Skip to Content
MoleculesMolecules
  • Article
  • Open Access

1 July 2026

On the Pb2+ Ions Adsorption onto Prunus dulcis Hull

,
,
,
,
,
,
,
,
1
Dipartimento di Fisica e Chimica—Emilio Segrè, Università di Palermo, Viale Delle Scienze, I-90128 Palermo, Italy
2
Dipartimento di Scienze Chimiche, Biologiche, Farmaceutiche ed Ambientali, Università Degli Studi di Messina, Viale F. Stagno d’Alcontres 31, I-98166 Messina, Italy
3
Dipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche, Università di Palermo, Viale Delle Scienze, ed. 17, I-90128 Palermo, Italy
4
NBFC, National Biodiversity Future Center, Palermo, Piazza Marina 61, I-90133 Palermo, Italy
This article belongs to the Section Analytical Chemistry

Abstract

In this study, Prunus dulcis hull (PDH) has been used to develop a cost-effective and eco-friendly adsorbent material for the removal of Pb2+ ions from polluted waters. The PDH particles were characterized using various techniques, including ATR-FTIR spectroscopy, ion-selective electrode ISE-H+ potentiometric titrations, pH of point of zero charge (pHpzc) analysis, thermogravimetric analysis (TGA), and scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDX). Single-batch adsorption experiments were conducted at different pH values, with pH 5.0 identified as the optimal initial pH in terms of Pb2+ adsorption performance of PDH. The study also evaluated the effects of temperature, ionic medium, and several organic ligands with different functional groups on the adsorption capacity of PDH. The results showed that PDH is an effective adsorbent for lead ions, with adsorption capacities (qm) ranging from 43 to 101 mg g−1 and an adsorption equilibrium time of approximately 750 min at room temperature. Additionally, column adsorption experiments demonstrated that PDH can be reused at least four times with minimal loss in performance. The adsorption behavior of PDH was comparable under both equilibrium (batch) and non-equilibrium (column) conditions, with the breakthrough time (BT0.5) values significantly affected by the background salts present in the toxic metal ion solution.

1. Introduction

Lignocellulosic feedstocks derived from agricultural and forestry activities represent a renewable and widely available resource with considerable potential across energy production, materials chemistry, and environmental remediation [1]. In the emerging bioeconomy, residual biomass is increasingly being exploited through co-firing with coal, dedicated biomass combustion systems, and advanced thermochemical conversion processes to generate heat, power, and liquid biofuels. Furthermore, biomass constituents, particularly cellulose and lignin, are valorised by integrated biorefineries that transform them into bioethanol, bioplastics, and other high-value fine and specialty chemicals [2,3,4,5]. Beyond their role in energy systems, these residues are precursors for functional materials such as biochar for soil amendment and wastewater treatment, activated carbon for water purification, and fiber-reinforced composites for lightweight structural applications [6,7,8].
The chemical versatility and renewable nature of lignocellulosic biomasses act as a promising solution for advancing sustainable chemical manufacturing and implementing circular economy principles [9]. Among their many applications, their use in environmental remediation has become strategic, especially in sustainable water treatment technologies. In response to growing global efforts to reduce water pollution and valorize agro-industrial by-products, increasing scientific interest has focused on lignocellulosic derivatives as cost-effective and environmentally friendly adsorbents for wastewater treatment [10]. Indeed, these materials naturally contain functional groups, including hydroxyl, carboxyl, and phenolic moieties, that provide strong affinity for a wide range of aqueous contaminants, including toxic metals, dyes, and organic pollutants [11,12,13].
Among water pollutants, toxic metal ions represent a particularly persistent and hazardous threat. Their non-biodegradable nature and tendency to bioaccumulate in food chains make them particularly problematic from both an ecological and public health perspective [14,15]. Pb2+ ion is considered one of the most dangerous toxic metal ions, as it can cause severe adverse effects even at trace concentrations. Chronic exposure to lead has been linked to neurological damage, cardiovascular disease, kidney dysfunction, and developmental disorders, especially in children [16,17]. For this reason, the development of ad hoc, scalable, and cost-effective purification technologies towards this toxic metal ion has become a key global priority, reflected in the goals outlined by the United Nations Sustainable Development Goals [18]. Indeed, conventional methods such as chemical precipitation, ion exchange, membrane filtration, and electrochemical treatment achieve regulatory targets [19] but, unfortunately, have several disadvantages like high operating costs, complex infrastructure, large volumes of secondary sludge, and declining performance at low contaminant levels [20,21].
Considering the pros and cons of available decontamination procedures, adsorption on agricultural and food waste biomasses would appear to be among the most cost-effective, as it operates under ambient conditions, requires no special reagents, generates a small amount of secondary waste, and allows for simple regeneration of the adsorbent [22].
Over the past decades, the study of the adsorption properties of different biomasses towards Pb2+ ions has been the subject of numerous articles and reviews published by researchers from all over the world [20,23,24,25] and our research group has given a contribute in this field by testing the adsorption properties of some of the most locally abundant biomasses, such as hazelnut (Corylus avellana) and almond (Prunus dulcis) shells [26], and Opuntia ficus indica cladodes [27].
In addition to the shells, the almond industry produces another secondary product, namely the hull. The hull is the outer covering of the kernel and the hard shell and represents the most abundant part of the fresh almond, accounting for about 50% of its weight. This percentage can be higher, up to 70%, depending on the almond variety [28].
Like other biomasses, the almond hull is mainly constituted by cellulose, hemicellulose, and lignin in different proportions that depend on different factors like cultivation conditions, harvesting methods, hulling procedures, almond variety, etc. [28,29]. Along with the expected water-insoluble macromolecular components, almond hull is rich in proteins, sugars, polyphenolic antioxidants, and even metal micronutrients [28,30,31,32], which suggests its possible use even as a functional ingredient for bread-making [31] and as an additive in livestock nutrition [28].
In 2023, the almond production in Italy was estimated at 77,680 tons [33]. It is also estimated that Italy produces ~1% of the world’s almonds [34], about 60% of which are produced in Sicily [35,36], making the almond-derived by-products highly available, in particular at the local level.
Prunus dulcis shells have been extensively investigated for adsorption applications in raw form, as chemically activated materials, and as biochar precursors [10,12,20,26,37,38]. Almond hull has received comparatively limited attention [23,39,40,41], and, to our knowledge, its adsorption properties towards Pb2+ ions have been investigated only by Nasseh et al. [23]. This article reports an in-depth study on the Pb2+ ion adsorption capacity of Prunus dulcis hulls (PDH) of Romana variety supplied by a local almond producer. The hull particles were prepared through a very simple process, without using chemicals. Therefore, they can be considered an economical and sustainable adsorbent, since they are an agricultural by-product and require low production costs.
This work aims not only to determine the adsorption capacity of PDH in water but also to understand how this material might behave, in terms of Pb2+ removal ability, in real aqueous matrices. For this reason, various scenarios were simulated by performing numerous kinetic and thermodynamic batch experiments in which were changed the initial pH (2 ≤ pH ≤ 6), the composition of solution (NaNO3 or NaCl 0.1 mol L−1, acetate, cysteine, or methylamine 5×10−4 mol L−1), the temperature (284.15 ≤ T (K) ≤ 303.15), and the Pb2+ ions concentration (30 ≤ cPb2+ (mg L−1) ≤ 250). Furthermore, complementary column experiments were made to assess the recyclability of PDH particles over multiple adsorption–desorption cycles and to simulate a practical application of the adsorbent through continuous-flow fixed-bed columns, replacing the experimental conditions of batch tests. The PDH particles were extensively characterized (ATR-FTIR spectroscopy, SEM-EDX, TGA, and ISE-H+ potentiometry) to study their morphology, as well as the type, acid-base properties, and concentration of their functional groups and their involvement in the adsorption process of Pb2+ ions.

2. Materials and Methods

2.1. Reagents

Pb(NO3)2 (Sigma Aldrich, MA, USA, analytical grade) salt was used to prepare lead solutions. NaNO3 (Sigma Aldrich, MA, USA, 99.0%) and NaCl (Riedel-de Haën, Germany, 99.8%) salts were dried at 383.15 K for 2 h before use. Methylamine hydrochloride (MA, Alfa Aesar, MA, USA, 99%), sodium acetate (Ac, Carlo Erba, Italia, ≥99.5%), and L-cysteine (Cys, Fluka, Switzerland, ≥99.5%) were used as they were provided. HCl 0.975 N (Sigma Aldrich, MO, USA), HNO3 1 M (Fluka Analytical, Switzerland), and NaOH 1 M (Fluka Analytical, Switzerland) were used to prepare diluted solutions, which were standardized against Na2CO3 (Merck, Germany, 99.9%) and C8H5KO4 (Merck, Germany 99.5%), respectively, and subsequently used to adjust the pH of Pb2+ solutions and in potentiometric titrations.
Standard solutions of Pb2+ (CertiPUR, Merck, Germany) and Ca2+ (Titrisol, Sigma Aldrich, MA, USA) 1000 mg L−1 in 2% HNO3 were used for instrument calibration. All the solutions of this work were prepared with freshly CO2-free ultrapure water (ρ ≥ 18 MΩ cm) and grade A glassware.

2.2. Adsorbent Preparation and Characterization

The PDH was collected in July 2023 in Sicily, near Palermo (Italy; 38°6′32.7″ N, 13°31′49.7″ E). They were cut into small pieces, dried in an oven at 333.15 K, carefully washed with tap water, and finally with ultrapure water. The washing procedure was stopped when TOC measurements of the supernatant confirmed the absence of organic matter. The PDH particles were dried at 333.15 K, ground with a domestic mill, and sieved with a sieve shaker Octagon Digital (Endecotts, UK). PDH particles with a size in the range 0.1< x/mm < 0.2 were collected for subsequent experiments.
The TGA of the PDH particles was performed by using a Thermogravimetric Analyzer Discovery, TGA 550 Discovery Series instrument (TA Instruments, DE, USA). In detail, 3–5 mg of PDH particles were previously dried at 323.15 K for 72 h and analyzed under an air flow of 60 mL min−1 with a balance purge of 40 mL min−1. The temperature range covered in the experiment was approximately 303.15–1173.15 K, with a heating rate of 10 °C min−1.
ATR-FTIR spectra of PDH particles (450 ≤ wavenumber (cm−1) ≤ 4000, spectral resolution = 16 cm−1, number of scans = 100), before and after the toxic metal ion adsorption, were recorded by using a PerkinElmer Spectrum Two instrument (Waltham, MA, USA). All the analyzed PDH samples were previously ground and dried at 383.15 K for 24 h.
PDH micrographs before and after the Pb2+ ions adsorption were acquired by a field-emission scanning electron microscope, JEOL model JSM-7610F Plus (JEOL Ltd., Tokyo, Japan) equipped with an energy dispersive X-ray spectroscopy probe (EDX, Oxford Instruments, UK) for semi-quantitative elemental analysis. A 15 kV voltage and a working distance of 15 mm were used, and the samples were previously coated with a 5 nm layer of gold to increase conductivity.
The acid–base behavior of the active sites of PDH surface was investigated through potentiometric titrations using a Metrohm 809 Titrando equipped with an Orion-ROSS combined “sure-flow” glass electrode (model 8172BNWP, uncertainty ± 0.15 mV) and an automatic burette (uncertainty ± 0.003 mL). The sure-flow electrode was selected to prevent junction clogging, a common issue when analyzing heterogeneous suspensions. The system was connected to a PC, with parameters such as titrant delivery, data acquisition, and e.m.f. stability, were monitored and controlled through the Metrohm TiAMO 2.5 software. Three potentiometric titrations were carried out under constant stirring on 25 mL aqueous suspensions containing 0.15, 0.20, and 0.30 g of PDH, hydrochloric acid (cH = 0.01 mol L−1) to adjust the initial pH to approximately 2.0, and NaCl as background electrolyte to adjust ionic strength to a value of I = 0.10 mol L−1. The suspensions were constantly bubbled with saturated N2 (g) (purity 99.99%) and titrated in thermostatted cells maintained at T = 298.15 ± 0.1 K with standard CO2-free sodium hydroxide solutions ([NaOH] = 0.1016 mol L−1) up to pH ~ 11.5.
Calibrations were performed at the same experimental conditions of the PDH suspensions to determine the standard electrode potential (E0), and the acidic junction coefficient (ja, Eja = ja [H+]).
The pH of the point zero charge (pHpzc) of PDH was estimated by the pH-drift method [42] in NaNO3 0.1 mol L−1. Aliquots of 35 mL of solution at different pH levels between 2 and 10 were placed in different Erlenmeyer flasks with 25 mg of PDH particles. The suspensions were purged with purified N2 for 10 min, sealed, and shaken for 24 h.
The drift method is one of the immersion techniques used in the literature, together with other methods like mass titrations, potentiometric mass titrations, and alkalimetric titrations, to determine the pHpzc.
It is important to emphasize that the parameter thus calculated differs from the one originally proposed [43]. In particular, it provides the pH at which the material has an average surface charge equal to zero only under the experimental conditions (ionic medium, ionic strength) of the aqueous solutions in which it is determined (NaNO3 0.1 mol L−1 in this work) [44].

2.3. Procedures for Batch and Column Adsorption Experiments

At first, batch adsorption tests of PDH particles towards Pb2+ ions were carried out at pH values of 2, 3, 5, and 6. To this end, ~20 mg of PDH particles were placed in different Erlenmeyer flasks containing 20 mL of Pb2+ ions solution 120 mg L−1, at T = 293.15 K. The suspensions were stirred at 180 rpm for 24 h with an orbital shaking incubator (Labbox instruments, Spain, mod. CTSI-070-001) and filtered through nylon syringe filters (SPHEROS, pore size = 0.45 μm) before measuring the Pb2+ ion concentrations in the collected supernatants.
The subsequent batch and column adsorption experiments were done at the initial pH = 5.
The kinetics of Pb2+ ions adsorption onto PDH particles were studied at pH = 5.0, T = 298.15 K, in NaNO3 and in NaCl 0.1 mol L−1. For each ionic medium, the experiment was performed twice by suspending ~19 mg of PDH particles in 50 mL of Pb2+ solution (cPb2+ ≈ 24 mg L−1) in a thermostatted voltammetric cell under constant and regular stirring. The Pb2+ concentration in the suspension was measured at different contact times in the range 0–25 h through Differential Pulse Anodic Stripping Voltammetry (DP-ASV). The voltammetric apparatus, controlled by NOVA v. 1.10 software, was a Metrohm 663 VA stand combined with the Autolab potentiostat coupled with the IME663 interface. The VA stand was equipped with (i) a Multi-Mode Electrode Pro (Metrohm, Switzerland code 6.1246.120) working in the Static Mercury Drop Electrode (SMDE) mode, (ii) a glassy carbon auxiliary electrode (code 6.1247.000), and (iii) a double junction Ag/AgCl/KCl (3 mol L−1) reference electrode (code 6.0728.030). The experimental electrochemical conditions were the same reported in ref. [27].
Batch isotherm experiments were conducted in Erlenmeyer flasks by placing 20–200 mg of PDH particles in 20–50 mL of Pb2+ solution (cPb2+ = 30–250 mg L−1) at pH = 5.0. The effects of ionic medium, organic ligands, and temperature were evaluated by using Pb2+ solution in pure water, in the ionic media NaNO3 and NaCl 0.1 mol L−1, in the presence of the organic ligands acetate (Ac), methylamine (MA), and L-cysteine (Cys) 0.5 mmol L−1, and in the temperature range 284.15–303.15 K. The suspensions were shaken for 24 h and filtered. After that, the supernatants were collected to measure the pH at adsorption equilibrium (pHf) and the Pb2+ ion concentration at equilibrium. A single batch of suspensions of the same background of the isotherm experiments and with the same amount of PDH particles was prepared and shaken for 24 h in order to measure the pHf in the absence of Pb2+ ions.
The reusability and recyclability of the PDH were investigated by packing 19.9 mg of PDH particles into a glass column (2 cm diameter, 5 cm length) with glass beads at the top to prevent PDH particles movement. In the adsorption steps, 15 mL of lead solution 65 mg L−1, at pH = 5.0, was flowed at reflux (6 mL min−1 for 20 h). In the desorption steps, 15 mL of HCl 0.1 mol L−1 flowed at the same flow rate for 4 h. After each adsorption and desorption step, the adsorbent was rinsed with 100 mL of ultrapure water. Four adsorption–desorption cycles were performed. The fixed-bed column experiments were conducted in a down-flow configuration using a glass column (internal diameter: 1.5 cm; length: 18 cm) packed with 90 mg of PDH particles. The experimental setup was the same as that reported in ref. [27]. Breakthrough profiles for the adsorption of Pb2+ ions onto PDH were studied in ultrapure water, in NaNO3 0.1 mol L−1, and in NaCl 0.1 mol L−1 aqueous solutions, at pH 5.0 and T = 293.15 K.
The Pb2+ ion concentration in the collected solutions was measured by Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES) technique with a PerkinElmer, CT, USA, Model Optima 2100, equipped with an auto sampler model AS-90.
The pH of the Pb2+ solutions, before and after contact with the PDH particles, was measured with the same potentiometric apparatus previously described.

2.4. Kinetic, Isotherm, and Breakthrough Models

The kinetic experimental data (t, qt) were tentatively fitted with the most used models: the pseudo-first order (PFO) equation of Lagergren [45] (Equation (1)), the pseudo-second order (PSO) equation [46] (Equation (2)) and the Weber–Morris equation (Equation (3)) [47]:
q t = q e   ( 1   e k 1 t )
q t = q e 2   k 2   t 1 + q e   k 2 t
q t = k i t 0.5
where qt and qe represent, respectively, the adsorption capacity of PDH particles (mg g−1) at time t and at the equilibrium; k1 (min−1) and k2 (g mg−1 min−1) are the rate constants of adsorption., ki (mg g−1 min −0.5) is the intraparticle diffusion constant.
The isotherm experimental data were fitted to the Freundlich [48] (Equation (4)) and Langmuir [49] (Equation (5)) models:
q e =   K F   c e 1 / n
q e = q m   K L   c e 1 + K L   c e
where qm (mg g−1) is the maximum adsorption capacity of the PDH particles, ce (mg L−1) is the Pb2+ concentration at equilibrium, KF (L1/n g−1 mg1−1/n) and KL (L·mg−1) are the constants of the Freundlich and Langmuir models, respectively.
The amount of Pb2+ ions adsorbed at different contact times t (qt) was calculated by Equation (6):
q t =   V   ( c 0 c t ) m
where V (L) is the volume of the Pb2+ ion solution, and m is the mass of PDH particles (g); c0 and ct are the Pb2+ ion concentrations in the solutions (mg L−1) at t = 0 and t = t, respectively. The same equation was used to calculate qe, replacing ct with the equilibrium concentration (ce).
The Langmuir constant values (KL/L mol−1) [50] at different temperatures were used to calculate the thermodynamic parameters ΔG0 (kJ mol−1), ΔH0 (kJ mol−1), and ΔS0 (kJ mol−1 K−1) by using Gibbs (Equation (7)) and van’t Hoff (Equation (8)) equations. The following assumptions were made: (i) the adsorption is reversible, (ii) the adsorption stoichiometry does not change, (iii) the adsorption equilibrium was reached during the experiments [50].
G 0 = R T ln K L
ln K L = H 0 R T + S 0 R
where R is the universal gas constant 8.314 J mol−1 K−1 and T is the temperature in K.
The nonlinear forms of the logistic (Equation (9)), Gompertz (Equation (10)), and Log-Gompertz (Equation (11)) models [51] were used to fit the breakthrough curves:
c t c 0 = 1 1 + e x p ( a b t )
c t c 0 = e x p e x p ( α G β G t )
c t c 0 = e x p e x p ( α L G β L G l n t )
where a and b (min−1) represent the parameters of the logistic model, whereas α G , β G (min−1) and α L G , β L G   ((ln min)−1) are the respective parameters of the Gompertz and Log-Gompertz models. Equation 9 is equivalent to the simplified Bohart–Adams model [52], which is also mathematically analogous to the Thomas and Yoon–Nelson [51]. Accordingly, the parameters a and b can be correlated to those used in the Thomas and Yoon–Nelson formulations, as previously documented [51]. While the logistic-based models (i.e., simplified Bohart–Adams, Thomas, and Yoon–Nelson) share a common derivation and reduce to an identical sigmoidal function, the Gompertz and Log-Gompertz models are empirically derived and proposed for fitting adsorption data without an explicit mechanistic basis [53].
Fitting of experimental data to kinetic, isotherm, and breakthrough models was performed using the OriginLab suite 2025 software (OriginLab Corporation, Northampton, MA, USA).

3. Results and Discussion

3.1. Characterization of PDH Particles

The pHpzc of PDH particles measured in NaNO3 0.1 mol L−1 was 5.61 (see Figure 1), indicating a net positive or negative charge on the particle’s surface at pH values below or above this value, respectively. According to IUPAC recommendations [43], a rigorous determination of the point of zero charge requires a direct surface-charge characterization and assessment of ionic-strength effects. Therefore, it should be emphasized that the here reported pHpzc value can be used only as a comparative descriptor of the acid–base behavior of the adsorbent under fixed ionic-medium conditions.
Figure 1. pHpzc of PDH particles in NaNO3 0.1 mol L−1.
The net surface charge depends on the protonation/deprotonation equilibria of the functional groups of the numerous macromolecules present in the biomass. The acid-base equilibria of biomass, which represent a challenging task, were studied through a series of ISE-H+ potentiometric titrations carried out on PDH particle suspensions in NaCl at the same ionic strength of pHpzc determination.
The analysis of the potentiometric titrations was carried out using the BSTAC software (version 4.0) [54]. During the data elaboration, several models were tested, considering different pH ranges and assuming the presence of a different number (from 1 to 4) of monoprotic functional groups. For each model, the acidic dissociation constant(s) and the site concentration (cPDHi, mmol L−1) for each titration were determined. The material site density (PDHi, mmol g−1) was estimated, for each titration, by using Equation (12):
Site density (PDHi, mmol g−1) = cPDHi (mmol L−1) × Volume (L)/PDH mass (g)
This calculation was used as a measure of the reliability of the data analysis.
As a whole, four different models were obtained considering one, two, three, and four monoprotic functional sites. Among them, the most reliable results were obtained elaborating data within the 2 ≤ pH ≤ 5 range. The choice of using such a pH range also depends on the fact that the recovery of metal cations is achieved in acidic conditions (pH < 6).
The dissociation constants and the site concentrations (cPDH1) are summarized in Table 1. Considering the acidic constant value obtained, log KH = 3.73 ± 0.02 (95% C.I.), these functional groups likely refer to carboxylate moieties. The material site density obtained by considering all the titrations is PDH1 = 0.14 ± 0.01 mmol g−1 (95% C.I.).
Table 1. Results obtained from the potentiometric titrations of PDH in NaCl 0.1 mol L−1, at T = 298.15 K, in the pH range of 2–5, assuming only one monoprotic functional group (PDH1).
As far as other models are concerned, the obtained results are listed in Table S1 of the Supplementary Materials and show that site concentrations estimated for one of such sites (i.e., PDH4) are too high to be reliable, as values obtained were around 50–150 mmol L−1. Considering that the PDH4 site acidic constant is ~ 12, namely, undergoing deprotonation in very alkaline conditions, it was confirmed that sorbent particles partially dissolved in these extreme pH conditions, as reported in refs [55,56,57] for lignocellulosic materials.
To provide a chemically meaningful modeling, the material site density should remain constant regardless of the amount of biomass used within experimental error. Therefore, cPDH1 is expected to increase proportionally with mass, resulting in data points aligned along a linear trend. The scatter plot (Figure 2) reporting the site concentration (cPDH1, mmol L−1) obtained as a function of PDH mass used for the titrations (0.15289 g, 0.20279 g, and 0.30013 g) shows a clear correlation between the two variables, thus confirming the robustness of the one-site model.
Figure 2. Scatter plot of cPDHi (mmol L−1) vs. PDH mass (g) assuming only one monoprotic functional group (PDH1) in NaCl 0.1 mol L−1, at T = 298.15 K, pH range: 2–5.
SEM micrographs at 1000× magnification and EDX spectra of PDH before and after Pb2+ ion adsorption are shown in Figure 3. The micrographs showed a biomass consisting of particles with irregular and thread-like shapes and a surface that becomes more wrinkled and corrugated after the Pb2+ ions adsorption. The rough elemental composition of PDH in % (w/w), as an average of three EDX spectra (see Table 2), confirmed the toxic metal ion adsorption.
Figure 3. SEM micrographs obtained at 1000× magnification (the white squares indicate the acquisition points of the EDX spectra) and EDX spectra of PDH particles as they are (a) and after Pb2+ ions adsorption (b).
Table 2. Elemental composition of PDH particles as they are and after Pb2+ ion adsorption from EDX spectra.
The ATR-FTIR spectrum of the PDH (Figure 4) is perfectly consistent with the one already published by Salgado-Ramos et al. [32] and by Scappaticci et al. [58]. The main signals present in the spectrum are summarized in Table 3. Tentative attributions can be made on the grounds of literature reports; however, caution is needed in accomplishing the task due to the complex nature of the biomass. For instance, close inspection of the peak centered at 1606 cm−1, attributed to aromatic C=C str., appears indeed to be the convolution of several bands centered at higher wavenumbers, which can be reasonably attributed to the protein content (namely, Amide-I-like bands). In a similar way, the complex band system in the 1500~1100 cm−1 region derives from the superimposition of the fingerprint vibrational modes of lignin, carbohydrates, and polyphenol constituents, mainly associated with the aromatic C-C and the C-O stretching vibrations. Conversely, the strong signal centered at 1028 cm−1 can be confidently attributed to the macromolecular polysaccharide backbone (cellulose, hemicellulose).
Figure 4. ATR-FTIR spectrum (3700~700 cm−1) of the PDH biomass.
Table 3. Attribution of ATR-FTIR signals.
Interaction of the biomass with the Pb2+ ion causes subtle but interesting modifications in the FT-IR spectra (Figure 5). In fact, along with a strong enhancement, a slight blue-shift in the aromatic str. band (from 1606 to 1617 cm−1), two new signals appear, centered at 1315 and 780 cm−1. These findings tentatively suggest that the metal ion might preferentially interact with the aromatic moieties of lignin and other insoluble polyphenols present in the biomass, according to the model proposed by Soria et al. [59] for the interaction of metal cations with biochars. This might involve the occurrence of both π-cation and OH-cation interactions. In fact, the aforementioned signals at 1315 and 780 cm−1 are consistent with the aromatic C-O vibrational modes and the aromatic C-H out-of-plane bend, respectively [60,61,62]. Nevertheless, further interactions cannot be ruled out.
Figure 5. ATR-FTIR spectra (1800~700 cm−1) of PDH before (blue) and after (red) the adsorption of Pb2+ ions, and relevant difference spectrum (green) after suitable baseline correction and normalization with respect to the cellulose peak (1028 cm−1).
Further information on the PDH composition was obtained from its thermal decomposition profile in an oxidizing atmosphere. The TGA curve of PDH particles in air is reported in Figure 6. For comparison purposes, in the same graph is shown the TGA curve of shell particles of the same almond cultivar previously investigated [26].
Figure 6. TGA curves of PDH (straight lines) and of the almond shell [26] (dashed lines) particles.
The TGA curve of PDH particles showed an initial mass loss at low temperatures (T < 230 °C), attributable to the removal of moisture and water trapped in the organic matrix, in line with observations for other lignocellulosic biomasses under oxidizing conditions [63]. A second degradation stage between approximately 230 °C and 370 °C was attributed to the decomposition of the most thermolabile organic compounds, primarily hemicellulose, cellulose, and volatile components, which are typical of lignocellulosic biomasses heated in air [64]. At higher temperatures, a third decomposition step was observed up to about 430 °C, mainly associated with cellulose and, to a lesser extent, lignin degradation. Beyond this temperature, the material undergoes progressive carbonization, which ends around 470 °C, like in other lignocellulosic biomasses with comparable lignin and cellulose contents [63]. In the range of 550–650 °C, a slight additional mass loss can be observed, suggesting secondary degradation of the residual carbon or oxidation of more stable organic species. Above this temperature, the PDH sample maintains a nearly constant mass, corresponding to about 3.4% of the initial weight, indicating the complete decomposition of the organic components.
A comparison between the TGA curves of PDH and almond shell particles under the same experimental conditions highlights marked differences in their thermal behavior, directly related to their distinct chemical composition and lignocellulosic structure. In particular, PDH shows a more concentrated degradation within the low and intermediate temperature range (230–430 °C), with faster mass loss and a smaller amount of solid residue. This degradation profile reflects a higher content of labile polysaccharidic fractions, mainly hemicellulose and cellulose, and a lower lignin content.
The more pronounced decomposition in the second stage and the lower carbonaceous residue (~3%) are indicative of a structure richer in oxygenated components and less stabilized, consistent with the more fibrous and less lignified nature of PDH particles [38,65].
Conversely, the almond shell exhibits a more gradual and extended degradation profile, with a third stage reaching much higher temperatures (≈900 °C). These features indicate a relatively higher lignin content, a component known for its greater thermal resistance and slower oxidative behavior [63,64]. Lignin, indeed, degrades progressively over a wide temperature range, producing a more stable char that oxidizes only above 600 °C [38,63,64,65], confirming that the relative proportion of cellulose, hemicellulose, and lignin is the key factor governing the oxidative thermal behavior of biomasses.

3.2. Data Analysis of the Adsorption Kinetics

The adsorption kinetics of Pb2+ ions onto PDH particles have been studied at pH = 5.0, in NaNO3 and in NaCl 0.1 mol L−1, and at T = 298.15 K. All the experiments were carried out in a voltammetric cell at the same Pb2+ concentration and adsorbent–adsorbate ratio (see Section 2.3). The experimental data were processed with the most used PFO and PSO kinetic equations, whose refined parameter values are reported in Table 4 together with the statistical parameters adj R2 and std. dev. of fits. Both models fit the collected data very well with no significant differences in goodness of fit (see Figure 7). However, the PFO model was preferred based on the refined qe values, which were much closer to the qe exp in both the ionic media investigated.
Table 4. Parameters of PFO and PSO kinetic models for Pb2+ adsorption onto PDH particles in aqueous solution containing NaNO3 or NaCl 0.1 mol L−1, at pH = 5.0, and at T = 298.15 K.
Figure 7. Dependence of qt (mg Pb2+ adsorbed/g of adsorbent) on contact time of PDH particles with aqueous NaNO3 (☐) and NaCl (◯) solutions at I = 0.1 mol L−1, at pH = 5 and T = 298.15 K. Data are fitted with PFO (continuous line), PSO (dashed line) kinetic models.
The adsorption equilibrium was reached after about 750 min with a slightly faster adsorption process in NaCl (k1 = 4.69×10−3 and 5.82×10−3 min−1 in NaNO3 and NaCl 0.1 mol L−1, respectively). The largest difference between the ionic media was found in terms of adsorption ability at equilibrium, which was reduced by ~5 mg g−1 by the addition of NaCl. It is likely attributable to the different chemical speciation of lead in the two ionic media. In particular, in NaNO3 0.1 mol L−1, almost the 100% of the toxic metal ion is present as aquo ion. In NaCl 0.1 mol L−1, at the experimental conditions of the kinetic experiment, the percentage of aquo ion reduces to ~50% due to the formation of Pb–Cl species (PbCl+, PbCl2, PbCl3) [66]. The different sizes and charges of these species result in a reduced affinity for the PDH binding sites, leading to lower qe values.
To elucidate whether intraparticle diffusion acted as the rate-limiting step, the kinetic data were also analyzed using the Weber–Morris model in its original formulation [47,67] (see Figure 8). Theoretically, if the process is strictly controlled by diffusion, a linear relationship between qt and t0.5 must be observed in the initial stage of adsorption (fractional uptake qt/qe < 0.3).
Figure 8. Weber–Morris plots for the kinetic adsorption of Pb2+ ions onto PHD particles from solution containing NaCl 0.1 mol L−1 (a) and NaNO3 0.1 mol L−1 (b), at pH = 5.0, and at T = 298.15 K.
Among the two investigated systems, better linearity in the Weber–Morris plot (adj. R2 = 0.8438) was observed only for the kinetic data collected in NaCl. However, the lower linearity obtained in NaNO3 (adj. R2 = 0.7536) does not exclude the occurrence of diffusion-related phenomena but suggests that additional interaction mechanisms like ionic exchange or physical adsorption contribute to the adsorption behavior. These mechanisms remain consistent with a predominantly physisorption-driven process (see Section 3.4).

3.3. Data Analysis of the Adsorption Equilibria

Some single batch adsorption tests were carried out with Pb2+ ion solutions at pH = 2.0, 3.0, 5.0, and 6.0 and at T = 293.15 K using the same adsorbent/adsorbate ratio at which the adsorbent was saturated (qeqm). The qe value gradually increases with the increasing of pH and reaches a quite stable value starting from pH = 5.0 (see histogram of Figure 9). The experiments were carried out up to pH = 6 to prevent the formation of low-solubility hydrolytic species of Pb2+ ions. The most plausible reasons for this trend are the competition between H+ ions and Pb2+ ions for PDH binding sites at low pH values and the gradual deprotonation of PDH binding groups with increasing pH.
Figure 9. qe values of Pb2+ ions adsorption onto PDH particles in the pH range 2.0–6.0. Experimental details: ~20 mg of PDH particles in 20 mL of Pb2+ 120 mg L−1, at T = 293.15 K.
pH = 5 was chosen as the initial pH for all isotherm experiments. Furthermore, the pH of all suspensions at adsorption equilibrium was measured to obtain further information about the adsorption mechanism and to confirm the absence of low-soluble hydrolytic species of lead that would distort the PDH qe values.
At first, the adsorption equilibrium was studied in aqueous solution at I → 0 mol L−1 and T = 293.15 K. Then, the thermodynamic study was extended by evaluating the effects of (i) interacting and non-interacting media (NaNO3 or NaCl 0.1 mol L−1), (ii) organic ligands with different functional groups (MA, Ac, and Cys at c = 5 10−4 mol L−1), and (iii) temperature (284.15 ≤ T (K) ≤ 303.15).
The equilibrium pH (pHf) of isotherm experiments carried out in water and in solution with backgrounds that do not interact with lead ions (NaNO3 0.1 mol L−1, and MA 5 10−4 mol L−1, the latter, totally protonated at pH = 5) was equal to or, at most, slightly higher than the initial pH (ΔpH up to 0.3 units). When an interacting background was added to the Pb2+ solution (NaCl 0.1 mol L−1, Cys or Ac 5 10−4 mol L−1), the pHf increased by almost one unit. The pHf values of suspensions containing only the backgrounds (without Pb2+ ions) (see the pH values in parentheses reported in Table 5) were, on average, one unit higher than 5 as a consequence of protonation of some functional groups of PDH. The presence of Pb2+ ions hinders the protonation of PDH sites (the pHf is almost the same as that in parentheses) only when the background interacts with the toxic metal ion (NaCl, Ac, and Cys), forming more or less stable species.
Table 5. Freundlich and Langmuir isotherm parameters for the Pb2+ ions adsorption on PDH particles in aqueous solution at pH = 5.0, without ionic medium, in NaNO3, and in NaCl 0.1 mol L−1, in the temperature range 284.15–303.15 K.
In all isotherm experiments, the pHf was lower than that of the formation of low-solubility Pb2+ hydrolytic species.
The experimental data (qe vs. ce) were fitted with the Langmuir and the Freundlich isotherm equations. Results of regression analysis with both isotherm models are depicted in Figure 10 and in Figures S1 and S2 of the Supplementary Materials. The relevant fitting parameters are collected in Table 5 together with the experimental maximum adsorption capacity (qm exp), the adj. R2, and the standard deviations of the fits. Better fitting was achieved by means of the Langmuir model.
Figure 10. Adsorption isotherms of Langmuir (continuous line), and the Freundlich (dashed line) equations for the adsorption of Pb2+ ions by PDH particles in aqueous solution at pH = 5.0, without ionic medium and with the addition of NaNO3 or NaCl 0.1 mol L−1, and T = 293.15K.
The maximum adsorption capacity of PDH at I → 0 mol L−1 was 72 mg g−1. The presence of an ionic medium, regardless of its interaction with lead, reduced the adsorption ability of PDH to the same magnitude (qm = 49 and 45 mg g−1 in NaNO3 and in NaCl, respectively) (see Figure 10).
It can be attributed to the shielding effect of the ions deriving from the salts, and to the competition towards PDH binding sites of the Na+ ions, whose concentration is at least 2 orders of magnitude larger than that of Pb2+ ions.
The formation of Pb–Cl species in NaCl, which slightly reduces the percent of lead positively charged species (% of Pb2+ = 50.6, % of PbCl3 = 0.8, % of PbCl2 = 10.3, % of PbCl+ = 38.3 at pH = 5.0, in NaCl 0.1 mol L−1 and T = 298.15 K), can explain the small reduction in the qm value in this ionic medium. Both ionic media drastically reduced the affinity of PDH towards the toxic metal ion and, consequently, worsened its adsorption ability at low Pb2+ concentration (KL = 1.4, 0.11, and 0.10 L mg−1 at I → 0 mol L−1, in NaNO3 0.1 mol L−1, and NaCl 0.1 mol L−1, respectively).
These results are consistent with those reported by Zhao et al. (2022) [68], who observed a similar decrease in the Pb2+ adsorption onto synthetic humic acid when NaNO3 was added to the toxic metal ion solution. The further reduction in the adsorption capacity of PDH in NaCl is consistent with what was found by Fuentes et al., Lascari et al., and Cataldo et al. for the adsorption of the same toxic metal ion onto microcrystalline cellulose beads, Opuntia ficus indica cladodes, and almond shell, respectively [26,27,69].
The organic ligand addition markedly affected the adsorption capability of PDH. The maximum adsorption ability (qm) trend was Cys > Ac >> H2O > MA, whereas the affinity (KL) trend was H2O >> MA >> Ac ≈ Cys.
The amino groups of MA, added to the Pb2+ solution at a much lower concentration than the two ionic media previously discussed, are fully protonated at pH = 5 and do not interact with the Pb2+ ion [70]. The slight reduction of qm and the halving of the KL value can be attributed to the same shielding effect previously discussed for the two ionic media. The significantly lower MA concentration justifies the smaller reduction of qm and KL values.
The effect of Ac and Cys on the Pb2+ adsorption was completely different. Indeed, the binding groups of both ligands are partially deprotonated at pH = 5.0 and can bind Pb2+ ions. The formation of Pb2+ species with both organic ligands in the pH range investigated was confirmed by the distribution diagrams built with literature formation constants [71,72] and at the same experimental conditions of adsorption experiments, using PyES v1.1.3 software [73] (see Figure S3 of Supplementary Materials). The Pb2+ complexation drastically reduces the concentration of Pb2+ aquo ion and, consequently, the affinity of PDH towards the toxic metal ion with KL values lower than 0.1 L mg−1. However, both organic ligands increased the maximum adsorption ability of PDH (qm = 93 and 101 mg g−1 for Ac and Cys, respectively).
The increase of qm can be tentatively attributed to the adsorption of the organic ligands onto the PDH particles, which creates new adsorption sites available to bind the Pb2+ ions.
The comparison between the maximum adsorption capacity (in mmol g−1) and the binding groups density of PDH1 (likely carboxylic groups) from potentiometric titrations (see Section 3.1) indicates that the stoichiometric ratio between mmol of Pb2+ adsorbed and mmol of binding groups per gram of PDH1 went from 1.5:1 in NaNO3 0.1 mol L−1 to 3.4:1 when Cys 5 ×10−4 mol L−1 is added to the Pb2+ solution. These findings evidenced that the binding groups of PDH1 moieties are not the only sites involved in the Pb2+ adsorption. This agrees with the interpretation of the FT-IR difference spectrum (see Figure 5) that suggested an involvement of aromatic moieties and of polyphenols of PDH during Pb2+ adsorption. The highest stoichiometric ratios found in the presence of Ac and Cys (3.1:1 and 3.4:1, respectively) can be tentatively explained in terms of co-participation of the functional groups of the ligands adsorbed on the surface of PDH [74].
Literature data of Pb2+ adsorption onto the two by-products derived from the almond industry, namely shell and hull, are reported in Table S2 of Supplementary Materials, together with the relevant experimental conditions [20,23,26,38,75]. Almond shell (PDS) was the most investigated and showed qm and KL values that did not exceed 25.546 mg g−1 and 0.34 L mg−1, respectively [20,38,75,76].
To the best of our knowledge, only Nasseh et al. studied the Pb2+ adsorption onto an almond hull-based adsorbent [23]. However, the authors investigated a composite material formed by hull and Fe2O3 without evaluating the contribution of the pristine almond hull to the adsorption. Moreover, the authors did not report the percentage of Fe2O3 in the composite material. The Pb2+ adsorption isotherm followed the Langmuir model in agreement with the PDH here investigated. The very low adsorption capacity and affinity (qm = 5.76 mg g−1 and KL = 0.53 L mg−1 at pH = 5 and at I → 0 mol L−1) can be attributed, to a lesser extent, to the different almond cultivar of the hull (Prunus amygdalus—Fascionello) but, mostly, to the addition of Fe2O3. This indicates the superior Pb2+ recovery efficiency of the raw material and the advantage of an adsorbent preparation process that does not require the use of additional reagents.
The results obtained here show that PDH is a better adsorbent of lead ions than PDS, with a markedly higher maximum adsorption ability and affinity (qm = 72 mg g−1 and KL = 1.4 L mg−1 at pH = 5 and at I → 0 mol L−1). This can be explained in terms of different chemical composition and lignocellulosic structure, with PDH having a higher content of labile polysaccharide fractions and a lower lignin content, as evidenced by the comparison of their TGA curves (see Section 3.1).

3.4. Effect of Temperature of Pb2+ Adsorption onto PDH

The effect of temperature on Pb2+ removal was investigated by performing adsorption isotherms at pH = 5.0 in 0.1 mol L−1 NaNO3, covering the temperature interval 284.15–303.15 K (see Figure S1 of Supplementary Materials). Examination of the qm values derived from Langmuir fitting (Table 6) showed that the adsorption capacity of PDH increased slightly as the temperature increased.
Table 6. Thermodynamic parameters for the Pb2+ ions adsorption on PDH particles from aqueous solution at pH = 5.0, in NaNO3 0.1 mol L−1, in the temperature range 284.15–303.15 K.
The effect of the temperature on the adsorption of metal ions onto biomasses is known to vary markedly among different systems. In some cases, increasing temperature results in higher adsorption capacities, typically due to the activation or generation of additional adsorption sites. In other systems, increasing temperature causes a reduction in adsorption performance, often attributable to thermally induced degradation of the surface functional groups responsible for metal binding [77,78].
In the present study, the thermal behavior of PDH, as evidenced by its TGA profile (Figure 6), did not show significant changes across the investigated temperature range, indicating the absence of structural degradation. Therefore, the slight enhancement of qm value at higher temperatures was attributed to an increased availability of accessible superficial binding sites.
The thermodynamic parameters ΔG0, ΔH0, and ΔS0 for Pb2+ adsorption onto PDH were determined by applying the Gibbs and van’t Hoff equations to the Langmuir constants obtained at each temperature (Table 6). Prior to these calculations, the Langmuir equilibrium constants (KL), originally expressed in L mg−1, were converted to L mol −1 to ensure compatibility with thermodynamic formalism. Moreover, the Langmuir constants were converted into dimensionless constants by multiplying KL by the standard concentration C° = 1 mol L−1. The van’t Hoff plot showed a good linear correlation (Figure 11), suggesting that the enthalpy did not change over the studied temperature range. The resulting ΔH0 value (−31 kJ mol−1) confirmed the exothermic nature of Pb2+ adsorption onto PDH. The magnitude of ΔH0, being well below the commonly accepted |40 kJ mol−1| threshold, as well as the ΔG0 values, suggested a predominant physisorption mechanism [79,80,81].
Figure 11. Plot of lnKL vs. −1/RT for the calculation of thermodynamic parameters ΔH0 and ΔS0 for the Pb2+ ions adsorption onto PDH at pH = 5.0, in NaNO3 0.1 mol L−1, in the temperature range 284.15–303.15 K, by using the van’t Hoff equation.

3.5. Breakthrough Adsorption Curves

Fixed-bed column experiments were carried out at different experimental conditions (see Section 2). The breakthrough data ct/c0 vs. t were analyzed by nonlinear regression using the Logistic, the Gompertz, and the Log-Gompertz models. The experimental data together with the fit curves obtained with the three models are reported in Figure 12 and in Figures S4 and S5 of the Supplementary Materials. The parameter values of the models and the breakthrough times at ct/c0 = 0.5 (BT0.5) are reported in Table S3 of Supplementary Materials.
Figure 12. Breakthrough curves of logistic (dot line), Gompertz (dashed line), and Log-Gompertz (continuous line) models for the Pb2+ ions adsorption on PDH in aqueous solution at pH = 5.0, T = 293.15 K, c0 = 5 mg L−1, and flow rate 3.25 mL min−1.
In all the column experiments, Pb2+ ions were initially adsorbed by PDH. As the adsorbent approached saturation, the breakthrough curves asymptotically approached unity. The typical nearly symmetric sigmoidal profile (S-shaped) of the breakthrough curve obtained in water was not observed when the Pb2+ solution contained background salts. Indeed, in both the ionic media, the profile was asymmetric or characterized by a gradually increasing curve depending on the electrolyte composition.
The Gompertz model was the best breakthrough model in terms of experimental data fit, except for the data in NaCl 0.1 mol L−1, for which the Log-Gompertz model showed the highest adj. R2 value (see Table S3).
The empirical nature of the models does not allow using their parameters in the evaluation of breakthrough curves. However, the comparative parameter BT0.5, i.e., the breakthrough time at which ct/c0 = 0.5, can be calculated.
The highest BT0.5 value was observed in the absence of an ionic medium. The addition of background salt at a concentration of 0.1 mol L−1 reduced the BT0.5 value in a similar way and for the same reasons seen for the qm parameter of the batch adsorption isotherm (see Figure 13), confirming that the adsorption behavior of PDH particles under equilibrium and dynamic, non-equilibrium conditions is comparable.
Figure 13. qm and BT0.5 values in pure water, in NaNO3 0.1 mol L−1, and in NaCl 0.1 mol L−1.

3.6. Recycle and Reuse Experiments

Decontamination process costs can be significantly reduced when the adsorbent material is reusable. For this reason, recycle experiments in a column have been carried out, monitoring the adsorption performance of PDH particles after four adsorption/desorption cycles (see Section 2). The trend of adsorption and desorption qe values in the four cycles is reported in Figure 14. After the first cycle, PDH underwent a slight decrease in adsorption capacity (~13%) and maintained the same qe value also in the third cycle. A further slight worsening was registered in the fourth cycle (~9%). The adsorption trend highlighted a good reusability of the adsorbent, whose performance, in terms of reusability, is in line with that of other biomasses [27]. In each cycle, the qe of adsorption and desorption reached the same values within the experimental uncertainties. The complete Pb2+ desorption in each adsorption/desorption cycle is a further indication that Pb2+ adsorption can be mainly considered a physisorption process.
Figure 14. qe values of adsorption/desorption cycles of Pb2+ ions (V = 15 mL, cPb2+ = 65 mg L−1) on PDH particles (19.9 mg). Experimental conditions: pH = 5.0, T = 293.15 K, extractant solution: 15 mL of HCl 0.1 mol L−1.

3.7. Cost-Effectiveness and Environmental Impact of the Adsorbent

Adsorption onto biomass is considered one of the most suitable and eco-friendly procedures for wastewater decontamination. However, the adsorption performance of biomass is often improved through chemical or physical modifications (e.g., pyrolysis, acid or alkaline treatments, magnetization) or multi-step preparation routes [82]. While effective, these treatments can considerably increase production costs, energy demand, and environmental impact [83], making it essential to carefully evaluate each preparation step when developing low-cost adsorbents [84].
A preliminary laboratory-scale cost assessment was performed to estimate the production cost of 1 kg of PDH, encompassing raw material collection, washing, mechanical treatment, drying, and grinding [85]. The total estimated cost was €1.62 kg−1 (Table S4, Supplementary Materials), with deionized water (€0.60 kg−1) and oven drying (€0.58 kg−1) as the principal cost contributors. The adoption of solar drying as an initial dehydration step significantly reduced both energy consumption and associated costs. Electricity costs were calculated at €0.17 kWh−1, based on the current average rate for non-domestic supply in Italy [86]. Furthermore, the demonstrated reusability of the adsorbent for at least two adsorption cycles (see Section 3.6) could reduce the overall production cost by approximately 50%, further enhancing the economic feasibility of the material.
Direct comparison of PDH production costs with literature data remains challenging, as reported values are highly dependent on the reagents employed, the processing steps considered, and local electricity prices [87]. Nevertheless, available data provide a useful benchmark. Alsulaili et al. [88] reported laboratory-scale production costs of $0.48–0.75 kg−1 for several agricultural waste-derived adsorbents, while more extensively processed materials from similar precursors, such as activated carbons, reached $8.67 kg−1. Within this comparative framework, and accounting for its reusability, the estimated production cost of PDH falls within the range reported for biomass-based adsorbents.
A more informative comparison can be drawn with bergamot pomace (BP), a similar lignocellulosic by-product previously investigated by our research group [84] under analogous preparation conditions. The laboratory-scale production cost of BP was estimated at € 14.76 kg−1, approximately nine times higher than that of PDH. The main cost drivers for BP were the large volumes of deionized water required for washing and the energy-intensive drying process. In contrast, the PDH protocol was optimized by replacing the initial deionized water washes with tap water, reserving deionized water for the final rinse only, and by introducing a preliminary solar drying step prior to oven drying.
The suitability of PDH is further supported by the origin of the raw material. Indeed, Prunus dulcis hull is a by-product of the agri-food industry of the Mediterranean area and is available in abundance. Moreover, the production protocol of PDH does not contain chemical reagents and, in general, hazardous substances, thereby reducing the environmental burden associated with treatment and disposal.

4. Conclusions

The Prunus dulcis hull furnished by the local agri-food industry has been tested as an adsorbent material for Pb2+ ions. The adsorption equilibrium was reached within ~700 min with a well-defined kinetic of adsorption, well defined by the PFO model. The poor linearity of data fit obtained with the Weber–Morris kinetic model does not completely exclude diffusion phenomena, although other interaction processes related to a physisorption mechanism predominate. The affinity and the adsorption capacity of PDH towards Pb2+ ions depend on the pH, the ionic medium, and the temperature, as well as on the presence of organic ligands possibly present in the aqueous solution to be treated. The differences in the adsorption behavior of PDH were explained in terms of (i) shielding effect and competition of the ions coming from the background dissociation, (ii) acid-base properties of functional groups of PDH, and (iii) chemical speciation of Pb2+ ions. The outcomes of characterization experiments suggest the involvement of aromatic moieties and polyphenols in the biomass interaction with Pb2+ ions. The adsorption isotherms were well described by the Langmuir equation. The highest affinity was found at pH = 5.0, I → 0 mol L−1 and T = 284.15 K (KL = 1.4 L mg−1) whilst the maximum adsorption capacity was found in solutions containing Cys (qm = 101 mg g−1). The adsorption process was spontaneous and exothermic. The magnitude of ΔG0 and ΔH0 suggested a physisorption mechanism. The adsorption behavior of PDH under equilibrium (batch experiments) and non-equilibrium conditions (column experiments) was comparable. The adsorption capacity of PDH after four adsorption–desorption cycles decreases by only 22%, which denotes excellent reusability. Thanks to the easy preparation, PDH is a cost-effective adsorbent and has no impact on the environment.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/molecules31132311/s1, Table S1: Stepwise acidic constants of PDH assuming two, three and four sites; Figure S1: Adsorption isotherms of Pb2+ onto PDH particles from aqueous solution at pH = 5.0, in NaNO3 0.1 mol L−1, in the temperature range 284.15–303.15 K; Figure S2: Adsorption isotherms of Pb2+ onto PDH particles from aqueous solution at pH = 5.0 containing MA 0.5 mmol L−1 (a), Ac 0.5 mmol L−1 (b), and Cys 0.5 mmol L−1 (c), at T = 293.15 K; Figure S3: Distribution diagrams of Pb2+ species vs pH at I → 0 mol L−1 and at T = 298.15 K for Pb–Ac (a) and Pb–Cys (b) systems; Table S2: Literature data of Pb2+ ions adsorption onto adsorbents derived from by-products of almond production; Figure S4: Breakthrough curve of Pb2+ adsorption onto PDH (90 mg) in NaNO3 0.1 mol L−1 at pH = 5.0, T = 293.15 K, c0 = 5 mg L−1 and flowrate 3.25 mL min−1; Figure S5: Breakthrough curve of Pb2+ adsorption onto PDH (90 mg) in NaCl 0.1 mol L−1 at pH = 5.0, T = 293.15 K, c0 = 5 mg L−1 and flowrate 3.25 mL min−1; Table S3: Logistic, Gompertz and Log-Gompertz model parameters and BT0.5 values for the Pb2+ ions adsorption onto PDH (90 mg) from aqueous solution at pH = 5.0, without ionic medium, in NaNO3 0.1 mol L−1 and in NaCl 0.1 mol L−1, at T = 293.15 K, c0 = 5 mg L−1 and with a flow rate 3.25 mL min−1; Table S4: Cost estimation for the lab-scale production of 1 kg of PDH.

Author Contributions

Conceptualization, D.L., S.G.M.R., P.L.M., N.M., G.L., and A.P.; methodology, A.P.; validation, P.L.M., G.L., A.M., and A.P.; formal analysis, D.L., S.C., S.G.M.R., P.L.M., M.T., M.M.-C., and A.P.; investigation, D.L., S.G.M.R., P.L.M., N.M., S.C., G.L., A.M., and A.P.; data curation, D.L., S.G.M.R., P.L.M., N.M., S.C., G.L., M.T., J.L.B., and A.P.; writing—original draft preparation, D.L., S.G.M.R., P.L.M., N.M., G.L., and A.P.; writing—review and editing, A.P.; visualization, D.L., J.L.B., M.M.-C., and A.P.; supervision, A.P. All authors have read and agreed to the published version of the manuscript.

Funding

The authors acknowledge the project support from Next Generation EU, Missione 4, Componente 1, CUP: B53D23013740006—PRIN_2022HYH95P. The authors are also grateful for the support of the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4—Call for tender No. 3138 of 16 December 2021, rectified by Decree n.3175 of 18 December 2021 of Italian Ministry of University and Research funded by the European Union—NextGeneration EU; Project code CN_00000033, Concession Decree No. 1034 of 17 June 2022 adopted by the Italian Ministry of University and Research, CUP B73C22000790001, Project title “National Biodiversity Future Center—NBFC”.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Materials. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Segers, B.; Nimmegeers, P.; Spiller, M.; Tofani, G.; Jasiukaitytė-Grojzdek, E.; Dace, E.; Kikas, T.; Marchetti, J.M.; Rajić, M.; Yildiz, G.; et al. Lignocellulosic biomass valorisation: A review of feedstocks, processes and potential value chains and their implications for the decision-making process. RSC Sustain. 2024, 2, 3730–3749. [Google Scholar] [CrossRef] [Scilit]
  2. Osman, A.I.; Lai, Z.Y.; Farghali, M.; Yiin, C.L.; Elgarahy, A.M.; Hammad, A.; Ihara, I.; Al-Fatesh, A.S.; Rooney, D.W.; Yap, P.-S. Optimizing biomass pathways to bioenergy and biochar application in electricity generation, biodiesel production, and biohydrogen production. Environ. Chem. Lett. 2023, 21, 2639–2705. [Google Scholar] [CrossRef] [Scilit]
  3. Tiwari, S.K.; Bystrzejewski, M.; De Adhikari, A.; Huczko, A.; Wang, N. Methods for the conversion of biomass waste into value-added carbon nanomaterials: Recent progress and applications. Prog. Energy Combust. Sci. 2022, 92, 101023. [Google Scholar] [CrossRef] [Scilit]
  4. Reshmy, R.; Thomas, D.; Philip, E.; Paul, S.A.; Madhavan, A.; Sindhu, R.; Sirohi, R.; Varjani, S.; Pugazhendhi, A.; Pandey, A.; et al. Bioplastic Production from Renewable Lignocellulosic Feedstocks: A Review. Rev. Environ. Sci. Biotechnol. 2021, 20, 167–187. [Google Scholar] [CrossRef] [Scilit]
  5. De Jong, W.; Van Ommen, J.R. Biomass as a Sustainable Energy Source for the Future: Fundamentals of Conversion Processes; Wiley: Hoboken, NJ, USA, 2015. [Google Scholar]
  6. Amalina, F.; Razak, A.S.A.; Krishnan, S.; Sulaiman, H.; Zularisam, A.W.; Nasrullah, M. Biochar production techniques utilizing biomass waste-derived materials and environmental applications—A review. J. Hazard. Mater. Adv. 2022, 7, 100134. [Google Scholar] [CrossRef] [Scilit]
  7. Gayathiri, M.; Pulingam, T.; Lee, K.T.; Sudesh, K. Activated carbon from biomass waste precursors: Factors affecting production and adsorption mechanism. Chemosphere 2022, 294, 133764. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  8. Rorrer, N.A.; Vardon, D.R.; Dorgan, J.R.; Gjersing, E.J.; Beckham, G.T. Biomass-derived monomers for performance-differentiated fiber reinforced polymer composites. Green Chem. 2017, 19, 2812–2825. [Google Scholar] [CrossRef] [Scilit]
  9. Mujtaba, M.; Fernandes Fraceto, L.; Fazeli, M.; Mukherjee, S.; Savassa, S.M.; Araujo de Medeiros, G.; do Espírito Santo Pereira, A.; Mancini, S.D.; Lipponen, J.; Vilaplana, F. Lignocellulosic biomass from agricultural waste to the circular economy: A review with focus on biofuels, biocomposites and bioplastics. J. Clean. Prod. 2023, 402, 136815. [Google Scholar] [CrossRef] [Scilit]
  10. Hashmi, Z.; Jatoi, A.S.; Nadeem, S.; Anjum, A.; Imam, S.M.; Jangda, H. Comparative analysis of conventional to biomass-derived adsorbent for wastewater treatment: A review. Biomass Convers. Biorefinery 2024, 14, 45–76. [Google Scholar] [CrossRef] [Scilit]
  11. Mo, J.; Yang, Q.; Zhang, N.; Zhang, W.; Zheng, Y.; Zhang, Z. A review on agro-industrial waste (AIW) derived adsorbents for water and wastewater treatment. J. Environ. Manag. 2018, 227, 395–405. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  12. Karić, N.; Maia, A.S.; Teodorović, A.; Atanasova, N.; Langergraber, G.; Crini, G.; Ribeiro, A.R.L.; Đolić, M. Bio-waste valorisation: Agricultural wastes as biosorbents for removal of (in)organic pollutants in wastewater treatment. Chem. Eng. J. Adv. 2022, 9, 100239. [Google Scholar] [CrossRef] [Scilit]
  13. Chakhtouna, H.; Benzeid, H.; Zari, N.; Qaiss, A.E.K.; Bouhfid, R. Recent advances in eco-friendly composites derived from lignocellulosic biomass for wastewater treatment. Biomass Convers. Biorefinery 2024, 14, 12085–12111. [Google Scholar] [CrossRef] [Scilit]
  14. Mnasri-Ghnimi, S.; Frini-Srasra, N. Removal of heavy metals from aqueous solutions by adsorption using single and mixed pillared clays. Appl. Clay Sci. 2019, 179, 105151. [Google Scholar] [CrossRef] [Scilit]
  15. Crompton, T.R. Toxicants in Aqueous Ecosystem; Springer: Heidelberg, Germany; New York, NY, USA, 2007. [Google Scholar] [CrossRef] [Scilit]
  16. Gidlow, D.A. Lead toxicity. Occup. Med. 2015, 65, 348–356. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  17. Raj, K.; Das, A.P. Lead pollution: Impact on environment and human health and approach for a sustainable solution. Environ. Chem. Ecotoxicol. 2023, 5, 79–85. [Google Scholar] [CrossRef] [Scilit]
  18. Sustainable Development Goals United Nations. Available online: https://sdgs.un.org/2030agenda (accessed on 10 March 2025).
  19. Chai, W.S.; Cheun, J.Y.; Kumar, P.S.; Mubashir, M.; Majeed, Z.; Banat, F.; Ho, S.-H.; Show, P.L. A review on conventional and novel materials towards heavy metal adsorption in wastewater treatment application. J. Clean. Prod. 2021, 296, 126589. [Google Scholar] [CrossRef] [Scilit]
  20. Ronda, A.; Martín-Lara, M.A.; Dionisio, E.; Blázquez, G.; Calero, M. Effect of lead in biosorption of copper by almond shell. J. Taiwan Inst. Chem. Eng. 2013, 44, 466–473. [Google Scholar] [CrossRef] [Scilit]
  21. Crini, G.; Lichtfouse, E. Advantages and disadvantages of techniques used for wastewater treatment. Environ. Chem. Lett. 2019, 17, 145–155. [Google Scholar] [CrossRef] [Scilit]
  22. Ahmad, F.A. The use of agro-waste-based adsorbents as sustainable, renewable, and low-cost alternatives for the removal of ibuprofen and carbamazepine from water. Heliyon 2023, 9, e16449. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  23. Nasseh, N.; Taghavi, L.; Barikbin, B.; Khodadadi, M. Advantage of almond green hull over its resultant ash for chromium(VI) removal from aqueous solutions. Int. J. Environ. Sci. Technol. 2017, 14, 251–262. [Google Scholar] [CrossRef] [Scilit]
  24. Tee, G.T.; Gok, X.Y.; Yong, W.F. Adsorption of pollutants in wastewater via biosorbents, nanoparticles and magnetic biosorbents: A review. Environ. Res. 2022, 212, 113248. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  25. Singh, S.; Kumar, V.; Datta, S.; Dhanjal, D.S.; Sharma, K.; Samuel, J.; Singh, J. Current advancement and future prospect of biosorbents for bioremediation. Sci. Total Environ. 2020, 709, 135895. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  26. Cataldo, S.; Gianguzza, A.; Milea, D.; Muratore, N.; Pettignano, A.; Sammartano, S. A critical approach to the toxic metal ion removal by hazelnut and almond shells. Environ. Sci. Pollut. Res. 2018, 25, 4238–4253. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  27. Lascari, D.; Meo, P.L.; Geraci, G.; Brutto, R.L.; Raccuia, S.G.M.; Muratore, N.; Cataldo, S.; Lando, G.; Madonia, E.; Tolazzi, M.; et al. Insight into the adsorption of Pb2+ ions onto Opuntia ficus indica cladodes. J. Environ. Chem. Eng. 2025, 13, 118686. [Google Scholar] [CrossRef] [Scilit]
  28. Recalde, A.; de Evan, T.; Fernández, C.; Roldán, R.A.; López-Feria, S.; Carro, M.D. Chemical Composition and Nutritive Value of Almond Hulls from Two Almond Varieties and Influence of Including Almond Hulls in the Diet on In Vitro Ruminal Fermentation and Methane Production. Vet. Sci. 2024, 11, 242. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  29. Huang, G.; Lapsley, K. Almonds. In Integrated Processing Technologies for Food and Agricultural By-Products; Academic Press: Cambridge, MA, USA, 2019; pp. 373–390. [Google Scholar] [CrossRef] [Scilit]
  30. Saura-Calixto, F.; Cañellas, J.; Soler, L. Dietary fibre and components of the nitrogen-free extract of almond kernels. J. Sci. Food Agric. 1983, 34, 1419–1422. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  31. Kahlaoui, M.; Bertolino, M.; Barbosa-Pereira, L.; Ben Haj Kbaier, H.; Bouzouita, N.; Zeppa, G. Almond Hull as a Functional Ingredient of Bread: Effects on Physico-Chemical, Nutritional, and Consumer Acceptability Properties. Foods 2022, 11, 777. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  32. Salgado-Ramos, M.; Martí-Quijal, F.J.; Huertas-Alonso, A.J.; Sánchez-Verdú, M.P.; Barba, F.J.; Moreno, A. Almond hull biomass: Preliminary characterization and development of two alternative valorization routes by applying innovative and sustainable technologies. Ind. Crops Prod. 2022, 179, 114697. [Google Scholar] [CrossRef] [Scilit]
  33. FAOSTAT. FAOSTAT Database; FAO: Rome, Italy, 2025; Available online: https://www.fao.org/faostat/en/#home (accessed on 30 July 2025).
  34. INC International Nut and Dried Fruit Nuts and Dried Fruits Statistical Yearbook 2019/2020. 2019. Available online: https://inc.nutfruit.org/wp-content/uploads/2021/09/1594640174_INC_Statistical_Yearbook_2019-2020.pdf (accessed on 10 December 2025).
  35. Fabroni, S.; Trovato, A.; Ballistreri, G.; Tortorelli, S.A.; Foti, P.; Romeo, F.V.; Rapisarda, P. Almond [Prunus dulcis (Mill.) DA Webb] Processing Residual Hull as a New Source of Bioactive Compounds: Phytochemical Composition, Radical Scavenging and Antimicrobial Activities of Extracts from Italian Cultivars (‘Tuono’, ‘Pizzuta’, ‘Romana’). Molecules 2023, 28, 605. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  36. Caltagirone, C.; Peano, C.; Sottile, F. Post-harvest Industrial Processes of Almond (Prunus dulcis L. Mill) in Sicily Influence the Nutraceutical Properties of By-Products at Harvest and During Storage. Front. Nutr. 2021, 8, 659378. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  37. Mehrasbi, M.R.; Farahmandkia, Z.; Taghibeigloo, B.; Taromi, A. Adsorption of Lead and Cadmium from Aqueous Solution by Using Almond Shells. Water Air Soil Pollut. 2009, 199, 343–351. [Google Scholar] [CrossRef] [Scilit]
  38. Pehlivan, E.; Altun, T.; Cetin, S.; Iqbal Bhanger, M. Lead sorption by waste biomass of hazelnut and almond shell. J. Hazard. Mater. 2009, 167, 1203–1208. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  39. Ahmadpour, A.; Tahmasbi, M.; Bastami, T.R.; Besharati, J.A. Rapid removal of cobalt ion from aqueous solutions by almond green hull. J. Hazard. Mater. 2009, 166, 925–930. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  40. Nasseh, N.; Nasseh, I.; Khodadadi, M.; Beirami, A.; Kamranifar, M. The Removal of Lead from Aqueous Solution Using Almond Green Hull (Prunus amygdalus-Fascionello) Waste Material Magnetized with Fe3O4. Ann. Mil. Health Sci. Res. 2017, 15, e66336. [Google Scholar] [CrossRef] [Scilit]
  41. Shaikhiev, I.G.; Kraysman, N.V.; Sverguzova, S.V. Review of Almond (Prunus Dulcis) Shell Use to Remove Pollutants from Aquatic Environments. Biointerface Res. Appl. Chem. 2021, 11, 14866–14880. [Google Scholar] [CrossRef] [Scilit]
  42. Jiao, Y.; Han, D.; Lu, Y.; Rong, Y.; Fang, L.; Liu, Y.; Han, R. Characterization of Pine-Sawdust Pyrolytic Char Activated by Phosphoric Acid through Microwave Irradiation and Adsorption Property toward CDNB in Batch Mode. Desalin. Water Treat. 2017, 77, 247–255. [Google Scholar] [CrossRef] [Scilit]
  43. Lyklema, J. Nomenclature, Symbols, Definitions and Measurements for Electrified Interfaces in Aqueous Dispersions of Solids (Recommendations 1991). Pure Appl. Chem. 1991, 63, 895–906. [Google Scholar] [CrossRef] [Scilit]
  44. Gutierrez-Martinez, J.; Martinez-Vargas, D.R.; Vences-Alvarez, E.; Arjona-Jaime, P.; López-Cázares, M.I.; Rios-Saldaña, L.E.; Isaacs-Páez, E.D.; Quijano-Meza, M.; Rocha-Medina, C.; Rangel-Mendez, R. Point of Zero Charge, Isoelectric Point, and Potential of Zero Charge on Activated Carbons: A Comprehensive Interpretation about Their Interrelation. Curr. Opin. Solid State Mater. Sci. 2026, 40, 101247. [Google Scholar] [CrossRef] [Scilit]
  45. Lagergren, S.K. About the theory of so-called adsorption of soluble substances. K. Sven. Vetenskapsakademiens Handl. 1898, 24, 1–39. [Google Scholar]
  46. Wingenfelder, U.; Hansen, C.; Furrer, G.; Schulin, R. Removal of Heavy Metals from Mine Waters by Natural Zeolites. Environ. Sci. Technol. 2005, 39, 4606–4613. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  47. Weber, W.J.; Morris, J.C. Kinetics of Adsorption on Carbon from Solution. J. Sanit. Eng. Div. 1963, 89, 31–59. [Google Scholar] [CrossRef] [Scilit]
  48. Freundlich, H. Über die adsorption in lösungen. Z. Für Phys. Chem. 1907, 57, 385–470. [Google Scholar] [CrossRef] [Scilit]
  49. Langmuir, I. The adsorption of gases on plane surfaces of glass, mica and platinum. J. Am. Chem. Soc. 1918, 40, 1361–1403. [Google Scholar] [CrossRef] [Scilit]
  50. Liu, Y. Is the Free Energy Change of Adsorption Correctly Calculated? J. Chem. Eng. Data 2009, 54, 1981–1985. [Google Scholar] [CrossRef] [Scilit]
  51. Juela, D.; Vera, M.; Cruzat, C.; Alvarez, X.; Vanegas, E. Mathematical modeling and numerical simulation of sulfamethoxazole adsorption onto sugarcane bagasse in a fixed-bed column. Chemosphere 2021, 280, 130687. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  52. Hu, Q.; Zhang, Z. Comment on “Exponential and logistic functions: The two faces of the Bohart–Adams model”. J. Hazard. Mater. 2020, 394, 122508. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  53. Hu, Q.; Yang, X.; Huang, L.; Li, Y.; Hao, L.; Pei, Q.; Pei, X. A critical review of breakthrough models with analytical solutions in a fixed-bed column. J. Water Process Eng. 2024, 59, 105065. [Google Scholar] [CrossRef] [Scilit]
  54. De Stefano, C.; Mineo, P.; Rigano, C.; Sammartano, S. Ionic strength dependence of formation constants. XVII. The calculation of equilibrium concentrations and formation constants. Ann. Chim. 1993, 83, 243–277. [Google Scholar]
  55. Raccuia, S.G.M.; Zanda, E.; Bretti, C.; Formica, M.; Macedi, E.; Melchior, A.; Tolazzi, M.; Sanadar, M.; Lascari, D.; De Luca, G.; et al. Multi-Analytical Approach for the Acid-Base, Thermal and Surface Properties Assessment of Waste Biomasses. Molecules 2024, 29, 5735. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  56. Pagnanelli, F.; Mainelli, S.; Vegliò, F.; Toro, L. Heavy metal removal by olive pomace: Biosorbent characterisation and equilibrium modelling. Chem. Eng. Sci. 2003, 58, 4709–4717. [Google Scholar] [CrossRef] [Scilit]
  57. Huang, J.; Fu, S.; Gan, L. Lignin Chemistry and Applications; Elsevier: Amsterdam, The Netherlands, 2019. [Google Scholar] [CrossRef] [Scilit]
  58. Scappaticci, C.; Foschi, M.; Plaku, A.; Biancolillo, A.; D’Archivio, A.A. Enhancing Traceability of Italian Almonds through IR Spectroscopy and Chemometric Classifiers. Appl. Sci. 2023, 13, 12765. [Google Scholar] [CrossRef] [Scilit]
  59. Soria, R.I.; Rolfe, S.A.; Betancourth, M.P.; Thornton, S.F. The relationship between properties of plant-based biochars and sorption of Cd(II), Pb(II) and Zn(II) in soil model systems. Heliyon 2020, 6, e05388. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  60. Krysa, M.; Szymańska-Chargot, M.; Zdunek, A. FT-IR and FT-Raman fingerprints of flavonoids—A review. Food Chem. 2022, 393, 133430. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  61. Espina, A.; Sanchez-Cortes, S.; Jurašeková, Z. Vibrational Study (Raman, SERS, and IR) of Plant Gallnut Polyphenols Related to the Fabrication of Iron Gall Inks. Molecules 2022, 27, 279. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  62. Sammons, R.J.; Harper, D.P.; Labbe, N.; Bozell, J.J.; Elder, T.; Rials, T.G. Characterization of Organosolv Lignins using Thermal and FT-IR Spectroscopic Analysis. BioResources 2013, 8, 2752–2767. [Google Scholar] [CrossRef] [Scilit]
  63. Skreiberg, A.; Skreiberg, Ø.; Sandquist, J.; Sørum, L. TGA and macro-TGA characterisation of biomass fuels and fuel mixtures. Fuel 2011, 90, 2182–2197. [Google Scholar] [CrossRef] [Scilit]
  64. Allouch, M.; Alami, M.; Boukhlifi, F. Kinetic and energy study of thermal degradation of biomass materials under oxidative atmosphere using TGA, DTA and DSC. J. Multidiscip. Eng. Sci. Technol. 2014, 1, 74–78. [Google Scholar]
  65. Demirbaş, A. Fuel Characteristics of Olive Husk and Walnut, Hazelnut, Sunflower, and Almond Shells. Energy Sources 2002, 24, 215–221. [Google Scholar] [CrossRef] [Scilit]
  66. Luo, Y.; Millero, F.J. Stability constants for the formation of lead chloride complexes as a function of temperature and ionic strength. Geochim. Cosmochim. Acta 2007, 71, 326–334. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  67. Chu, K.H.; Hashim, M.A.; Zawawi, M.H.; Bollinger, J.-C. The Weber–Morris model in water contaminant adsorption: Shattering long-standing misconceptions. J. Environ. Chem. Eng. 2025, 13, 117266. [Google Scholar] [CrossRef] [Scilit]
  68. Zhao, P.; Huang, Z.; Ma, Q.; Zhang, B.; Wang, P. Artificial humic acid synthesized from food wastes: An efficient and recyclable adsorbent of Pb (II) and Cd (II) from aqueous solution. Environ. Technol. Innov. 2022, 27, 102399. [Google Scholar] [CrossRef] [Scilit]
  69. Fuentes, D.P.; Porto, L.E.O.; Petri, D.F.S.; Oliveira, P.V. Effective and reusable microcrystalline cellulose beads for adsorption of lead from water. Environ. Sci. Pollut. Res. 2025, 32, 18090–18106. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  70. Haynes, W.M. Hazardous Substances Data Bank (HSDB): 810. Available online: https://pubchem.ncbi.nlm.nih.gov/source/hsdb/810 (accessed on 11 March 2026).
  71. Crea, F.; Falcone, G.; Foti, C.; Giuffrè, O.; Materazzi, S. Thermodynamic data for Pb2+ and Zn2+ sequestration by biologically important S-donor ligands, at different temperatures and ionic strengths. New J. Chem. 2014, 38, 3973–3983. [Google Scholar] [CrossRef] [Scilit]
  72. Martell, A.E.; Smith, R.M. Other Organic Ligands; Springer US: Boston, MA, USA, 1977. [Google Scholar] [CrossRef] [Scilit]
  73. Castellino, L.; Alladio, E.; Bertinetti, S.; Lando, G.; De Stefano, C.; Blasco, S.; García-España, E.; Gama, S.; Berto, S.; Milea, D. PyES–An open-source software for the computation of solution and precipitation equilibria. Chemom. Intell. Lab. Syst. 2023, 239, 104860. [Google Scholar] [CrossRef] [Scilit]
  74. Yang, Z.; Liu, Y.; Wang, E.; Yin, W.; Wang, Y.; Guo, Y.; Zhang, W.; Qi, H. Insights into the highly selective and efficient adsorption of Pb2+ by fish skin collagen-enabled sodium alginate-based composite gel spheres: Adsorption and interference mechanisms. Food Hydrocoll. 2026, 170, 111700. [Google Scholar] [CrossRef] [Scilit]
  75. Bulut, Y.; Tez, Z. Adsorption studies on ground shells of hazelnut and almond. J. Hazard. Mater. 2007, 149, 35–41. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  76. Cataldo, S.; Chiodo, V.; Crea, F.; Maisano, S.; Milea, D.; Pettignano, A. Biochar from byproduct to high value added material—A new adsorbent for toxic metal ions removal from aqueous solutions. J. Mol. Liq. 2018, 271, 481–489. [Google Scholar] [CrossRef] [Scilit]
  77. Joseph, L.; Jun, B.-M.; Flora, J.R.V.; Park, C.M.; Yoon, Y. Removal of heavy metals from water sources in the developing world using low-cost materials: A review. Chemosphere 2019, 229, 142–159. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  78. Zamora-Ledezma, C.; Negrete-Bolagay, D.; Figueroa, F.; Zamora-Ledezma, E.; Ni, M.; Alexis, F.; Guerrero, V.H. Heavy metal water pollution: A fresh look about hazards, novel and conventional remediation methods. Environ. Technol. Innov. 2021, 22, 101504. [Google Scholar] [CrossRef] [Scilit]
  79. Tran, H.N.; You, S.-J.; Chao, H.-P. Thermodynamic parameters of cadmium adsorption onto orange peel calculated from various methods: A comparison study. J. Environ. Chem. Eng. 2016, 4, 2671–2682. [Google Scholar] [CrossRef] [Scilit]
  80. Gereli, G.; Seki, Y.; Murat Kuşoğlu, İ.; Yurdakoç, K. Equilibrium and kinetics for the sorption of promethazine hydrochloride onto K10 montmorillonite. J. Colloid Interface Sci. 2006, 299, 155–162. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  81. Liu, Y.; Liu, Y.-J. Biosorption isotherms, kinetics and thermodynamics. Sep. Purif. Technol. 2008, 61, 229–242. [Google Scholar] [CrossRef] [Scilit]
  82. Liu, G.; Dai, Z.; Liu, X.; Dahlgren, R.A.; Xu, J. Modification of agricultural wastes to improve sorption capacities for pollutant removal from water–A review. Carbon Res. 2022, 1, 24. [Google Scholar] [CrossRef] [Scilit]
  83. Pundlik, R.C.; Chowdhury, S.D.; Dash, R.R.; Bhunia, P. Life-Cycle Assessment of Agricultural Waste-Based and Biomass-Based Adsorbents. In Biomass, Biofuels, Biochemicals; Elsevier: Amsterdam, The Netherlands, 2021; pp. 669–695. [Google Scholar] [CrossRef] [Scilit]
  84. Raccuia, S.G.M.; Zanda, E.; Bretti, C.; Formica, M.; Macedi, E.; Melchior, A.; Tolazzi, M.; Pettignano, A.; Muratore, N.; Lascari, D.; et al. Sustainable recovery of rare earth elements from aqueous media using fruit pomaces: Adsorption performance, thermodynamics, and environmental assessment. J. Ind. Eng. Chem. 2026, 156, 623–638. [Google Scholar] [CrossRef] [Scilit]
  85. Ighalo, J.O.; Omoarukhe, F.O.; Ojukwu, V.E.; Iwuozor, K.O.; Igwegbe, C.A. Cost of adsorbent preparation and usage in wastewater treatment: A review. Clean. Chem. Eng. 2022, 3, 100042. [Google Scholar] [CrossRef] [Scilit]
  86. ARERA Relazione Annuale Sullo Stato dei Servizi e Sull’attività Svolta nel Corso del 2024. 2025. Available online: https://www.astrid-online.it/static/upload/arer/arera_sintesi_relazione_annuale_2025_16giu.pdf?utm_source=chatgpt.com (accessed on 11 November 2025).
  87. GadelHak, Y.; El-Azazy, M.; Shibl, M.F.; Mahmoud, R.K. Cost estimation of synthesis and utilization of nano-adsorbents on the laboratory and industrial scales: A detailed review. Sci. Total Environ. 2023, 875, 162629. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  88. Alsulaili, A.; Elsayed, K.; Refaie, A. Utilization of agriculture waste materials as sustainable adsorbents for heavy metal removal: A comprehensive review. J. Eng. Res. 2024, 12, 691–703. [Google Scholar] [CrossRef] [Scilit]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.