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Article

Sorbent Properties of Orange Peel-Based Biochar for Different Pollutants in Water

Heilongjiang Provincial Key Laboratory of Polymeric Composite Materials, College of Materials Science and Engineering, Qiqihar University, No. 42, Wenhua Street, Qiqihar 161006, China
*
Authors to whom correspondence should be addressed.
Processes 2022, 10(5), 856; https://doi.org/10.3390/pr10050856
Submission received: 31 March 2022 / Revised: 19 April 2022 / Accepted: 22 April 2022 / Published: 26 April 2022
(This article belongs to the Special Issue Chemical Engineering and Technology)

Abstract

:
Efficient and reasonable utilization of waste biomass resources can not only avoid serious waste of material resources, but also solve the problem of environmental pollution. Therefore, the development of efficient and environmentally friendly waste biomass carbonization technology has important practical significance. Here, the activated carbon from orange peel (OAC) is prepared by potassium hydroxide (KOH) activation combined with high-temperature carbonization. The adsorption effects of OAC on three different pollutant aqueous solutions, methylene blue (MB), tetracycline (TC), and fluorescein sodium (NaFL), are examined. The OAC absorbent has excellent adsorption capacity for MB, TC, and NaFL pollutants of 10 mg L−1, with adsorption rates of 99.17%, 73.5%, and 94.24%, respectively. This study provides a new idea for turning waste biomass into treasure and eliminating the hidden danger of environmental pollution.

Graphical Abstract

1. Introduction

To meet people’s increasing demands for production and living, all kinds of industries such as paper making, textile, coating, and medical treatment have thrived, which have caused severe environmental pollution while promoting rapid economic development [1]. With the discharge of industrial wastes, pollutants such as toxic dyes and antibiotics directly enter various water sources, which not only destroy the ecological environment of aquatic organisms, but also cause immeasurable harm to human health and ecological systems [2]. Organic dyes not only hinder photosynthesis in aquatic ecosystems, but also cause carcinogenicity and mutagenicity in human bodies [3]. The introduction of methylene blue (MB) into the human body causes many adverse reactions [4]. Ingestion of specific doses of fluorescein sodium (NaFL) may irritate the stomach, and inhalation of luciferin sodium dust may cause respiratory symptoms. As the health care industry develops, the use of antibiotics continues to rise [5]. Tetracycline (TC) is a broad-spectrum antibiotic that inhibits bacterial protein synthesis, which is widely used to treat human diseases and prevent bacterial infections in livestock. Tetracycline can enter the environment through incomplete metabolism in humans or animals. Low concentrations of antibiotics in garbage and manure can spread into water environments and induce bacterial resistance to drugs, causing severe harm to human health and ecosystems [6]. Developing low-cost and efficient adsorbent-adsorbed water pollutants is a major approach in water pollution treatment.
In recent years, numerous studies have been undertaken about biomass carbon adsorbents [7]. Amongst them, biomass carbon prepared by pyrolysis under anaerobic or low oxygen conditions has a porous structure with highly specific surface area and large functional groups such as hydroxyl and carboxyl groups on the surface [8]. The physical and chemical properties of biomass are different due to the various raw materials and pyrolysis processes [9]. As an essential adsorbent with apparent advantages, such as ease of scale-up, high cost-effectiveness, and environmental friendliness, biomass carbon has received increasing attention [10]. In addition, biomass carbon derived from agricultural waste can not only reduce the cost of raw materials, but also carry out efficient recovery and utilization of agricultural waste [11]. A large amount of biomass waste can be used to prepare adsorbents for absorbing pollutants in water. Zhang et al. [12] used the outer skin of mangosteen as a carbon source to prepare activated carbon (AC) with a large specific surface area. The AC showed good adsorption performance for MB, with adsorption capacity up to 871.49 mg g−1. After three cycles, the treatment effect of MB can still reach more than 40%. The mangosteen peel AC has feasible applications for dyes removal. Prusov et al. [13] synthesized flax, shive-based AC through KOH activation and high-temperature pyrolysis, which showed an adsorption capacity of 464.2 mg g−1 for MB. The AC can be as an efficient adsorbent for wastewater purification. Araújo et al. [14] reported that palm endocarp biochar activated by ZnCl2 was used for an adsorbent for MB. The adsorption capacity of MB reached 48~229.9 mg g−1 in the temperature range from 30 to 60 °C. The AC showed a promising MB removal performance. Yağmur et al. [15] reported the magnetic AC made of coconut shell as raw material and activated by ZnCl2, followed by the Fe3+/Fe2+ co-precipitation, gives a maximum adsorption capacity of 156.25 mg g−1 for MB. The low-cost magnetic AC may be used as the MB dye adsorbent. Gu et al. [16] synthesized porous carbon by combining cotton and polyester textile waste with shell as carbon source and obtained AC with a maximum adsorption capacity of 515.17 mg g−1 for TC. The low-cost AC is considered to be an effective adsorbent for TC adsorption. Zheng et al. [17] used sweet potato as biomass carbon source and a hydrothermal method to synthesize biochar for treating TC in wastewater. The maximum adsorption capacity of activated carbon on TC was 238.7 mg g−1. The mesoporous AC is a highly efficient removal reagent of TC.
In this study, the orange peel was used as a carbon source to obtain biomass-activated carbon (OAC) by KOH activation and high-temperature carbonization. The adsorption capacities of OAC to MB, NaFL, and TC were examined.

2. Materials and Methods

2.1. Material Preparation

Tangerine peels are from leaf tangerines purchased in Wal-Mart supermarkets. Potassium hydroxide (GR95%), methylene blue, and sodium fluorescein (≥99.5%) are all purchased from Shanghai Aladdin Biochemical Technology Co., Ltd. (Shanghai, China) Tetracycline (≥99.5%) is supplied from Shanghai Makclin Biochemical Co., Ltd. (Shanghai, China) 10 mg L−1 of MB, NaFL, and TC solutions were prepared in ultrapure water.
The orange peels were washed with plenty of water and dried naturally to remove moisture. The samples were cut into small pieces, placed in a drying oven at 60 °C for 24 h, and then ground in a grinder to obtain the powder. The orange peel powder obtained above was placed in the quartz tube of a tubular furnace. It was first aired by N2 for 20 min, then heated to 400 °C at a heating rate of 2.5 °C min−1, and kept at 400 °C for 2 h under nitrogen atmosphere to obtain orange-peel-activated carbon (named OC).
An appropriate amount of OC powder was dissolved into KOH solutions with different concentrations of 6 mol L−1, 7 mol L−1, and 9 mol L−1, respectively, and stirred for 6 h. The solution was then treated by ultrasonic at 80 °C for 2 h. The collected powder after filtration was placed in a drying oven at 60 °C and kept for 24 h. Nitrogen was introduced into the tubular furnace over 20 min to ensure the air was empty thoroughly. The samples were heated to 800 °C under a nitrogen atmosphere at 5 °C min−1 and kept at 800 °C for a period of 1 h. The pH value of these three samples was adjusted to 7 with 2 mol L−1 HCl. After drying at 60 °C for 24 h, the dried samples were denoted as OAC−6, OAC−7, and OAC−9, respectively, corresponding to the activation concentration of KOH.

2.2. Characterization of Adsorbents

The microstructure of all the samples was investigated with scanning electron microscopy (SEM, JSM-7410F, Tokyo, Japan, JEOL). Phases in the adsorbents were identified by X-ray diffraction (XRD, D8, Germany BRUKER-AXS). An N2 desorption test was used to determine the specific surface area and pore size structure of the samples (BET, ASAP2020, Norcross, GA, USA, American Micromeritics Instrument Corporation). A Fourier transform infrared spectrometer was used to analyze the functional groups on the sample surface (FT-IR, Spectrum, PerkinElmer, Waltham, MA, USA). The chemical composition of the material surface was measured by X-ray photoelectron spectroscopy (XPS ESCALAB250Xi, Thermo Fisher Scientific, Waltham, MA, USA). The absorbance of pollutant aqueous solution was measured by ultraviolet spectrophotometer (UV-Vis-NIR, Lambda 750, PerkinElmer, Waltham, MA, USA). The absorption wavelengths of the three pollutant aqueous solutions are MB (664 nm), TC (360 nm), and NaFL (493 nm), respectively.

2.3. Adsorption Capacity Analysis

In this study, the adsorption equilibrium of three different types of pollutants, MB, TC and NaFL, was determined by porous carbon materials. The sample usage amount was 0.2 g, the volume of polluted water was 20 mL, and the pollutant concentration was 10 mg L−1. The removal rate (R) (%) of the pollutants in the equilibrium state can be calculated by the following formula:
R ( % ) = ( C 0   C t ) C 0   ×   100
Among them, C0 (mg g−1) is the initial concentration and Ct (mg g−1) is the concentration of the solution at a given time.

2.4. Adsorption Kinetic Model

The sample has been tested for adsorption kinetics. In the kinetic test, the adsorption capacity can be calculated by the following formula:
q t = ( C 0 C t ) V W
Among them, qt (μg g−1) is the adsorption amount of the sample to the pollutants. C0 (μg L−1) is the initial concentration; Ct (μg L−1) is the concentration of the solution at a given time t. V (L) is the volume of the solution. W (g) is the mass of the sample.
The adsorption kinetics of activated carbon is usually simulated by pseudo-first [18] and pseudo-second [19] kinetic models.
The pseudo-first order adsorption kinetic equation is as follows:
ln ( q e q t ) = ln ( q e ) k 1 t
Among them, qe is the amount of adsorption at equilibrium (μg g−1), qt is the amount of adsorption at any moment (μg g−1), and k1 is the adsorption rate constant of the pseudo-first order kinetic equation (L min−1).
The pseudo-second order adsorption kinetic equation is:
t q t = 1 k 2 q e 2 + t q e
Among them, k2 is the adsorption rate constant of the pseudo-second order kinetic equation [g (mg min−1)].

3. Results and Discussion

3.1. Characterization of Absorbents

The microstructures of OC, OAC−6, OAC−7, and OAC−9 were characterized using SEM analysis, as shown in Figure 1. As shown in Figure 1a, the surface of OC initially carbonized at 400 °C was relatively smooth, only showing the tubular channels of orange peel itself, and the pore size was large, which was not conducive to the adsorption of pollutants in water. After carbonization at 800 °C, the pore distribution on the OAC surface increases with KOH concentration. After carbonization at 800 °C, the pore distribution on the OAC surface increases with the increase of KOH concentration, as shown in Figure 1b–d. After 9M KOH treatment, the surface of OAC−9 has the most abundant pore structure.
The crystal types of OC, OAC−6, OAC−7, and OAC−9 were tested by XRD. It can be seen in Figure 2 that the XRD patterns of the four materials are seriously broadened, indicating that all the samples have poor crystallinity and are primarily amorphous. The two broad peaks at 26° and 44° correspond to the (002) and (100) characteristic crystal planes of graphite, respectively, indicating that the four materials have been initially graphitized. The diffraction peak intensity of OAC−6, OAC−7, and OAC−9 is significantly stronger than that of OC, indicating that the higher temperature carbonization treatment can improve the graphitization degree of samples.
Figure 3 shows the N2 adsorption/desorption isotherm and the pore-size distribution of the adsorbents, which are summarized in Table 1 in detail. Generally speaking, some substances in the carbon structure evaporate at high temperatures, increasing the specific surface area [20]. KOH and carbon generate K2CO3, which is pyrolyzed at a high temperature to generate carbon dioxide, resulting in pores in the carbon structure and increasing the defects of activated carbon.
The surface molecular structure of the adsorbents was examined by Fourier infrared spectroscopy (FT-IR), as shown in Figure 4. The diffraction peaks of C=O (1565 cm−1), C-O (1043 cm−1), -CH (862 cm−1) O=C-O (1408 cm−1), and -OH (3464 cm−1) make the activated carbon have a certain physical and chemical adsorption capacity [21]. The functional group stretching vibration peak intensity of OAC−9 is stronger than OAC−7 and OAC−6, making the adsorption capacity of OAC−9 stronger than other samples.
X-ray photoelectron spectroscopy (XPS) was used to characterize the elements contained in the adsorbents and the chemical states of the elements (Figure 5). Peaks of C and O were detected in all samples. These adsorbent materials all contain C and O elements. As shown in Figure 5b, the OAC−9 C1s spectrum exhibits four prominent peaks at 284.8, 285.5, 286.3, and 289.3 eV, which can be assigned to C-C, C-OH, C=O, and COOH [22], respectively. The species of reactive oxygen functional groups contained in these adsorbent materials were consistent with FI-TR test results. Figure 5c shows high-resolution O1s spectra of the adsorbents. Two characteristic peaks at 531.3 eV and 532.3 eV are attributed to C-OH and C=O functional groups, respectively. The surface of OAC contains a large number of hydroxyl and carboxyl functional groups, which is beneficial to produce good chemisorption of various polar organic compounds. The XPS element contents of OC, OAC−6, OAC−7, and OAC−9 are summarized in Table 2.

3.2. Adsorption Performance of the Adsorbents

3.2.1. Adsorption Equilibrium

As shown in Figure 6, OAC−9 has the best adsorption effect on the three pollutants. In the MB solution, the adsorption rate of OAC−9 is up to 99.17%. In TC and NaFL solutions, the adsorption rates reach 73.50% and 94.24%, respectively. The reason why OAC-9 has excellent adsorption capacity is mainly due to the large specific surface area of OAC-9, which significantly improves the contact area between OAC−9 and the target pollutant. Moreover, the wealthy oxygen-containing functional groups on the surface of OAC-9 have a synergistic effect on the adsorption of contaminants.

3.2.2. Adsorption Rate

Figure 7 shows the adsorption kinetic properties of OC, OAC−6, OAC−7, and OAC−9 for MB, TC, and NaFL pollutants in water. All the adsorbent samples can achieve fast adsorption of the target substance; the adsorption rate is very fast in the first 20 min and the adsorption equilibrium can be reached within 30 min. By contrast, OAC-9 has the highest adsorption rates of 99.17%, 73.5%, and 94.24% for MB, OC, and FL, respectively.

3.2.3. Adsorption Kinetics

The pseudo-first order and pseudo-second order kinetic models are used to fit the adsorption kinetic data and to compare them, in order to provide insights into the adsorption mechanism. In general, the initial state of the reaction process, especially the initial state of fast adsorption, is more in line with the pseudo-first order kinetic model [18]. However, the pseudo-second order kinetic model is consistent with long-term adsorption with chemical adsorption as a rate-controlled process [19]. Figure 8 shows the simulation results of the first and second order kinetic models for the adsorption of MB, TC, and NaFL by four activated carbon materials. From Figure 8a–c, it can be seen that the actual adsorption data has a high degree of fit with the linear expression of the first-order kinetics. This result is consistent with the results shown in Table 3, indicating that the first-order kinetic model is more in line with the activity carbon adsorption kinetic model.

3.2.4. Regeneration of Adsorbents

The adsorbent should not only have high adsorption capacity, but also have recycling and regeneration capacity. If the adsorbent can be reused under the premise of achieving the desired adsorption effect, the preparation cost of the adsorbent will be significantly reduced. Here, the adsorption cycle experiment of MB was carried out by using OAC−9. Methanol and glacial acetic acid with the volume ratio of 9:1 were used as the eluent for OAC−9 after adsorption. After five times of adsorption and desorption, the adsorption effect of OAC−9 on 10 mg L−1 MB decreased slightly, with a value of 82.34%, which still has a high adsorption efficiency (see Figure 9). The decrease in the adsorption efficiency of OAC−9 may be due to the adsorption of MB by OAC−9. MB molecules block part of the active adsorption sites of the micropores and are a challenge to be eluted by the eluent. In addition, due to the mass loss of OAC−9 during elution, the adsorption effect is reduced. Therefore, the reuse of OAC−9 needs to be further improved [23].

3.2.5. Adsorption Mechanism and Comparison of Adsorption Properties

The most abundant mesoporous structure, graphite crystals, and hydroxyl and carboxyl functional groups of OAC−9 result in high adsorption capability. The pseudo-first order models were well-matched to the adsorption data. For the sake of comparison, the adsorption rates of some biomass-based activated carbon reported in the literature are summarized in Table 4. The adsorption rates of OAC−9 for MB, TC, and NaFL pollutants reach 99.17%, 73.5%, and 94.24%, respectively, which is close to or superior to comparable reported values [23,24,25,26,27,28].

4. Conclusions

The waste biomass resources in the world are extremely rich, but the utilization rate of the waste biomass all over the world is very low, which not only causes the serious waste of biomass resources, but also intensifies the pollution or potential pollution to the environment. Biomass carbonization technology is a new technology of biomass resource utilization. It is of great significance to make full use of waste biomass to treat the pollutants in water to relieve the pressure caused by energy shortages, ecological imbalances, environmental pollution, and other problems.
In this study, a series of activated carbon materials were prepared by using cheap and readily available orange peel as raw material. OAC−9 treated with a high concentration of KOH and high-temperature carbonization has the best adsorption effect on the three target pollutant solutions, 10 mg L−1 of MB, TC, and NaFL. OAC−9 contains many oxygen-containing functional groups (O=C-O, -OH), which makes it have a strong polarity adsorption capacity. The adsorption efficiency of MB, TC, and NaFL reaches 99.17%, 73.5%, and 94.24%, respectively. OAC−9 has a rapid adsorption capacity and can quickly reach adsorption peak and equilibrium within 20–30 min. OAC−9 can be used as an efficient and low-cost activated carbon adsorbent for various dyes and antibiotic contaminants in water.

Author Contributions

Conceptualization, W.Z. and L.F.; methodology, Y.W.; formal analysis, W.Z. and Y.W.; investigation, W.Z. and Y.W.; writing—original draft preparation, W.Z.; writing—review and editing, L.F. and X.L. (Xingmei Liu); visualization, W.C., H.A. and Z.W.; supervision, X.L. (Xijun Liu) and H.J.; project administration, Y.W., L.F. and W.Z.; funding acquisition, Y.W. and W.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Natural Science Foundation of Heilongjiang Province, China (LH2020E127), the Fundamental Research Funds in Heilongjiang Provincial Universities (No. 135309347), and Undergraduate Training Programs for Innovation and Entrepreneurship of Qiqihar University (YJSCX2021038).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data contained within the article and additional materials are available on request from the authors.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. SEM images of (a) OC, (b) OAC-6, (c) OAC-7, and (d) OAC-9.
Figure 1. SEM images of (a) OC, (b) OAC-6, (c) OAC-7, and (d) OAC-9.
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Figure 2. XRD patterns of OC, OAC−6, OAC−7, and OAC−9.
Figure 2. XRD patterns of OC, OAC−6, OAC−7, and OAC−9.
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Figure 3. (a) N2 sorption isotherms and (b) pore size distributions of OC, OAC−6, OAC−7, and OAC−9.
Figure 3. (a) N2 sorption isotherms and (b) pore size distributions of OC, OAC−6, OAC−7, and OAC−9.
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Figure 4. (a) FT-IR spectra of OC, and (b) FT-IR spectra of OAC−6, OAC−7, and OAC−9.
Figure 4. (a) FT-IR spectra of OC, and (b) FT-IR spectra of OAC−6, OAC−7, and OAC−9.
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Figure 5. (a) Full-survey XPS spectra of OC, OAC−6, OAC−7, and OAC−9. High-resolution XPS spectra of (b) C 1s, (c) O 1s for OAC−9.
Figure 5. (a) Full-survey XPS spectra of OC, OAC−6, OAC−7, and OAC−9. High-resolution XPS spectra of (b) C 1s, (c) O 1s for OAC−9.
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Figure 6. Adsorption equilibrium of the adsorbents for 10 mg L−1 of (a) MB, (b) NaFL, and (c) TC for a period of 2 h.
Figure 6. Adsorption equilibrium of the adsorbents for 10 mg L−1 of (a) MB, (b) NaFL, and (c) TC for a period of 2 h.
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Figure 7. Adsorption rates of the adsorbents for 10 mg L−1 of (a) MB, (b) TC, and (c) NaFL.
Figure 7. Adsorption rates of the adsorbents for 10 mg L−1 of (a) MB, (b) TC, and (c) NaFL.
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Figure 8. Adsorption kinetic of the adsorbents for 10 mg L−1 of (a) MB, (b) TC, and (c) NaFL.
Figure 8. Adsorption kinetic of the adsorbents for 10 mg L−1 of (a) MB, (b) TC, and (c) NaFL.
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Figure 9. Reusability study of OAC−9 on MB adsorption.
Figure 9. Reusability study of OAC−9 on MB adsorption.
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Table 1. N2 sorption data and pore size data.
Table 1. N2 sorption data and pore size data.
SampleSpecific Surface Area
(m2 g−1)
Aperture
(nm)
OC0.90147.57
OAC-67.848.61
OAC-7723.683.49
OAC-91046.513.30
Table 2. XPS element content of OC, OAC−6, OAC−7, and OAC−9.
Table 2. XPS element content of OC, OAC−6, OAC−7, and OAC−9.
SampleC (%)O (%)
OC80.8014.54
OAC-687.0510.80
OAC-788.9410.06
OAC-984.7811.32
Table 3. Kinetic parameters of the pseudo-first-order models and pseudo-second-order models for MB, TC, and NaFL adsorption to the carbonaceous materials.
Table 3. Kinetic parameters of the pseudo-first-order models and pseudo-second-order models for MB, TC, and NaFL adsorption to the carbonaceous materials.
OCOAC−6OAC−7OAC−9
MB
 qe (μg g−1)921938943992
 First-order kinetic model
 k1 (min−1)0.1460.1440.1610.160
 R20.9710.9750.9750.976
 Second-order kinetic model
 k2 [g (mg min)−1]1.0521.1000.7910.827
 R20.9390.9440.9440.945
TC
 qe (μg g−1)503576655735
 First-order kinetic model
 k1 (min−1)0.0810.0680.0600.058
 R20.9680.9670.9700.969
Second-order kinetic model
 k2 [g (mg min)−1]2.5004.0205.5946.865
 R20.9350.9350.9410.941
NaFL
 qe (μg g−1)193308404942
First-order kinetic model
 k1 (min−1)0.0800.0920.1090.131
 R20.9420.9520.9570.960
Second-order kinetic model
 k2 [g (mg h)−1]0.9771.1651.0381.490
 R20.9050.9150.9210.925
Table 4. Comparison of adsorption properties of biomass-based activated carbon reported in literature.
Table 4. Comparison of adsorption properties of biomass-based activated carbon reported in literature.
Raw MaterialActivating AgentProcessing
Conditions
Specific
Surface Area
Adsorbed Pollutants and DosageAdsorption TimeAdsorption
Rate (%)
Ref.
Mandarin peelNaOH4 h
105 °C
MB and MO
(1, 3, 5, 10, 30 mg L−1)
180 minMB: 99.77%
MO: 79.87%
[23]
Orange peelZnCl2800 °C1439.50 m2 g−1MB (0, 50, 100, 200, 400, 700, and
1100 mg L−1)
24 h99%[24]
Green pea peelsH2SO430 min
800 °C
316.20
m2 g−1
MB
(50, 100, 150, and 200 mg L−1)
10 h96–89.73%[25]
Jack fruit peelNaOH0.5 h
700 °C
1286.7
m2 g−1
MB
(1000 mg L−1)
25 h80%[26]
Apricot nut shellsH3PO490 min
400 °C
307.6
m2 g−1
TC
(100 mg L−1)
24 h98%[27]
Sugar cane bagasseZnCl2120 min
600 °C
831.23
m2 g−1
TC
(120–240 mg L−1)
20 h96%[28]
Orange peelKOH1 h
800 °C
1046
m2 g−1
MB, TC and NaFL
(10 mg L−1)
30 minMB: 99.17%
TC: 73.5%
NaFL: 94.24%
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Zhang, W.; Wang, Y.; Fan, L.; Liu, X.; Cao, W.; Ai, H.; Wang, Z.; Liu, X.; Jia, H. Sorbent Properties of Orange Peel-Based Biochar for Different Pollutants in Water. Processes 2022, 10, 856. https://doi.org/10.3390/pr10050856

AMA Style

Zhang W, Wang Y, Fan L, Liu X, Cao W, Ai H, Wang Z, Liu X, Jia H. Sorbent Properties of Orange Peel-Based Biochar for Different Pollutants in Water. Processes. 2022; 10(5):856. https://doi.org/10.3390/pr10050856

Chicago/Turabian Style

Zhang, Weichao, Yuwei Wang, Liquan Fan, Xingmei Liu, Weiyan Cao, Honglin Ai, Ziteng Wang, Xijun Liu, and Hongge Jia. 2022. "Sorbent Properties of Orange Peel-Based Biochar for Different Pollutants in Water" Processes 10, no. 5: 856. https://doi.org/10.3390/pr10050856

APA Style

Zhang, W., Wang, Y., Fan, L., Liu, X., Cao, W., Ai, H., Wang, Z., Liu, X., & Jia, H. (2022). Sorbent Properties of Orange Peel-Based Biochar for Different Pollutants in Water. Processes, 10(5), 856. https://doi.org/10.3390/pr10050856

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