 and S2 showed a web-shape structure with long fibrils and average width 17.5 ± 3.1 µm and 20.1 ± 2.0 µm for S1 and S2, respectively.

SEM images of (S1) Oxidized-luffa fibers and (S2) Isolated cellulose from Luffa; TEM images of (S3) Oxidized-nanocellulose, (S4) Oxidized-luffa fibers/HAp, (S5) Cellulose/HAp, and (S6) Oxidized-nanocellulose/HAp.
Fig. 2
SEM images of (S1) Oxidized-luffa fibers and (S2) Isolated cellulose from Luffa; TEM images of (S3) Oxidized-nanocellulose, (S4) Oxidized-luffa fibers/HAp, (S5) Cellulose/HAp, and (S6) Oxidized-nanocellulose/HAp.

The microstructure and dimensions of oxidized-nanocellulose (S3), oxidized-fibers/HAp (S4), cellulose/HAp (S5), and oxidized-nanocellulose/HAp (S6) are determined using TEM imaging, as shown in Fig. 2 (S3-S6). The S3 sample was obtained via oxidation of isolated cellulose by H2O2, resulting in a needle-shaped structure with an average length of 192 ± 37 nm and a width of 25 ± 6 nm. Reportedly, Koshani et al. (2018) used H2O2 for isolation carboxylated cellulose nanocrystals with an average width of 23 nm and length of 263 nm (Koshani et al., 2018).

On the other hand, the resulted luffa forms (S1, S2, and S3) were used as a template for loading HAp. It can be seen that HAp nanoparticles were successfully synthesized on the surface of samples, as shown in Fig. 2 (S4-S6). The average length and width of HAp synthesized on the surface of S4 were (56 ± 17 nm and 19 ± 4 nm), S5 (53 ± 14 nm and 22 ± 5 nm), and S6 (32 ± 5 nm and 14 ± 3 nm). It is interesting to note that HAp nanoparticles are presented in abundance but relatively agglomerated on the surface of the S4 sample. However, it is densely and uniformly attached to the surface cellulose (S5). While in the case of sample S6, it showed less content of HAp, which probably was related to the small dimensions of prepared oxidized-nanocellulose. Also, it looks that the presence of HAp helped in an agglomeration of the oxidized-nanocellulose (S6) compared to without HAp (S3). Similar agglomeration behavior was observed when HAp prepared with nanocellulose at different ratios (Lu et al., 2019). It has been reported that the presence and concentration of cellulose nanofibrils play a significant role in nucleation, growth, and regulation (size and morphology), subsequently distribution or agglomeration of HAp on the surface of cellulose film (Narwade et al., 2017). In this study, it can be concluded that the preparation method and size of luffa samples played a significant role in synthesizing, attaching, and distributing HAp on their surfaces.

3.2

3.2 FTIR analysis

The change in chemical structure of luffa samples with or without HAp was performed via FTIR analysis, and the results are shown in Fig. 3. The characteristic absorption peaks of oxidized-Luffa fibers (S1), cellulose (S2), and oxidized nanocellulose (S3) are observed at 3334 cm−1 (O—H stretching), 2898 cm−1 (CH2 groups of cellulose), 1631 cm−1 (C1—O—C4), 1429 cm−1 (O—H groups) (Niamsap et al., 2019), peak at 1054 cm−1 (C—O stretching vibrations), 1029 cm−1 (C1—O—C6), and 896 cm−1 associated with β-glycosidic linkages between glucose units (Hernández-Francisco et al., 2020). The FTIR spectra of luffa fibers (S1) and oxidized-nanocellulose (S3) samples exhibited a new absorption peak at 1733 cm−1, resulted from the introduction of C⚌O groups. The introduction of carbonyl groups (C⚌O) in acid form is due for the oxidation of C6 in the glucose ring from the cellulose structure after H2O2 treatment (Oun and Rhim, 2018).

FTIR spectra of (a) Oxidized-luffa fibers (S1) and Oxidized-luffa fibers/HAp (S4), (b) Cellulose (S2) and Cellulose/HAp (S5), (c) Oxidized-nanocellulose (S3) and Oxidized-nanocellulose/HAp (S6), (d) Control HAp.
Fig. 3
FTIR spectra of (a) Oxidized-luffa fibers (S1) and Oxidized-luffa fibers/HAp (S4), (b) Cellulose (S2) and Cellulose/HAp (S5), (c) Oxidized-nanocellulose (S3) and Oxidized-nanocellulose/HAp (S6), (d) Control HAp.

The characteristic peaks of HAp are observed at 1036 cm−1 corresponded to ʋ3 PO43− group (Niamsap et al., 2019), 873 cm−1, and 1425 cm−1 related to the presence of CO32– (Yu et al., 2013). The samples of S4, S5, and S6 containing HAp showed some typical HAp peaks at 871 cm−12 CO32–) and 1026 cm−13 PO43−). Also, it can be seen that the peak intensity of O—H and C—H groups in samples S4, S5, and S6 were significantly decreased, probably due to the interaction of these groups with HAp, which helped in attaching HAp on the surface of CNCs (Narwade et al., 2017).

3.3

3.3 XRD analysis

XRD analysis was used to determine of crystalline structure and chemical composition of luffa samples with and without HAp. The XRD diffraction patterns of Luffa and luffa/HAp samples are shown in Fig. 4. The characteristic peaks of cellulose were observed at lattice planes (1 1 0), (2 0 0), and (0 0 4), which are related to native cellulose structure (Oun and Rhim, 2016). Oxidized-luffa fibers (S1), isolated cellulose (S2), and oxidized-nanocellulose (S3) showed different diffraction pattern intensities due to different chemical treatments. Treatment of luffa fibers with H2O2 presented fewer peak intensities than samples S2 and S3, probably due to the role of H2O2 in removing lignin only. While in the case of sample S2, the peak intensity was increased, which may be due to the removal of non-cellulosic parts (hemicellulose and lignin). Compared to sample S1 and S2, sample S3 presented the highest peak intensity, perhaps due to the removal of non-cellulosic parts and amorphous regions in cellulose fibers (Oun and Rhim, 2018). The crystallinity index (CI) was calculated using Eq. (1), and the results were 73.5%, 82.4%, and 84.4% for samples S1, S2, and S3, respectively.

XRD spectra of (S1) Oxidized-Luffa fibers, (S2) Cellulose (S3) Oxidized-nanocellulose, (S4) Oxidized-luffa fibers/HAp, (S5) Cellulose/ HAp, (S6) Oxidized-nanocellulose/HAp, and HAp (inset figure).
Fig. 4
XRD spectra of (S1) Oxidized-Luffa fibers, (S2) Cellulose (S3) Oxidized-nanocellulose, (S4) Oxidized-luffa fibers/HAp, (S5) Cellulose/ HAp, (S6) Oxidized-nanocellulose/HAp, and HAp (inset figure).

After loading of HAp on the surface of luffa samples, the intensity of cellulose peaks was significantly diminished, as shown in Fig. 4 (S4-S6). The CI of composite samples was decreased to 70.2%, 66.6%, and 55.9% for S4, S5, and S6, respectively, compared to samples without HAp. The reduction in the CI of composite samples was probably due to covering of characteristic cellulose peaks by HAp. Similar results were observed when metallic nanoparticles such as AgNPs, CuONPs, and ZnONPs formed on the surface of regenerated cellulose (Shankar et al., 2018).

The inset figure (Fig. 4) shows the XRD analysis of HAp and luffa/ HAp composite samples. It worth noting that new peaks have been observed in luffa/HAp composites at 2θ = 26.1°, 32.3°, 40.1°, 47.1°, 49.9°, 52.9°, and 64.2° (Narwade et al., 2017). These new peaks indicate the formation of HAp onto the surface of different forms of luffa samples with different peak intensities, which fit with the peaks of control HAp (Niamsap et al., 2019).

3.4

3.4 Adsorption studies

3.4.1

3.4.1 Effect of sorbent type

Experiments were carried out to study the effect of prepared sorbent type (i.e., oxidized-fibers S1, cellulose S2, oxidized-nanocellulose S3, oxidized-fibers/HAp S4, cellulose/HAp S5, and oxidized-nanocellulose/HAp S6) on the removal efficiency of methylene blue (MB) and lead ions (Pb2+). For this, 0.4 g of the prepared sorbents were added to 100 mL aqueous solutions of MB (25 mg/L) and Pb2+ (100 mg/L) for 120 min at 25 °C, as shown in Fig. 5.

Removal efficiency for (a) methylene blue (MB, Co = 25 mg/L, pH = 7.3) and (b) lead ions (Pb2+, Co = 100 mg/L, pH = 5.3) by prepared sorbents (0.4 g/100 mL) at 25 °C for 120 min.
Fig. 5
Removal efficiency for (a) methylene blue (MB, Co = 25 mg/L, pH = 7.3) and (b) lead ions (Pb2+, Co = 100 mg/L, pH = 5.3) by prepared sorbents (0.4 g/100 mL) at 25 °C for 120 min.

The data shows that the removal efficiency of MB by S1 (85%), S2 (89.6%), and S4 (83.8%) sorbents is higher than S3 (61.5%), S5 (71.1%), and S6 (73.0%) (Fig. 5a). The web-shape structure of the samples probably played a significant role as a net and trapped the dye molecules compared to the samples with short and needle-shaped structures. This appeared clearly between sample S1 or S2 (in micrometer lengths) and sample S3 (192 nm), as presented in Fig. 2. Boudechiche et al. (2016) studied the effect of raw luffa powder size (63–630 μm) on the removal efficiency of MB and found that the sorption of MB increased with decreasing sample size, but the size of their samples was still in the micrometer size range (Boudechiche et al., 2016). Whereas the difference in MB removal efficiency between HAp-loaded samples (S4, S5, and S6) may be related to the presence of free functional groups that did not interact with HAp.

On the other hand, the data also showed that samples S4, S5, and S6 have the highest removal efficiency of lead ions (Pb2+) over other sorbent materials, which reached 96.9%, 97.8%, and 96.3%, respectively (Fig. 5b). While the removal efficiency of samples S1, S2, and S3 (without HAp) was 44.1%, 52.7%, and 49.5%, respectively. The higher removal % of S4, S5, and S6 can be attributed to the presence of hydroxyapatite nanoparticles (HAp) which have a great affinity to adsorb the heavy metal ions (Mohammad et al., 2017). This result indicates that the removal efficiency of luffa samples to Pb2+ ions increased 2-folds after incorporating HAp. The possible reactions between HAp and Pb2+ ions probably due to ion exchange, surface adsorption, and precipitation, suggesting dissolution of HAp then formation of Pb apatites (hydropyromorphites) with the occupation of Ca sites by Pb2+ ions (Bailliez et al., 2004).

Among all samples, sample S4 (oxidized-fibers/HAp) showed the most effective sample on the removal of MB (83.8%) and Pb2+ ions (96.9%). This may be due to its web structure and presence of active groups like hydroxyl groups, and also carboxyl groups resulted after H2O2 treatment, as well as the presence of HAp.

3.4.1.1
3.4.1.1 Effect of contact time

Samples were mixed with MB and Pb2+ ions at different times (2–120 min) to determine the adequate contact time to reach the equilibrium state. Fig. 6 displays the effect of contact time on the removal efficiency of sorbents for methylene blue (Fig. 6a) and lead ions (Fig. 6b). According to primary experiments, samples S1(oxidized-fibers), S2 (cellulose of Luffa), and S4 (oxidized-fibers/HAp) showed the best efficient sorbents in removal of MB, as shown in Fig. 5a. While samples S4 (oxidized-luffa fibers/HAp), S5 (cellulose/ HAp), and S6 (oxidized-nanocellulose/HAp) were the best in removal of Pb2+ ions (Fig. 5b). For this reason, these samples were chosen to test the effect of contact time on their removal efficiency.

The removal efficiency of sorbents of (a) methylene blue (25 mg/L), and (b) lead ions (500 mg/L), Pseudo-second-order adsorption fitting of (c) methylene blue, and (d) lead ions, using 0.4 g of sorbents as a function of contact time (2–120 min).
Fig. 6
The removal efficiency of sorbents of (a) methylene blue (25 mg/L), and (b) lead ions (500 mg/L), Pseudo-second-order adsorption fitting of (c) methylene blue, and (d) lead ions, using 0.4 g of sorbents as a function of contact time (2–120 min).

It can be seen that a quick removal within the first 5 min of the adsorption process was obtained with the removal amount of more than 87% for MB and more than 99.5% for Pb2+ ions. Then, a slower sorption step continued until reaching a state of equilibrium. This behavior possibly is due to the availability of sufficient active sites at the beginning of the reaction; after that, the active sites became occupied by MB and Lead ions. Generally, the sorption process pass first by fast adsorption capacity due to sufficient active sites, then slow adsorption rate until it reaches the equilibrium state at a specific time, followed by constant adsorption state even with increase the reaction time, which the sample could not adsorb more (Khadir et al., 2021). In removal of MB, the samples showed equilibrium time after only 5 min for samples S1 and S2. Whereas in sample S4, quick removal for MB in the initial 5 min, then slow adsorption 5–30 min, after that no change in the removal efficiency was observed after 30 min.

While in the case of Pb2+ ions, a quick removal was observed within the first 5 min, followed by the equilibrium state, which reached after 5 min, 15 min, and 60 min for samples S5, S6, and S4, respectively. It has been reported that the equilibrium time of removal MB was 120 min using luffa sponge-based (Li et al., 2018a,b) and 60 min by luffa/sodium dodecyl sulfate (Abbasi and Asgari, 2018). While the Pb2+ ions reached an equilibrium state after 600 min using luffa charcoal (Umpuch et al., 2011) and 15 min by Luffa activated carbon-doped chitosan (Gedam and Dongre, 2016). This study found that the samples reached equilibrium time within 5 min, which is relatively short compared to reported literature.

On the other side, the kinetic studies and rate constants of MB and Pb2+ ions sorption by sorbents were elucidated after applying the pseudo-first-order, pseudo-second-order, intra-particle diffusion model, and Elovich model. The kinetic model's constants and correlation coefficients of MB and Pb2+ ions were calculated and presented in Tables 2 and 3, respectively. Interestingly from the data, the kinetics of sorption reaction was perfectly fitted to the pseudo-second-order model for both methylene blue (Fig. 6c) and lead ions (Fig. 6d), this attributed to the higher correlation coefficient value (R2), and the close matching between the experimental and calculated sorption capacities from this model (Kamal et al., 2019). This may indicate that the rate of solute adsorption is directly proportional to the square of the number of vacant binding sites (Choudhary and Paul, 2018). This result is consistent with previous studies, which reported that the adsorption kinetic of luffa materials generally follows a pseudo-second-order kinetic model in removing MB and Pb2+ ions (Anastopoulos and Pashalidis, 2020; Khadir et al., 2021).

Table 2 Constants of kinetic models and isotherm models for MB removal.
Constants of kinetics models Constants of isotherms models
Pseudo-first-order Langmuir isotherm
K1 (min−1) qe(exp.) (mg/g) qe (cal.) (mg/g) R2 qmax (mg/g) b (L/mg) R2
S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4
0.08 0.02 0.039 5.45 5.83 5.45 0.27 0.15 0.77 0.831 0.697 0.963 30.86 36.2 25.2 0.1 0.097 0.072 0.978 0.971 0.986
Pseudo-second-order Freundlich isotherm
K2 (g/mg min) qe (exp.) (mg/g) qe (cal.) (mg/g) R2 N Kf R2
S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4
0.46 0.83 0.18 5.45 5.83 5.45 5.53 5.83 5.49 1 1 0.999 1.72 1.6 2 2.45 2.56 2.46 0.894 0.895 0.974
Intra-particle diffusion model Temkin isotherm
Kp(mg. g−1min1/2) C R2 kt (mol/L) B R2
S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4
0.037 0.019 0.076 5.17 5.6 4.7 0.6452 0.8265 0.889 1.5 1.4 2.5 5.27 6.24 3.54 0.933 0.936 0.886
Elovich (D–R) isotherm
β (mg. g−1min) α (mg.g−1.min−1) R2 qmax (mg/g) Β E (kJ/mol) R2
S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4 S1 S2 S4
10.3 21.3 5.65 5.6*10^21 2.7*10^50 5.6*10^21 0.8179 0.9602 0.8745 11.3 11.96 9.25 7*10^−8 7*10^−8 1*10^−7 2.67 2.67 2.23 0.621 0.612 0.553
Table 3 Constants of kinetic models and isotherm models for Pb2+ ions removal.
Constants of kinetics models Constants of isotherms models
Pseudo-first-order Langmuir isotherm
K1 (min−1) qe(exp.) (mg/g) qe (cal.) (mg/g) R2 qmax (mg/g) b (L/mg) R2
S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6
0.044 0.12 0.09 125.2 126 125.9 31.8 1.0 7.9 0.996 0.703 0.957 625 714.5 714 0.028 0.21 0.027 0.989 0.999 0.994
Pseudo-second-order Freundlich isotherm
K2 (g/mg min) qe (exp.) (mg/g) qe (cal.) (mg/g) R2 N Kf R2
S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6
0.004 0.3 0.04 125.2 126 125.9 126.58 126.6 126.6 0.999 1 1 3.78 3.78 3.74 100 153.2 107.4 0.854 0.626 0.54
Intra-particle diffusion model Temkin isotherm
Kp (mg. g−1min1/2) C R2 kt (mol/L) B R2
S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6
3.3 0.16 0.86 94.04 124.7 118.5 0.876 0.365 0.659 5.41 14.15 5.42 67.1 82.3 67.1 0.963 0.814 0.821
Elovich (D–R) isotherm
β (mg. g−1min) α (mg.g−1.min−1) R2 qmax (mg/g) β E (kJ/mol) R2
S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6 S4 S5 S6
0.122 2.12 0.43 371591 6*10^113 8.5*10^21 0.988 0.594 0.888 444.8 594.5 338.9 4*10^−7 4*10^−7 4*10^−7 1.11 1.11 1.11 0.898 0.928 0.10073

3.4.1.2
3.4.1.2 Effect of initial MB and Pb2+ ions concentrations

The initial concentration of contaminants is one of the most critical factors in adsorption efficiency. The active sites on the adsorbent should be adequate to pollutant molecules for maximum removal efficiency. In this study, the removal efficiency was tested using 0.4 g of the selected sorbents at different MB and Pb2+ ion concentrations (Fig. 7). The data presented in Fig. 7a shows that with the increase in the initial concentration of MB from 5 to 225 mg/L, the sorption efficiency decreased gradually from ∼ 100% to 51%, 59%, and 40% for S1, S2, and S4, respectively. This behavior can be attributed to the saturation of the most active sites of the sorbents by MB molecules (Aksu and Tezer, 2005). While Fig. 7b shows a steady sorption efficiency of around 100% at a concentration range of Pb2+ ions (200–1000 mg/L) for samples S4, S5, and S6. After increasing the Pb concentration from 1000 mg/L to 4000 mg/L, it was found that the sorption efficiencies gradually decreased to 63%, 75%, and 70% for S4, S5, and S6, respectively. The samples exhibited a higher sorption ability to Pb2+ than MB. This is probably attributed to the small size of lead ions (ionic radius of Pb2+ ions 1.33 Å) rather than the large dye molecules (estimated area of MB molecule130-135 Å), which allows less adsorption competition on the available sorbent sites (Aljeboree et al., 2017).

Effect of initial concentrations of (a) MB (5–225 mg/L) and (b) Pb2+ ions (200–4000 mg/L) on removal efficiency. Langmuir adsorption isotherm fitting of MB (c) and Pb2+ ions (d). (Sorbents dose = 0.4 g, contact time = 120 min).
Fig. 7
Effect of initial concentrations of (a) MB (5–225 mg/L) and (b) Pb2+ ions (200–4000 mg/L) on removal efficiency. Langmuir adsorption isotherm fitting of MB (c) and Pb2+ ions (d). (Sorbents dose = 0.4 g, contact time = 120 min).

On the other hand, to illustrate how the MB and Pb2+ ions interact with the sorbents, Langmuir, Freundlich, Temkin, and Dubinin–Radushkevich (D–R) isotherm models were studied. The constants and correlation coefficients calculated from the isotherm models were listed in Table 2 and Table 3. Remarkably from the data and correlation coefficients, See Fig. 7 (c and d), the sorption of MB and Pb2+ ions were fitted with the Langmuir model, which assumes monolayer adsorption of the MB and Pb2+ ions onto active sites of the surface of sorbent (Gupta and Babu, 2009). The value of n greater than 1 in Freundlich and E < 8 in (D-R) model demonstrating that the adsorption is a physical process (Kumar et al., 2014). Moreover, the separation factor (RL) values were found to be in the range from 0 to 1, which proposing favorable adsorption between sorbents and sorbates.

The maximum MB and Pb2+ ions sorption capacities (qmax) of the selected sorbents calculated from the Langmuir model were compared with different sorbents in previous studies, as presented in Table 4 and Table 5. The data indicated that the prepared sorbents have a good ability to remove MB and Pb2+ ions from the solution. Also, the data showed that the luffa/HAp composite showed superior adsorption capacity, especially with Pb2+ ions compared to reported results.

Table 4 Comparison of adsorption capacity of methylene blue with several sorbents reported in the literature.
Sorbents Adsorption capacity of MB (mg/g) Contact time Adsorbent dosage (g/L) pH Temperature (°C) References
Luffa treated with sodium dodecyl sulfate 4.0 60 min 5.0 6.0 25 (Abbasi and Asgari, 2018)
Neem leaf powder 8.7 5.0 h 10.0 7.0 27 (Bhattacharya and Sharma, 2005)
Banana peel
Orange peel
20.8
18.6
24 h 1.0 7.2 30 (Annadurai et al., 2002)
H2SO4 cross-linked magnetic chitosan 20.4 25 min 10.0 6–8 NA (Rahmi and Mustafa, 2019)
Carbon-TiO2 composite 25.7 180 min 250 6.0 25 (Simonetti et al., 2016)
Luffa fibers treated with 0.1 M NaOH 49.0 120 h 0.8 NA 20 (Demir et al., 2008)
Luffa fibers 49.4 20 min 3.0 5.8 20 (Boudechiche et al., 2016)
Luffa/graphene oxide 63.3 250 min NA 7.0 25 (Li et al., 2016)
Carbonized Luffa fibers under argon atmosphere at 800 °C 210.9 120 min 0.05 NA 15 (Li et al., 2018a,b)
Oxidized-fibers (S1) 30.8 120 min 4.0 7.3 25 Present work
Cellulose (S2) 36.2 120 min 4.0 7.3 25 Present work
Oxidized-fibers/HAp (S4) 25.2 120 min 4.0 7.3 25 Present work

NA: not available data.

Table 5 Comparison of adsorption capacity of lead ions (Pb2+) with several sorbents reported in the literature.
Sorbents Adsorption capacity of Pb2+ (mg/g) Contact time Adsorbent dosage (g/L) pH Temperature(°C) References
Luffa fibers 4.6 30 min 10 4.0 40 (Saueprasea et al., 2010)
Luffa fibers treated with NaOH 13.4 30 min 10 4.0 40 (Saueprasea et al., 2010)
Luffa fibers treated with 4% NaOH 24.9 24 h 5.0 5.0 21 (Emene and Edyvean, 2019)
Cellulose acetate membrane 43.9 6 h 0.375 NA NA (Aquino et al., 2018)
Luffa fibers charcoal 51.0 12 h 1.0 5.0 25 (Umpuch et al., 2011)
Cellulose acetate/ polycaprolactone (10%) membrane 70.5 6 h 0.375 NA NA (Aquino et al., 2018)
Luffa cylindrica sponge 75.8 5 h 2.0 6.0 25 (Adewuyi and Pereira, 2017)
Raw clinoptilolite 80.9 4 h 2.5 4.5 22 (Günay et al., 2007)
Activated carbon from luffa cylindrica doped chitosan 112 20 min 0.1 5.0 27 (Gedam and Dongre, 2016)
Pretreated clinoptilolite 122.4 4 h 2.5 4.5 22 (Günay et al., 2007)
Nanohydroxyapatite 192.3 90 min 0.5 5.6 25 (Mohammad et al., 2017)
Oxidized fibers/HAp (S4) 625.0 120 min 4.0 5.3 25 Present work
Cellulose/HAp (S5) 714.5 120 min 4.0 5.3 25 Present work
Oxidized nanocellulose/HAp (S6) 714.5 120 min 4.0 5.3 25 Present work

NA: not available data.

4

4 Conclusion

Three diverse luffa forms in shape, size, and chemical structure have been obtained by using different isolation strategies. The effect of luffa properties and the presence or absence of hydroxyapatite (HAp) on the removal efficiency of methylene blue (MB) and lead ions (Pb2+) from aqueous solutions have been studied. The sorbents with long fibrils and web-like structures effectively removed MB compared to samples with short and needle-shaped structures. Also, luffa samples loaded with HAp were more effective in removing both Pb2+ and MB than samples without HAp. The maximum adsorption capacity was 25–36 mg/g for MB and 625–714.5 mg/g for lead ions, depending on sorbent type. Among all samples, oxidized-luffa fibers/HAp composite showed the most effective composite in removing both MB and Pb2+ ions. Also, the results showed that more than 85% of MB and 95% of lead ions were quickly removed within the first 5 min of the adsorption process.

Acknowledgments

This work was supported by Nanotechnology and Advanced Materials Central Lab, Regional Center for Food & Feed, Agricultural Research Center; and Taif University Researchers Supporting Project number (TURSP-2020/65), Taif University, Taif, Saudi Arabia for financial support and research facilities.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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