Chemistry Africa https://doi.org/10.1007/s42250-024-01015-z REVIEW A review on Adsorption of Textile Dyes Onto an Unconventional Biosorbent: Marine Waste of Posidonia Oceanica Ghazza Masmoudi1 · Hatem Dhaouadi1 Received: 4 April 2024 / Accepted: 9 June 2024 © The Tunisian Chemical Society and Springer Nature Switzerland AG 2024 Abstract Synthetic dye removal from textile wastewater is still a major occupation for water treatment specialists due to the high pollutant load and poor biodegradability of these materials. Among several wastewater treatment methods, adsorption has been shown to be an effective technique that can lead to complete colour removal from dyeing effluents. However, the relatively excessive cost of conventional adsorbents, particularly activated carbon, the complexity of its manufacture and the high emissions of ­CO2, syngas and pyrolytic oils during pyrolysis, impose considerable limitations on its use, especially in the current context of climate change. Therefore, a new generation of adsorbents has been developed based on the use of natural, renewable, local, abundant, and low-cost materials. In this context, Posidonia oceanica, an aquatic plant from the Mediterranean basin that is abundant as marine waste on beach shores, appeared to be an efficient biosorbent for dye removal. Several scientific publications dealing with Posidonia oceanica have studied its use as an adsorbent support in different forms: as a raw fibre or powder, chemically or physically treated adsorbent, cellulose nanofiber or nanocrystal and precursor to activated carbon. Related studies have shown that all forms of Posidonia oceanica significantly adsorb various pollutants, particularly heavy metals, and textile dyes even when compared to other biosorbents. In this review, the physical and chemical characteristics of different forms of Posidonia oceanica as well as their use as biosorbents for textile dye elimination in batch or dynamic column mode were described, as reported in related scientific papers. Keywords Adsorption · Dye · Waste · Posidonia oceanica 1 Introduction Synthetic dyes are widely used in several industries, like textile, tannery, paint and printing etc., despite their harmful effects on fauna and flora if discharged into the environment [1]. The textile industry is considered among the largest consumers of dyes and producers of colored effluents [2]. Notably, the annual production of dyes worldwide exceeds 700,000 tons, and the textile industry consumes almost three-quarters of this amount and releases approximately 100 tons of dye per year, which is discharged into the environment [3]. Synthetic dyes dumping causes coloration of receiving water bodies, which decreases the passage of sunlight, prevents photosynthesis and inhibits plant growth * Ghazza Masmoudi ghazza.massmoudi@fsm.u-monastir.tn 1 Research Laboratory of Environmental Chemistry and Clean Processes, Faculty of Sciences of Monastir, University of Monastir, Monastir, Tunisia [4]. The dyes metabolites are more toxic than the dye molecules and their harmful effects appear after degradation of the initial molecule into oxidation byproducts [1]. It have carcinogenic, mutagenic and teratogenic properties that have toxic impacts on plants, animals and humans [5]. Considering environmental constraints on the one hand and increasingly stringent regulations on wastewater discharge on the other hand, the treatment of textile wastewater is a major concern for manufacturers and environmental researchers and organizations [6]. Conventional treatment methods such as biological processes and coagulation/flocculation applied to coloured effluents have been shown to be not completely efficient for dye removal because of the strong fluctuations in pollutant concentrations and the weak biodegradability of dyes and chemical additives [7]. Moreover, they show some drawback such as such as being pH dependent, expensive, secondary sludge disposal problem and high residence time [8]. Other technologies, such as membrane filtration and chemical oxidation, have shown good efficiency in the removal of dyes; Vol.:(0123456789) Chemistry Africa however, their high maintenance costs and high energy demands present considerable limitations [9]. Among the applied processes, adsorption is considered the most efficient technology for color removal [2]. It has been widely used due to its simple design and operation [10]. Activated carbon is the most commonly used adsorbent due to its high efficiency in color removal. It is prepared from agricultural waste, livestock or industrial byproducts [11] by the pyrolysis and activation of raw material, which results in a porous morphology with a very large surface area that can reach 2000 ­m2.g−1 [9]. However, given the complexity of activated carbon preparation and regeneration, researchers are looking for new materials that can reduce manufacturing and operating costs and provide high adsorption capacities. Thus, a new generation of adsorbents based on natural, lowcost and abundant materials has been developed. The use of agricultural waste as an adsorbent material to remove dyes from wastewater has recently become increasingly popular because it is less expensive, biodegradable, easily available and efficient [12]. Several kinds of raw biomass have been studied, such as plant stems and bark [13], orange peel [14], rice husk [15], coconut [16], bamboo [17], and sugarcane [18], as well as microbiological materials such as algae, fungi and bacteria [19–21]. Many biosorption experiments on natural biomass have shown that it can be considered an efficient alternative for the removal of several pollutants from water, especially dyes and heavy metals [3, 17, 20–22]. Biomass derivatives have also been studied as adsorbents, and particular attention has been given to biomass nanoextracts since nanotechnology has made a quantum leap in all areas, especially in wastewater treatment, in which nanoparticles are used as high-quality separation and reactive media in terms of reactivity and performance [23]. In the same context, cellulose derived from biomass has been reported to effectively adsorb several pollutants, such as synthetic dyes and heavy metals [24–28]. Posidonia oceanica (P. oceanica) is a Sea grass abundant on the Mediterranean coasts as leaves or balls (Fig. 1). It occurs in shallow and coasts and it plays an important role in the ecology of the Mediterranean basin and its protection from sea erosion [29, 30]. P. oceanica has been used as an indicator of the degree of marine ecosystem pollution for several decades [22, 31]. It was investigated as a source of lignocellulosic fibres for pulp and paper production [32], as biostimulant to enhance plant growth, photosynthesis and crop quality [33],and as a biosorbent for pollutant removal. It was found to be efficient in dye removal, with an elimination rate that can reach 97% [34–36]. P. oceanica showed also high performance in heavy metal elimination since it can remove 97%, 98%, 88%, 85% and 70% of Pb(II), Cu(II), Ni(II), Cd(II) and Zn(II), respectively [37]. It had also a good retention of antibiotics like oxytetracycline [38]. P. oceanica can be used in different forms: as a raw material [39], chemically modified [40] or transformed into activated carbon [41], cellulose [35], microcrystalline cellulose [42], cellulose nanofibers (CNFs) [43] or nanocrystals (CNCs) [44]. This review is a synthesis of research related to the removal of several types of textile dyes by adsorption onto multiscale P. oceanica derivatives, including raw materials, cellulose extracts (cellulose nanocrystals and cellulose nanofibrils) and activated carbon. This investigation begin with studying the adsorbent materials characteristics and composition. Then, the effect of the material type and the application method (in batch or column) on several textile Fig.1 Balls a and plant b of Posidonia oceanica Leaves Rhizome (a) (b) Chemistry Africa dyes removal was examined by comparing the results with those using other biomasses. 2 Characterization of P. oceanica‑Based Biosorbents The use of an adsorbent medium must begin with a good understanding of its physical and chemical properties. This makes understanding and interpretation of the phenomena occurring during the adsorption process easier. The characteristics of P. oceanica derivatives have been well represented by numerous research reviews. 2.1 Raw P. oceanica The physical and chemical characterization of the leaves and balls of P. oceanica has been the subject of several studies. The physical characterization realized by Cocozza et al. (2011) [45] of raw P. oceanica leaves collected from the Italian coast revealed that the bulk density was 66.1 kg. ­m−3 against a particle density of 1595 kg.m−3, the total pore space was 95.9%, and the air and water-holding capacities were 43.2% and 52.6%, respectively. The low bulk density compared to the particle density and the high total pore space percentage confirm that the P. oceanica material is a porous media. Table 1 regroups the results corresponding to the chemical composition of the P. oceanica leaves and balls from the literature. P. oceanica balls and leaves are doted by high amounts of cellulosic material for both hemicellulose (21.8% for balls and between 23.3% and 35% for leaves) and α-cellulose (40% for balls and between 24% and 32.5% for leaves). Lignin content is also relatively high for P. oceanica balls and leaves compared to other agricultural residues, such as wheat straw (11–21%) [46], olive wood (15.64%) [47] and banana pseudosteams (12.7%) [48]. The ash content provides information on the percentage of mineral matter in the sample, and the low percentages of ash indicate that the material is mainly composed of organic matter, which Table 1 Chemical composition of P. oceanica balls and leaves P.O type/ country Composition (%) Reference Hemicellulose α-cellulose Lignin Ash Balls/Tunisia Leaves/Tunisia Leaves/Italy Leaves/Algeria Leaves/Egypt 21.8 25.7 35 23.3 22.52 40 31.4 24 32.5 35.12 29.8 24.7 18 28.2 18.73 12 10.5 13 6.4 12.03 [49] [50] [51] [42] [52] is likely of cellulosic origin. The differences between the ash contents listed in the table are therefore likely related to climate conditions and the chemical composition of the soil since the P. oceanica samples were obtained from different countries [43]. The detailed ash composition was determined by several investigations, and the results are summarized in Table 2. Khiari et al. (2010) [49] reported that silica is the predominant inorganic material in P. oceanica ash. However, this finding could be due to sand contamination of the sample. In addition, all the samples had relatively high salt concentrations (Cl, Na, K), which is expected considering the marine environment in which the plant evolved. The relatively high metal contents, particularly Ca, Fe and Mg, can be attributed to the intrinsic properties of the plant. Some elemental contents in rhizomes were higher than those in leaves of the Egyptian P. oceanica such as Ca, Cu, Mg and Zn, while Fe was lower in the rhizome than leaves. 2.2 P. oceanica Cellulose Extracts The analysis of the composition of the raw P. oceanica showed that it is a cellulosic material that can be used as a raw material for the production of cellulose and its derivatives [55]. In this regard, several studies on P. oceanica extracts have investigated their ability to adsorb pollutants, such as extracted cellulose [26, 35], cellulose nanofibers [56] and cellulose nanocrystals [50, 51, 57]. Table 2 P. oceanica ash elemental composition Reference [49] [45] [52] [53] [54] Country Tunisia Italy Egypt Spain Egypt Unit %w/w mg.kg-1 mg.kg-1 mg.kg-1 mg.kg-1 Parameter Ca C1 Cr Cu Fe Hg K Mg Na Ni P Pb S Si Zn 9.12 0.72 <100ppm 3.78 2.04 3.89 2.49 0.12 1.92 17.7 - 13915 49630 7 49.7 7455 0.07 4685 10989 36094 13.5 16.8 59.5 10850 10 875 4800 10 30.9 0.0068 0.0048 2.24 0.09 10.7 1.9 0.023 0.025 0.063 19172.49 35.6 85.44 372.49 1560.19 7544.34 45.95 P. oceanica Balls Leaves Leaves Leaves Rhizome Chemistry Africa Cellulosic fibres have amorphous and crystalline structures with a high degree of organization. The crystallinity rate depends on the origin of the material; cotton, flax, ramie and banana have a high degree of crystallinity (65–70%), but the crystallinity of regenerated cellulose is only 35–40% [58]. To describe several types of cellulose nanoparticles based on their dimensions, the Technical Association of the Pulp and Paper established a standardized heuristic Industry (TAPPI) for nanocellulose classification regarding fibre morphology cut-offs (Fig. 2). Cellulose nanofibers (NFCs) are obtained by delamination of the fibres by mechanical treatment at high pressure and/or enzymatic or chemical treatment. However, cellulose nanocrystals (CNCs) are obtained by acid hydrolysis [50]. Different analyses have been reported to characterize P. oceanica cellulosic derivatives. The physicochemical characterization of the extracted cellulose from P. oceanica can be performed by Boehm titration to identify the acidic functional groups and spectroscopic analysis; XRD (X-Ray diffraction) to determine the crystallographic structure of the material, FTIR (Fourrier-Transform infra-red) used to monitor the vibrations of the functional groups which characterize a molecular structure and XPS ( X-ray photoelectron spectroscopy) to identify the overall electronic structure of a material or its surface. As reported by Douissa et al. (2013) [35], the characterization results of cellulosic fibres extracted from P. oceanica showed that carboxylic groups presented the most acidic functional groups, followed by phenolic and lactonic groups. This result was validated by the FT-IR spectrum, which presented a strong absorption band at 3430 ­cm−1 due to the stretching of O–H groups and another band at 2891 ­cm−1 due to C-H stretching. Moreover, the elemental surface composition determined by XPS showed that the extracted fibres contained not only pure cellulose but also lignin and hemicellulose. These results were confirmed by the presence of some nitrogen, chlorine and Fig. 2 Proposed standard terminology for cellulose nanomaterials from TAPPI WI 3021 [59] calcium atoms. In the same context, Bettaib et al. (2015) [56] and Yang et al. (2014) [28] performed research on cellulose nanofibers extracted from P. oceanica balls and leaves and demonstrated that the obtained cellulose nanofibers are mainly composed of holocellulose (approximately 92% for balls and 95% for leaves) and α-cellulose (approximately 72% for balls and 79% for leaves), with a low percentage of ash (approximately 3% for balls and 7% for leaves) and lignin (approximately 0.3% for balls and 1.4% for leaves). Microcrystalline cellulose (MCC) and cellulose nanocrystals (CNCs) extracted from P. oceanica have robust potential in wastewater treatment due to their surface characteristics [24]. Furthermore, the microscopic and macroscopic characteristics of the extracted material surface were studied in several works [35, 50, 51, 57]. X-ray diffraction analysis was carried out to compare the crystallinity of the different supports by measuring the crystallinity index, which is a quantitative indicator of the crystallinity and is defined as the ratio of the crystalline peaks to the crystalline + amorphous ones, and the aspect ratio, which is defined as the ratio of the primary size of the particle (length) to the secondary size (width). Table 3 summarizes the geometrical characteristics of the P. oceanica derivatives according to some literature findings. Bettaieb et al. (2015) [50], Gonzalez et al. (2019) [51] and Fortunati et al. (2015) [57] investigated the morphology of CNCs extracted from P. oceanica with lengths of approximately 180–586 nm, widths of approximately 6.8 − 15 nm and average diameters of approximately 5–8 nm, with an aspect ratio of approximately 35–76%. On the other hand, the crystallinity index values presented in the table below showed that the P. oceanica derivatives presented a highly crystalline structure due to the presence of crystalline cellulosic components. Therefore, the measured dimensions and the morphological view of the extracted support from P. oceanica plants (leaves and/or balls) can be compared to those obtained from other plant fibres, as shown in Table 4. Chemistry Africa Table 3 Geometrical characteristics of the extracted cellulosic support Cellulosic support Width (nm) Length (nm) Diameter (nm) Aspect ratio crystallinity index Xc(%) Reference Extracted cellulose nanocrystals (CNC) from Commercial microcrystalline cellulose Extracted cellulose nanocrystals (CNC) from P.oceanica Extracted cellulose nanocrystals (CNC) from P.oceanica Extracted cellulose nanocrystals (CNC) from P.oceanica Extracted microcrystalline cellulose (MCC) from P.oceanica 15 − 20 200 − 250 15–21 - 88–91.5 [24] 10–15 6.8–8 n.d n.d 488–586 276- 520 180 52. ­103 8 5 8. ­103 35–58 35–76 36.7 - 50–77 60–64 74% [51] [50] [57] [42] Table 4 Geometrical characteristics of some cellulose CNCs [50] Starting materi- Width (nm) Length (nm) Aspect ratio Reference als Rise husk Cotton Cotton linter Bagasse Kenaf bast Flax Alfa Eucalyptus wood pulp Ramie Pea hull Palm tree Wheat straw Bleached softwoof Kraft pulp Sisal Sugarcane bagasse Tunicin 15–20 14.6 14.6 ± 3.9 4–10 12 10–30 10 6 171.6 171.6 ± 48.2 84–102 158 100–500 200 145 10–15 1.7 11–12 13 13 15 20 24 [60] [61] [62] [63] [64] [25] [65] [66] 7 7–12 6.1 5 5 200 240–400 260 225 180–280 28 34 43 45 33–47 [67] [68] [69] [70] [71] 3.5 4 2–6 180 250 200–310 50 60 64 [72] [73] [74] 100–1000 10–20 50–200 [75] The collected values are typical for cellulose nanocrystals, regardless of the cellulose source and the growth conditions. However, the aspect ratio observed for CNCs from P. oceanica was found to be greater than that of CNCs extracted from the other mentioned annual plants. The scanning electron microscopy (SEM) micrograph of the cellulose extracted from P. oceanica dead leaves (Fig. 3) obtained by Ben Douissa et al. (2013) [35] confirmed the porous structure of the obtained materials, in which considerable numbers of heterogeneous layers and pores were detected, suggesting that the cellulose extracted from P. oceanica seems to be efficient for pollutant adsorption. Figure 4 shows a transmission electron microscopy micrograph of well-dispersed elongated rod-like P. oceanica nanoparticles obtained from balls and leaves by Bettaieb et al. (2015) [50]. These authors reported that the CNCs obtained from Fig. 3 SEM image of P. oceanica-extracted cellulose [35] © P. oceanica leaves holocellulose (WHPL) had average diameter of 6.8 nm and average length of 520 nm. The CNCs obtained from P. oceanica leaves cellulose (WCPL) had average diameter of 7 nm and average length of 338 nm. The aspect ratios were approximately 48.3 and 76.5 for WHPL and WCPL, respectively. In the case of P. oceanica balls, CNCs extracted from holocellulose (WHPB) had average diameter of 8.1 nm and average length of 290 nm. While CNCs extracted from P. oceanica balls cellulose (WCPB) had average diameter of 8 nm and average length of 276 nm. The corresponding aspect ratios were approximately 35.8 and 34.6 for WHPB and WCPB, respectively. 2.3 Activated Carbon of P. oceanica Activated carbon is one of the most commonly used adsorbents for water purification due to its high porosity and adsorption capacity [76]. Basically, activated carbon is prepared from different biomass types using two different processes, physical and chemical activation, to increase the Chemistry Africa Fig. 4 Transmission electron micrographs of diluted CNCs suspensions obtained from the leaves of holocellulose (a) and cellulose (b) and the balls of holocellulose (c) and cellulose (d) [50] © porosity of the precursor. On the one hand, physical activation involves carbonization of the carbonaceous precursor in the first step, followed by activation of the obtained char in the presence of activating agents such as steam or carbon dioxide in the second step. During this process, a large reduction in the internal carbon mass occurs, which results in a well-developed porous structure. On the other hand, chemical activation involves the carbonization of the precursor in the presence of chemical agents that are used as dehydrating agents that influence pyrolytic decomposition and inhibit the formation of tar, thus enhancing the yield of carbon [2, 77]. The application of commercial activated carbon in industrial wastewater treatment might be limited due to its high cost. Different studies have been carried out to produce cheap and efficient activated carbon from abundant biomass and renewable sources, such as sunflower oil cake [78], bean pods [79], cotton stalks [80, 81], macadamia nut shells [82], bituminous coal [83], coffee ground [84, 85], coal [86], Chinese fir sawdust [87] and P. oceanic leaves [41, 88–90]. According to previous studies on the preparation of biomass-based activated carbon (Table 5), the activated carbon produced from P. oceanica leaves exhibited a high specific surface area and good structural characteristics compared to the properties of activated carbons derived from other lowcost materials, either physically or chemically activated. However, the chemical activation of P. oceanica-based activated carbon seems to improve the performance of activated carbon since it has a better BET surface area and total, micropore and mesopore volumes. The use of biochar has also attracted increasing interest since it results from the heating of biomass in a limited oxygen environment without undergoing the activation step and is composed of amorphous carbon with a highly functionalized surface, which makes it reactive to various compounds. Cataldo et al. (2018) [91] prepared biochar from P. oceanica leaves and studied its raw and Chemistry Africa Table 5 Comparison of textural characteristics of some biomassbased activated carbons [41] Activated carbon type SBET ­(m2 ­g−1) Vmicro ­(cm3 ­g−1) Vmeso ­(cm3 ­g−1) Vtotal ­(cm3 ­g−1) Reference Sunflower oil cake Bean pods Cotton stalk Cotton stalk Macadamia nut-shell Bituminous coal Commercial AC Coffee ground Coal Coffee ground Chinese firsawdust Commercial AC P. oceanica leaves Physical activation Chemical activation 240 258 594 794 844 857 924 925 970 1021 1079 1118 0.111 0.080 0.280 0.083 0.391 0.390 0.426 0.046 0.481 0.350 0.502 0.415 0.005 0.013 0.030 0.094 0.041 0.666 0.180 0.950 0.050 0.203 0.116 0.206 0.381 0.630 0.485 0.450 0.466 0.718 1.300 0.558 0.618 [78] [79] [80] [81] [82] [83] [82] [84] [86] [85] [87] [92] 615 1483 0.021 0.494 0.118 0.456 0.160 1.022 [88] [41] chemically activated forms and reported that the activation step led to changes in the superficial area, pore volume and average pore width. In particular, the superficial area and pore volume increase from 4.664 to 20.936 ­m 2.g −1 and from 0.015 to 0.018 c­ m 3.g −1, respectively. Table 6 Regrouped data related to the structural characteristics of biomass-based activated carbon and P. oceanica-based activated carbon. The collected data include the BET surface area, total pore volume, micropore volume (d < 2 nm), mesopore volume (2 nm < d < 50 nm), micropore diameter, mesopore diameter and BJH average pore width and volume. On the one hand, it can be noticed that P. oceanica can be transformed to a high value-added material since it can effectively be used as a precursor for the preparation of high-quality activated carbon. On the other hand, activated carbon made directly from raw P. oceanica had better textural characteristics than other activated carbons especially when it is chemically activated. 2.4 Treated P. oceanica The adsorption properties of materials can be improved by applying chemical, physical, or thermal treatments to modify the adsorbent structure. Several studies have shown that the modification of the P. oceanica structure improved its performance. For instance, Meseguer et al. (2016) [53] reported that chemically modified P. oceanica using HCl and formaldehyde can increase the removal of cadmium present in a 20 ppm solution up to 97% when only 80% of the raw P. oceanica is eliminated. Donut et al. (2017) [93] have also studied the enhancement of the tetracycline adsorption capacity of chemically pretreated dead leaves of P. oceanica. In this study, the authors used the method described by Cuny et al. (1995) [94] to chemically modify the adsorbing support to eliminate unbound phenolic compounds by submerging dead P. oceanica leaves in ethanol (50% (v/v)) at 40 °C for 3 h. After washing with pure water, the pretreated P. oceanica residues were dried at room Table 6 Textural parameters of P. oceanica-based biochar and activated carbon P. oceanica-based adsorbent SBET (m2.g−1) Vpore (cm3.g−1) Vmicro (cm3.g−1) Vmes (cm3.g−1) Biochar Activated biochar Activated carbon 4.664 20.936 615 1148 602.46 1483 0.015 0.0174 0.16 0.74 1.022 0.021 0.704 0.494 0.118 0.456 Dmicro (nm) 0.6/1.2 - Dmes (nm) DBJH (nm) VBJH (cm3.g−1) Reference 2.1/5.5 - 13.09 4.715 0.068 [91] [91] [88] [89] [90] [41] Chemistry Africa temperature. The authors concluded that the unbound phenolic compounds in the dead P. oceanica leaves limited their adsorption capacities. Krika et al. (2021) [95] studied the effect of the basic modification of P. oceanica using NaOH-surface treatment on pollutant biosorption performance. An experimental study of the adsorption of amoxillin from wastewater by P. oceanica and NaOH-P. oceanica showed that NaOH modification significantly increased the adsorption capacity, and the modified material presented a greater adsorption capacity than that obtained for raw P. oceanica and several materials from the literature, such as chitosan grains [96], chemical-activated carbon from olive stones [97] and activated carbon nanoparticles prepared from vine wood [98]. Photiou et al. (2021) [99] studied the effect of thermal treatment of P. oceanica leaves on pollutant removal and material surface characteristics. In this regard, the phosphate adsorption capacity of thermally treated sea grass residues of P. oceanica was studied and compared to that of other thermally treated and pyrolyzed biowastes, such as fish scales, orange peels, coffee residues, and biochar produced from vineyard prunings and from olive kernels. The biowastes were thermally treated at 500 °C-550°C for 1 h-2 h or pyrolyzed (under nitrogen stream) at 550 °C for 3 min. The obtained results are listed in Table 7, which shows that the phosphate adsorption capacities of the thermally treated P. oceanica were greater than those of the other bioresources subjected to the same treatment (99%). In fact, the support structure of the functional surface groups and pore volume changed after thermal activation due to the reduction in the carbon amount, the partial decomposition of the organic matter and the damage to the physical structure by decreasing the number of oxygen surface functional groups on the material. These results were confirmed by SEM images of P. oceanica seagrass before and after thermal treatment, as shown in Fig. 5, and the elemental composition of seagrass specimens obtained through energy dispersive X-ray spectroscopy, as shown in Table 8. Table 7 Percent removal of phosphate from synthetic aqueous solutions using different biowastes. The initial phosphate concentration in all the samples was 100 mg/L [99] 3 Adsorption of textile dyes on P. oceanica 3.1 Raw P. oceanica 3.1.1 Batch adsorption P. oceanica first attracted attention as a porous medium with noticeably low bulk density [45]. Studies of its adsorbent capacity should begin with tests in batch mode. Batch adsorption experiments are generally conducted in flasks with constant solution volume by varying the initial dye concentration, initial pH, temperature, or adsorbent dosage. Samples are taken at well-defined time intervals; the adsorbent is separated from the solution by filtration or by centrifugation. The concentration of dye was then analysed using a UV spectrophotometer by monitoring the absorbance at the wavelength of the maximum absorbance of the selected dye. The selection of the correct pH is a key factor that allows the optimization of adsorption performance. The influence of the solution pH on the dye uptake can be explained on the basis of the pH zero point charge (pHzpc) called also isoelectric point of the adsorbent, it is the value of the pH necessary to affect a net zero charge on a solid surface in the absence of specific sorption. This is a convenient index of a surface when the latter becomes either positively or negatively charged as a function of pH [100, 101]. Solution pH affects adsorption by regulating the adsorbents surface charge as well as the degree of ionization of solution components (acidic and basic compounds). In general, cation adsorption on any adsorbent will be favorable at pH > pHzpc, in this case, the surface of the adsorbent gets negatively charged and favours uptake of cationic dyes due to increased electrostatic force of attraction. At lower pH (pH < pHzpc), adsorbent surface is positively charged, cationic dye molecules will be repulsed by the adsorbent surface causing a decrease in dye uptake. The temperature is also a significant parameter for the adsorption, it can displace the equilibrium of the Biowastes Pretreatment method Adsorbent dose [g.L−1] P. removal [%] Fish scales Coffee residues Coffee residues Orange peels Olive kernels Vineyard prunings P. oceanica P. oceanica Thermally treated at 550 °C for 2 h Thermally treated at 550 °C for 2 h Thermally treated at 550 °C for 2 h Pyrolysis at 550 °C for 3 min Pyrolysis at 550 °C for 3 min Pyrolysis at 550 °C for 3 min Thermally treated at 550 °C for 2 h 30 30 20 30 20 20 20 20 5.1 ± 0.3 0.0 ± 0.0 38.9 ± 3.7 13.2 ± 2.0 15.4 ± 1.1 15.4 ± 3.9 97.7 ± 0.4 99.1 ± 0.8 Chemistry Africa Fig. 5 Scanning electron microscopy images of untreated (a-c) and thermally treated (d-f) P. oceanica seagrass [99] © Table 8 Elemental composition percentage of seagrass specimens obtained through energy dispersive X-ray spectroscopy. SG: Seagrass; SG-TT: Thermally treated seagrass; SG-TT/P: Thermally treated seagrass after phosphate adsorption [99] SG SG-TT SG-TT/P C O Na Mg Al Si S Cl K Ca P Fe 55.64 22.45 20.48 28.68 34.41 43.06 2.79 8.23 5.22 2.87 11.86 5.99 0.46 0.31 0.38 0.82 0.46 2.69 0.52 1.06 0.26 6.72 14.95 2.01 0.35 1.16 3.36 1.15 5.01 5.64 0.00 0.17 10.92 0.00 0.00 0.32 adsorption capacity. The decrease of adsorption capacity with increasing temperature indicates the exothermic nature of the adsorption. Similarly, the increase in adsorption capacity with increasing temperature reveals an endothermic character [2, 102]. The dye concentration is closely linked to the adsorbent dose. It is therefore necessary to ensure that the applied doses don’t reach the maximum adsorption capacity. Batch experiments on Raw P. oceanica indicated that it was able to remove between 73 and 98% of methylene blue [34–36, 103], approximately 90% of Alpacide Grey metalcomplex dye [104], 90% of acid yellow 59 [105], 75% of Astrazon red [39] and approximately 96% of crystal violet [103]. Several dyes, particularly methylene blue (MB), have been tested because of their widespread use in several fields, particularly in textile dyeing, and because of their relatively high toxicity in comparison to other dyes [106, 107]. MB is a basic cationic dye often applied in dyeing baths under acidic conditions, and it is used in inks, medicine, modified nylon, modified polyester, paper, polyacrylonitrile, polyester, silk, tannin-mordanted cotton and wool [9]. Table 9 shows the results from the literature related to the adsorption of the MB dye on the two types of P. oceanica (balls and leaves) and those of adsorbents derived from other materials. It is first of all remarkable that the adsorbent power of P. oceanica leaves is much greater than that of its fibrous basal part, with a maximum adsorption capacity of 357 mg.g−1 against 5.56 mg.g−1. A comparison of MB adsorption on P. oceanica leaves with that on rice husk, C. racemosa var. cylindracea and Neem leaf powder revealed that P. oceanica leaves had greater dye uptake than did rice husk, C. racemosa var. cylindracea and Neem leaf powder, according to the results obtained by Allouche et Yassaa (2018) [36]. The elimination of several types of dyes by raw P. oceanica has been studied in several research papers. Table 10 shows the experimental results of the adsorption of various dyes onto raw P. oceanica. The elimination rates of all the dyes studied are greater than 90%, which confirms the Chemistry Africa Table 9 Comparison of the maximum adsorption capacities of methylene blue dye onto P. oceanica and other materials adsorbent PO type/origin Qmax (mg.g−1) T(°C) pH Reference P. oceanica Leaves/Algeria Fibrous basal part of leaves/Tunisia Leaves/Libya - 357 5.56 20 30 5 6 [36] [34] 27.78 50.6 40.58 5.23 8.76 25 30 32 18 27 7 8 8 7 2–10 [103] [16] [15] [112] [113] Coconuts shell Rice husk C. racemosa var. cylindracea Neem leaves powder (Azadirachta indica) Table 10 Adsorption parameters for different dyes onto raw P. oceanica Dye Dye type P. oceanica type R(%) T(°C) pH Qmax (mg.g−1) Reference Alpacide Grey Astrazon red Basic blue 41 Basic blue 41 Crystal violet Direct red 75 Methyl violet Reactive red 228 Yellow 59 Metal-complex Basic Basic Basic Basic Direct Basic Reactive Acid Leaves sheath fibres/Tunisia Leaves/Turkey Leaves/Algeria Balls/Tunisia Leaves/Libya Leaves/Turkey Leaves/Tunisia Balls/Tunisia 91% 97.6% 93.13% 96.02% 98.1% 90.3% 30 25 30 25 30 20 25 23 2 6.5 8–11 4 7 2 6 5 2–3 14.51 68.966 868.36 205 22.93 44.5 72.99 5.74 76.9 [104] [39] [114] [109] [103] [40] [112] [115] [105] significant adsorption ability of the raw material. The maximum dye uptake values vary depending on both the nature of the adsorbate and the nature of the adsorbent. Indeed, the adsorption of basic blue 41 on the leaves and balls of P. oceanica shows that the maximum adsorption capacity is greater for the leaves than for the balls, which confirms the results obtained for methylene blue adsorption. According to Jindarom et al. (2007) [108], the adsorption capacities of yellow 59 and basic blue 41 on biochar prepared from sewage sludge were 116 mg.g−1 and 588 mg. g−1, respectively. Adsorption of the same dyes on raw P. oceanica balls led to maximum adsorption capacities of 76.9 mg.g−1 [105] and 205 mg.g−1[109], respectively. Considering the morphological differences between biochar and raw P. oceanica balls, it can be concluded that the values found with the raw material are acceptable. 3.1.2 Dynamic column adsorption After studying the feasibility of the adsorption of textile dyes on raw P. oceanica in batch mode, it was determined that this material can be considered an effective adsorbent support for the elimination of several types of dye. At this stage, the study of dynamic adsorption on columns is essential since it is the basis of the scaling up of the process in industrial applications. Dynamic adsorption experiments are generally conducted in vertical columns filled with biomass, operated in downflow mode, and continuously fed with dye solution at a controlled flow rate using a peristaltic pump. The treated dye solution was then collected from the bottom of the column. In these experiments, the breakthrough curves C ( C t = f (t)) are plotted for various parameters, such as the 0 initial pH of the solution, flow rate, initial dye concentration, and bed depth. Among the significant measured parameters, the breakthrough time represents the time at which the dye concentration in the effluent reached a minimum fixed breakthrough value, which is in most cases less than 10% of the initial dye concentration. The bed exhaustion time is also an important parameter that represents the time at which the dye concentration in the effluent reaches a maximum fixed amount of dye, which is generally more than 90% of the initial dye concentration. Generally, the plot of the breakthrough curves monitoring the dye elimination behavior of the column shows that the amount of adsorbed dye decreased with increasing flow rate and increased with increasing dye concentration and bed height [110]. Indeed, the breakthrough time decreased Chemistry Africa with increasing influent dye concentration. At lower influent dye concentrations, breakthrough curves were dispersed, and breakthrough occurred more slowly. As the influent dye concentration increased, sharper breakthrough curves were obtained. These results demonstrate that the change in the concentration gradient affects the saturation rate and breakthrough time. This can be explained by the fact that more adsorption sites were covered as the dye concentration increased. The larger the influent concentration is, the steeper the slope of the breakthrough curve and the smaller the breakthrough time [111]. The experimental results of dynamic dye adsorption on columns are generally supported by mathematical models such as the Thomas model described by Eq. (1) below [111]: Ct 1 = [ ] C0 1 + exp Kth (q0 x − C0 Veff )∕𝜐 (1) where kTh is the Thomas rate constant (ml.mg−1.min−1), which describes the rate of solute transfer from the liquid to the solid phase; ­q0 is the equilibrium uptake (mg.g−1); x is the amount of adsorbent in the column (g); ­Veff is the effluent volume (L); and ­C0 is the influent dye concentration (mg. ­L−1), ­Ct is the effluent concentration at time t (mg. ­L−1), and υ is the flow rate (mL.min−1). The dynamic removal of various biomass types by methylene blue dye has been studied in several studies [101, 111, 116–119], and Table 11 regroups the related results. In all the reported studies, the MB adsorption capacity increased with increasing pH. A shorter breakthrough time and greater MB removal efficiency were obtained at higher bed. heights. A comparison of the results of the dynamic adsorption of MB dye on columns filled with different types of biomass showed that the retention capacity of the column filled with P. oceanica was greater (480 mg.g−1) than that of the other materials. Dye elimination decreased by 67.4% compared with 64.74% for Guava leaf powder and 55% for treated olive pomace. In another study, Mahjoub et al. (2014) [110] studied the dynamic adsorption of Congo red (CR) dye onto a raw P. oceanica fixed bed. They found that the removal of CR by raw Posidonia fibres reached 80% with a dye concentration of 10 mg. L ­ –1, a flow rate of 0.47 mL.min–1 and at a pH of approximately 6.5. They also reported that the adsorption behavior of CR is significantly influenced by the pH of the solution since a lower pH corresponds to a longer breakthrough time. Similarly, for the flow rate, low values prolonged the breakthrough time. The increasing inlet CR concentration shortened the breakthrough time and increased the equilibrium uptake. Additionally, for bed depth, they found that as the bed height increased, the steepness of the breakthrough curve decreased. 3.2 P. oceanica cellulose extracts High-grade cellulose with an important α-cellulose content and significant crystallinity index can be extracted from the renewable marine biomass P. oceanica [120]. Cellulose extracts are mainly used in the fields of textiles, pharmaceuticals, food and packaging [58]. However, its use for the removal of textile dyes from aqueous effluents by adsorption has proven to be effective according to several studies. Cellulosic fibres are compounds with a high degree of organization, and the progressive elimination of the less organized parts leads to fibrils with increasing crystallinity up to almost 100%. The color removal abilities of different scales of P. oceanica cellulose extracts were tested. Douissa et al. (2013) [35] studied the elimination of MB dye by the cellulose extract of P. oceanica and reported a maximum MB adsorption capacity of 0.955 mmol ­g−1, which corresponds to 305.45 mg.g−1. Moreover, the maximum MB uptake in P. oceanica leaves calculated by Allouche and Yassaa (2018) [36] was 357 mg.g−1. In the same context, Batmaz et al. (2014) [121] studied the removal of MB by CNCs prepared from commercial cellulose fibres via sulfuric acid hydrolysis, and the maximum adsorption capacity of this material was 118 mg.g−1. Douissa et al. (2013) [35] studied the detailed structure of cellulose extracted from P. oceanica using FTIR analysis and the acidic functional groups by Boehm titration. The results showed that most detected acidic functional groups were carboxylic (0.875 mmol. g−1), followed by phenolic (0.275 mmol.g−1) then lactonic (0.015 mmol.g−1). Authors concluded that the adsorption of MB on this material seems to be driven by electrostatic interaction and hydrogen bonding involving respectively charged groups and OH groups. The dye/extracted cellulose interaction can be explained as a competitive adsorption of water molecules and dye cations, leading to the presence of the dye (as monomer and dimer species) in zones of electric double layer, where dye ions are surrounded by water molecules and not in direct contact with the fiber surfaces. The use of CNCs produced by hydrolysis of commercial microcrystalline cellulose for MB adsorption led to a maximum adsorption capacity of 101 mg.g−1 [122]. Cellulose nanofibrils (CNFs) prepared from kenaf cores were also tested for MB dye removal by Chan et al. (2015) [123], and the maximum dye uptake value was 122.2 mg.g−1. The adsorption of MB onto activated carbon/cellulose biocomposite films was investigated by Somesta et al. (2020) [124], and the maximum adsorption capacity (103.66 mg.g−1) was also less than the adsorption capacity of raw P. oceanica and its extracted cellulose. MB removal using cellulose nanofibril aerogels derived from sago pith waste was the subject of the study of Beh et al. (2020) [125], and the maximum MB adsorption was 222.2 mg.g−1. Guava (Psidium guajava) leaf powder Corynebacterium glutamicum jackfruit (Artocarpus heteropyllus) leaf powder treated olive pomace H = 20 cm D = 1.5 cm H = 20 cm D = 1.5 cm H = 10 cm D = 3 cm H = 9 cm D = 1.2 cm H = 13 cm D = 1.5 cm H = 10 cm D = 2 cm P. oceanica Rice husk Column dimensions Adsorbent 40 300 40 45 50 200 17.5 1 50 100 8.2 7.28 Flow rate Initial dye con(mL. ­min−1) centration (mg. L−1) 5 1 20 10 1 Breakthrough concentration (mg. L−1) > 80 400 3480 > 100 28 214.5 Breakthrough Time (min) Table 11 Adsorption parameters of methylene blue dye onto different column filler materials 40 398 48.5 - - 99 Exhaustion concentration (mg.L−1) > 160 490 8640 > 250 - 841.5 15.24 267 124 98.27 4.41 480 Exhaustion Column uptake time (min) capacity (mg. g−1) 55 90.8 70.1 64.74 - 67.44 Color removal (%) 2.248 0.231 0.035 0.038 0.134 0.139 Kth (mg.mL−1. min−1) [119] [118] [117] [101] [111] [116] Reference Chemistry Africa Chemistry Africa A comparison of these results indicated that CNCs produced from P. oceanica biomass and even from raw P. oceanica leaves had the greatest MB adsorption capacity. 3.3 Activated Carbon of P. oceanica Agricultural wastes are often the best source for activated carbon production due to their low ash content. The study of the composition of P. oceanica showed that it is a cellulosic material with a low ash fraction (6–13%), which makes it a promising precursor for activated carbon production. Dural et al. (2011) [41] prepared activated carbon from P. oceanica leaves chemically activated using zinc chloride impregnation at ratios up to 45%. They studied the adsorption of MB dye onto prepared activated carbon and found that the Langmuir isotherm equation fit the experimental results better than did the Freundlich and Dubinin–Kaganer-Radushkevich (DKR) models, indicating monolayer adsorption with a maximum dye uptake of 270.3 mg.g−1. A comparison of the maximum adsorption capacity of MB with that of other low-cost biomass-based activated carbons (Table 12) revealed that P. oceanica activated carbon has the highest dye uptake over a wide range of pH values, which indicates that dead P. oceanic leaves can be effectively used as a precursor for the preparation of high-quality activated carbon. 3.4 Modified P. oceanica The modification of P. oceanica by chemical, physical or thermal treatments in an attempt to enhance its adsorption capacity has been investigated in several studies, and this approach seems to be a good alternative for improving dye elimination efficiency. In this context, Ncibi et al. (2007) [115] studied the protonation of P. oceanica with ­H3PO4 and ­HNO3 and reported that compared with that of raw materials, the color removal of reactive red 228 increased by up to 80%. The modification of raw P. oceanica biosorbent using succinic anhydride was studied by Aguir et al. (2009) Table 12 Adsorption capacity of MB on different biomass-based activated carbons Biomass T(°C) pH Qmax (mg.g−1) Reference P. oceanica Sunflower oil cake cotton stalk Olive seeds Oil palm shell Dragon fruit peel Bamboo Oil palm wood-based Rice husk 35 25 25 30 50 25 30 25 3–10 6 9–10 6.5 10 - 270.3 16.43 193.5 263 243.9 195.2 183.3 90.9 9.83 [41] [78] [81] [126] [127] [128] [129] [130] [131] [40], who reported that the same treatment enhanced the elimination of Direct Red 75, and the adsorption capacity increased from 37 mg.g−1 to 82 mg.g−1. These authors also studied ­Pb2+ grafting on treated P. oceanica and reported that modified P. oceanica saturated with P ­ b2+ was able to −1 adsorb 147.12 mg.g Direct Red 75. Aguir and M’Henni (2007) [109] also studied the carboxymethylation of cellulose extracted from P. oceanica and its use in basic blue 41 dye removal and used different carboxymethylate percentages and various contact times. Their results confirmed that chemical modification enhanced the adsorption behavior of P. oceanica extracts and demonstrated that modified P. oceanica has very high retention capacities for removing basic blue dye 41, whose maximum uptake ranges from 1252 to 2149 mg.g−1 at 30 °C, from 1764 to 2256.4 mg.g−1 at 40 °C, from 2080 to 2690 mg.g−1 at 60 °C, and from 2398 to 2950.88 mg.g−1 at 80 °C. In the same context, Elmorsi et al. (2022) [54] developed an activated adsorbent from the debris of P. oceanica rhizomes, the activation was performed using acetic acid. The removal of MB-spiked saline and brackish water was between 51.7% and 97.2%. Ferchichi et al. (2024) [132] developed a new adsorbent materials using polymer grafting onto cellulosic biomaterial of P. oceanica. They compared the adsorption properties of phenol red anionic dye on P. oceanica surface modified with polyaniline emeraldine salt with those of P. oceanica grafted with polyaniline emeraldine base. They concluded that modified material exhibited better performance than unmodified one. In addition, they stated that the presence of inorganic salts negatively affected the adsorption of phenol red dye because competitive adsorption between dye and ions occurred which reduced the adsorption efficiency. Thus, they highlighted the crucial role of the solution ionic strength in the adsorption experiments and the need to determine a salinity optimal range in dye adsorption on modified materials. Safarik et al. (2016) [133] studied the magnetic modification of P. oceanica biomass using three procedures: modification with microwave-synthesized magnetic iron oxide nano- and microparticles [134], mechanochemical synthesis [135] and modification with water-based magnetic fluid [136]. They found that the first method led to better methylene blue dye uptake (143.7 mg.g−1) than the second and third methods (102.5 mg.g−1 and 133.3 mg. g−1, respectively). The authors stated that this behaviour is due to the deposition of iron oxide nanoparticle aggregates on the surface of the Posidonia biomass after magnetic modification, providing sufficient surface area and consequently efficient dye adsorption. They also studied the use of modified P. oceanica biomass with microwave-synthesized magnetic iron oxide nano- and microparticles as adsorbents for the removal of 7 organic water-soluble dyes belonging to different dye classes, and the corresponding Chemistry Africa Table 13 Maximum adsorption capacities of different dyes using magnetically modified P. oceanica [133] Dye Qmax (mg.g−1) Acridine orange Bismarck brown Y Brilliant green Crystal violet Methylene blue Nile blue A sulfate Safranin O 119.8 233.5 151.8 99.9 143.7 193.7 88.1 the way for industrial-scale application. However, it is first necessary to further develop column tests using P. oceanica and its derivatives which remain poorly studied. Subsequently, studies must be carried out to highlight the environmentally friendly aspect of the use of biomaterials in general and particularly of P. oceanica, compared to conventional adsorbents through life cycle assessment. Once this is done, the next challenge will undoubtedly be the scaling up of the technology. Funding Not applicable. Declarations results are shown in Table 13. The values obtained for all the studied dyes were relatively high; Bismarck brown Y dye exhibited the highest value (233.5 mg.g−1), while the lowest ­Qmax value was obtained for safranin O (88.1 mg. g−1). Recently, a novel method for rapid magnetic modification of diamagnetic materials has been developed and applied on P. oceanica fibers [137]. This method is based on mixing of diamagnetic materials with suspensions of magnetite nanoand microparticles in highly volatile organic solvents under microwave irradiation. This modification procedure is very rapid when compared with already described procedures and can produce similar magnetic materials which can be used for dye removal applications. 4 Conclusion Today, the world finds itself in a critical situation between vertiginous industrial development and worrying environmental issues. Scientific research is therefore more oriented towards the valorization of renewable bioresources to follow the approach of sustainable development imposed by accentually severe environmental legislation. In this context, P. oceanica, a Mediterranean seaweed rich in cellulosic material that has been widely studied as an adsorbent for the elimination of textile dyes from colored effluents, has proven to be effective at reducing the initial amount of dye by up to 99%. The different forms of P. oceanica studied, such as the raw form, cellulosic derivatives, activated carbon or modified forms using chemical or physical treatments, have shown high percentages of dye removal as well as very satisfactory maximum adsorption capacities compared to those of other bioresources. Therefore, this marine biomass can be valorized to produce high-quality biosorbents or nanocomposite materials with excellent performance. The present work has summarized the existing experimental approaches for studying the use of P. oceanica-based adsorbents, which allowed high dye removal from colored effluents and paved Ethical Approval Not applicable. Informed Consent Not applicable. Conflict of Interest Not applicable. References 1. Mansour H, Boughzala O, Dridi D, Barillier D, Chekir-Ghedira L, Mosrati R (2011) Textile dyes as source of water contamination: screening of toxicity and treatment methods. J Water Sci 24:209–238. https://doi.org/10.7202/1006453ar 2. 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