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Influence of phosphorus and nitrogen co-doping of activated carbon from littered cigarette filters for adsorption of methylene blue dye from wastewater

Abstract

Global access to sanitary water is of utmost importance to human health. Presently, textile dye water pollution and cigarette pollution are both plaguing the environment. Herein, waste cigarette filters (CFs) are converted into useful carbon-based adsorbent materials via a facile, microwave-assisted carbonization procedure. The CFs are activated and co-doped with phosphorus and nitrogen simultaneously to enhance their surface characteristics and adsorbent capability by introducing chemisorptive binding sites to the surface. The doped carbonized CF (DCCF) and undoped carbonized CF (CCF) adsorbents are characterized physically to examine their surface area, elemental composition, and surface charge properties. The maximum adsorption capacity of synthesized adsorbents was determined via batch adsorption experiments and Langmuir modelling. Additionally, the influence of different parameters on the adsorption process was studied by varying the adsorption conditions such as adsorbent dosage, initial concentration, contact time, temperature, and pH. The DCCF adsorbent showed a maximum adsorption capacity of 303 mg g− 1. Adsorption of both adsorbents fit best to Langmuir model and pseudo-second order kinetics, indicating chemisorptive mechanism. Both adsorbents showed endothermic adsorption process which is indicated by increasing adsorption capacity with increased temperatures. DCCF exhibited greater adsorption capability than CCF at all temperatures from 25 to 55 °C. The pH of the solution significantly affected the adsorption capacity of CCF while DCCF adsorption is favorable at a wide pH range due to low value of the adsorbent’s point of zero charge. Reusability results showed that both adsorbents can be used over several cycles for removal of dye. Thus, results conclude that the waste DCCF-based adsorbent does not only show a profound potential as a sustainable solution to combat textile dye water pollution but also addresses the valuable use of the CF pollution simultaneously. This approach, which can target two major pollutants, is attractive due to its ease of preparation, negligible cost, and versatility in application.

Introduction

Water pollution is an enormous problem worldwide, with the textile industry contributing to the overall pollution of water in a major way. Textile mills account for around 20% of all industrial water pollution; an approximate of 20,000 different chemicals and dyes contaminate water [1]. These synthetic dyes are incredibly stable, and thus are resistant to degradation under high temperatures, light exposure, and chemical treatment. Moreover, many of these dyes cannot be biodegraded under aerobic conditions and are highly soluble in water with visibility to the naked eye at minute concentrations (down to 1 ppm) [2]. As a result of their immense stability, current large-scale wastewater treatments are ineffective for dye removal, high in cost, or both, causing a significant portion of industrial dyes to be released into the environment.

Several prominent chemical and physical methods are used currently for textile dye removal from effluents, such as coagulation-flocculation, aerobic degradation, and adsorption [3]. Adsorption is a common choice to remove dye from solution as it is a relatively simple and inexpensive method [4, 5]. Recently, many researchers are examining the potential of waste resources for preparing activated carbons. A variety of precursors have been investigated such as tea [6], chitosan [7], and citrus peels [8]. There are also an increasing number of reports using heteroatoms such as nitrogen [9,10,11], phosphorus [12], or sulfur [13] doped activated carbon materials, to achieve enhanced adsorption. These heteroatoms produce various functional groups at the adsorbent’s surface that aid in binding dye molecules to the surface of adsorbent via alteration of surface polarity and acidity [14]. Many materials have shown promising results using dual or co-doping with two different elements [15, 16]. In this work, cigarette filter (CF) waste will be explored as a carbon precursor for synthesis of co-doped carbon material.

Cigarette waste contributes to the largest amount of plastic pollution around the world [17]. Most CFs, the part of the cigarette that remains after smoking, are tossed onto the ground, leading to immense ecological pollution. CFs are composed mainly of plastic, viz. cellulose acetate, which is not readily biodegradable [18]. Additionally, CFs contain toxic metals that can be leeched into soil and water, causing direct harm to plants and animals [19]. Due to the posed ecological threat of the litter, new methods of reducing cigarette pollution are needed. Since CFs are comprised mostly of cellulose acetate, a carbon-based polymer, these waste products can easily be utilized as carbon precursors for production of activated carbons [20,21,22].

This work aims to convert used CFs into useful carbon adsorbents via inexpensive and facile microwave-assisted approach. The phosphorus and nitrogen heteroatom-doped carbon contains functional groups which may have a synergistic effect on the adsorption capacity. Both undoped and doped carbons from CFs are characterized in detail. Methylene Blue (MB) dye is used to investigate the adsorption characteristics of the newly developed phosphorus and nitrogen co-doped carbon from cigarette filter (DCCF) and undoped carbonized cigarette filter (CCF). To the best of our knowledge, no work has reported the use of this one-step microwave-assisted method for producing DCCF and its use as an adsorbent.

Materials and methods

Chemicals

Waste CFs were collected from the University of Arkansas at Little Rock campus and rinsed with deionized (DI) water to remove any external residues like dust, and they were dried in air prior to their use. The paper casing was removed prior to carbonization. Ammonium polyphosphate (APP, avg. mw: 97) was a gift from JLS Chemicals. Sodium nitrate (NaNO3) was purchased from ACROS. MB dye was purchased from Sigma Aldrich. Elga model PURELAB ultra water-filtration system was used to collect DI water (18.2 MΩ cm). Reagent grade hydrochloric acid (HCl), sodium hydroxide (NaOH), and ethanol were purchased from VWR and diluted to 0.01 M solutions to adjust pH.

Adsorbent synthesis

Waste CFs were collected from receptacles located around University of Arkansas at Little Rock campus and carbonized through a facile, low-cost, microwave-assisted method described previously [23]. For synthesis of DCCF, the CFs were weighed and combined with APP in a mass ratio of 1:0.4, and 2 drops of water was added to help initiate microwave carbonization process. An undoped carbonized sample of used CF (CCF) was prepared without APP. In this regard, CF along with 2 drops of water were placed into a boron nitride crucible, which was promptly situated in a foamed aluminum oxide box to contain the reaction. The box was subjected to microwave irradiation in a conventional microwave oven for 30 min at high power (2.45 GHz and 1.25 kW power) to carbonize the waste filters and then cooled to room temperature. Afterwards, the resulting products were powdered using a mortar and pestle and stored in a desiccator for later use.

Physical characterization

Physical characterization of CCF and DCCF were examined using various techniques. Scanning electron microscopy (SEM, JEOL JSM-7000F) was carried out to analyze the surface morphology of the bulk materials. For sample preparation to perform SEM imaging, double-sided carbon tape on aluminum mount substrate was used to hold carbon sample. Surface area and porosity analyzer (ASAP 2020 Micrometrics) with tandem Brunauer–Emmett–Teller (BET) method was used to determine surface area and pore characteristics of adsorbents using nitrogen gas (N2) adsorption/desorption studies at 77 K. X-ray photoelectron spectrometer (XPS, Thermo K-Alpha) was used to analyze surface elemental composition of dried carbonized samples. Fourier transform infrared (FTIR, Thermo Scientific Nicolet 6700) spectroscopy was conducted to confirm that MB was adsorbed onto adsorbent surface and not degraded during adsorption. Point of zero charge (PZC) was determined using a simple salt addition method in order to find the pH where adsorbent carries no net surface charge. Briefly, a suspension of adsorbent (0.01 g) was prepared in 0.1 M NaNO3 aqueous solution in different reaction vessels (5 g L− 1 CCF or DCCF).

Adsorption studies

Adsorbent dosage

To optimize the adsorbent dosage for adsorption, various masses (5, 7.5, 10, 15, and 20 mg) were contacted with 50 mL of 20 ppm MB solution with 120 rpm stirring speed. After reaching equilibrium (24 h), the treated MB solutions were centrifuged at 3800 rpm for 10 min to remove the adsorbent from dye solution. Absorption spectrophotometry (Lambda 850 UV-Vis spectrophotometer with 1 cm path length quartz cuvette at 665 nm wavelength) was utilized to determine the concentration of MB remaining in solution at equilibrium. From this, the percent removal and adsorption capacity were determined.

Initial concentration

Batch adsorption experiments were conducted to analyze the effects of MB concentration adsorb onto CCF and DCCF from CFs. From stock, 50 mL MB solutions of different concentration (5 to 100 ppm) were prepared. 10 mg of adsorbent samples were placed into each MB solution. The solutions with adsorbent were stirred with a constant speed at room temperature until equilibrium was assumed (24 h). The equilibrium data were then fitted into Langmuir and Freundlich isotherm models to analyze the interactions between MB and CCF or DCCF.

Adsorption kinetics

To gain insight on how the mechanism of adsorption of MB onto CCF and DCCF is influenced by time, adsorption kinetic experiments were designed. Various initial concentrations of MB solution (5–100 ppm) were prepared in 50 mL water, and each solution was contacted with a constant 10 mg of adsorbent powder sample. These samples were stirred continuously. After specified time intervals, absorbance of an aliquot of the MB solution was analyzed by absorbance spectroscopy. This data was fitted using pseudo-first and second order modelling to ascertain the primary adsorption mechanism for the two adsorbent materials derived from CFs.

Effect of temperature

Solutions of MB were prepared at 30 ppm and adjusted to various temperatures: 25, 35, 45, and 55 °C. Then, 10 mg of adsorbent was added and stirred for 24 h. Afterwards, remaining concentration of MB dye was analyzed via absorbance spectrophotometry, and adsorption capacity was calculated.

Effect of pH

This experiment was designed by keeping the amount of adsorbent and the concentration of adsorbate (MB dye) constant while changing only the pH of the sample. Multiple solutions of 50 mL of 30 ppm MB of various pH were prepared by using dilute concentrations of NaOH and HCl. 10 mg of adsorbent was contacted in the aforementioned test solutions. The mixture was stirred at 120 rpm until equilibrium was assumed (24 h) at different initial pH.

Reusability of adsorbents

Reusability of adsorbents was determined by comparing Qe values after 4 cycles of washing and reuse of materials. Test solutions of MB were prepared at 20 ppm (50 mL) to which 10 mg CCF or DCCF were added and stirred (120 rpm) at room temperature for 24 h at neutral pH. Afterwards, absorption was used to determine Qe value. Adsorbents were recovered using centrifugation and washed with 10 mL ethanol a total of three times. Then, the adsorbent was dried in oven at 70 °C for 1 h. This was repeated over a total of 4 cycles.

Results and discussion

Physical characterization

SEM

SEM imaging was performed on adsorbent materials to analyze their surface morphologies. SEM image of CCF exhibits a rigid amorphous structure with smaller microstructures decorated on the surface (Fig. 1a). Imaging of DCCF sample displays cave-like structures and ridges at the macrostructure with spherical microscale structures distributed throughout (Fig. 1b). The doped sample also exhibited more sponge-like morphology indicating possession of a more well-formed pore structure than the undoped adsorbent. In order to confirm this, surface area analysis by BET was also performed.

Fig. 1
figure 1

a CCF and b DCCF adsorbents SEM images at 2500 X magnification

BET surface area analysis

Both adsorbents were characterized by BET in order to gain insight into their surface area and porosity. From adsorption-desorption isotherms, both adsorbents exhibit a type IV isotherm characterized by Langmuir-like behavior at relative low pressure and hysteresis loop at higher pressure (Fig. 2) [24]. The hysteresis loop is formed by capillary condensation in the mesoporous structures of the material. The BET surface area of CCF and DCCF adsorbents are 176 and 177 m2 g− 1, respectively. The microwave activation process causes the formation of reducing gases leading to high surface area carbon materials. This result indicates that doping with APP does not play a significant role in altering the overall surface area of the activated material. However, DCCF is significantly more mesoporous (88% mesopores by volume). This could be due to larger reducing gas formation when combined with APP. The overall results of BET analysis are tabulated in Table 1.

Fig. 2
figure 2

Adsorption and desorption curves of a CCF and b DCCF

Table 1 Surface area characteristics from BET

XPS

In order to determine surface elemental composition of adsorbent materials, XPS was performed. Various functional groups of atoms at the surface can greatly enhance adsorption mechanism by allowing chemisorption processes to occur. Survey scan spectra of both samples reveal the presence of carbon, oxygen, and phosphorus at the surface (Fig. 3). Results of CCF reveals the additional presence of silicon at a low percentage (1.13%, Table 2). This is expected, as silicates can be formed in cigarette smoke and deposited in the filter during smoking [25]. DCCF contains much greater amount of phosphorus (3.98%) and nitrogen at the surface, confirming that the doping of the material was successful. Nitrogen and phosphorus at the surface of adsorbent can aid in binding MB by altering the surface chemistry such as polarity and acid/base properties as well as introducing functional groups that can interact with MB in solution [9, 14].

Fig. 3
figure 3

Survey scan plots of a CCF and b DCCF adsorbents

Table 2 Surface elemental composition (At%) of adsorbents

PZC

The PZC of the adsorbents is analyzed in order to gain a deeper understanding of the possible adsorption mechanism onto the materials. The PZC can be defined as the pH where the net charge of an adsorbent is zero. MB is a cationic dye, and thus adsorption is favored when the solution pH is greater than the PZC of an adsorbent (adsorbent carries net negative charge). In order to determine PZC, a salt addition method was used as described previously [15]. A plot of ΔpH versus pHinitial was formed where ΔpH = 0 was deemed to be the PZC (Fig. 4). The PZC of CCF and DCCF were found to be 7.25 and 3.23, respectively. This implies that MB adsorption will be more favorable onto the doped adsorbent (DCCF) at a wider range of pH.

Fig. 4
figure 4

Point of Zero Charge (PZC) plots for CCF and DCCF

FTIR

In order to confirm that MB was adsorbed onto DCCF and not degraded during adsorption process, FTIR was used to identify characteristic carbon-sulfur bonds post-adsorption onto DCCF. Compared to the raw adsorbent material, there are two additional peaks at 1191 and 1321 cm− 1 which are correlated to the C=S double bond and the C—S bond, respectively (Fig. 5). The introduction of these carbon sulfur bonds post-adsorption confirms that MB is adsorbed to the surface and its structure is not altered during adsorption process. A similar band at 1396 cm− 1 was observed for CCF post MB adsorption (Fig. S1 of Supplemental Materials), indicating a similar nondegradative adsorption process for the undoped sample as well.

Fig. 5
figure 5

FTIR of DCCF adsorbent before and after adsorption of MB

Adsorption characterization

Adsorbent dosage

Various masses of CCF or DCCF were contacted with 50 mL solutions of MB dye, separately, and allowed to reach equilibrium. Afterwards, the percent removal of dye was calculated using Eq. (1).

$$ Percent\ Removal=\left(\frac{C_0-{C}_e}{C_0}\right)\ast 100 $$
(1)

where C is the concentration of MB in solution initially and at equilibrium. The amount of dye adsorbed at equilibrium, Qe (mg g− 1) was determined with Eq. (2):

$$ {Q}_e=\frac{\left({C}_o-{C}_e\right)V}{W} $$
(2)

where V is the volume of solution and W is the weight of adsorbent. For both samples, percent removal of dye increases with an increase in adsorbent dosage (Fig. 6). However, Qe increases to a maximum value and then decreases after a certain mass dosage. For CCF, the maximum Qe value is obtained at a mass dosage of 10 mg. For DCCF, this occurs at a slightly lower mass of 7.5 mg. To keep conditions the same for both adsorbents, a mass loading of 10 mg is used for further adsorption experiments.

Fig. 6
figure 6

Effects of adsorbent dosage on adsorption capacities and % MB removal for a CCF and b DCCF

Effect of initial concentration

The effect of initial concentration of MB adsorption onto the adsorbents was investigated by contacting a fixed mass of 10 mg adsorbent to varying concentration of MB from 5 to 100 ppm. For both adsorbents, it was observed that the adsorption capacity increased as the initial concentration of MB increased (Fig. 7). This is due to the mass transfer driving force between liquid-solid interface involved in heterogeneous adsorption. More dye molecules in the liquid phase shifts equilibrium toward adsorption onto the solid phase. Also, when the initial concentration is very low (5 ppm), both adsorbents exhibit a similar Qe value. However, for CCF, the maximum experimental Qe value achieved is 195 mg g− 1 while DCCF reaches a value of 294 mg g− 1. This indicates the enhanced adsorptive capabilities of DCCF compared to CCF.

Fig. 7
figure 7

Effects of initial MB concentration on the equilibrium adsorption capacity of CCF and DCCF

Adsorption isotherms

Adsorption isothermal modelling of the data allows a detailed investigation of possible adsorption mechanisms. The models help to describe the interactions between adsorbent and dissolved dye species at the liquid-solid phase boundary and allow an estimation of the maximum adsorption capacity. The two most common models, Langmuir and Freundlich, were applied to the adsorption data of CCF and DCCF samples.

Modelling with the Langmuir equation is performed with several assumptions, one being that only a single layer of adsorbate can be adsorbed onto the active sites of an adsorbent, and there is a limited amount of those sites. Langmuir model also makes the assumptions that those active sites are energetically equivalent regardless of their occupation, meaning the Langmuir equation does not consider repulsive forces of molecules bound to adsorbent surface. The linear form of the Langmuir equation [26], Eq. (3), was used to determine the Langmuir constants related to the maximum adsorption amount (Qmax) and the adsorption energy (KL).

$$ \frac{C_e}{Q_e}=\frac{1}{Q_{max}{K}_L}+\frac{1}{Q_{max}}{C}_e $$
(3)

From the slope of Eq. (3), Qmax can be obtained and was determined to be 213 and 303 mg g− 1 for CCF and DCCF, respectively (Table 3). This indicates that DCCF possesses a higher capacity to adsorb MB from solution. The KL value of DCCF is also much higher than CCF (0.38 vs 0.08) indicating a stronger interaction between doped sample surface and the adsorbate. Both models showed reasonable fitting with R2 values of 0.911 and 0.986 for CCF and DCCF, respectively.

Table 3 Langmuir and Freundlich constant value results from linear fitting and free energy values for CCF and DCCF

Modelling with the Freundlich equation is done with the assumptions of heterogeneous adsorbent surfaces and that the adsorption sites have varying energy. The Freundlich equation, Eq. (4), was also used in the linear form:

$$ \mathit{\log}{Q}_e=\mathit{\log}{K}_F+\frac{1}{n}\mathit{\log}{C}_e $$
(4)

where KF is a constant related to adsorption capacity and n is a constant related to adsorption intensity. Neither adsorbent was well represented by the model with R2 values less than 0.88 in both cases. However, both adsorbents possess an n value greater than 1 which is indicative of a favorable process of adsorption. The n value of DCCF is greater than that of CCF (Table 3) which can be correlated to stronger interactions between adsorbate and the adsorbent material due to greater amount of nitrogen and phosphorus at the surface. KF values are related to adsorption capacity and, like Langmuir modelling of the data, DCCF exhibits a higher KF value. Langmuir and Freundlich fitting plots are displayed in Fig. S2.

To determine the spontaneity of the adsorption process of CCF and DCCF, Gibbs free energy was calculated from Eq. (5).

$$ \Delta {G}^o=- RTln{k}_0 $$
(5)

where R is the gas constant, (8.314 J mol− 1 K− 1) T is the temperature (298 K), and k0 is equal to Qe/Ce [27]. Both CCF and DCCF exhibited spontaneous adsorption, due to negative calculated values of ΔGo. The value of ΔGo for DCCF is more negative than for CCF (Table 3) which indicates that the doped CF material shows more highly spontaneous adsorption at 298 K.

Kinetics

To investigate the kinetic mechanism of adsorbents, kinetic adsorption was fitted into pseudo-first and pseudo-second order kinetic models. Experiments were performed by varying initial concentration from 5 to 100 ppm of MB at natural pH and recording the dye concentration at various time intervals after contact with adsorbent (Fig. 8a and b). The pseudo-first order model was used in the linear form, Eq. (6), in order to evaluate the first order rate constant, k1.

$$ \log \left({Q}_e-{Q}_t\right)=\mathit{\log}{Q}_e-\frac{k_1}{2.303}t $$
(6)

where Qt is the amount of dye adsorbed at time, t. R2 values were used to determine the better fitting model. The pseudo-second order equation was also used in the linear form, Eq. (7), to determine second order rate constant, k2.

$$ \frac{t}{Q_t}=\frac{1}{k_2{Q}_e^2}+\frac{1}{Q_e}\ \mathrm{t} $$
(7)
Fig. 8
figure 8

Kinetics plot of a CCF and b DCCF and pseudo c first and d second order fitting of data of doped sample

Plotting the linear form of Eq. 6 and 7 generates a straight line in which k can be directly calculated (Fig. 8c, Fig. 8d, and Fig. S3). CCF average R2 value is 0.88 (Table S1) while the average value of R2 for second order fitting is 0.99. This indicates a better fitting of CCF adsorption to pseudo-second order kinetics. DCCF average R2 value for pseudo-first order plot is 0.90 while for pseudo-second, the value average is 0.99. This indicates that the adsorption mechanism is better correlated to a pseudo-second order process for both samples. This process is characterized by strong chemisorptive adsorption between MB and CCF and DCCF adsorbents. This mechanism involves the chemical binding between functional groups on the surface of adsorbent and MB dye. The enhancement of nitrogen, phosphorus, and oxygen elemental composition at the surface of DCCF is attributed to enhancing chemisorptive active sites. Moreover, improved diffusion of MB into the mesoporous structure of the adsorbents can aid to enhance their adsorption performance.

In addition to kinetic modelling, the standard deviation was calculated from Eq. (8):

$$ \Delta Q\left(\%\right)=100\times \sqrt{\frac{\sum {\left[\frac{Q_{t,\mathit{\exp}}-{Q}_{t, cal}}{Q_{t,\mathit{\exp}}}\right]}^2}{n-1}} $$
(8)

For CCF adsorption, ∆Q was found to be between 1 and 9 for second order compared to 7–20 for first order (Table S1). Similarly, DCCF displayed ∆Q values between 5 and 17 for pseudo-first order and 5–8 for pseudo-second order. This data further supports a chemisorptive mechanism of adsorption for the two adsorbents.

The adsorption capacity of CCF and DCCF were compared to those of other waste-derived carbon materials for their removal of MB from solution. The waste precursors and corresponding maximum adsorption capacities are reported in Table 4. From this data, it can be concluded that CCF and DCCF show exceptional application as adsorbents for the removal of cationic MB dye as their adsorption capacities are higher than many other waste-derived carbons. Additionally, many of the previously used waste precursors require chemical activation, whereas this work highlights a simplistic method to produce doped carbons with desirable adsorption characteristics.

Table 4 Comparison of maximum adsorption capacity of MB of CCF and DCCF to other adsorbent materials (at 298 K)

Effect of temperature

In order to evaluate the temperature effect on adsorption onto the cigarette-based samples, experiments were performed at four different temperatures ranging from 25 to 55 °C. It is observed that for both adsorbent materials, the adsorption capacity, Qe is increasing as the temperature increases (Fig. 9). This is due to an increased diffusion rate of MB molecules into the internal cavities of porous carbons [26]. This occurs mainly due to the lowering of viscosity of the solvent as temperature increases. This is also indicative of an endothermic adsorption process for both adsorbents [35].

Fig. 9
figure 9

Effect of temperature on equilibrium adsorbent capacity from initial concentration of 30 ppm and 10 mg adsorbent dosage

Effect of pH

The effect of solution pH on MB’s adsorption was analyzed by contacting 10 mg of adsorbent to 50 mL of 30 ppm MB solution (Fig. 10). CCF adsorption is greatly dependent on pH, ranging from 78 to 100 mg g− 1 in a pH range from 3.9 to 10.2. This is due to the neutral PZC of CCF. Below pH 7, the adsorption is unfavored because of the repulsive forces between MB and the positive adsorbent surface. In contrast, DCCF adsorption capacity remains relatively unchanged over the pH range 3.4 to 10.9. This is because of a low value of PZC value of DCCF, causing it to have a net negative surface charge at pH past 3.2.

Fig. 10
figure 10

Effect of initial solution pH on adsorption capacity of CCF and DCCF using an initial 50 mL of 30 ppm MB solution

Reusability of adsorbents

Reusability of adsorbents was determined in order to assess the long-term utility of CCF and DCCF. This was carried out using adsorption-desorption experiment where MB was adsorbed onto the adsorbent and desorbed with ethanol thrice prior to reuse. This experiment was performed for a total of 4 cycles where Qe was calculated for each cycle. It was found that both adsorbents retain their adsorption characteristics up to the second cycle after which the Qe begins to decrease at a faster rate (Fig. S4). This decrease in Qe value is attributed to the reduction of active sites at the adsorbent surface during desorption of MB [36]. Thus, both CCF and DCCF have potential to be used over several times before being discarded.

Conclusions

Useful adsorbent materials were successfully prepared from waste CCF using a simple and rapid one-step microwave synthesis. DCCF exhibited an exceptional maximum adsorption value of 303 mg g− 1, making it a highly efficient and cost efficient adsorbent for MB removal. The materials were characterized in detail to reveal crucial information about their surface area, elemental composition, and morphology. The adsorbents were shown to have exceptional surface area (~ 177 m2 g− 1) and well-developed porosity. Doping of the sample was confirmed using XPS which showed significant contribution of phosphorus and nitrogen on the surface of the material which played a significant role in enhancing the adsorption capacity of the material. Adsorption of MB onto adsorbents was found to be best correlated to a monolayer adsorption process as confirmed by higher R2 value with Langmuir fitting. Further, the adsorbents undergo a pseudo-second order adsorption process which is indicative of a chemisorptive process. Adsorption onto the adsorbents is spontaneous (ΔG < 0) and endothermic in nature and can be recycled several times efficicently before being discarded. This work highlights an inexpensive and green method to convert a common litter source into a useful material for water remediation.

Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. 1.

    Greer B, Maul R, Campbell K, Elliott C. Detection of freshwater cyanotoxins and measurement of masked microcystins in tilapia from Southeast Asian aquaculture farms. Anal Bioanal Chem 2017;409:4057–69.

    Article  Google Scholar 

  2. 2.

    Lellis B, Favaro-Polonio CZ, Pamphile JA, Polonio JC. Effects of textile dyes on health and the environment and bioremediation potential of living organisms. Biotechnol Res Innov 2019;3:275–90.

    Article  Google Scholar 

  3. 3.

    Demissie H, An GY, Jiao RY, Ritigala T, Lu S, Wang DS. Modification of high content nanocluster-based coagulation for rapid removal of dye from water and the mechanism. Sep Purif Technol 2021;259:117845.

    Article  Google Scholar 

  4. 4.

    Katheresan V, Kansedo J, Lau SY. Efficiency of various recent wastewater dye removal methods: a review. J Environ Chem Eng 2018;6:4676–97.

    Article  Google Scholar 

  5. 5.

    Ali I, Asim M, Khan TA. Low cost adsorbents for the removal of organic pollutants from wastewater. J Environ Manage 2012;113:170–83.

    Article  Google Scholar 

  6. 6.

    Sikdar D, Goswami S, Das P. Activated carbonaceous materials from tea waste and its removal capacity of indigo carmine present in solution: synthesis, batch and optimization study. Sustain Environ Res 2020;30:30.

    Article  Google Scholar 

  7. 7.

    Liang BL, Li KX, Liu Y, Kang XW. Nitrogen and phosphorus dual-doped carbon derived from chitosan: an excellent cathode catalyst in microbial fuel cell. Chem Eng J 2019;358:1002–11.

    Article  Google Scholar 

  8. 8.

    Sharifzade G, Asghari A, Rajabi M. Highly effective adsorption of xanthene dyes (rhodamine B and erythrosine B) from aqueous solutions onto lemon citrus peel active carbon: characterization, resolving analysis, optimization and mechanistic studies. RSC Adv 2017;7:5362–71.

    Article  Google Scholar 

  9. 9.

    Li H, An NH, Liu G, Li JL, Liu N, Jia MJ, et al. Adsorption behaviors of methyl orange dye on nitrogen-doped mesoporous carbon materials. J Colloid Interf Sci 2016;466:343–51.

    Article  Google Scholar 

  10. 10.

    Lian F, Cui GN, Liu ZQ, Duo L, Zhang GL, Xing BS. One-step synthesis of a novel N-doped microporous biochar derived from crop straws with high dye adsorption capacity. J Environ Manage 2016;176:61–8.

    Article  Google Scholar 

  11. 11.

    Wang ZW, Wang K, Wang YH, Wang SM, Chen ZM, Chen JF, et al. Large-scale fabrication of N-doped porous carbon nanosheets for dye adsorption and supercapacitor applications. Nanoscale 2019;11:8785–97.

    Article  Google Scholar 

  12. 12.

    Silva TL, Cazetta AL, Souza PSC, Zhang T, Asefa T, Almeida VC. Mesoporous activated carbon fibers synthesized from denim fabric waste: efficient adsorbents for removal of textile dye from aqueous solutions. J Clean Prod 2018;171:482–90.

    Article  Google Scholar 

  13. 13.

    Vigneshwaran S, Sirajudheen P, Karthikeyan P, Meenakshi S. Fabrication of sulfur-doped biochar derived from tapioca peel waste with superior adsorption performance for the removal of Malachite green and Rhodamine B dyes. Surf Interfaces 2021;23:100920.

    Article  Google Scholar 

  14. 14.

    Suo FY, You XW, Ma YQ, Li YQ. Rapid removal of triazine pesticides by P doped biochar and the adsorption mechanism. Chemosphere 2019;235:918–25.

    Article  Google Scholar 

  15. 15.

    Macchi S, Siraj N, Viswanathan T. Kinetic and mechanistic study of dye sorption onto renewable resource-based doped carbon prepared by a microwave-assisted method. Environ Technol 2020:1–10.

  16. 16.

    Roldan L, Marco Y, Garcia-Bordeje E. Bio-sourced mesoporous carbon doped with heteroatoms (N,S) synthesised using one-step hydrothermal process for water remediation. Micropor Mesopor Mat 2016;222:55–62.

    Article  Google Scholar 

  17. 17.

    Qamar W, Abdelgalil AA, Aljarboa S, Alhuzani M, Altamimi MA. Cigarette waste: assessment of hazard to the environment and health in Riyadh city. Saudi J Biol Sci 2020;27:1380–3.

    Article  Google Scholar 

  18. 18.

    Puls J, Wilson SA, Holter D. Degradation of cellulose acetate-based materials: a review. J Polym Environ 2011;19:152–65.

    Article  Google Scholar 

  19. 19.

    Moerman JW, Potts GE. Analysis of metals leached from smoked cigarette litter. Tob Control 2011;20:30–5.

    Article  Google Scholar 

  20. 20.

    Xiong QC, Bai QH, Li C, Li DL, Miao XJ, Shen YH, et al. Nitrogen-doped hierarchical porous carbons from used cigarette filters for supercapacitors. J Taiwan Inst Chem E 2019;95:315–23.

    Article  Google Scholar 

  21. 21.

    Lee M, Kim GP, Song HD, Park S, Yi J. Preparation of energy storage material derived from a used cigarette filter for a supercapacitor electrode. Nanotechnology 2014;25:345601.

    Article  Google Scholar 

  22. 22.

    Kim GP, Lee M, Song HD, Bae S, Yi J. Highly efficient supporting material derived from used cigarette filter for oxygen reduction reaction. Catal Commun 2016;78:1–6.

    Article  Google Scholar 

  23. 23.

    Macchi S, Siraj N, Watanabe F, Viswanathan T. Renewable-resource-based waste materials for supercapacitor application. Chemistry Select 2019;4:492–501.

    Google Scholar 

  24. 24.

    Sing KSW, Everett DH, Haul RAW, Moscou L, Pierotti RA, Rouquerol J, et al. Reporting physisorption data for gas/solid systems with special reference to the determination of surface area and porosity. Pure Appl Chem 1985;57:603–19.

    Article  Google Scholar 

  25. 25.

    Pappas RS. Toxic elements in tobacco and in cigarette smoke: inflammation and sensitization. Metallomics 2011;3:1181–98.

    Article  Google Scholar 

  26. 26.

    Nasuha N, Hameed BH, Din ATM. Rejected tea as a potential low-cost adsorbent for the removal of methylene blue. J Hazard Mater 2010;175:126–32.

    Article  Google Scholar 

  27. 27.

    Archin S, Sharifi SH, Asadpour G. Optimization and modeling of simultaneous ultrasound-assisted adsorption of binary dyes using activated carbon from tobacco residues: response surface methodology. J Clean Prod 2019;239:118136.

    Article  Google Scholar 

  28. 28.

    Danish M, Ahmad T, Majeed S, Ahmad M, Lou ZY, Zhou P, et al. Use of banana trunk waste as activated carbon in scavenging methylene blue dye: kinetic, thermodynamic, and isotherm studies. Bioresour Technol Reports 2018;3:127–37.

    Article  Google Scholar 

  29. 29.

    Djilani C, Zaghdoudi R, Djazi F, Bouchekima B, Lallam A, Modarressi A, et al. Adsorption of dyes on activated carbon prepared from apricot stones and commercial activated carbon. J Taiwan Inst Chem E 2015;53:112–21.

    Article  Google Scholar 

  30. 30.

    Reffas A, Bernardet V, David B, Reinert L, Lehocine MB, Dubois M, et al. Carbons prepared from coffee grounds by H3PO4 activation: characterization and adsorption of methylene blue and Nylosan Red N-2RBL. J Hazard Mater 2010;175:779–88.

    Article  Google Scholar 

  31. 31.

    Rashid RA, Jawad AH, Ishak MABM, Kasim NN. FeCl3-activated carbon developed from coconut leaves: characterization and application for methylene blue removal. Sains Malays 2018;47:603–10.

    Article  Google Scholar 

  32. 32.

    Hu WR, Xie Y, Lu S, Li PY, Xie TH, Zhang YK, et al. One-step synthesis of nitrogen-doped sludge carbon as a bifunctional material for the adsorption and catalytic oxidation of organic pollutants. Sci Total Environ 2019;680:51–60.

    Article  Google Scholar 

  33. 33.

    Dorothy A, Mideen AS. Adsorption of methylene blue dye on activated carbon from rice husk. J Chem Pharm Res 2015;7:761–5.

    Google Scholar 

  34. 34.

    Jasper EE, Ajibola VO, Onwuka JC. Nonlinear regression analysis of the sorption of crystal violet and methylene blue from aqueous solutions onto an agro-waste derived activated carbon. Appl Water Sci 2020;10:132.

    Article  Google Scholar 

  35. 35.

    Li ZC, Hanafy H, Zhang L, Sellaoui L, Netto MS, Oliveira MLS, et al. Adsorption of congo red and methylene blue dyes on an ashitaba waste and a walnut shell-based activated carbon from aqueous solutions: experiments, characterization and physical interpretations. Chem Eng J 2020;388:124263.

    Article  Google Scholar 

  36. 36.

    Wijayanti TA, Ansori M. Application of modified green algae Nannochloropsis sp. as adsorbent in the simultaneous adsorption of Methylene Blue and Cu (II) cations in solution. Sustain Environ Res 2021;31:17.

    Article  Google Scholar 

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Acknowledgements

The authors acknowledge Center for Integrative Nanotechnology Sciences for characterization instrumentation.

Funding

This research acknowledges the Signature award funding and startup funds from the University of Arkansas at Little Rock.

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Samantha Macchi, Zane Alsebai, Arooba Ilyas, and Shiraz Atif collected adsorption data and performed data analysis. Samantha Macchi and Fumiya Watanabe collected physical characterization data. Tito Viswanathan and Noureen Siraj provided supervision, project administration, and acquisition of funding. Writing and original draft preparation was conducted by Samantha Macchi, Zane Alsebai and Noureen Siraj. All authors read and approved the final manuscript.

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Correspondence to Noureen Siraj.

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Macchi, S., Alsebai, Z., Watanabe, F. et al. Influence of phosphorus and nitrogen co-doping of activated carbon from littered cigarette filters for adsorption of methylene blue dye from wastewater. Sustain Environ Res 31, 36 (2021). https://doi.org/10.1186/s42834-021-00108-5

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  • DOI: https://doi.org/10.1186/s42834-021-00108-5

Keywords

  • Doped carbon
  • Dye adsorption
  • Water purification
  • Green chemistry
  • Microwave
  • Cigarette
  • Methylene blue