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Article

Anaerobic Digestion of Cigarette Butts: Microbial Community Analysis and Energy Production Estimation

1
Department of Chemical Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea
2
Gwangju Bioenergy R&D Center, Korea Institute of Energy Research (KIER), 25 Samso-ro, Gwangju 61003, Korea
*
Author to whom correspondence should be addressed.
The first two authors listed share first authorship.
Energies 2021, 14(24), 8290; https://doi.org/10.3390/en14248290
Submission received: 31 October 2021 / Revised: 2 December 2021 / Accepted: 7 December 2021 / Published: 9 December 2021

Abstract

:
Anaerobic digestion using cigarette butts, one of most littered items, was studied not only as a waste treatment, but also as an energy production method. Methane production from cigarette butts was measured through the biochemical methane potential (BMP) test and it was evaluated whether it is possible to produce electrical energy. Intact cigarettes or individual components (filter, paper, and leaf) were supplied as the sole carbon source (substrate) for the BMP test. The tendency of methane production indicated biodegradation in the order of paper, filter, and leaves; however, the filter of cigarettes was the substrate produced the highest amount of methane per total solid. The microbial community was also analyzed in each anaerobic digestion reactor, and substrate-specific microorganisms were identified, such as Proteiniphilum strain (filter) and Methanobacterium formicicum (paper). In intact cigarettes, the related microbial community became dominant over time in the order of paper, filter, and leaf. The conversion of cigarette butts to methane, a renewable energy source, can be proposed as a sustainable route for energy demand, for example, in a smoking room.

Graphical Abstract

1. Introduction

Cigarette butts (CBs) are one of the most littered items worldwide. A report published in this regard shows that on International Coastal Cleanup Day in 2017, CBs with plastic filters accounted for the highest quantity (2.4 million), among the trash items collected (Ocean Conservancy). Damage to the ecosystem through CBs has also been reported. CBs reduce the germination and shoot length reached by grass and clover by up to 25% and reduce the amount of root biomass of clover by almost 60% [1]. This study indicated that cigarette filters made with cellulose acetate, a biobased plastic filter, may contribute to plant stress [1]. Accordingly, methods for recycling tobacco waste have been proposed. Reports have also been published regarding recycling CBs into high value materials such as cellulose pulp [2] and N-doped carbon powder [3].
However, there are few studies on CBs as an energy source through anaerobic digestion (AD). The end product of anaerobic digestion is biogas, which consists of methane and carbon dioxide. The energy content of the biogas is determined by its high content of methane. Recently, research has been conducted on a method of upgrading biogas (increasing methane composition) by converting surplus power into hydrogen through water electrolysis and using that hydrogen as a reducing agent to convert CO2 into methane [4,5]. The conversion of tobacco to biogas was previously studied using tobacco plants [6] and stalks [7]. The objective of previous studies was primarily to treat tobacco plant waste as agriculture waste. One research reported these as littered items, and the biogas yield was 0.17–0.28 m3 kg TS−1 of tobacco [8]. However, it was less than the yield obtained for agricultural residues, such as 0.55–0.62 m3 kg TS−1 for rice straw [9], 0.4–1.0 m3 kg TS−1 for maize straw [10], and 0.6 m3 kg TS−1 for mango leaves [11]. Since CB is composed of polymers such as cellulose acetate, the first step in AD, the hydrolysis step, is rate-determining. The cellulose content of CBs has been reported to be 43.4–68.4% [8]; thus, pretreatment is required to increase the biodegradability of this waste. Other recalcitrant organic matter such as rice straw [12] and pine wood [13] also increase biodegradability and biogas production after pretreatment. Compared to the untreated corn stover, NaOH-pretreated corn stover improves anaerobic biogas production by up to 48.5% [2].
Research on the anaerobic digestion of CBs has been conducted from the perspective of waste disposal, not from the perspective of energy. In this study, the possible electricity production was predicted by measuring the methane production amount for each element of cigarette butts, and lamp lighting in a smoking room was calculated as an example to see if an energy sustainable system could be constructed through this. The objective of this study was to evaluate the potential of CBs that can be used as an energy source through anaerobic digestion and to analyze the detailed degradation process by investigating the microbial community of AD fed with CBs and individual components of CBs; filter, paper, and leaf. Finally, the energy production from AD with CBs discarded in the smoking room was estimated.

2. Materials and Methods

2.1. Details of the Tobacco Sample Used

A single Esse Prime cigarette (KT&G, South Korea), the most popular cigarette in Korea, containing 4.5 mg tar and 0.45 mg nicotine (based on information provided by the manufacturer) was used. Cigarettes are made up of filters, paper, and leaves (Figure 1). Filters are made of cellulose acetate fibers, a synthetic plastic-like substance. Cellulose acetate is not easily biodegradable and can exist in the environment for more than a decade [14]. Leaves of tobacco plants contain ammonia, volatile fatty acids (VFAs), dextrose, CaO, K2O, SO42-, and approximately 3000 chemical constituents [15]. Nicotine, cadmium, and lead are representative chemicals classified as harmful or potentially harmful constituents in tobacco products and tobacco smoke in cigarettes by the US Food and Drug Administration in 2012. Generally, a cigarette (0.52 g) is made of 0.08 g (15.4%) of filter, 0.07 g (13.5%) of paper, and 0.37 g (71.2%) of leaves (Figure 1). To use cigarettes as feedstock in AD reactors, intact cigarettes or individual components (filters, paper, or leaves) were chopped using a commercial blender (Figure 1). The CBs were presterilized by autoclaving at 121 °C for 15 min under 15~22 psi. The sterilization process was also a heat treatment process. Thermal treatment was selected as the pretreatment method to simulate actual smoking on unused cigarettes. After thermal pretreatment, the CBs were prepared at 50 g/L in phosphate buffer (pH 7.4, 100 mM).

2.2. BMP Test

The biochemical methane production (BMP) test was applied to evaluate methane generation from CBs [16]. The BMP test was performed in a 500 mL Duran bottle at a working volume of 200 mL. Anaerobic sludge from a municipal wastewater plant (Jungnang, Seoul, South Korea) was added as inoculum (100 mL, pH 7.4 ± 0.1, VFAS 108.3 ± 25.2 mg/L, alkalinity 5.9 ± 0.8 g/L as CaCO3, TS 22.6 ± 0.02%, VS 70.7 ± 1.04%) in autoclaved bottles and 100 mL of CBs solution prepared at 50 g/L in phosphate buffer (100 mM, pH 7.4) was used. Final cigarette concentration for the BMP test was 25 g/L. The VS ratio of inoculum to substrate was between 3.2 and 4.0. After confirming that there was no indigenous biogas production, CBs were injected as the sole carbon source. To achieve anaerobic conditions, all bottles were purged with argon (Ar) gas for 30 min. All bottles were prepared in duplicates and incubated at 37 °C with mild agitation at 150 rpm. The biogas production was monitored daily using a sterile syringe, to equilibrate the pressure within the bottle with atmospheric pressure. It was run as a batch system and the experiment ended when no biogas was released. Average AD period was 43 ± 7.5 day. The biogas component was analyzed by gas chromatography–thermal conductivity detection (GC–TCD) (6500GC System, YL Instruments, Korea), and the final biogas content was determined by multiplying the volume and fractional percentage.
Methane   production   ( mL ) = biogas   volume   ( mL ) × Methane   fraction   ( % )
The pH and the VFAs, total carbon (TC), and total inorganic carbon (IC) content were analyzed every three days. Total organic carbon (TOC) was calculated by subtracting IC from TC.

2.3. Analytical Methods

The gas composition was analyzed by GC–TCD (gas chromatography–thermal conductivity detector) with a Carboxen®-1006 PLOT capillary GC column (Supelco, L × I.D. 30 m × 0.32 mm, average thickness 15 μm) using carrier Ar (flow rate 2 mL/min) and oven, injector, and detector temperatures of 60, 230, and 230 °C, respectively. The pH was measured using a meter (HI11310, Hanna instrument, Woonsocket, RI, USA). Total organic carbon (TOC) was determined by TOC-L (total organic carbon analyzer, Shimadzu, Kyoto, Japan). Volatile fatty acid (VFAS) concentrations were measured by gas chromatography–flame ionization detection (GC–FID, 6890N, Agilent Technologies, Santa Clara, CA, USA) equipped with RESTECK Stabilwax (30 m × 0.25 μm × 0.25 μm) using carrier N2 (flow rate 2 mL/min) with 5 m of intraguard. The temperature of the oven, injector, and detector were 50, 250, and 250 °C. VFAS production was calculated from maximum VFAS concentration analyzed by GC–FID. Volatile solid (VS) was determined following EPA method 1684. All data are expressed as average ± standard deviation.

2.4. Modified Gompertz Model

The modified Gompertz model is one of most commonly applied kinetic models in batch tests [17].
V C H 4 ( t ) = P ×   exp { e x p   [ R m a x   exp ( 1 ) P   ( λ t ) + 1 ]   }
In Equation (2), VCH4 (t) is the cumulative methane production (mL) at a given time t (h). Rmax is the maximum specific methane production rate (mL/h). P is the methane production potential (mL) and λ is the lag phase time (h) [18]. Anaerobic digestion (AD) period was calculated using the modified Gompertz model equation, up to time indicating less than 10% of methane production potential. The period excluded the lag phase.

2.5. Microbial Community Analysis

DNA was extracted from 0.5 g of each sample using a Fast DNATM Spin Kit for soil (MP Biomedicals, LLC, Solon, OH, USA), according to the manufacturer’s protocol. The concentration of extracted double stranded DNA was determined using an Infinite M200 PRO microplate reader (Tecan Austria GmbH, Grödig, Austria). The DNA was then stored in a freezer at −27 °C for further analyses. Amplification of the V3-V4 region of the bacterial 16S rRNA gene was performed for each sample using 341F and 805R primers. Samples were amplified for Illumina platform using a forward and reverse fusion primer. The forward primer was constructed with the (5′–3′) Nextera consensus (TCGTCGGCAGCGTC), a sequencing adaptor (AGATGTGTATAAGAGACAG), and the appropriate forward primer selected for the bacterial diversity assay (341F: CCTACGGGNGGCWGCAG) [19]. The reverse fusion primer was constructed with the (5′–3′) Nextera consensus (GTCTCGTGGGCTCGG), a sequencing adaptor, and the appropriate reverse primer for the bacterial diversity assay (805R: GACTACHVGGGTATCTAATCC) [19]. To detect methanogen species, Arch519F (CAGCCGCCGCGGTAA) and Arch934R (GTGCTCCCCCGCCAATTC) were used as methanogen-specific primers [20]. Amplifications were performed in a reaction volume of 25 μL, containing Dr. MAX DNA polymerase (Doctor Protein Inc., Korea), 10 pmol of each primer, and 1 μL of template. Reactions were carried out using the following thermal profile: 95 °C for 3 min, then 25 cycles at 95 °C for 30 s each, 55 °C for 30 s, 72 °C for 30 s, followed by one cycle at 72 °C for 5 min. DNA sequencing was performed by ChunLab, Inc. (Seoul, Korea) using an Illumina/MiSeq platform (San Diego, CA, USA), according to the manufacturer’s protocol.
Raw sequence reads from each biogas plant sample were processed, and the compositions and proportions of bacteria and methanogens in shared sets of multiple samples were analyzed using CLcommunity (Version 3.46, Chunlab Inc., Seoul, Korea). Each sequencing read was processed and taxonomically assigned using the EzTaxon e-database [21]. Typical taxonomic suffixes were “_s” for species, and “Unclassified taxons” were indicated with _uc [22]. The overall phylogenetic distance among communities was estimated using the unweighted pair group method with arithmetic mean (UPGMA) clustering [23,24]. Bacterial community distribution at the phylum and species level matrix was visualized using Circos [25]. Sequencing reads generated in this study are available in the EMBL SRA database under the accession number PRJNA664880.

3. Results and Discussion

3.1. Data for BMP Test

Methane production was normalized using the division by total solids (TS) (Figure 2). VS ratios of filter, paper, and leaves were 99.7%, 80.0%, and 86.7%, respectively (ash pictures after VS measurement are shown in Figure S1). The amount of methane was presented as accumulated methane production from AD. Methane production with each of the cigarette constituents was as follows: filter—545.8 NmL/g TS (547.4 NmL/g VS), paper—391.7 NmL/g TS (489.6 NmL/g VS), and leaves—162.2 NmL/g TS (187.1 NmL/g VS) (p < 0.05, Figure 2 and Table 1). The methane production value of the whole cigarette was much less than the sum of individual methane production multiplied by the composition ratio. To simplify final energy calculations, methane production per total solids is shown. The consumption rate of VFAS can determine the residual VFAS concentration, and the measured concentration might not show actual VFAS production, but with the maximum concentration analyzed, VFAS production was the highest in leaves (820.5 mg/g TS), followed by that in paper (374.3 mg/g), and filter (132.9 mg/g). However, it refers to net production and does not represent actual total production. All VFAS produced from the total cigarette, filter and paper was consumed and finally converted to biogas, but not all VFAS produced from leaves was consumed (Figure S2). TOC removal efficiency was found to be the highest in paper (75.5%), followed by that in filters (59.4%) and leaves (50.3%) (Table 1). The time profiles of VFAS, TC, TOC, and IC are shown in Supplementary Materials as Figures S2 and S3. The VS concentration was in the order of filter (99.7%), leaves (86.7%), and paper (80.0%), and paper showed a higher organic carbon removal rate compared to the VS concentration it contained. Cellulose acetate in filters is generally regarded as a biodegradable plastic [26]. Tobacco, an agriculture and household waste, has been reported as a low methane-producing material [8]. A study on the codigestion of tobacco stalks, wheat stalks, and pig manure showed 163 L CH4/kg VS (volatile solid) at 35 °C [7]. Another study reported 53.84 L CH4/kg fresh tobacco, obtained for the mixture of 15% tobacco/85% water with a hydraulic retention time of 16 days [6]. Methane production from intact cigarettes was 137.8 mL/g TS, in our batch test (Table 1). The methane content was 51.4–56% (Table 1). Theoretical composition of methane in biogas is related to the mean oxidation state of carbon in the specific substrate [27]. Based on the methane content of intact cigarettes, the mean oxidation state of carbon in intact cigarettes was found to be similar to that of phenyl alanine (−0.44 carbon oxidation state, 56% CH4) and insulin (−0.08, 51% CH4) [27].
To understand AD with intact cigarettes, experimental data were applied for the modified Gompertz model (see Supplementary Materials, Figure S4, for details). The methane production potential of intact cigarettes was found to be 152.4 mL/TS. The highest methane production potential of 443.0 mL/g TS was observed for the filter compartment of cigarettes. The filter of the cigarette is the part that is leftover in the highest quantity after smoking, and it contributes the most to the production of methane from CBs.
The ease of biodegradability of the substrate can be judged by the duration of the lag phase. The lag phase duration, analyzed using the modified Gompertz model, increased in the following order: paper (50.2 h), filter (225.3 h), and leaves (551.5 h). However, the lag phase shortened or disappeared with repeated batches (data not shown). The enriched microbiome could reduce the duration of the anaerobic process because an augmented microbiome could shorten a lag phase and abundant CBs-degrading microorganisms could increase the degradation rate.

3.2. Microbiome

3.2.1. Bacterial Community

Figure 3 shows the UPGMA clustering of the bacterial community in the sample fed as intact cigarettes and as individual components. The results showed that the initial bacterial community of the intact cigarette sample was similar to that of the paper-only sample, but the final community of the intact cigarette sample was similar to that of the leaf-only sample (Figure 3). Bacterial community analysis also showed that the biodegradation process occurred in the order of paper, filter, and leaf, as indicated by the methane production delay time (Table 1).
At the phylum level, Bacteroides dominated the bacterial community of filter and paper-fed AD, whereas Firmicutes dominated the leaf-fed AD (Figure 4a). Proteiniphilum FJ189548_s was mostly found in filter-fed AD (Figure 4b and Table 2). Proteiniphilum was isolated from a propionate-degrading mixture, which used yeast extract and peptone as the energy source, producing acetate and propionate [28]. Proteiniphilum is also found in cellulose-fed microbial fuel cells and degrades polysaccharides and xylans to simple organic compounds, such as acetate and succinate [29,30,31,32]. Bacterial community in paper-fed AD showed more diversity than in filter-fed AD (Figure 4b). Proteolytic bacteria such as Petrimonas mucosa, Bacteroides graminisolvens, and Aminobacterium mobile were dominant in paper-fed AD (Table 2). The isolation of Petrimonas mucosa and Bacteroides graminisolvens from biogas reactors [33,34] and Aminobacterium mobile from an anaerobic lagoon has been reported [35]. Petrimonas mucosa has weak extracellular enzyme activity against cellulose [33]. Bacteroides graminisolvens utilize cellobiose, but not cellulose [34]. Proteolytic bacteria such as the Bacillus spp. and Arthrobacter spp., isolated from an agricultural waste treatment plant, are able to degrade intact feathers [36]. The protein content in coarse tobacco waste has been reported to be in the range 2.7–4.8%, whereas carbohydrates and minerals contribute 25–50% and 12–45%, respectively, to the tobacco waste [8]. However, bacterial community analysis revealed that proteolytic bacteria were dominant, irrespective of the substrate composition. The predominance of proteolytic bacteria in filter/paper-fed AD suggests that proteolytic bacteria play an important role in the AD of CBs. The abundance of proteolytic strains in a system fed with paper were reported in a metaproteomics study and suggested a possible correlation between cellulose methanation and proteolytic activity [37].
Leaf-fed AD comprised a unique bacterial community. In this sample, a variety of species were found without a largely dominant species (Figure 4b and Table 2). Aminobacterium mobile, Clostridium celatum, Paraclostridium benzoelyticum, Clostridium butyricum, Cloacamonas acidaminovorans, and Escherichia coli were found in leaf-fed AD. Clostridium butyricum, a fermentative bacterium, was found only in leaf-fed AD among individual leaf, paper, and filter (Table 2).

3.2.2. Archaeal Community

Strains of methanogens were highly dependent on the substrate (Figure 5). Hydrogenotrophic methanogen was mostly dominant; however, in filter-fed AD, Methanosaeta concilii, an acetoclastic methanogen, was dominant (Figure 5 and Table 3). Methanosaeta spp., a potential indicator for anaerobic conversion of long-chain fatty acids to methane [45], and Methanosaeta concilii have been identified as the main methanogens present in a full-scale anaerobic bioreactor treating paper mill wastewater [46]. Interestingly, Methanobacterium formicicum was highly dominant (77.72%) in paper-fed AD (Table 3). M. formicicum has been found during AD in the presence of long chain fatty acids [47] even though it can utilize the low carbon such as CO2 and formate [48] and has been described as the H2-utilizing partner of the VFAS-degrading microbiome [49]. There was no significant difference in the types of volatile fatty acids among filter, paper, leaf-fed AD (Figure S2). The reason for the dominance of M. formicicum in paper-fed AD remains unknown, but the coculture of M. formicicum with anaerobic fungi shows high production of cellulolytic and xylanolytic enzymes [50]. In this study, Methanobacterium congolense was present at 22.68% in leaf-fed AD (Table 3). Methanobacterium congolense was earlier isolated from the AD reactor of cassava peel [51] and also found in a biogas plant with low VFAS concentration (<500 ppm) [52]. It has also been used to study the conversion of low-concentration CO2 to CH4 [53]. Methanogens acting on intact cigarettes were predominantly uncultured Methanosarcina species (denoted as Methanosarcina_uc in Figure 5 and Table 3). These species are capable of using various compounds (H2/CO2, acetate, formate/methanol) as the energy source [54,55]; hence, it is difficult to determine the main substrate in intact cigarettes.

3.3. Estimation of Energy Conversion in Methane Production from CBs

The methane production from intact cigarettes or individual components was analyzed, and the modified Gompertz model was applied to determine the methane production potential (Table 1). The values obtained were used to calculate the energy produced from the AD of CBs. (Table 4). Methane production was calculated after considering the weight of 500 CBs after smoking. The weight of each part of the cigarette thrown away after smoking was assumed as 1/10 for the leaf, 3/10 for the paper, and the filter part as it was. The methane production potential is the result of the modified Gompertz model applied to AD using individual cigarette components (Table 4). The coefficient for converting methane to energy was 9.4 Wh/L CH4, which was used to convert methane production energy into electrical energy [65]. The median value of the power of light bulbs (32–40 W) in a smoking room; 36 W was used as the power of the lighting bulb. Based on the calculations, electrical energy produced was sufficient to light the bulb for 5.7 h (Table 4, see Supplementary Materials for detailed calculation). This result shows the possibility of waste being recycled as energy through the process of AD, together with disposing CBs, which are the most littered item.

4. Conclusions

The production of methane from CBs by AD is a promising method to dispose of the most wasted items worldwide and convert this waste into energy. Particularly, it is a component discarded after smoking, and the filter made of cellulose acetate showed the most methane production per TS. Proteolytic bacteria were dominant in the AD of CBs, and the enriched microbiome rapidly produced methane after the lag period. Thus, using a local feedstock such as CBs in a smoking room, we envision a sustainable system by gaining energy from methane production through wastes.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/en14248290/s1, Figure S1: The pictures of paper, leaves, and filter after VS measurement. The photo shows the ash remaining after burning 6 g TS each at 550 °C., Figure S2: Time profile of volatile fatty acid concentrations with total CB or each component as a substrate for biochemical methane potential test., Figure S3: Time profile of total carbon (TC), total organic carbon (TOC), and inorganic carbon (IC) with total CB or each component as a substrate for biochemical methane potential test., Figure S4: The modified Gompertz model depending on the kinds of substrates as: (a) ground tobacco, (b) ground filter, (c) ground paper, (d) ground leaf. Spots show experimental values and lines indicate modeling predictions.

Author Contributions

Conceptualization, B.-I.S. and O.C.; methodology, S.E.H.; software, O.C.; validation, H.P., O.C., and B.-I.S.; formal analysis, S.E.H.; data curation, H.P.; writing—original draft preparation, O.C.; writing—review and editing, B.-I.S.; visualization, O.C.; supervision, B.-I.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry and Energy (MOTIE) of the Republic of Korea (No. 2019281010007B) and a grant from the “Graduate School of Post Plastic Specialization,” a part of the Korea Environmental Industry and Technology Institute, which was funded by the Ministry of Environment, Republic of Korea. This work also received support in part by a grant funded by Hanyang University in the Republic of Korea (HY-201100000000233-N).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Sequencing reads generated in this study are available in the EMBL SRA database under the accession number PRJNA664880 at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA664880.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Cigarette composition used for anaerobic digestion. The inserted pictures show the powder after the chopping process.
Figure 1. Cigarette composition used for anaerobic digestion. The inserted pictures show the powder after the chopping process.
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Figure 2. Amount of methane produced by each component of cigarette butts. Methane production was normalized using the division by volatile solids (VS).
Figure 2. Amount of methane produced by each component of cigarette butts. Methane production was normalized using the division by volatile solids (VS).
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Figure 3. UPGMA clustering of bacterial microbes fed intact cigarettes or individual components for anaerobic digestion.
Figure 3. UPGMA clustering of bacterial microbes fed intact cigarettes or individual components for anaerobic digestion.
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Figure 4. Circos representation of bacterial communities from the anaerobic digestion of intact cigarettes or individual components as: (a) phylum level; (b) species level.
Figure 4. Circos representation of bacterial communities from the anaerobic digestion of intact cigarettes or individual components as: (a) phylum level; (b) species level.
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Figure 5. Methanogen distribution at the species level in anaerobic digestion reactor fed intact cigarettes or individual components.
Figure 5. Methanogen distribution at the species level in anaerobic digestion reactor fed intact cigarettes or individual components.
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Table 1. Results of anaerobic digestion using cigarette butts or individual components and kinetic parameters calculated from the modified Gompertz model. All data are expressed as mean ± standard deviation.
Table 1. Results of anaerobic digestion using cigarette butts or individual components and kinetic parameters calculated from the modified Gompertz model. All data are expressed as mean ± standard deviation.
Results of Anaerobic DigestionTotal Methane ProductionVFAS Production (mg/g TS *)TOC Removal (%)Methane Content (%)
(NmL/g TS *)(NmL/g VS)
Whole cigarette126.2 (±7.0)143.8 (±7.9)357.4 (±17.8)53.0 (±2.6)56.0 (±0.6)
Filter545.8 (±36.7)547.4 (±36.8)132.9 (±19.3)59.4 (±4.1)56.6 (±1.1)
Paper391.7 (±6.8)489.6 (±8.5)374.3 (±8.9)75.5 (±3.6)56.7 (±0.7)
Leaves162.2 (±38.7)187.1 (±44.6)820.5 (±32.8)50.3 (±6.3)51.4 (±3.8)
Results of Modified Gompertz Model AppliedMethane Production Potential (BMP)Maximum Specific Methane Production Rate (Rmax, mL/hr/g TS *)Lag Phase Time (λ, hr)AD Period ** (hr)
(NmL/g TS *)(NmL/g VS)
Whole cigarette139.6159.00.1798.11300
Filter405.8407.10.49225.3875.5
Paper237.9297.40.3050.2864.2
Leaves7.688.70.09551.51100.8
* The results were normalized by dividing by the injected feedstock mass. The methane volume is expressed as values at room temperature (25 ± 3 °C) and atmospheric pressure. ** The period was calculated using the modified Gompertz model equation, up to the time indicating less than 10% of methane production potential (BMP) and the lag phase time was subtracted from the period. The amount of feedstock was 5 g.
Table 2. Bacterial microbes (species level) in an AD reactor fed cigarette butts or individual components. Numbers represent the distribution as percentage at the species level, and the column colors indicate high distribution in the three components: pink (filter), paper (yellow), and leaf (green).
Table 2. Bacterial microbes (species level) in an AD reactor fed cigarette butts or individual components. Numbers represent the distribution as percentage at the species level, and the column colors indicate high distribution in the three components: pink (filter), paper (yellow), and leaf (green).
Taxon NameWhole CigaretteiniWhole CigarettefinFilterPaperLeafIsolation Source/IdentificationSupposed Substrate
GQ480032_s13.724.380.0018.000.02Only reported gene sequence (analysis of bacterial community changes during sewage treated process, unpublished, Genbank: GQ480032.1)Paper
Bacteroides graminisolvens11.690.120.006.640.04Xylanolytic anaerobe isolated from a methanogenic reactor treating cattle waste [34]Paper
Parabacteroides chartae7.860.680.000.060.02Isolated from wastewater of a paper mill [38]
Escherichia coli2.720.110.000.111.08 Leaf
Cloacamonas acidaminovorans1.701.951.030.021.21Proteolytic anaerobes [39]Filter, Leaf
Clostridium butyricum1.323.420.000.001.30Fermentative H2 production [40]Leaf
AF280863_s0.818.100.650.410.84Isolated from a bioreactor treating pharmaceutical wastewater [41]
Paraclostridium benzoelyticum0.692.230.000.002.00Isolated from marine sediment [42]Leaf
Clostridium celatum0.311.080.030.063.14Isolated from normal human feces [43]Leaf
Proteiniphilum FJ189548_s0.222.0651.893.580.03Belonging to Proteiniphilum proteolytic genus [28]Filter, paper
Romboutsia timonensis0.120.480.040.131.01Isolated from human gut [44]Leaf
Petrimonas mucosa0.091.410.046.780.57Isolated from anaerobic reactor fed with maize silage and pig and cattle manure [33]Paper
Aminobacterium mobile0.067.230.004.435.87Amino acid-degrading bacteria [35]Paper, leaf
Table 3. Methanogens in an AD reactor fed cigarette butts or individual components.
Table 3. Methanogens in an AD reactor fed cigarette butts or individual components.
Taxon NameWhole CigaretteiniWhole CigarettefinFilterPaperLeafMethanogen Type
Methanosarcina_uc48.3534.920.804.4022.08
Methanosaeta concilii6.027.4056.300.101.45Acetoclastic [56]
Methanobrevibacter acididurans3.433.011.900.341.96Hydrogenotrophic [56]
Methanobacterium_uc1.634.3816.462.9136.56
Methanobacterium petrolearium1.274.863.330.761.29Hydrogenotrophic [57]
Methanobacterium congolense1.152.350.044.3522.68Hydrogenotrophic [51]
Methanobacterium subterraneum1.063.183.063.310.60Hydrogenotrophic [58]
Methanobacterium formicicum0.875.680.5577.720.12Hydrogenotrophic [59]
Methanobacterium palustre0.761.850.680.540.27Hydrogenotrophic [60]
Methanobacterium beijingense0.763.901.640.390.54Hydrogenotrophic [61]
Methanoculleus receptaculi0.231.112.810.000.32Hydrogenotrophic [62]
Methanobrevibacter boviskoreani0.000.010.000.002.25Hydrogenotrophic [63]
Methanosphaera stadtmanae0.230.140.330.022.16Hydrogenotrophic [64]
Table 4. Energy calculation estimated from methane production from cigarette butts leftover in a smoking room.
Table 4. Energy calculation estimated from methane production from cigarette butts leftover in a smoking room.
Cigarette Butt after Smoking (g)Assumed Waste Weight, If 500 Cigarette Butts per DayMethane Production Potential, (mL CH4/g TS)Methane Production (mL CH4)
Filter0.084044317720
Paper0.0210259.72597
Leaf0.042083.91678
Daily Methane Production (L/day)22.0
Energy Conversion to Electricity9.4Wh/L methane *
206.8Wh
36W bulb
5.7hr
* The value was referred from IRENA report [65].
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Choi, O.; Hwang, S.E.; Park, H.; Sang, B.-I. Anaerobic Digestion of Cigarette Butts: Microbial Community Analysis and Energy Production Estimation. Energies 2021, 14, 8290. https://doi.org/10.3390/en14248290

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Choi O, Hwang SE, Park H, Sang B-I. Anaerobic Digestion of Cigarette Butts: Microbial Community Analysis and Energy Production Estimation. Energies. 2021; 14(24):8290. https://doi.org/10.3390/en14248290

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Choi, Okkyoung, Sae Eun Hwang, Hyojung Park, and Byoung-In Sang. 2021. "Anaerobic Digestion of Cigarette Butts: Microbial Community Analysis and Energy Production Estimation" Energies 14, no. 24: 8290. https://doi.org/10.3390/en14248290

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