Isotherm and kinetic studies of acid yellow 11 dye adsorption from wastewater using pisum sativum peels microporous activated carbon

ABSTRACT In this study, Pea Peels-Activated Carbon (PPAC), a novel biochar, was created from leftover pea peels (_Pisum sativum_) by wet impregnation with ZnCl2 and subsequent heating to

600, 700, and 800 °C in a CO2 atmosphere. Investigated how the newly acquired biochar affected the capacity to extract the AY11 dye from the aqueous solution. Through the use of FTIR, XRD,

SEM, BJH, BET, DSC, EDX, and TGA studies, the prepared PPAC was identified. It was found that a pH of 2 is optimum for the AY11 dye elimination. The highest removal percentage of AY11 dye

was 99.10% using a beginning AY11 dye concentration of 100 mg/L and a 1.0 g/L dose of PPAC. The highest adsorption capacity (_Q__m_) of the PPAC was 515.46 mg/g. Freundlich (FIM), Halsey

(HIM), Langmuir (LIM), Tempkin (TIM), and Gineralize (GIM) isotherm models were useful in examining the adsorption results. A variety of error functions, including the average percent errors

(APE), root mean square errors (RMS), Marquardt's percent standard deviation (MPSD), hybrid error function (HYBRID), Chi-square error (X2) and a sum of absolute errors (EABS)

equations, were also applied to test the isotherm models data. The PPAC experimental data were best suited by the HIM and FIM isotherm models. Elovich (EM), Pseudo-first-order (PFOM),

Intraparticle diffusion (IPDM), Pseudo-second-order (PSOM), and Film diffusion (FDM) models were applied to study the kinetic adsorption results. The PSOM had a strong correlation

coefficient (_R_2 > 0.99), and it was principally responsible for controlling the adsorption rate. Anions are typically absorbed during the adsorption mechanism of AY11 dye by PPAC owing

to attractive electrostatic forces created with an increase in positively charged areas at acidic pH levels. The regenerated PPAC was used in six successive adsorption/desorption cycles.

This study's outcomes show that PPAC successfully removes the AY11 dye from the aqueous solution; as a result, PPAC can be used repeatedly without experiencing considerable loss in

effectiveness. SIMILAR CONTENT BEING VIEWED BY OTHERS ADSORPTIVE REMOVAL OF MALACHITE GREEN DYE FROM AQUEOUS SOLUTION USING _RUMEX ABYSSINICUS_ DERIVED ACTIVATED CARBON Article Open access

07 September 2023 MANDARIN BIOCHAR-TETA (MBT) PREPARED FROM _CITRUS RETICULATA_ PEELS FOR ADSORPTION OF ACID YELLOW 11 DYE FROM WATER Article Open access 22 October 2022 ISOTHERM AND KINETIC

INVESTIGATIONS OF SAWDUST-BASED BIOCHAR MODIFIED BY AMMONIA TO REMOVE METHYLENE BLUE FROM WATER Article Open access 05 August 2023 INTRODUCTION Anxieties about water shortage continue to

grow in some parts of the world with ongoing pollution of present rivers in diverse locations. Chemical materials that place a heavy load on the aquatic environment can be listed as

pesticides1,2,3, drugs4,5, dyes6,7,8,9,10, hydrocarbons11,12, and heavy metals13,14,15,16,17. These chemicals are introduced into the environment through home sewage or sewage from

industrial and hospital facilities18,19. For example, dyes can be easily identified by their color in wastewater. The most common colors used in leather, paint, textile, and other industries

are synthetic dyes20. This pollution harms both the environmental balance and human health because most paints are poisonous, non-biodegradable, and carcinogenic21,22. An average of

(0.7–2.0) × 105 tons of untreated dyestuffs are thought to be released into water bodies each year23. Because they have the most color variation, are the largest, and are the greatest

adaptable of all synthetic dyes, azo dyes take the top spot. When these substances are used excessively, carcinogenic products are created24. There are numerous methods of dye-house effluent

treatment like coagulation/flocculation25, oxidation with chemical26, biological treatment27, advanced oxidations28,29,30,31, electrochemical treatment32, photo-degradation33,34,35,36 and

adsorption treatment6,8,20,37,38. One of these methods with the highest preference is the adsorption method for dye removal using activated carbon39. However, because commercial activated

carbon is expensive to produce and process, researchers are working to develop less expensive adsorbent materials that are just as effective17,40,41,42. For this reason, biochar

manufacturing is becoming increasingly popular as a less costly and environmentally beneficial substitute. Additionally, biochar produced from biomass and waste products reduces the waste of

finite resources. Biochar is defined as carbonaceous solids produced by gasifying or pyrolyzing biomass at temperatures higher than 300 °C under a nitrogen environment43. Several studies

have demonstrated that biochar derived from the thermochemical conversion of waste materials can adsorb contaminants with high efficiency. In their research, Güzel et al.44 discovered that

marketable activated carbon (AC) production activities are typically more costly than biochar production activities. In addition to being inexpensive, biochar has other benefits, including

lowering secondary environmental pollutants, being renewable, and producing adsorbents with a high added value45. Activated carbons (AC) have more surface functional groups, although

biochars have smaller surface areas and pore volumes46,47. Physical and chemical activation procedures were employed to create activated carbons, which were then used in the treatment of

wastewater46,48,49. In the chemical activation techniques used to produce activated carbons, the raw material is either combined with an acid (H2SO4 and H3PO4)50,51,52, an alkali (K2CO3,

KOH, Na2CO3 or NaOH)53, or earth metal salts (ZnCl2 and AlCl3)54,55,56. In the evaluation of physical activation methods, chemical activation proceeds faster and at a lower temperature.

Higher production of AC than those achieved through physical activation is produced as a result of chemical agents' reduction of tar formation and volatile components processing57.

ZnCl2, a chemical dehydrating agent, considerably increase the carbonization potential of biomass and aid in the improvement of the proper pore structure in activated carbon57,58. The

removal of different contaminants by these adsorbents, which are generated by extracting AC from biomass waste materials, has been the subject of numerous research in the literature. Coconut

husk59, gulmohar60, mandarin peels61, sesame hull62, rice straw63, sugarcane bagasse64, olive stone65, potato66, coffee bean husks67, green algae _Ulva lactuca_68, Macore fruit69,

watermelon peels70, orange peels71, wheat straw72, peanut husk73, tea waste74, red algae _Pterocladia capillacea_75, and are some of this biomass. The novelty of this work is attributed to

using chemical activation methods with ZnCl2 (activation reagent) under CO2 gas for the fabrication of activated carbon (PPAC) at different temperatures and investigating its effects on the

AY11 dye removal from water. In this study, AY11 dye was removed from an aqueous solution by _Pisum sativum_ peels AC as an adsorbent. The outer layer of pea seed pods is called pea peel

trash. In general, after peas are taken out of their seedpods, 35–40% of solid waste is produced76. It is a commonly available and affordable lignocellulosic biomass that has the potential

to be employed as a biomass source for the production of _cellulase. P. sativum_, usually referred to as pea, is a cool-season annual plant of the Leguminosae family grown all over the

world77. According to Pathak et al.76, biomass can be employed to adsorb cationic and anionic contaminants from solutions because of the surface charge on pea peel. Because of their simple

production, easy supply, surface functional groups, and effective treatment, pea peel-based activated carbon is utilized in this investigation. Research on activated carbon made from pea

peels for adsorption applications to remove AY11 dye is scarce. The effectiveness of PPAC, prepared via pyrolysis at high temperature under a flow of CO2 gas after activation with wet ZnCl2,

in removing AY11 dye from wastewater was studied. PPAC is produced from low-cost agricultural waste made from pea _Pisum sativum_ peels. The influence of pH, beginning AY11 dye

concentration, PPAC dosage, and interaction time of PPAC and AY11 dye were investigated as removal conditions for AY11 dye from water. To ascertain the organization of adsorption and its

highest adsorption capacity (_Q_m), the adsorption isotherms of the AY11 dye on PPAC as an adsorbent were also investigated. EXPERIMENTAL DETAILS CHEMICALS AND REAGENTS The starting biomass

Pea (_Pisum sativum_) peels applied for the formation of PPAC in this research were obtained from the local pea peels shop located in Alexandria, Egypt. To remove dust, grime, and other

contaminants, these pea peels were repeatedly washed with distilled water (DW), then let to dry in the sun for a week. Consequently, the Pea peels were milled by a high-speed rotating mill

and separated to size < 200 meshes. The collected Pea peel powder was well-kept in a close-fitting enclosure at room temperature for further treatment. KOH and ZnCl2 were bought from

El-Nasr Company, Egypt. HCl (37%) was procured from Sigma-Aldrich, Germany. Acid Yellow 11 (AY11) dye (C.I.18820) (C16H13N4O4SNa) (Mwt = 380.35 g) supplied by Aldrich was used without any

purifications. AY11 dye solution with a concentration of 1000 mg/L was achieved by using 1 g of AY11 dye and 1000 mL of DW. The stock solution was diluted with DW to get the required

concentrations of working solution that were needed. This work used analytic-grade compounds of all types without additional purification77,78. FABRICATION OF PPAC The powder of pea peels

was mixed with ZnCl2 in a 2:1 ratio in DW and the mixture was dried at 105 °C in an oven. In a horizontal tube furnace, a sequentially dried mixture was transferred to an alumina boat and

heated there for 1 h at 600, 700, and 800 °C in the presence of 100 mL/min a flow rate of CO2 gas. After being removed from the furnace, the carbonized material was refluxed in 2N HCl for

two hours to remove any leftover mineral matter before being repeatedly washed with warm DW to reach the neutral pH for filtrate. The remaining material (PPAC) was dried for 24 h at 105 

°C79,80. PPAC CHARACTERIZATION To compute the specific surface area (_S_BET), the total volume of pores, and primary pore size, BET, BJH, MP, and _t_-plot methods were utilized. They were

computed using equipment of BELSORP Mini-II model from BEL Japan utilizing N2 adsorption at 77 K as the adsorption temperature, and 89.62 kPa saturated vapor pressure on the PPAC surface

area per unit mass of the observed samples. The PPAC samples were pre-treated with nitrogen gas flow at 300 °C. The _t_-plot approach was applied to compute the volume of micropores and the

overall volume of pores. The difference between _V_TP and _V_mP calculated the volume of mesopores (_V_MesoP). The average diameter of pores (DAP) was measured by the 4_V_TP/_S_BET ratio.

The functional groups on the PPAC surface were identified using FTIR analysis using a Bruker model Vertex 70 spectrometer attached to a platinum ATR unit, Bruker, Germany examined in a

spectral range of 4000–400 cm–1. Using the SDT650 TA Instrument, thermal studies were carried out between 50 and 900 °C with a 100 mL/min N2 flow. Activated carbons collected for this work

were analyzed for porosity and surface morphology using SEM Quanta 250 FEG equipment with 500 kV HV, 2500–6000 × enlargement, and big Field low vacuum SED (LED)81,82. ADSORPTION EXPERIMENTS

Depending on a preliminary test, the maximum specific surface area of the prepared PPAC (800 °C) was nominated for further evaluation for AY11 dye adsorption capacity via batch equilibrium

investigation. Batch adsorption experiments utilizing AY11 dye solutions with various beginning concentrations were created by diluting the 1000 mg/L feedstock solution with DW. At room

temperature (RT), all adsorption experiments were conducted in a shaking apparatus. 0.1 M NaOH or HCl solutions were used to change the pH values of the solutions. The different solutions

were presented to flasks containing a predefined amount of PPAC at RT (24 ± 2 °C), along with their respective initial concentrations. The impacts of the following variables on the

adsorption of AY11 dye on the PPAC surface were examined: contact period of 0–180 min; pH range of 1–12; dosages of 0.75, 1.0, 1.5, 2.0, and 2.5 g/L of PPAC; and AY11 dye starting

concentrations of 100, 150, 200, 300, and 400 mg/L of feed solution. A spectrophotometer was used to detect the beginning and equilibrium concentrations of the AY11 dye at a wavelength of

λmax 407 nm. At predetermined intervals, the mixture was shaken at 200 rpm, and 0.5 ml of the clear solution was then removed and subjected to UV–Vis absorption spectroscopic analysis. The

experiment was triple-checked, and the reported values are average. The AY11 dye removal percentage (% R) was computed using Eq. (1): $$\%R=\frac{{C}_{0}-{C}_{e}}{{C}_{i}}\times 100$$ (1)

where _C__0_ and _C__e_ are the measured concentrations of AY11 dye (in mg/L) corresponding to the beginning and equilibrium states of removal, respectively. _Q_t (mg/g) is the capacity of

the AY11 dye adsorption at time _t_ (min) on the PPAC can be obtained from Eq. (2): $${Q}_{t}=\frac{\left({C}_{0}-{C}_{t}\right)}{W}\times V$$ (2) where _C_t (mg/L), _W_ (g) and _V_ (L) are

the AY11 dye concentration at time _t_, the weight of PPAC used as adsorbent and the initial volume of feed solution investigated. _Q__e_ (mg/g) is the adsorption capacity for the PPAC at

equilibrium calculated using Eq. (3): $${Q}_{e}=\frac{({C}_{0}-{C}_{e})\times V}{W}$$ (3) After adding PPAC (0.75, 1.0, 1.5, 2.0, and 2.50 g/L), the batch adsorption kinetic studies were

conducted in the identical system with a range of beginning AY11 dye concentrations (100, 150, 200, 300, and 400 mg/L). The residual AY11 dye concentrations were identified at a definite

time interval by spectrophotometer. ISOTHERM MODELS (IMS) INVESTIGATION Experimental results were investigated by five IMs, Langmuir (LIM)83, Freundlich (FIM)84, Tempkin (TIM)85, Generalize

isotherm (GIM)86 and Halsey (HIM)87. The ideal model was chosen using linear regression. The LIM hypothesis proposes that homogenous adsorption takes place on the active sites of the PPAC

surface and that no molecular interactions between the adsorbate would result in the deposition of a single layer on the PPAC surface. The PPAC has maximum restricted adsorption capacity

(_Q_m) and identical active sites. No more adsorption may occur at an active site once the adsorbate occupies it, and adsorbate cannot transmigrate in the PPAC surface plane88. The linear

LIM can be signified in the form of Eq. (4): $$\frac{{C}_{e}}{{Q}_{e}}=\frac{1}{{Q}_{m}\times {K}_{L}}+\frac{{C}_{e}}{{Q}_{m}}$$ (4) where _K__L_ (L/g) is connected to the LIM adsorption

energy constant and _Q__m_ (mg/g) is the maximum adsorption capacity. According to the FIM84, interactions between molecules that have been adsorbed result in the manufacture of

multi-layered adsorption on the adsorbent surface. It is believed that the concentration of adsorbate on the adsorbent surface rises as a function of adsorbate concentration because the FIM

expression is an exponential equation. The FIM can be presented by the linear Eq. (5)6: $$\mathrm{ln}\left({Q}_{e}\right)=\mathrm{ln}\left({K}_{F}\right)+\frac{1}{n}\times

\mathrm{ln}({C}_{e})$$ (5) where _n_ and_ K_F denote FIM constants equivalent to heterogeneity factor and adsorption capacity, respectively. A 1/_n_ ratio less than one implies a normal LIM,

whereas a 1/_n_ value more than one reveals cooperative adsorption. The hypothesis of adsorbate–adsorbate indirect interactions is put forth in the TIM85. According to the TIM theory,

adsorption is categorized by an identical distribution of binding energies up to a maximum binding energy, and as a result of interactions between adsorbents and adsorbates, the heat of

adsorption for every molecule in the layer falls linearly with coverage. TIM can be explained using a simplified linear Eq. (6)88:

$${Q}_{e}=\frac{RT}{b}\mathrm{ln}\left({K}_{T}\right)+\frac{RT}{b}\mathrm{ln}({C}_{e})$$ (6) where _K_T (L/mg) is TIM constant, _R_ (8.314 J/mol K) is the universal gas constant, _b_ (J

g/mol mg) is the energy of adsorption (heat of adsorption) difference factor, and _T_ in _Kelvin_ is the absolute temperature. The GIM explains both multilayer adsorption and the presence of

pore distribution in a heterogeneous form in the adsorbent86. The following form Eq. (7) is where the GIM has frequently been used.

$$\mathrm{log}\left[\frac{{Q}_{m}}{{Q}_{e}}-1\right]=\mathrm{log}{K}_{G}-{N}_{b}\mathrm{log}({C}_{e})$$ (7) where _A_HJ and _B_HJ are isotherms constant, multilayer adsorption heterogeneous

pore distribution. The HIM87 is appropriate for heterosporous solids, and multilayer adsorption89 can be used to match the HIM. The following form Eq. (8) has frequently used the HIM as a

solution: $$\mathrm{ln}\left({Q}_{e}\right)=\left[\left(\frac{1}{{n}_{H}}\right)\mathrm{ln}({K}_{H})\right]+\left(\frac{1}{{n}_{H}}\right)\mathrm{ln}({C}_{e})$$ (8) where _K_H and _n_H are

HIM constants. KINETIC MODELS INVESTIGATION OF AY11 DYE ADSORPTION The adsorption data was then tailored using the previously described kinetic models to reveal the pattern of the kinetics

of adsorption. Equation (9) below describes how Lagergren's pseudo-first-order (PFOM)88,90 is stated. Where _K_1 (g/mg min) is the PFO rate constant.

$$\mathrm{log}\left({Q}_{e}-{Q}_{t}\right)=log{Q}_{e}-\frac{{K}_{1}}{2.303}t$$ (9) The pseudo-second-order model (PSOM)88,91 can be stated as Eq. (10):

$$\frac{t}{{Q}_{t}}=\frac{1}{{K}_{2}{Q}_{e}^{2}}+\frac{t}{{Q}_{e}}$$ (10) where _K_2 (g/mg min) is the PSOM constant. Plotting _t_/_Q_t versus _t_ yields the intercept and slope of the plot,

which were used to calculate the _K__2_ and _Q__e_88. Another kinetic equation based on adsorption capacity is the Elovich kinetic (EM) equation, which is typically stated as Eq. (11)88,92.

$$\frac{{dQ_{t} }}{dt} = \alpha \exp \left( {{-}\beta Q_{t} } \right)$$ (11) where _α_ (mg/g min) is the rate constant of adsorption and _β_ (g/mg) is the constant of desorption throughout

the experiment. It is simplified by supposing _αβt_ >  > _t_ and by removing the boundary conditions _Q_t = 0 at _t_ = 0 and _Q_t = _Q_t at _t_ = _t_ Eq. (11) becomes formed as Eq. 

(12): $${Q}_{t}=\frac{1}{\beta }\mathrm{ln}\left(\propto \beta \right)+\frac{1}{\beta }\mathrm{ln}(t)$$ (12) To be used as an adsorption rate controller, the plot of _Q_tversus ln(_t_) must

produce a linear correlation with a slope of (1/_β_) and an intercept of (1/_β_) × ln(_αβ_). As a result, the constants may be found using the slope and intercept of the straight line. To

fit the adsorption results, the intra-particle diffusion model (IPDM)88,93 was also applied. Equation (13) is a way to express the IPDM: $${Q}_{t}={K}_{dif}{t}^{0.5}+C$$ (13) where _C_

(mg/g) is a constant revealing the boundary layer thickness, and _K_dif (mg/g min0.5) is the intra-particle diffusion rate constant. When the adsorption process is considerably impacted by

the flow of solute molecules from the water phase to the PPAC phase barrier, the liquid film diffusion model (FDM) Eq. (14)88,94 can be used. $$\mathrm{ln}\left(1-F\right)={K}_{FD}(t)$$ (14)

where _K_FD and _F_ are the FDM rate constant and the equilibrium fractional attainments (_F_ = _Q_t/_Q_e), respectively. AUTHOR STATEMENT FOR THE USE OF PLANTS In this study, Experimental

research and field studies on plant material (Pea _Pisum Sativum_ Peels), including the collection of plant waste material, complies with relevant institutional, national, and international

guidelines and legislation. RESULTS AND DISCUSSION PPAC CHARACTERIZATION THE X-RAY DIFFRACTION STUDIES Figure 1 shows the XRD patterns of activated carbon produced by pyrolyzing pea peels

impregnated with ZnCl2 at 800 °C while flowing CO2. A large diffraction band at 2_Ɵ_ = 22° and a tiny strength band at 44° could be seen in the PP-ZnCl2 sample. The PPAC sample's XRD

pattern exposed a little shift in the band from 22° to 25°, demonstrating the existence of an amorphous structure with irregularly arranged carbon rings, which is favorable for establishing

an adsorption gap. Furthermore, the band at 44° changed from being rounded to fairly sharp, showing that PPAC had a more organized structure than PP-ZnCl2 and that the activation procedure

might encourage the development of graphite microcrystallites. The bands between 10° and 20° are ultimately linked to the synthetic activated carbon's presence of micropores and

microcrystallinity60, which may be connected to the multilayer stacks microcrystalline structure that resembles graphite55. FTIR INVESTIGATION Pea peels (_Pisum sativum_) (PP), pea peels

soaked with a 2:1 ratio of ZnCl2 (PP-ZnCl2), and PPAC produced at 800 °C while flowing CO2 were all shown in Fig. 2's FTIR spectra. When the temperature was elevated to 800 °C, OH–

stretching vibration of functional groups disappeared, which explains why broadband formed around 3290 cm–1. An aliphatic CH- stretching vibration may be the cause of a weak band at 2850 

cm-1 that was gone at 800 °C. It was shown that the appearance of a very weak band at about 2650 cm–1 after heating at 800 °C corresponds to the presence of stretching (C-H aldehydes). The

emergence of a small peak at a wavelength of 2301–2351 cm–1, which is connected to C–C stretching vibrations in alkyne groups (Fig. 2). The steep band at 1600 cm–1 in the instance of PPAC,

created via heating at 800 °C with a 2:1 ratio of ZnCl2 under CO2 flow, corresponds to C=C skeletal stretching of the aromatic rings. This peak may grow sharper with ZnCl2 under CO2 flow as

due to the breakdown of CH bonds at the greater activation temperature (800 °C) to produce more stable aromatic C=C bonds. The occurrence of a band at 1400 cm–1 can be recognized as C=O, C–O

of COOH groups, or in-plane vibration of OH of COOH groups. With pea peel aromatization at 800 °C as the pyrolysis temperature, this band was completely gone. The large peaks at about

1050–1200 cm–1 relate to the stretching vibration of the C–O group in COOH acids, esters, ethers, phenols, and alcohols. The bands between 700 and 400 cm–1 may be caused by C–C stretching.

Benzene polycyclic, C–H bending, and Si–H stretching vibrations are all potential descriptions for the tiny absorption band at 600 cm–1. Most of the functional group's adsorption band

was gone after the activation process, and other peaks appeared instead. This might be because when heated, the functional groups in the feedstock evaporate as volatile molecules,

demonstrating that the activation process was successful48. SEM INVESTIGATION The SEM pictures of the microstructure of the pea peels, which were heated at diverse temperatures (600, 700,

and 800 °C) while being exposed to CO2 gas for 60 min., are shown in Fig. 3. The peels were soaked with a 2:1 ratio of ZnCl2. The surface of the PPAC was found to have a number of porous and

hollow carbon pores, as shown from SEM pictures acquired during the activation step (700 °C). Since the most volatile organic compounds evolved, the exterior surface of the PPAC has a

porous structure with numerous micropores. In micrographs (~ nm range) taken during studies at carbonization temperatures of 600 and 800 °C, PPAC has a broad outer surface with a very large

number of micropores that serve as pathways for the microporous adsorbent. The diameters of the micropores range from 69.95 to 48.88 nm. The PPAC operations were successful due to the

development of the microporous structure through chemical activation with ZnCl2, and the microporous structure's high specific surface area was similar to the BET value. TGA AND DTA

ANALYSES The Pea peels (_Pisum sativum_) TGA and DTA profiles and their impregnation with samples of ZnCl2 in a 2:1 ratio afford a clear representation of the range of carbonization

temperatures essential to make PPAC. Figure 4 displays the PP TGA and DTA curves as well as the sample impregnated with ZnCl2. There are four stages of deterioration in PP pyrolysis. At

temperatures between 56.46 and 190 °C, a weight loss of 4.15% is seen in the first phase. The discharge of aqueous molecules containing moisture, bound water, and volatile chemicals can be

the root of this mass loss. The depolymerization of hemicelluloses may be the cause of the second step's quick reduction in weight loss (around 44.07% at the temperature range of

192.98–275 °C) (Fig. 4). At temperatures between 275 and 394.09 °C, a progressive mass loss is included in the third stage. However, there was an 18.49% weight reduction, which can be

attributable to the breakdown of cellulose. The dissolution of the lignin unit in PP and the structure recombination and basic carbon skeleton synthesis may have contributed to the minor

downtrend of the last stage and a 14.02% weight loss between 400 and 950 °C62,63,80. Between 192.98 and 394.09 °C, the curve of DTA analysis in Fig. 4a has a substantial double maximum

between 260 and 306.99 °C. This suggests that it was in this temperature range where the PP main breakdown occurred. The pyrolysis procedure for the PP-ZnCl2-activated sample included four

steps, as described in Fig. 4b. The ZnCl2-activated sample lost weight during the first stage at 58.84–130 °C, which the discharge of water may have produced from the biomass. From 178.18 to

745.02 °C, the mass was reduced more slowly in the second and third stages (42.14 and 33.16%, respectively). While this was happening, a sizable percentage of the mass loss was brought on

by the decomposition of the lignocellulose components and the moisture released from the solid-phase ZnCl2. The last stage revealed a mass loss of 5.19% between 745.02 and 950 °C. The total

evaporation of the ZnCl2 liquid phase at a temperature higher than 700 °C was most likely the cause of this. Temperatures higher than 800 °C caused ZnO to change into metallic zinc67,80. The

PP-ZnCl2-activated sample was subjected to differential thermogravimetric analysis (DTA), which revealed that the largest mass loss rate was seen at two fundamental bands at 255 and 588 °C.

PORE STRUCTURE CATEGORIZATIONS The produced PPAC specific surface area was optimized by various techniques (BET, t-Plot, MP, and BJH) (Fig. 5). In Fig. 5a–e, the N2 adsorption–desorption

isotherms of activated carbon generated from PP soaked with 2:1 ZnCl2 are displayed. The carbon was activated at diverse pyrolysis temperatures of 600, 700, and 800 °C for 1 h while under

CO2 gas. As can be seen by comparing the adsorption isotherms of the diverse PPACs in Fig. 5a–e, the different adsorption isotherms of PPACs are classified by the IUPAC as typical Type I

microporous carbons68,75,95. The height of activated carbon's nitrogen adsorption isotherm. It's important to note that at 800 °C activation temperature and CO2 gas, more pores

form in superficially changed activated carbon PPAC (Table 1). AY11 DYE ADSORPTION ON PPAC INFLUENCE OF PH The pHPZC was studied following the method reported in the literature68,75. From

the result shown in Fig. 6a, the point of zero-charge (pHPZC) was estimated to be 5.6. When the pH of the solution was < the pHPZC, the active sites on the biosorbent surface were

positively charged, and when the pH of the solution was > the pHPZC, the active sites on the biosorbent surface were negatively charged. The pH range of textile industry effluents is

extremely large. The pH of the solution considerably influences the amino, carboxyl, and OH– groups on the surface of the biochar, which affects the adsorption procedure. Acid Yellow 11

(AY11) dye equilibrium adsorbed quantity determination and dye elimination were carried out at 25 °C, with a starting AY11 dye concentration of 100 ppm and 1.0 g/L PPAC acting as the

adsorbent. The ability to adsorb the AY11 dye in pH ranges from 1 to 12 was evaluated for 150 min. The pH changes are presented in Fig. 6b, which shows that the highest AY11 dye removal

(99.1%) occurred at pH 2 for AY11 dye adsorption utilizing PPAC. According to the change graph of AY11 dye removal with pH, by increasing the pH from 1 to 2, AY11 dye removal increased from

89.5 to 99.1%. By increasing the pH from 2 to 3, there is a sharp decrease, then a stable state between pH 3 and 4, then a sharp decrease again with the increase of pH from 4 to 9, and

finally a stable state from this point until pH 12. Considering the investigation on the adsorption of azo dyes, according to Song et al.78, the removal of Sunset Yellow dye resulted in a

dramatic drop in adsorption capacity when the pH value was increased from 2 to 4. In their investigation into the adsorption of the dye Direct Yellow 12, Khaled et al.79 discovered that the

removal effectiveness decreased from 98.1 to 11.1% by raising the pH of the water from 1.5 to 11.1. Eleryan et al.6 studied the pH impact on the adsorption of AY 11 dye with Mandarin

Biochar-TETA (MBT) adsorbent obtained from _Citrus reticulata_ peels and found that the removal decreased from 66.5 to 1.3% by changing the pH value from 1.5 to 12. It was found that the

optimal pH for AY11 dye adsorption for PPAC was 2. Since they fight for adsorption sites with the anions of the anionic AY11 dye, abundant OH– ions in an alkaline environment (high solution

pH) diminish the adsorption effectiveness. Additionally, the PPAC adsorbent favors dye anions over OH– ions of low concentration and mobility. The formation of attractive electrostatic

forces as the amount of positively charged regions rises at acidic pH levels aids in the improvement of anion adsorption. Because of negatively charged surface regions and electrostatic

repulsion of PPAC do not promote the removal of AY11 anionic dye molecules, resulting in very high adsorption efficiency in the strongly acidic pH 2. This is a result of the hydrophobic

properties of biochar. Hydrogen atoms connect to the carbon surface of the PPAC adsorbent and give it a positive charge. Therefore, the attractive interactions between the positively charged

PPAC and the negatively charged AY11 dye allow adsorption. CONTACT TIME IMPACT For the PPAC adsorbent and AY11 dye to interact as needed, contact time is a crucial factor. For this purpose,

PPAC at pH 2 with a starting AY11 dye concentration varying from 100 to 400 ppm was applied to investigate the influence of contact time. Figure 7 illustrates how the adsorption process

advances steadily after the first minute and occurs quickly for the first 15 min. According to Fig. 7, the first 30 min of AY11 dye adsorption account for 35–89% of the total adsorption.

With an increase in contact duration, the AY11 dye was continually adsorped. Depending on the AY11 dye beginning concentration (100, 150, 200, 300, and 400 mg/L), after 150 min, the

elimination was 99.9%, 99.8%, 99.6%, 97.9%, and 95.4%, respectively. The majority of AY11 dye ions will be able to stick to the PPAC and the removal will be high since the empty active

sites' dye concentration is low when the AY11 dye is adsorption from the PPAC adsorbent. On the other hand, the removal percentage remains low when removing AY11 dye from PPAC adsorbent

with a high initial concentration because of the empty active sites are unable to adsorb fresh dyes once they have been occupied by a certain amount of AY11 dye. Eleryan et al.6 and El Nemr

et al.70 showed similar results in the Acid Yellow 11 dye removal studies. INFLUENCE OF BEGINNING AY11 DYE CONCENTRATION The beginning concentration of AY11 dye is an essential factor in

the removal process as it can be used to predict how it will change the equilibrium adsorption capacity (_q__e_). To determine the effect of PPAC dose on the steady-state adsorption

capacity, the beginning AY11 dye concentration (100, 150, 200, 300, and 400 mg/L) and the AY11 dye concentration (0.75, 1.0, 1.5, 2.0 and 2.5 g/L) were studied at 25 °C and pH 2 (_q__e_).

Figure 8 demonstrates that as PPAC doses are reduced, the AY11 dye amount adsorbed at equilibrium (_q_e) increases at the same beginning concentration of AY11 dye. PPAC adsorbents were used

to compute the adsorption capacities at equilibrium (_q__e_) in the adsorption of AY11 dye at various doses (0.75–2.5 g/L), as shown in Fig. 8. For beginning AY11 dye concentrations (100,

150, 200, 300, and 400 mg/L), these values range from 133 to 508, 80 to 391, 67 to 264, 50 to 199, and 40 to 159 mg/g, respectively. Figure 8 shows that in solutions with higher beginning

AY11 dye concentrations, the AY11 dye adsorption capacity (_q_e) of PPAC is higher at equilibrium. As the adsorbent dose rose, it was seen to decrease. The adsorption of the AY11 dye from

its water solution was, therefore, clearly dependent on its beginning concentration, as shown. In their investigation into the adsorption of the dye Direct Yellow 12, Khaled et al.79

reported a similar pattern. The boundary layer effect is the first thing that happens to the AY11 dye molecules when they stick to the PPAC adsorbent. Due to the porous nature of the

adsorbent, they eventually coalesce when they diffuse out of the boundary layer film to the PPAC surface. IMPACT OF PPAC DOSAGE ON AY11 DYE ADSORPTION In order to test the impact of PPAC

dosage on the removal of the AY11 dye, the following experimental conditions were used: initial AY11 dye concentrations of 100–400 mg/L, PPAC dosages of 0.75–2.5 g/L, solution temperature of

25 °C, adsorption time of 150 min, and solution pH of 2 and the results are shown in Fig. 9a,b. According to experimental findings, the amount of AY11 dye adsorbed at equilibrium (_q_e)

falls as PPAC adsorbent dosage is increased (Fig. 9b), while the AY11 dye elimination % marginally increases (in the range of 95.4–100%) (Fig. 9a). If the beginning AY11 dye concentration is

300–400 mg/L and the PPAC dosage is 0.75 g/L, the release is caused by the active sites on the PPAC surface filling up rapidly in the existence of highly concentrated AY11 dye molecules.

Thus, 95–97% of the dye was eliminated, when the amount of PPAC adsorbent was increased from 0.75 to 2.5 g/L for beginning AY11 dye concentrations of 100, 150, 200, 300, and 400 mg/L,

respectively, the amount of AY11 dye adsorbed at equilibrium (_q_e) decreases from 133 to 40, 200 to 60, 266 to 80, 397 to 120, and 512 to 159 mg/g. It was discovered that 2.5 g/L PPAC dose

produced the highest elimination % of AY11 dye and the lowest adsorption quantity at equilibrium (_q_e). ADSORPTION ISOTHERMS The adsorption isotherm is applied to explain how the adsorbate

molecules partition between the solid and liquid phases by relating to the _q__e_ (mg/g) and _C_0 (mg/L) and to the equilibrium time88,98. The ideal amount of adsorbent to use is determined

using the molecular fraction of the adsorbate distributed in equilibrium (_q__e_) between solid–liquid phases and isotherm data. In this investigation, Langmuir (LIM), Freundlich (FIM),

Tempkin (TIM), Halsey (HIM), and Generalize isotherm (GIM) isotherm models were used to analyze the interaction between PPAC and AY11 dye88. The findings of the AY11 dye's adsorption on

PPAC are presented in Table 2, where the constants for the LIM are the affinity of the adsorption sites (_K__L_) and the saturated monolayer adsorption capacity (_Q__m_). PPAC adsorbent

demonstrated a high correlation coefficient (_R_2 = 0.992) in the linear form of the Langmuir model for the removal of AY11 dye, and the highest monolayer capacity (_Q__m_) was determined to

be 515.46 mg/g. The 1/_Q_m_K_L and 1/_Q_m values of the LIM were obtained from the intersection point and slope of the _C_e/_q_e vs _C_e plot shown in Fig. 10a, respectively. Strong

evidence for the adsorption of AY11 dye on PPAC can be mentioned from the _K_L ranging from 0.79 to 6.49 L/mg and a high _R_2 (0.994). According to the LIM, it is possible to apply the AY11

dye on the PPAC adsorbent. It was found that the AY11 dye was only absorbed in one layer on the PPAC adsorbent's surface. An additional model used for the adsorption of the AY11 dye by

PPAC is the FIM. The FIM was used to assess how well the PPAC adsorbent removed the AY11 dye. The linear fit values of the FIM, which considers the adsorption process as a heterogeneous

phenomenon, are presented in Table 2. The log _K_F and 1/_n_F values of the FIM are provided by the intersection point and slope of the log (_q__e_) vs log (_C__e_) plot shown in Fig. 10b,

respectively. One of the FIM constants, _K__F_ (L/g), denoting the binding energy, is used to indicate the amount of AY11 dye removed on the PPAC for a unit equilibrium concentration. The

adsorption capacity of the adsorbent increases with a greater _K_F value. Additionally, the adsorbent can easily absorb the adsorbate if 1/_n_ is less than 1. Therefore, the removal of AY11

dye by PPAC adsorbent is a physical process when 1/_n_ is smaller than 1. Examining the 1/_n_ values in Table 2 reveals that the AY11 dye can be appropriately adsorbed to the PPAC adsorbent

because all values are less than one. When the _n_ value, which measures the level of nonlinearity between the solution concentration and the removal process, is greater than 1, the AY11 dye

physically absorbs into the PPAC. The values of the FIM correlation coefficients are successfully defined by the change in log (_q__e_) as a function of log (_C__e_) (Fig. 10b). The higher

_Q__m_ value, which is 1692 mg/g and belongs to the PPAC with a 2.0 g/L dose as shown in Table 2, determines the superior adsorbability of AY11 dye to PPAC adsorbent. For PPAC adsorbent, the

Freundlich correlation coefficient (_R_2 > 0.995) was slightly higher than the Langmuir correlation coefficient. The TIM, another isotherm model used to analyze experimental results,

describes the indirect influences of adsorbent/adsorbate interactions on the process of adsorption. The TIM considers the heat exchange that takes place while the AY11 dye is being adsorbed

to the PPAC surface. Each molecule in the bed is expected to experience a linear decay in the heat of adsorption over time due to the process of adsorption. The linear relationship between

_q__e_ and ln _C__e_ presented in Fig. 10c is used to determine the TIM constants (_A__T_ and _B__T_) of adsorption of AY11 dye by PPAC adsorbents. Calculating the equilibrium binding

constant _A__T_ (g/L) using the graph's slope and the intercept of the graph, respectively. The equilibrium bonding constant _A__T_ (g/L) is computed from the graph's slope, while

the adsorption heat coefficient _B__T_ is measured from the graph's intercept. The computed TIM constants are shown in Table 2. Concerning the adsorption of the AY11 dye by the PPAC

using a 0.75 g/L dosage, the TIM correlation coefficient was obtained, and since it was quite high (_R_2 > 0.982), it was determined that the model was appropriate for analyzing

temperature changes in the removal process. The AY11 dye was removed through physisorption due to the extremely low heat of adsorption, and there was very little ionic contact between the

adsorbent and the adsorbate. The coating of the AY11 dye on the PPAC adsorbent is affected by the heat of adsorption (_B__T_), which is connected to the adsorbent-adsorbate interaction. If

Table 2 is examined, it can be seen that this value gradually climbed from 0.75 to 1.5 g/L of PPAC while decreasing to 0.25 g/L following this dosage. Halsey Model is another IM that has

been used to analyze experimental results. Multilayer adsorption is suited for the Halsey isotherm model. The adsorbent is non-homogeneous if this model satisfactorily matches the

equilibrium data. According to Fig. 10d, the HIM based on the correction factor is more appropriate for fitting such data than LIM, FIM, TIM, and GIM. In the Halsey model, a great

correlation (_R_2 = 1) was obtained in all samples except the adsorbent with 2.5 g/L concentration (Table 2). The multi-layer adsorption in the pores resulted in high _R_2 values when the

adsorption results were fitted to the FIM and HIM. The experimental data are also fitted to the GIM (Fig. 10e) in addition to the IMs already described above. It was noted that the _R_2

values were relatively high at all concentrations (_R_2 > 0.984), with the exception of the PPAC with 1.5 g/L concentration. Figure 10f shows the comparison of the _q_e and _C_e working

results and their prediction using the isotherm models for the absorption of AY11 dye by PPAC. ERROR FUNCTION INVESTIGATION FOR THE BEST-FIT IM To select the best appropriate model for the

removal of AY11 dye to PPAC, correlation coefficients (_R_2) for the LIM, FIM, TIM, HIM and GIM were compared to the experimental data of_ q_e. Comparing several error function values is

another method for selecting the best IM given experimental data. Average percent errors (APE), root mean square errors (RMS), hybrid error function (HYBRID), Chi-square error (X2), sum of

absolute errors (EABS) and Marquardt's percent standard deviation (MPSD) were used as the primary functions to compute the error distribution between the equilibrium values and the

estimated IM88. It is very clear that the most suitable model is the Halsey isotherm model, according to both correlation coefficients and error function terms (Table 3). ADSORPTION KINETIC

STUDIES PFOM, PSOM, IPDM, FDM and EM equations were used for the kinetic models of the AY11 dye removal by PPAC88. The kinetic models in Tables 4 and 5 have correlation coefficients (_R_2)

that range from zero (0) to one (1), and the model's suitability is directly correlated with how near the _R_2 value is to one. Figure 11a illustrates the calculation of the rate

constant, _k_1, and _q_e from the linear graph of the values of log (_q_e – _q_t) against time (_t_). The fact that the _R_2 values are above 0.9, with some exceptions, indicates that the

estimated _q_e values are compatible with the experimental _q_e. The PFOM equation is, therefore, appropriate for the AY11 dye adsorption on PPAC when considering the values in Table 5. As

the concentration of PPAC adsorbent increases from 0.75 to 25 g/L, Table 5 demonstrates no regular increase or reduction in _R_2 values. The PSOM was also used to assess the AY11 dye's

removal by the PPAC adsorbent. The quantity of AY11 dye adsorbed at equilibrium (_q__e_), as well as the PSOM constant, _k__2_, may be calculated by graphing _t_/_q_e vs time, as seen in

Fig. 11b. Figure 11b shows the PSO kinetic curve of the PPAC for the removal of the AY11 dye. Table 5 also includes the values for the PSOM constant (_k_2), theoretical and experimentally

calculated _q_e values, and related _R_2 values. Table 5 analysis reveals that the PSOM has _R_2 values that are closest to 1. The PSOM is, therefore, the most suitable kinetic model. As a

result, the experimental _q__e_ values ​​exactly overlap the estimated _q__e_ values for all of the beginning AY11 dye concentrations examined. The elimination of the AY11 dye on the PPAC

was studied using the EM, and Fig. 11c displays the correlation curve between _q__t_ and ln (_t_). The EM constants were calculated using the intercept and slope of Fig. Figure 11c,

respectively, and the results are shown in Table 5. When comparing the _R_2 values, it can be said that the EM's _R_2 values are higher than the PFOM's and lower than the

PSOM's (Tables 4 and 5). The results from Tables 4 and 5 demonstrate that, under certain circumstances, chemical adsorption can control the rate of AY11 dye adsorption on PPAC

adsorbent. The IPDM explains the solute transport from solid to liquid during adsorption. The IPDM identifies and explains each phase in the sorption process. The adsorbate is deposited onto

the adsorbent in an adsorption process in three steps: (i) In the initial stage, ions or molecules are moved from the solution via the liquid layer to the adsorbent surface. (ii) The second

step entails scattering the molecules or ions that have been adhered to the inside adsorbent surface. (iii) The final stage involves the chemical reaction that occurs in the

adsorbent's active groups. The phase that determines the rate of adsorption evolves slowly, as does each of the other two phases. The theory put out by Weber and Morris93 states that

the intraparticle diffusion step controls adsorption if the lines indicated in the graph of _q_t and root time (_t_) in Fig. 11d pass through the origin. However, when the drawn lines do not

go through the origin, it is thought that FD regulates the rate of the removal process (i.e., when the _C_ value is high). For the adsorption of AY11 dye onto PPAC at varied adsorbent

dosages and starting AY11 dye concentrations, the Webber-Morris adsorption line is shown in Fig. 11d. The slope and intercept points of the plot of _q__t_ versus _t_0.5 were used to generate

the _K_dif and _C_ values displayed in Table 5. The straight lines in Fig. 11d that represent all adsorbent concentrations do not pass through the origin because of their high _C_

intersection. It can be demonstrated that this is the case since FD regulates the rate of AY11 dye adsorption on PPAC adsorbent, which increases progressively over time (Fig. 11e). This

occurs because the PPAC adsorbent's surface area and pore volume diminish as the removal process progresses. COMPARISON WITH THE FINDINGS FROM THE LITERATURE The azo dye removal

effectiveness using various materials was compared with the PPAC adsorbent in the literature analysis reported in Table 6, which demonstrated how effectively the AY11 dye was absorbed by the

PPAC adsorbent. REGENERATION OF PPAC To test the viability and reusability of PPAC as an adsorbent, desorption tests of the AY11 dye from the PPAC adsorbent were carried out by 0.1 M NaOH

and HCl as elution media. With increasing regeneration cycles in this situation, the desorption percentage dropped (Fig. 12). The regenerated PPAC was used in six successive

adsorption/desorption cycles. The amount of adsorption that was offered remained constant during the cycles; however, after six generations, the adsorption capacity had decreased by 12.85%,

while the desorption capacity decreased by 9.8% after six desorption cycles. It implies that it might be employed as a long-lasting AY11 dye adsorption process (Fig. 12). CONCLUSION This

work has shown that pea peels, a type of biomass waste, may be used to make an inexpensive and effective adsorbent material. Dry pea peels were first impregnated with ZnCl2 at 25 °C, then

heated to 600, 700, and 800 °C in a CO2 environment to create PPAC, which is ready to be employed in the adsorption of AY11 dye. Beginning concentration, PPAC dose, time of contact between

the AY11 dye and the PPAC, and pH were all found to influence the remove of the AY11 dye from water. The optimal pH for PPAC to absorb the AY11 dye was found to be 2, researchers found. It

was found that the 2.5 g/L dosages of PPAC adsorbent produced the most AY11 dye elimination and the lowest amount of adsorption (_q__e_) at equilibrium. The HIM and FIM perform better than

other models in in eliminating AY11 dye. The maximum adsorption capacity (_Q_m) determined using the LIM was 515.46 mg/g. The AY11 dye was removed through physisorption because of the

exceedingly low heat of adsorption and the negligible ionic contact between the adsorbent and adsorbate. The results of this investigation point to PPAC as a potentially effective and

cost-effective adsorbent for the elimination of AY11 dye from water. DATA AVAILABILITY The datasets used in this investigation are accessible for review upon request from the corresponding

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Scholar  Download references FUNDING Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB).

This work was partially supported by The Science, Technology & Innovation Funding Authority (STDF) of Egypt, project number SCSE-31235. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS *

Department of Chemical Engineering, Faculty of Engineering, Minia University, Minia, Egypt Mohamed A. El-Nemr * Department of Chemical Engineering, Faculty of Engineering, Osmaniye Korkut

Ata University, 80000, Osmaniye, Türkiye Murat Yılmaz * Environment Division, National Institute of Oceanography and Fisheries, Kayet Bey, El-Anfoushy, Alexandria, Egypt Safaa Ragab, Mohamed

A. Hassaan & Ahmed El Nemr Authors * Mohamed A. El-Nemr View author publications You can also search for this author inPubMed Google Scholar * Murat Yılmaz View author publications You

can also search for this author inPubMed Google Scholar * Safaa Ragab View author publications You can also search for this author inPubMed Google Scholar * Mohamed A. Hassaan View author

publications You can also search for this author inPubMed Google Scholar * Ahmed El Nemr View author publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS

M.A.E. conceived the paper's main idea and performed the experiment and theoretical calculation. M.Y. wrote the original manuscript. S.R. and M.A.H. helped in prepare the

characterization analyses, and contributed various comments and ideas to help improve the overall quality of the research. A.E.N. designed the experiment, supervised the work, and revised

the manuscript. All authors have reviewed and approved the paper in its published form. CORRESPONDING AUTHOR Correspondence to Ahmed El Nemr. ETHICS DECLARATIONS COMPETING INTERESTS The

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CITE THIS ARTICLE El-Nemr, M.A., Yılmaz, M., Ragab, S. _et al._ Isotherm and kinetic studies of acid yellow 11 dye adsorption from wastewater using _Pisum Sativum_ peels microporous

activated carbon. _Sci Rep_ 13, 4268 (2023). https://doi.org/10.1038/s41598-023-31433-x Download citation * Received: 22 December 2022 * Accepted: 11 March 2023 * Published: 15 March 2023 *

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