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Article

Innovative Recovery of Winemaking Waste for Effective Lead Removal from Wastewater

by
Gabriela Ungureanu
1,
Antoanela Patras
1,*,
Irina Gabriela Cara
2,
Rodica Sturza
3 and
Aliona Ghendov-Mosanu
3
1
Faculty of Horticulture, “Ion Ionescu de la Brad” Iasi University of Life Sciences, 3 Mihail Sadoveanu Alley, 700490 Iasi, Romania
2
Research Institute for Agriculture and Environment, “Ion Ionescu de la Brad” Iasi University of Life Sciences, 9 Mihail Sadoveanu Alley, 700789 Iasi, Romania
3
Faculty of Food Technology, Technical University of Moldova, 9/9 Studentilor Str., MD-2045 Chisinau, Moldova
*
Author to whom correspondence should be addressed.
Submission received: 13 February 2022 / Revised: 22 February 2022 / Accepted: 25 February 2022 / Published: 28 February 2022
(This article belongs to the Topic Bioactives and Ingredients from Agri-Food Wastes)

Abstract

:
Every year, important quantities of winemaking waste create problems for wine producers. These problems arise from the difficulty of disposing of grape marc, which can pollute the environment and affect nearby agricultural crops. The present research proposes a new direction for the valorization of this agri-food waste in residual water depollution. Four biomaterials obtained from winemaking waste were tested for Pb removal: raw Merlot grape marc (MR), raw Sauvignon Blanc grape marc (SbR), Merlot grape marc biorefined (ME) and Sauvignon Blanc grape marc biorefined (SbE). The effects of biosorbent mass and initial Pb concentration, adsorption kinetic, equilibrium isotherms and the matrix influence from a mine effluent were assessed. Very good perspectives for the practical application in lead uptake from wastewaters arise, with better results for biorefined grape marc compared to raw material. The lead removal percentage from an initial solution containing 20 mg Pb/L, at optimum pH (5.5 ± 0.5) was 71%—MR, 78%—SbR, 80%—ME, and 97%—SbE. A Langmuir model revealed a very good removal capacity for ME (40 mg/g) and SbE (64 mg/g). Thus, the grape marc, a polluting waste, can turn into a low-cost and easy-to-prepare sorbent for the bioremediation of contaminated water.

1. Introduction

For both soil and water, the agricultural industry together with food and beverage manufacturing are high-polluting industries, generating large quantities of wastes with a high organic load and easy microbiological contamination. The transport, treatment, and storage of these wastes inevitably lead to a price increase of the final product. The valorization of these agri-food industrial wastes represents a very good opportunity to develop new useful bioproducts in the frame of a circular bioeconomy and sustainable waste utilization. Possible directions of valorization are the production of biofuel, compost, or animal feed [1,2]. However, the waste biomass resulting from fruit and vegetable processing industry possesses large quantities of fibers and bioactive ingredients as polyphenols, vitamins, enzymes, oils, and carotenoids, which require reconsideration of the strategy of using this food waste. The phytochemicals present in this residual biomass can be valorized in nutritional supplements, natural food additives, and innovative functional foods through the extraction of natural antioxidants, antimicrobial substances, flavors, dyes, and texturizers [3]. However, these extractions lead to a series of completely depleted residues, which could be further valorized. Landfilling or incineration of these wastes only worsens the pollution problem, even if at first glance they may seem to be fast, low-priced solutions. In recent years, studies explored the possibility of using agri-food industrial wastes, which are easily available all over the world, as biosorbents with different applications. Adsorption represents a low-cost, highly efficient procedure, with possible metal recovery and adsorbent regeneration and minimum sludge production. Wastes from fruit and vegetable processing industries were investigated for removal of several harmful contaminants from wastewaters. Thus, attempts were made to solve pollution challenges by finding solutions that are as cheap and as environmentally friendly as possible.
Ample previous research investigated compounds which could be extracted from agri-food wastes [4,5,6]. Here, the extraction processes are described in detail, ample characterizations of the obtained extracts are presented, and possible practical applications of these compounds are indicated. The winemaking wastes can be valorized by the extraction of many bioactive compounds and their use in functional foods, playing the role of natural dyes (anthocyanins from red grapes), antioxidants (phenolic compounds), and antimicrobial agents which extend the shelf-life of the products (most of the phenolics), etc. In the present research, after the extraction of these valuable, water-soluble compounds (in order to valorize them by one of the mentioned methods), the remaining material is proposed to be used as adsorbent for Pb removal from polluted water. If this research will lead to good results in the Pb depollution of wastewater, then this waste (the grape marc) will have found its complete use and no part of it will be thrown away. Thus, the concept “zero waste” will be reached in this case and the wine industry will have an opportunity to become the source of two important products: wine and a new Pb removal material. The further development of this idea may bring three benefits: environmental (depollution); economical (financial profit from the commercialization of the new Pb removing material); and health (valorization of the extracted bioactive water-soluble compounds in food supplements, functional foods, or other health-promoting products).
Actually, the biomass precursor as feedstock for biosorbents production is diverse, beginning with fruits [7,8,9], vegetables [10,11], or by-products resulting from numerous industrial agri-food processes [12,13]. Also, biosorbents have been used as such, or different types of pre-treatments have been applied [14] in order to increase their capacity to retain contaminants. Recent studies have gone even further and transformed these biosorbents into biochar [15] or activated carbon [16,17] by various methods, but these processes increase the price of the adsorbent, especially in the case of activated carbon.
The present research investigates the performance of an eco-friendly adsorbent derived from grape marc, in raw form or after the extraction of water-soluble compounds (biorefined), for the adsorptive removal of a heavy metal (lead) from contaminated effluents. Heavy metals are found in nature (soil, water, or wastewaters), coming from natural sources or human activities (mining, industry, agriculture). However, independently of their source, heavy metals have an extremely high level of toxicity to living organisms, especially if they: are in cationic form and associated with a carbon chain; are extremely easily absorbed by living organisms, and have extraordinary levels of bioaccumulation, causing serious health problems. In particular, lead is a tremendously toxic contaminant, resulting from the production of lead-acid batteries, paints, pigments, glass, chemicals, or from the pesticides industry and it has very serious implications for human health such as memory loss, headaches, gastrointestinal diseases, injuries of the central nervous system, and kidney complications [18]. The aim of the present study is (i) preparation of grape marc derived biosorbents; and (ii) batch mode experiments to test their Pb removal capacities (by finding the optimum pH conditions, the best liquid–solid ratio, and the influence of the initial adsorbent dosage, as well as the effect of initial pollutant concentration and the time required to reach equilibrium). The assays are conducted with synthetic effluents simulating lead contaminated wastewater but a real effluent is also tested. To the best of our knowledge, the grape marc is studied for the first time as heavy metal adsorbent for environmental bioremediation.

2. Materials and Methods

2.1. Chemicals

A stock solution of 1000 mg/L Pb2+ was prepared by the dissolution of Pb(NO3)2 (Merck, analytical grade) in distilled water. The lead solutions used in the subsequent biosorption tests were prepared by appropriate dilution of the stock solution. The pH was adjusted to the required values using HNO3 and NaOH aqueous solutions, prepared from HNO3 65% (Chemicals) and NaOH 1N standard solution (Chemicals). All the solutions were prepared in distilled water.

2.2. Glassware Preparation

All of the glassware and the plastic materials used in experimental tests were washed by soaking for 24 h in HNO3 20% solution, rinsed with distilled water, and then dried.

2.3. Biosorbent Preparation and Characterization

The grape marc material is the winemaking waste resulted from Merlot and Sauvignon Blanc varieties, and it was provided by the Research and Development Station for Viticulture and Winemaking, Iasi, Romania. The sorbents MR (raw Merlot grape marc) and SbR (raw Sauvignon Blanc grape marc) were represented by the mentioned grape marc, convective dried at 45 °C, up to 9% moisture. A constant-temperature drying oven Biobase, BOV-T30C (Jinan, China) was used. The sorbents ME (Merlot grape marc after biorefining) and SbE (Sauvignon Blanc grape marc after biorefining) were obtained from MR and SbR, respectively, after the removal of the water-soluble compounds, following a four-step procedure:
(1)
A quantity of 4 g of dry marc with 9% moisture were exactly weighted with a 4-decimal analytical balance and introduced in an Erlenmeyer flask with 500 mL distilled water. The extraction was performed for 40 min, at room temperature, using an ultrasonic bath (MRC, model AC-120H, Essex, UK), ultrasonic frequency 40 kHz, followed by filtration.
(2)
The entire solid residue resulted after the filtration was carefully collected and introduced in an Erlenmeyer flask and 500 mL distilled water was added. The previous extraction procedure was repeated for 40 min, and it was again followed by filtration.
(3)
The solid residue resulted after the second filtration was collected and extracted again in the presence of 500 mL distilled water, but only for 20 min, followed by filtration.
(4)
The solid residue resulting from the previous step was collected, 500 mL distilled water was added and the 20 min extraction was repeated, followed by filtration. The solid material collected from the filter paper after the fourth extraction was convective dried at 45 °C, up to 9% moisture (similar to the raw material) and represented the ME and SbE sorbents, respectively.
The ratio between dried marc and the total volume of distilled water used during the four steps was 2:1000 (g/mL). During the four extractions, the average temperature of the water of the ultrasonic bath was 27 ± 2 °C.
The four biosorbents obtained from grape marc were characterized by the FTIR spectroscopy (Fourier transform infrared spectroscopy) for the qualitative evaluation of functional groups on the material surface. A Jasco 4000 Series (Japan) FT-IR spectrometer was used to obtain the infrared spectra recorded in a range of 400 to 4000 cm−1. Without being mixed with other substances, the samples of dried biosorbents were ground and directly applied on a diamond reflection attenuated total reflectance (ATR) device. Careful cleaning of the crystal was performed prior to each analysis with ultrapure water and isopropanol.

2.4. Adsorption Studies

2.4.1. Heavy Metal Quantification

Atomic adsorption spectrometry, AAS (spectrophotometer ContrAA 700, Analytik Jena, Jena, Germany) was used to determine the initial and the remaining lead concentration in the supernatant after contact time. Analyses were completed using air/acetylene (99.95% purity) flame with triplicate readings, 217 nm wavelength, automatically through software background correction. Calibration curves were performed before each analysis in a range of 0–20 mg/L or 0–100 mg/L (depending on the concentration of the samples to be analyzed), with a determination coefficient of R2 > 0.995. The detection limit was 0.04 mg/L and the quantification limit was 0.15 mg/L. Before AAS analysis, the samples were filtered using cellulose acetate membrane filters (45 µm porosity). The same technique was applied to determine the metal content of the Rosia Montana mining effluent.

2.4.2. Batch-Mode Biosorption Studies

Different tests were performed in order to establish the most appropriate conditions for Pb removal using grape-marc derived materials. All adsorption tests were realized in 100 mL Erlenmeyer flasks containing 25 mL lead solution and the grape marc sorbent (4-decimals weighed). The assays were conducted under constant orbital rotation of 120 rpm at 22 ± 1 °C. The pH was maintained constant with an acceptable variation of ±0.5. After each adsorption test, the lead remaining in the solution was measured (AAS) and the adsorption capacity of the sorbent was evaluated.
The adsorption capacity at equilibrium (qe, mg/g) represented the Pb quantity (mg) retained by the grape marc, per mass unit of the adsorbent (g) at equilibrium, and it was calculated by the Equation (1):
q e = C i n C f m   V
where Cin is the initial Pb concentration in the liquid phase (mg/L), Cf is the concentration after adsorption (mg/L), m is the sorbent mass (g), and V is the solution volume (L).
The removal efficiency (% removal) was calculated by Equation (2):
%   removal = C i n C f C i n   100

pH Test

For the determination of the optimum pH for Pb removal by grape marc, three pH values (2, 3.5, and 5.5) were tested. The assay conditions were: 6 h contact time, 20 mg/L Pb2+ initial concentration, and 1 g/L adsorbent amount. The 20 mg/L Pb2+ concentration was chosen due to the fact that this value is close to the Pb concentration in the wastewater released by lead battery manufacturing or recycling industries [19]. During the experiment, the pH was measured and adjusted with HNO3 or NaOH solutions (if necessary) so that the variation did not exceed ±0.5 units compared to the defined value.

Adsorbent Concentration Assay

After defining the ideal pH condition, the assays continued with the determination of the optimal adsorbent dosage. The tests were performed similarly (6 h of orbital shaking at 120 rpm in Erlenmeyer flasks containing 25 mL of 20 mg/L lead solution at pH 5.5 ± 0.5). The tested concentrations were: 0.25, 0.5, 1, 2, 5, and 10 g/L of synthetic contaminated water.

Biosorption Kinetics

Kinetics evaluates how fast the biosorption process occurs. Thus, the effect of different contact times, between 5 to 480 min, on lead adsorption was evaluated. For each reaction time previously established, an Erlenmeyer flask with 25 mL of 20 mg/L lead solution and 0.5 g/L adsorbent was stirred. The lead concentration in liquid phase was determined and pseudo-first order and pseudo-second order models were fitted to experimental data.

Biosorption Equilibrium Isotherms

Equilibrium isotherms for Pb2+ uptake by ME and SbE were performed at pH 5.5 ± 0.5, using 0.5 g/L adsorbent. Erlenmeyer flasks with 25 mL Pb2+ solutions with initial concentrations 7.5, 25, 50, 70, 85, and 100 mg/L were stirred at 120 rpm for 6 h. Following the analysis of the results obtained in the kinetics study, the reaction time of 6 h was used to guarantee the achievement of equilibrium for each concentration, given that this time far exceeded the time required to reach equilibrium.

2.4.3. Mine Drainage Wastewater Assay

The lead uptake capacity of the studied biosorbents was also tested in the presence of other ions, using a real effluent with a complex matrix. The real wastewater sample was collected in Rosia Montana, a gold and silver mine that is located in Transylvania—Romania where mining activity took place for over two thousand years. Presently, the mine is disabled. The sampling point was in the mine proximity and the drainage water presented a strong reddish color. A physicochemical characterization of the mining-drainage water was completed. The experimental conditions applied for this aqueous matrix were identical to those used for the synthetic lead solutions.

2.5. Statistical Analysis

Mathematical modeling of the experimental data obtained was performed by non-linear regression adjustments with CurveExpert software. The global uncertainty of each result represented by the error bars was considered the maximum error involved in the calculation of the adsorbed amount, q.

3. Results and Discussion

3.1. Characterization of the Sorbents by FTIR Analysis

For the evaluation of the possible binding sites and adsorption mechanism, it is important to identify the functional groups present on the surface of the biosorbents. The spectra of the four sorbents (Figure 1, Figure 2, Figure 3 and Figure 4) indicates the existence of functional groups which are typically found in grape marc (–OH, –CO, –CH, and C–O–H) due to the presence of lignin, cellulose and hemicellulose, and phenolic compounds.
The bands between ≈3311 to 3009 cm−1 correspond to OH-(phenols, and cellulose alcohols) [20,21]. The peaks at ≈2900–2850 cm−1 match –CH asymmetric stretching of alkane [8], methyl-methylene [16], or aliphatic groups [22]. The distinctive peaks at ≈1740–1745 cm−1 are due to carboxylic groups indicating the presence of phenolic acids [20] and the peaks at ≈1605 cm−1 (–CO) are typical spectra for polysaccharides, and for cellulose and hemicellulose [23]. The bands around 1420–1200 cm−1 correspond to flavonoids (possible based tannins) and the peaks at ≈1030 cm−1 are characteristic of the presence of phenolic compounds (C–O–H) [20]. All peaks below 990 cm−1 are representative of the presence of aromatic structures [20] or hydrocarbon (–C–H) with great affinity for the capture of heavy metal ions [16]. The spectra attained for each type of grape-marc are quite alike. Although water-soluble compounds were extracted by sequential extraction processes, as can be concluded from the FTIR results, the extraction is not complete because the representative peaks continue to exist in ME and SbE, but with a lower absorbance.
The adsorption mechanisms are various, and they may occasionally occur simultaneously. Chemisorption is one of these mechanisms, and it can be achieved by ion exchange, chelation, complexation, or coordination [24]. The presence of carboxyl, hydroxyl, and ester groups evidenced by FTIR analysis could explain the biosorption mechanism of lead ions onto the grape marc by attraction/chelation between (Pb2+) positive charged and (-COO)/(OH) negative charged, since carboxylic and hydroxyl groups are deprotonated at pH > 4. Lead is known to have a tendency to form coordinate (dative) bonds [25,26].

3.2. Effect of pH on the Pb2+ Removal

The pH level is an important factor to evaluate the retention capacity of an adsorbent on this parameter depending the availability of functional groups of the solid surface to establish chemical bonds and to fix the pollutant ions. Preliminary tests were performed with MR, ME, SbR, and SbE for pH 2, 3.5, and 5.5. All tested biosorbents were shown to be effective for Pb2+ removal, but they were strongly affected by the pH (Figure 5).
The pH level was regularly verified during the contact time, and it was adjusted to the required value (maximum variation permitted was ±0.5 units) by small additions of base or acid solutions. As Pb precipitation easily occurs for pH levels higher than 6.0 (especially for concentrated solutions) and since real effluents, contaminated with lead, present an acidic pH, either mining wastewater [27] or industrial polluted waters from lead battery manufacturing or recycling industries [19,28], the pH effect was studied only in the interval between 2 and 5.5. The results represented in Figure 5 indicate that the pH augmentation leads to an increase in Pb uptake from extremely low values for pH 2, up to 97% for pH 5.5 (SbE). This can be explained by the fact that at extremely low pH values, lead is present as cation (Pb2+) and the protons (H+) compete with lead ions to occupy the available positions on the biosorbent surface, greatly limiting the adsorption of lead. Additionally, Figure 5 shows that depleted forms of grape marc, for both Merlot (ME) and for Sauvignon Blanc (SbE), retain better Pb2+ than the raw materials.
The results revealed by the pH tests were used to select the better parameters for the following part of the study. Consequently, the pH 5.5 and the biosorbents which proved to have the best removal potential at this pH (ME and SbE—which are the biorefined forms of both grape marc varieties) were selected.

3.3. Effect of Adsorbent Concentration on the Pb2+ Removal

The effect of adsorbent concentration was studied for 0.25, 0.5, 1, 2, 5 and 10 g refined grape marc/L of contaminated water, respectively. The obtained results were expressed as a percentage of removal efficiency and adsorption capacity (Figure 6).
Concerning the removal efficiency: with the exception of ME—0.5 g/L, all results indicate a lead uptake percentage between 80 and 100%, which corresponds to adsorption capacities from 64.7 ± 2.4 mg/g for solid/liquid ratio of 0.25 g/L to 1.75 ± 0.01 mg/g for 10 g/L for ME and 70.34 ± 3.06 mg/g for solid/liquid ratio of 0.25 g/L to 1.989 ± 0.004 mg/g for 10 g/L for SbE, respectively. Although the highest value of the adsorption capacity is attained for a biosorbent amount of 0.25 g/L (equivalent to 0.0065 mg biosorbent in 25 mL of lead solution), the use of this biosorbent amount for the following experiments could generate errors. For this reason, a dosage of 0.50 g/L biosorbent was selected to be used in further assays.

3.4. Adsorption Kinetic Studies

Biosorption kinetics of Pb2+ on ME and SbE was studied at pH 5.5 (optimum pH condition) and the samples were collected at pre-established contact times between 5 to 480 min. Figure 7 depicts the effect of contact time (t) on the normalized concentration (C/Cin) decay of lead in the liquid phase.
Lead adsorption is a fast process, as can be seen in Figure 7. In the first 30 min, ME 60% of the maximum Pb2+ adsorbed amount was already achieved and 35% for SbE. For both biosorbents, the time necessary to reach the equilibrium is slightly over 2 h. Similar results have been reported in the literature for other biosorbents applied to remove lead from aqueous solutions [29,30]. This expeditious equilibrium time represents an advantage from an operational point of view in case of its practical application. The experimental data were mathematically adjusted by Lagergren (1898) pseudo-first-order (Equation (3)) and pseudo-second order models (Equation (4)) [31].
q = q e   ( 1 e k 1   t )
q = q e k 2 q e   2   t   1 + k 2 q e t
where q (mg/g) is the biosorbed amount for a contact time t (min); qe (mg/g) is the biosorbed amount at equilibrium; and k1 (min−1) and k2 (g mg−1 min−1) are the kinetic constants of the models. Both models were fitted to the experimental data by non-linear regression adjustments and the results are presented in Table 1.
A pseudo-second order model better describes the results with a higher determination coefficient (R2), lower standard error (SE) and with predicted values for the adsorbed amounts at an equilibrium (qe) closer to that of the experimental.

3.5. Equilibrium Studies

It is important to know the maximum retention capacity of a biosorbent and the affinity of the solid to the adsorbate. This information is provided by equilibrium isotherms (Figure 8).
As can be seen, the two isotherms present a high slope for low adsorbate concentrations. This means that both ME and SbE have a great affinity for Pb2+, and they are able to remove considerable amounts of adsorbate even from very low Pb levels. A grape marc concentration of 0.5 g/L was able to remove 86% of lead from an initial low concentration of 7.5 mg/L Pb2+ for both ME and SbE biosorbents. The well-known Langmuir (1918) and Freundlich (1906) equilibrium models were adjusted to the experimental data by non-linear regression. According to the Langmuir model, the surface-active sites are homogeneously dispersed on the surface of the adsorbent and adsorption is restricted to a monolayer coverage. The Freundlich isotherm is entirely empirical, and it is applicable to adsorption processes that occur on heterogonous surfaces. A major disadvantage of the Freundlich equation is that it does not predict an adsorption maximum. The Langmuir model is expressed by Equation (5)
q e = K L Q m a x C e 1 + K L C e
where Qmax signifies the maximum biosorption capacity, Ce is lead concentration on equilibrium, and KL the Langmuir constant.
The Freundlich model is expressed by Equation (6)
q e = K F C e 1 n F
where KF is a constant for the adsorbate–adsorbent system, correlated to the adsorption capacity; and, nF is a constant that shows the intensity of adsorption (nF > 1, favorable isotherm; nF ≤ 1, unfavorable isotherm).
Table 2 describes the determined parameters for both models applied to experimental data. For an appropriate evaluation of fitting quality, regression standard error (SE) and determination coefficient (R2) are also presented, as statistic parameters.
For ME, both mathematical models describe experimental data with equivalent quality. For SbE biosorbent, the Freundlich model better fits the experimental values with lower standard errors and higher determination coefficients. Also, the values obtained for nF are above 1, which indicates favorable isotherms. The Langmuir model indicates maximum adsorption capacities of 40 mg/g for ME and 64 mg/g for SbE, respectively.
Some previous research studied Pb2+ retention using other agri-food industrial wastes and a comparison between our results and bibliographic data is presented in Table 3.
Table 3 confirms that another agri-food industrial waste with a very high lead adsorption capacity (raw sugarcane bagasse) exists, but it was subjected to complex chemical treatments. With the exception of that biosorbent, the others in this category have modest/medium lead retention properties, while the biosorbents tested in the present study have an unexpectedly high affinity for Pb2+ uptake.

3.6. Real Mine Wastewater Characterization and Test Results

For a better evaluation of adsorptive properties of grape marc wastes, a real aqueous matrix was tested: mine drainage water from Rosia Montana. Lead-bearing waters usually contain several other ions that may influence the Pb uptake process. The purpose of this test was to verify the level to which ME and SbE previously tested with synthetic mono-contaminant solution, maintain their lead ion adsorption capacity in the presence of other metals. The characterization of real effluent is presented in Table 4.
As the analysis of the mine effluent showed a very low concentration of lead, it was enriched in this contaminant, by adding Pb(NO3)2 salt up to a concentration of 7.5 mg/L (value identical to the lowest concentration used in equilibrium isotherms assays). This lead concentration was considered more eloquent to prove the Pb2+ removal potential of grape marc biorefined waste in the presence of a complex matrix. Even in the presence of other heavy metals, the removal capacity is still very high, decreasing only from 86% to 75% for ME and to 72% for SbE (Figure 9), respectively.
This is a very good result, considering the complexity of the matrix and the fact that the competition between Pb and Mn/Fe/Zn, which are present in important quantities, could obstruct the Pb removal.

4. Conclusions

Grape marc biorefined waste has proven to be a very good biosorbent for Pb2+ removal. The biosorption is a fast process that is strongly affected by pH. Maximum adsorption capacities, predicted by the Langmuir model for Pb2+ were 40.14 mg/g for ME and 63.76 for SbE, respectively (pH 5.5, 22 °C). Adsorption is an environmentally friendly and effective way of removing harmful pollutants from wastewaters. Further studies are recommended to test the effectiveness of the removal of other heavy metals. Additionally, the very good results obtained in this work allows us to consider this study as a starting point for future tests to improve the adsorptive properties of grape marc by applying thermal or other ecologically attractive and economically sustainable pre-treatments.

Author Contributions

Conceptualization, G.U. and A.P.; methodology, G.U., A.P. and I.G.C.; software, G.U., I.G.C., R.S. and A.G.-M.; formal analysis, G.U. and A.G.-M.; investigation, G.U., A.P., I.G.C. and A.G.-M.; resources, A.P. and R.S.; data curation, G.U.; writing—original draft preparation, G.U.; writing—review and editing, A.P.; supervision, A.P. and R.S.; project administration, A.P. and R.S.; funding acquisition, R.S. and A.P. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by the Project 2SOFT/1.2/83 “Intelligent valorization of agro-food industrial wastes”, funded by the European Union, within the program ”Cross border cooperation Romania—Republic of Moldova 2014–2020”. The funder had no role in the design of the study; in the collection, analysis, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Data Availability Statement

Not applicable.

Acknowledgments

The authors would like to thank the Project AUF-ECO_RI_SRI_2021_20_ USAMVIIBI_ZERODECHET “Horticultural wastes in the benefit of health and environment, a new approach to the ZEROWASTE principle”; the Research and Development Station for Viticulture and Winemaking, Iasi, Romania; Filimon Vasile Razvan; and Baetu Marius Mihai.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. FTIR spectra of raw Merlot grape marc.
Figure 1. FTIR spectra of raw Merlot grape marc.
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Figure 2. FTIR spectra of raw Sauvignon Blanc grape marc.
Figure 2. FTIR spectra of raw Sauvignon Blanc grape marc.
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Figure 3. FTIR spectra of Merlot grape marc after biorefining.
Figure 3. FTIR spectra of Merlot grape marc after biorefining.
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Figure 4. FTIR spectra of Sauvignon Blanc grape marc after biorefining.
Figure 4. FTIR spectra of Sauvignon Blanc grape marc after biorefining.
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Figure 5. Removal efficiency of Pb2+ by MR, ME, SbR, and SbE at different pH, 20 mg/L Pb2+ solution, 1 g/L adsorbent concentration, 22 °C.
Figure 5. Removal efficiency of Pb2+ by MR, ME, SbR, and SbE at different pH, 20 mg/L Pb2+ solution, 1 g/L adsorbent concentration, 22 °C.
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Figure 6. Adsorption capacity (a) and removal efficiency (b) by ME and SbE at different adsorbent concentrations, 20 mg/L of Pb2+ solution, pH 5.5 ± 0.5, 22 °C.
Figure 6. Adsorption capacity (a) and removal efficiency (b) by ME and SbE at different adsorbent concentrations, 20 mg/L of Pb2+ solution, pH 5.5 ± 0.5, 22 °C.
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Figure 7. Effect of contact time on Pb2+ biosorption on (a) ME and (b) SbE, 20 mg/L Pb2+ solution, pH 5.5 ± 0.5, 0.50 g/L biosorbent, 22 °C: experimental data and modelling ( Pseudo-first order model; Pseudo-second order).
Figure 7. Effect of contact time on Pb2+ biosorption on (a) ME and (b) SbE, 20 mg/L Pb2+ solution, pH 5.5 ± 0.5, 0.50 g/L biosorbent, 22 °C: experimental data and modelling ( Pseudo-first order model; Pseudo-second order).
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Figure 8. Equilibrium isotherms for Pb2+ biosorption on (a) ME and (b) SbE, pH 5.5 ± 0.5, 0.50 g/L biosorbent, 6 h contact time, 22 °C: experimental data and modelling ( Freundlich; Langmuir).
Figure 8. Equilibrium isotherms for Pb2+ biosorption on (a) ME and (b) SbE, pH 5.5 ± 0.5, 0.50 g/L biosorbent, 6 h contact time, 22 °C: experimental data and modelling ( Freundlich; Langmuir).
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Figure 9. Removal efficiency of Pb2+ by ME and SbE from synthetic and real mining enriched (RM) effluent, initial 7.5 mg/L Pb2+ solution, 0.5 g/L adsorbent, 22 °C.
Figure 9. Removal efficiency of Pb2+ by ME and SbE from synthetic and real mining enriched (RM) effluent, initial 7.5 mg/L Pb2+ solution, 0.5 g/L adsorbent, 22 °C.
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Table 1. Parameters obtained from kinetic model fittings (value ± standard error of the coefficient).
Table 1. Parameters obtained from kinetic model fittings (value ± standard error of the coefficient).
Pseudo—1st Order ModelPseudo—2nd Order Model
k1 (min−1)qeq (mg/g)R2SEk2 103 (g mg−1 min−1)qeq (mg/g)R2SE
ME0.07 ± 0.0224.7 ± 1.80.703.890.004 ± 0.00226.5 ± 1.90.783.38
SbE0.031 ± 0.00820.4 ± 1.40.882.340.0019 ± 0.000422.69 ± 1.080.961.32
Table 2. Parameters (value ± standard error of the coefficient) for Langmuir and Freundlich equilibrium models for the biosorption of Pb2+ by ME and SbE (pH 5.5 ± 0.5, 0.50 g/L of biosorbent and 22 °C).
Table 2. Parameters (value ± standard error of the coefficient) for Langmuir and Freundlich equilibrium models for the biosorption of Pb2+ by ME and SbE (pH 5.5 ± 0.5, 0.50 g/L of biosorbent and 22 °C).
Langmuir ModelFreundlich Model
Qmax (mg/g)KL (L/mg)R2SE nFKF (mg/g(mg/L)−1/nF)R2SE
ME40.1 ± 2.40.3 ± 0.10.913.64.5 ± 0.915.5 ± 2.50.933.5
SbE63.75 ± 25.020.03 ± 0.030.717.92.6 ± 0.78.1 ± 3.40.875.3
Table 3. Lead adsorption capacities for several types of various agri-food industrial wastes.
Table 3. Lead adsorption capacities for several types of various agri-food industrial wastes.
BiosorbentAdditional TreatmentsInitial Pb Concentration, mg/LAdsorbent Amount, g/LpHAdsorption Capacity mg/gReferences
Merlot grape marcBiorefinery200.55.540.1Present study
Sauvignon Blanc grape marcBiorefinery200.55.563.8Present study
Peanut huskWashed with HCl and NaOH205627.03[32]
Milled olive stonesUnmodified1460.581[33]
Raw sugarcane bagassePre-treated with NaOH, followed by epoxidation, amination and sulfonation5001.255558.9[34]
Oil tea ShellUnmodified52522.4[35]
Hamimelon peelsNaOH treatment100-77.89[36]
Cabbage LeavesUnmodified501066.31[37]
Table 4. Chemical characterization of Rosia Montana drainage water.
Table 4. Chemical characterization of Rosia Montana drainage water.
ParameterValue
pH2.78
CE (mS/cm)4.16
NO3 (mg/L)98.85
SO42− (mg/L)984
Zn (mg/L)22.5
Cu (mg/L)0.92
Fe (mg/L)116.2
Mn (mg/L)604.6
Ni (µg/L)0.59
Pb (mg/L)0.02
Cd (mg/L)0.04
Cr (mg/L)0.02
Co (mg/L)0.09
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Ungureanu, G.; Patras, A.; Cara, I.G.; Sturza, R.; Ghendov-Mosanu, A. Innovative Recovery of Winemaking Waste for Effective Lead Removal from Wastewater. Agronomy 2022, 12, 604. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy12030604

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Ungureanu G, Patras A, Cara IG, Sturza R, Ghendov-Mosanu A. Innovative Recovery of Winemaking Waste for Effective Lead Removal from Wastewater. Agronomy. 2022; 12(3):604. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy12030604

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Ungureanu, Gabriela, Antoanela Patras, Irina Gabriela Cara, Rodica Sturza, and Aliona Ghendov-Mosanu. 2022. "Innovative Recovery of Winemaking Waste for Effective Lead Removal from Wastewater" Agronomy 12, no. 3: 604. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy12030604

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