Next Article in Journal
A Cleaner Delignification of Urban Leaf Waste Biomass for Bioethanol Production, Optimised by Experimental Design
Previous Article in Journal
Heat/PMS Degradation of Atrazine: Theory and Kinetic Studies
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Use of Banana Waste as a Source for Bioelectricity Generation

1
Instituto de Investigación en Ciencias y Tecnología de la Universidad Cesar Vallejo, Trujillo 13001, Peru
2
Vicerrectorado de Investigación, Universidad Autónoma del Perú, Lima 15842, Peru
3
Grupo de Investigación en Ciencias Aplicadas y Nuevas Tecnologías, Universidad Privada del Norte, Trujillo 13007, Peru
4
Laboratorio de Investigación Multidisciplinario, Universidad Privada Antenor Orrego (UPAO), Trujillo 13008, Peru
*
Author to whom correspondence should be addressed.
Processes 2022, 10(5), 942; https://doi.org/10.3390/pr10050942
Submission received: 12 April 2022 / Revised: 2 May 2022 / Accepted: 4 May 2022 / Published: 9 May 2022
(This article belongs to the Topic Sustainable Energy Technology)

Abstract

:
The large amounts of organic waste thrown into the garbage without any productivity, and the increase in the demand for electrical energy worldwide, has led to the search for new eco-friendly ways of generating electricity. Because of this, microbial fuel cells have begun to be used as a technology to generate bioelectricity. The main objective of this research was to generate bioelectricity through banana waste using a low-cost laboratory-scale method, achieving the generation of maximum currents and voltages of 3.71667 ± 0.05304 mA and 1.01 ± 0.017 V, with an optimal pH of 4.023 ± 0.064 and a maximum electrical conductivity of the substrate of 182.333 ± 3.51 µS/cm. The FTIR spectra of the initial and final substrate show a decrease in the peaks belonging to phenolic compounds, alkanes, and alkenes, mainly. The maximum power density was 5736.112 ± 12.62 mW/cm2 at a current density of 6.501 A/cm2 with a peak voltage of 1006.95 mV. The molecular analysis of the biofilm formed on the anode electrode identified the species Pseudomonas aeruginosa (100%), and Paenalcaligenes suwonensis (99.09%), Klebsiella oxytoca (99.39%) and Raoultella terrigena (99.8%), as the main electricity generators for this type of substrate. This research gives a second use to the fruit with benefits for farmers and companies dedicated to exporting and importing because they can reduce their expenses by using their own waste.

1. Introduction

The demographic growth of society has led to an exponential increase in food consumption in different areas (livestock, vegetable, vegetables, etc.), which has caused problems for governments and companies dedicated to the sale and distribution of food-related products [1,2]. On the one hand, population growth indeed brings great economic benefits to traders, but it also generates greater environmental pollution due to the increase in waste generated in the process of selling and consuming food [3,4]. Government agencies in many countries, mainly in low-income countries (Peru, India, Brazil, Haiti, etc.), do not have an adequate system for the collection and disposal of the waste generated, and often the organic waste from fruits or vegetables is dumped in the adjoining areas of large food centers [5,6]. According to Di Fonzo et al. (2021), the average organic waste generated globally in 2018 was 2 billion metric tons per year and it is estimated that by 2050 this value will increase by 3400 million tons [7]. Similarly, it has been reported that the average annual waste generated by a person in the years 2017, 2018, and 2019 amounted to 33, 47.3, and 55.6 kg, respectively [8]. This has led research centers to become involved in this area to provide a novel solution to all types of waste for the good of society or companies; the waste is currently used to generate fertilizers [8], bioremediation [9], ethanol [10], bioenergy [11], and others. Bioenergy is gaining importance because it mostly uses organic wastes as fuel sources for its production. For example, Katiyar et al. (2019) studied the particular case of bagasse (sugarcane waste), mentioning that with 5 752,800 metric tons it can generate 9475 GWh per year of bioenergy and, according to the regulations of the government of Pakistan, bagasse can be converted into 2000 MW of electric power [12].
In this sense, microbial fuel cells (MFCs) are a technology that uses organic wastes directly as fuel sources. The generation of electricity is based on the process of oxidation and reduction in the anodic and cathodic chambers that make up the cells through the electrodes and the electrical circuit of such cells [13,14]. Currently, many works use MFCs for electricity generation; for example, Florian et al. (2019) used banana and orange peel wastes, managing to generate voltage peaks of 0.67 V in cells made with activated carbon and zinc electrodes for a volume of 100 mL of orange waste for 10 days [15]. Similarly, Varma and Bebber (2019) used fruit sediment wastes (mango, orange, and banana) as substrates in their cells fabricated with felt electrodes, managing to generate voltage peaks of 370, 130, and 120 mV for cells with orange, mango, and banana substrates, respectively. Orange, tangerine, and lime wastes have also been used as substrates to generate electricity, achieving peaks between 0.95 and 1 V for each individual cell, but using zinc and copper metal electrodes [16].
On the other hand, the production of bananas worldwide has increased exponentially; due to this, countries such as Ecuador, Colombia, Peru, and Brazil, mainly in South America, have increased their exports of this fruit. In 2016, they produced approximately 126 million tons worldwide, representing 15% of fruit consumption. In Brazil alone, 101,992,743 tons were produced, achieving a turnover of US$ 28,209,561 thousand dollars [17,18]. In general, bananas are a rich source of fiber, minerals (phosphorus, magnesium, zinc, potassium), vitamins (C, B6, provitamin A), and phenolic compounds, becoming a functional food [19]. However, its consumption has led to an increase in waste, causing environmental problems in many countries due to the lack of organization for the collection of this waste [20].
Because of this, the main objective of this research is to generate electrical energy using banana waste as fuel (substrate) in laboratory-scale microbial fuel cells, in which the generated values of voltage, current, pH, conductivity, and degrees Brix will be monitored; the power density, current density, internal resistance of the cell, and the initial and final compounds will also be calculated by Fourier-transform infrared spectroscopy (FTIR). Likewise, the microorganisms adhered to the anodic biofilm that generates electricity will be identified through the molecular technique.

2. Materials and Methods

2.1. Collection of Banana Waste

Five kilograms of decomposing bananas were collected from La Hermelinda market, Trujillo, Peru, which were taken in airtight bags to the laboratory. The waste was washed 5 times with distilled water, in order to eliminate any type of dirt (dust, mud, or insects) acquired from the environment where they were found, and left to dry in an oven at 25 ± 2 °C for 12 h. The banana pulp went through an extractor (Labtron, LDO-B10-USA) in order to obtain juice from the waste. It was possible to obtain 1.5 L of juice, which was placed in a beaker and stored until its use in the microbial fuel cells.

2.2. Construction of Microbial Fuel Cells

Three (3) low-cost microbial fuel cells were constructed using an acrylic tube (Polymethyl methacrylate) of 20 × 5 cm in length and diameter, respectively, as an anode chamber. Zinc (Zn) electrodes were used as anode and Copper (Cu) as cathode, each one with an area of 80 cm2. The anode was placed 5 cm from the end of the tube and the cathode was placed at the tube cap to be in contact with the environment (O2) and the substrate at the same time. The electrodes were connected through an external circuit with a resistor of 100 Ω and in the absence of a proton-exchange membrane, see Figure 1.

2.3. Characterization of Microbial Fuel Cell

The values of the physical-chemical parameters were measured for 35 days, using a multimeter (Prasek Premium PR-85). It was possible to obtain voltage and current values with an external resistor of 1000 Ω. Conversely, for current density (DC) and power density (PD) values, the procedure performed by Rojas-Flores et al. (2021) was used, with external resistors of 0.3 (±0.1), 0.6 (±0.18), 1 (±0.3), 1.5 (±0.31), 3 (±0.6), 10 (±1.3), 20 (±6.5), 50 (±8.7), 60 (±8.2), 100 (±9.3), 120 (±9.8), 220 (±13), 240 (±15.6), 330 (±20.3), 390 (±24.5), 460 (±23.1), 531 (±26.8), 700 (±40.5), and 1000 (±50.6) Ω [6]. Changes in conductivity (conductivity meter CD-4301), pH (pH meter 110Series Oakton), and degrees Brix (RHB-32 Brix refractometer) were also measured. Transmittance values were measured by FTIR (Thermo Scientific IS50) and the resistance values of the MFCs were measured by using an energy sensor (Vernier-± 30 V and ±1000 mA).

2.4. Isolation of Electrogenic Microorganisms from the Anodic Chamber

The electrogenic bacteria were isolated by using the streaking technique from a swabbing in the following growth media: Trypticase Soy agar, Mac Conkey agar, and nutrient agar incubated at 36 °C to isolate Gram-negative bacteria; and Sabouraud agar for fungi and yeasts incubated at 30 °C. The procedure was performed in duplicate [21,22].

2.5. Molecular Identification of Bacteria and Fungi

Molecular identification was performed by the Analysis and Research Center of the laboratory “Biodes Laboratorios”. From pure cultures, DNA extraction using the CTAB technique, PCR amplification, and 16S rRNA sequencing process was performed by the MACROGEN Laboratory and then analyzed by the bioinformatics software MEGA X (Molecular Evolutionary Genetics Analysis). Finally, the sequence obtained was compared with the sequences of reference bacterial species contained in the genomic base banks, using the sequence alignment tool, BLAST (Basic Local Alignment Search Tool), to obtain the percentage of identity in the identification of bacteria [23].

3. Results

Figure 2a shows the values of the voltages generated during the 35 days of monitoring the microbial fuel cells. It is observed that the voltage values increase from the first day (0.923 ± 0.005 V) to the sixth day (1.01 ± 0.017 V) and then slowly decay until the last day (0.2875 ± 0.0252 V). According to Hassan et al. (2019), the increase in voltage values is mainly due to the formation of the bacterial biofilm and the transfer of electrons between the electrodes [24]. For this substrate, after the seventh day, the decay phase begins, which can originate so quickly due to the copper electrode which, although an excellent conductor of electrons, could harm certain microorganisms due to its toxicity [25]. Figure 2b shows the values of the electric currents generated during monitoring, which increased abruptly from the first day (2.9612 ± 0.035 mA) to the fourth day (3.71667 ± 0.05304 mA) of monitoring, and then declined continuously until the last day (1.45 ± 0.0932 mA). Previous studies have shown that the decrease in electrical current values is due to the consumption of the substrate (banana waste) by bacteria that do not generate electricity [26], as well as the depletion of glucose and mannitol by the substrate [27].
The pH values are shown in Figure 3a. They increase from the first day, going from a moderately acidic to slightly acidic level, with an optimum pH of approximately 4.023 ± 0.064. The optimal pH value shown contradicts what is mentioned by Shukla and Kumar (2018), who mention that optimal pH should be between 6 to 8 normally, because it is optimal for the metabolic activity of microbes and any variation would produce a pH gradient reducing the values of electricity production [28]. However, it has been shown that the pH values are controlled by the biological activity associated with the microorganisms present in the cathodic and anodic biofilms, and not by the electrochemical performance of the microbial fuel cells [29]. Figure 3b shows the monitoring values of the electrical conductivity of the substrate, showing its maximum value on the seventh day (182.333 ± 3.51 µS/cm), which declined until the last day (43.667 ± 3.789 µS/cm).
The increase in conductivity values is mainly due to the proliferation of microorganisms in the first days of adaptation, while the decrease in values is due to the sedimentation of the substrate [30,31]. On the other hand, Figure 3c presents the Brix values generated by the cells, showing that from the first day (12 Brix) they decay slowly until the thirty-first day when they reach zero. Pazmiño et al. (2019) evaluated the feasibility of using banana stem residues as feedstock to produce biofuels such as ethanol and biogas from 0.591 g of juice/g of fresh stem composed of total soluble solids (Brix), such as glucose (7 g/L), sucrose (3 g/L), and fructose (8 g/L), obtaining, after five days of fermentation, 0.41 g of ethanol/g of sugars, because microorganisms consume sugars for the synthesis of new cellular components and metabolites [22,32]. Figure 4a shows the values of internal resistance (Rint.) of the microbial fuel cells, displaying that Rint. remains almost constant throughout the monitoring with an average value of 152.43599 ± 5.654 Ω. This value shows a small decrease in the last minutes of the monitoring. In general, the high values of current and voltage generated are due to the low resistance shown by the system. The lower the resistance, the greater the passage of electrons, although in the final stage there is a small decrease in resistance that would lead to thinking that there is greater freedom for electrons to generate electric currents. This should be overshadowed, because, by that time, not as many electrons are generated as in the beginning due to the degradation and sedimentation of the substrate used [33,34,35]. Figure 4b shows the values of power density (PD) and voltage according to the current density (CD), showing a PDMAX of 5736.112 ± 12.62 mW/cm2 at a CD of 6.501 A/cm2 and a maximum voltage of 1006.95 mV. These values shown exceed those found by Kebaili et al. (2020), who used peeled fruits mixed with potassium chloride as a substrate, generating PD peaks of 0.12 mW/cm2, mainly due to the use of fruit peel and low amounts of potassium chloride [36]. In the same way, a PD of 75 mW/m2 was generated for cells with citrus peel substrate from which 350 mL of extract was obtained to be used as fuel [37].
Figure 5 shows the FTIR spectra of banana waste in its initial and final state. The most intense peak at 3367 cm−1 belongs to the O-H bonds for phenolic compounds and 2938 cm−1 belongs to the strong C-H bonds of the alkanes. Similarly, in the range 1639 cm−1 the alkene compound was identified (C=C bond) and the peaks at 1415 and 1001 cm−1 belong to the NO2 and C-H bonds, respectively [38,39]. The peaks that are more noticeable in the spectrum are diminished in comparison to the final spectrum, which is due to the degradation of the substrate in the process of generating electrical energy during its operation, since the microorganisms use many of these compounds as food for their metabolism [40].
Molecular identification of bacteria was achieved by sequencing a PCR product specific to the 16S bacterial ribosomal gene region [41]. They were analyzed by the BLAST program which obtained 100% of identity for the species Pseudomonas aeruginosa, 99.09% for the species Paenalcaligenes suwonensis, 99.39% for the species Klebsiella oxytoca, and 99.8% for the species Raoultella terrigena (Table 1).
A BLAST characterization of the rDNA sequence of bacteria isolated from the anode plate of microbial fuel cells with banana substrate was performed using ribosomal rDNA sequences, showing the levels of similarity between phylogenetically related species (see Figure 6). Among the species identified is Pseudomonas aeruginosa, a facultative aerobic bacterium [42] that can use carbon and nitrogen sources, obtaining energy from the oxidation of sugars. This species is persistent in the environment [43]. It is also worth mentioning that this species has electron mediators, such as phenazine-1-carboxylic acid and pyocyanin, that allow it to survive in anaerobic conditions [44]. A study by Ali et al. exposed the efficiency of using Pseudomonas aeruginosa species, which generated 136 ± 87 mW/m2 using glucose, followed by fructose and sucrose. In this study, it was observed that the cell fed with glucose showed higher bacterial adhesion [45]. The species Klebsiella oxytoca, a Gram-negative bacterium and member of the Enterobacteriaceae family [46] present in the environment and humans [47], was also identified. It is worth mentioning that the genus Klebsiella is characterized by a prominent polysaccharide capsule [48]. The species Paenalcaligenes suwonensis, a Gram-negative, aerobic, catalase- and oxidase-positive bacterium, was also identified [49]. Another species identified was Raoultella terrigena, a Gram-negative bacterium of the genus Raoultella, isolated mainly from soil and water samples [50].

4. Conclusions

Bioelectricity was successfully generated by using banana waste as fuel through microbial fuel cells with zinc and copper electrodes at a laboratory scale. Peak voltages of 1.01 ± 0.017 V and 3.71667 ± 0.05304 mA were generated on the sixth and fourth day, respectively. The pH values increased from the first day, reaching an optimum pH of 4.023 ± 0.064 and electrical conductivity peaks of 182.333 ± 3.51 µS/cm on the seventh day. Likewise, the Brix values decreased from the first day until day 31, when they reached zero. The internal resistance of the system was 152.43599 ± 5.654 Ω, a very low value compared to other works, and its maximum power density was 5736.112 ± 12.62 mW/cm2 for a current density of 6.501 A/cm2 with a maximum voltage of 1006.95 mV. The FTIR spectra initially shows intense peaks of phenolic compounds, alkanes, and alkenes, among others. These peaks clearly decay with the final spectrum due to the process of bioelectricity generation. The species Pseudomonas aeruginosa, Paenalcaligenes suwonensis, Klebsiella oxytoca, and Raoultella terrigena were molecularly identified with an identity of 100, 99.09, 99.39, and 99.8%, respectively, which were found in the biofilm of the anode electrode. For future investigations, it is recommended to investigate with stable pH values (adding some chemical compound) and to cover the electrodes with non-toxic materials for microorganisms. This research provides a new and eco-friendly way to use the waste of this fruit as fuel, which will be very beneficial for producers because they could use their waste to generate electricity for their own benefit.

Author Contributions

Conceptualization, S.R.-F.; methodology S.M.B.; software, R.N.-N.; validation, L.A.-S. and E.M.-T.; formal analysis, S.R.-F. and M.D.L.C.-N.; investigation S.R.-F.; data curation, M.D.L.C.-N.; writing—original draft preparation, D.D.-N.; writing—review and editing, S.R.-F.; project administration, S.R.-F. and R.N.-N. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica—CONCYTEC/PROCIENCIA according to Project agreement 370-2019.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors thank Juan Pastrana, for the help provided in the grammar of the English language.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Segundo, R.F.; La Cruz-Noriega, D.; Milly Otiniano, N.; Benites, S.M.; Esparza, M.; Nazario-Naveda, R. Use of Onion Waste as Fuel for the Generation of Bioelectricity. Molecules 2022, 27, 625. [Google Scholar] [CrossRef] [PubMed]
  2. Kondaveeti, S.; Bisht, A.; Pagolu, R.; Lai, C.; Lestari, R.; Kumar, A.; Das, D.; Kalia, V.C.; Lee, J.K. Mild Alkaline Pretreatment of Rice Straw as a Feedstock in Microbial Fuel Cells for Generation of Bioelectricity. Indian J. Microbiol. 2022, 1–9. [Google Scholar] [CrossRef]
  3. Nazario-Naveda, R.R.; Rojas-Flores, S.J.; Angelats-Silva, L.; Gallozzo-Cardenas, M.M.; Valverde-Diaz, E.I. Películas biodegradables de almidón de papa reforzadas con extracto acuoso de piel de mango para su uso como envase activo. In Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education, and Technology, Buenos Aires, Argentina, 21–23 July 2021. [Google Scholar]
  4. Kitafa, A.B.; Obaid Al-saned, J.A. A Review on Microbial Fuel Cells. Eng. Technol. J. 2021, 39, 1–8. [Google Scholar] [CrossRef]
  5. Cui, Y.; Lai, B.; Tang, X. Microbial fuel cell-based biosensors. Biosensors 2019, 9, 92. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Rojas-Flores, S.; Benites, S.M.; De La Cruz-Noriega, M.; Cabanillas-Chirinos, L.; Valdiviezo-Dominguez, F.; Quezada Álvarez, M.A.; Vega-Ybañez, V.; Angelats-Silva, L. Bioelectricity Production from Blueberry Waste. Processes 2021, 9, 1301. [Google Scholar] [CrossRef]
  7. Di Fonzo, A.; Nardone, V.; Fathinejad, N.; Russo, C. The Impact of Plant Variety Protection Regulations on the Governance of Agri-Food Value Chains. Soc. Sci. 2019, 8, 91. [Google Scholar] [CrossRef] [Green Version]
  8. Atelge, M.R.; Krisa, D.; Kumar, G.; Eskicioglu, C.; Nguyen, D.D.; Chang, S.W.; Atabani, A.E.; Al-Muhtaseb, A.H.; Unalan, S. Biogas production from organic waste: Recent progress and perspectives. Waste Biomass Valorization 2020, 11, 1019–1040. [Google Scholar] [CrossRef]
  9. Singh, G.P.; Aggarwal, S. Sawi transform for population growth and decay problems. Int. J. Latest Technol. Eng. Manag. Appl. Sci. 2019, 8, 157–162. [Google Scholar]
  10. Zhen, J.; Lazarovitch, N.; Tripler, E. Effects of fruit load intensity and irrigation level on fruit quality, water productivity and net profits of date palms. Agric. Water Manag. 2020, 241, 106385. [Google Scholar] [CrossRef]
  11. Spengler, J.J. The Economics of Population Growth. In The Population Crisis and the Use of World Resources; Springer: Dordrecht, The Netherlands, 1964; pp. 73–93. [Google Scholar]
  12. Katiyar, A.; Gaur, A.; Shrivastava, A.; Khan, M.A.; Singh, N.P.; Saini, R.; Kaur, M.G. Design and Construction of a Shredding Machine for Recycling and Management of Organic Waste. Int. J. Trend Sci. Res. Dev. 2019, 3, 707–712. [Google Scholar] [CrossRef]
  13. Ahmad, T.; Danish, M. Prospects of banana waste utilization in wastewater treatment: A review. J. Environ. Manag. 2018, 206, 330–348. [Google Scholar] [CrossRef] [PubMed]
  14. Falcomer, A.L.; Riquette RF, R.; de Lima, B.R.; Ginani, V.C.; Zandonadi, R.P. Health benefits of green banana consumption: A systematic review. Nutrients 2019, 11, 1222. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Florian TD, M.; Villani, N.; Aguedo, M.; Jacquet, N.; Thomas, H.G.; Gerin, P.; Magali, D.; Richel, A. Chemical composition analysis and structural features of banana rachis lignin extracted by two organosolv methods. Ind. Crops Prod. 2019, 132, 269–274. [Google Scholar] [CrossRef]
  16. Varma, V.; Bebber, D.P. Climate change impacts on banana yields around the world. Nat. Clim. Chang. 2019, 9, 752–757. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Coltro, L.; Karaski, T.U. Environmental indicators of banana production in Brazil: Cavendish and Prata varieties. J. Clean. Prod. 2019, 207, 363–378. [Google Scholar] [CrossRef]
  18. Flores, S.J.R.; Benites, S.M.; Rosa, A.L.R.A.L.; Zoilita, A.L.Z.A.L.; Luis, A.S.L. The Using Lime (Citrus × aurantiifolia), Orange (Citrus × sinensis), and Tangerine (Citrus reticulata) Waste as a Substrate for Generating Bioelectricity: Using lime (Citrus × aurantiifolia), orange (Citrus × sinensis), and tangerine (Citrus reticulata) waste as a substrate for generating bioelectricity. Environ. Res. Eng. Manag. 2020, 76, 24–34. [Google Scholar]
  19. Rahman, W.; Yusup, S.; Mohammad, S.A. Screening of fruit waste as substrate for microbial fuel cell (MFC). AIP Conf. Proc. 2021, 2332, 020003. [Google Scholar]
  20. Toding OS, L.; Virginia, C.; Suhartini, S. Conversion banana and orange peel waste into electricity using a microbial fuel cell. IOP Conf. Ser. Earth Environ. Sci. 2018, 209, 012049. [Google Scholar]
  21. Chen, C.Y.; Tsai, T.H.; Wu, P.S.; Tsao, S.E.; Huang, Y.S.; Chung, Y.C. Selection of electrogenic bacteria for microbial fuel cell in removing Victoria blue R from wastewater. J. Environ. Sci. Health Part A 2018, 53, 108–115. [Google Scholar] [CrossRef]
  22. Rojas-Flores, S.; Pérez-Delgado, O.; Nazario-Naveda, R.; Rojales-Alfaro, H.; Benites, S.M.; La Cruz-Noriega, D.; Otiniano, N.M. Potential Use of Papaya Waste as a Fuel for Bioelectricity Generation. Processes 2021, 9, 1799. [Google Scholar] [CrossRef]
  23. Sacco, N.J.; Bonetto, M.C.; Cortón, E. Isolation and characterization of a novel electrogenic bacterium, Dietzia sp. RNV-4. PLoS ONE 2017, 12, e0169955. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Hassan, S.H.; Abd el Nasser, A.Z.; Kassim, R.M. Electricity generation from sugarcane molasses using microbial fuel cell technologies. Energy 2019, 178, 538–543. [Google Scholar] [CrossRef]
  25. De La Cruz-Noriega, M.; Rojas-Flores, S.; Benites, S.M.; Álvarez, M.Q.; García, N.O.; Yupanqui, M.R. Use of Leuconostoc Mesenteroides to Produce a Dextran Bioflocculant. Environ. Res. Eng. Manag. 2022, 78, 38–45. [Google Scholar] [CrossRef]
  26. Zhao, N.; Jiang, Y.; Alvarado-Morales, M.; Treu, L.; Angelidaki, I.; Zhang, Y. Electricity generation and microbial communities in microbial fuel cell powered by macroalgal biomass. Bioelectrochemistry 2018, 123, 145–149. [Google Scholar] [CrossRef] [PubMed]
  27. Chen, J.; Hu, Y.; Huang, W.; Liu, Y.; Tang, M.; Zhang, L.; Sun, J. Biodegradation of oxytetracycline and electricity generation in a microbial fuel cell within situ dual graphene-modified bioelectrode. Bioresour. Technol. 2018, 270, 482–488. [Google Scholar] [CrossRef] [PubMed]
  28. Shukla, M.; Kumar, S. Algal growth in photosynthetic algal microbial fuel cells and its subsequent utilization for biofuels. Renew. Sustain. Energy Rev. 2018, 82, 402–414. [Google Scholar] [CrossRef]
  29. Leiva, E.; Leiva-Aravena, E.; Rodríguez, C.; Serrano, J.; Vargas, I. Arsenic removal mediated by acidic pH neutralization and iron precipitation in microbial fuel cells. Sci. Total Environ. 2018, 645, 471–481. [Google Scholar] [CrossRef]
  30. Gadkari, S.; Fontmorin, J.M.; Yu, E.; Sadhukhan, J. Influence of temperature and other system parameters on microbial fuel cell performance: Numerical and experimental investigation. Chem. Eng. J. 2020, 388, 124176. [Google Scholar] [CrossRef]
  31. Lang, Y.; Yu, Y.; Zou, H.; Ye, J.; Zhang, S.; Chen, J. Flavin mononucleotide-stimulated microbial fuel cell for efficient gaseous toluene abatement. Chemosphere 2022, 287, 132247. [Google Scholar] [CrossRef]
  32. Pazmiño-Hernandez, M.; Moreira, C.M.; Pullammanappallil, P. Feasibility assessment of waste banana peduncle as feedstock for biofuel production. Biofuels 2019, 10, 473–484. [Google Scholar] [CrossRef]
  33. Tremouli, A.; Karydogiannis, I.; Pandis, P.K.; Papadopoulou, K.; Argirusis, C.; Stathopoulos, V.N.; Lyberatos, G. Bioelectricity production from fermentable household waste extract using a single chamber microbial fuel cell. Energy Procedia 2019, 161, 2–9. [Google Scholar] [CrossRef]
  34. Yu, B.; Feng, L.; He, Y.; Yang, L.; Xun, Y. Effects of anode materials on the performance and anode microbial community of soil microbial fuel cell. J. Hazard. Mater. 2021, 401, 123394. [Google Scholar] [CrossRef] [PubMed]
  35. Lawson, K.; Rossi, R.; Regan, J.M.; Logan, B.E. Impact of cathodic electron acceptor on microbial fuel cell internal resistance. Bioresour. Technol. 2020, 316, 123919. [Google Scholar] [CrossRef]
  36. Kebaili, H.; Kameche, M.; Innocent, C.; Benayyad, A.; Kosimaningrum, W.E.; Sahraoui, T. Scratching and transplanting of electro-active biofilm in fruit peeling leachate by ultrasound: Re-inoculation in a new microbial fuel cell for enhancement of bio-energy production and organic matter detection. Biotechnol. Lett. 2020, 42, 965–978. [Google Scholar] [CrossRef] [PubMed]
  37. Kondaveeti, S.; Mohanakrishna, G.; Kumar, A.; Lai, C.; Lee, J.K.; Kalia, V.C. Exploitation of citrus peel extract as a feedstock for power generation in Microbial Fuel Cell (MFC). Indian J. Microbiol. 2019, 59, 476–481. [Google Scholar] [CrossRef]
  38. Saragih, B.; Saragih NA, D. FTIR (Fourier Transform Infra-Red) profile of banana corm flour, nutritional value, and sensory properties of resulting brownies. J. Phys. Conf. Ser. 2021, 1882, 012112. [Google Scholar] [CrossRef]
  39. El-Din, G.A.; Amer, A.A.; Malsh, G.; Hussein, M. Study on the use of banana peels for oil spill removal. Alex. Eng. J. 2018, 57, 2061–2068. [Google Scholar] [CrossRef]
  40. Tahir, M.H.; Zhao, Z.; Ren, J.; Rasool, T.; Naqvi, S.R. Thermo-kinetics and gaseous product analysis of banana peel pyrolysis for its bioenergy potential. Biomass Bioenergy 2019, 122, 193–201. [Google Scholar] [CrossRef]
  41. Valenzuela-González, F.; Casillas-Hernández, R.; Villalpando, E.; Vargas-Albores, F. El gen ARNr 16S en el estudio de comunidades microbianas marinas [The 16S rRNA Gene in the Study of Marine Microbial Communities]. Cienc. Mar. 2015, 41, 297–313. [Google Scholar] [CrossRef] [Green Version]
  42. Paz-Zarza, V.M.; Mangwani-Mordani, S.; Martínez-Maldonado, A.; Álvarez-Hernández, D.; Solano-Gálvez, S.G.; Vázquez-López, R. Pseudomonas aeruginosa: Patogenicidad y resistencia antimicrobiana en la infección urinaria [Pseudomonas aeruginosa: Pathogenicity and Antimicrobial Resistance in Urinary Tract Infection]. Rev. Chil. Infectología 2019, 36, 180–189. [Google Scholar] [CrossRef] [Green Version]
  43. Strateva, T.; Yordanov, D. Pseudomonas aeruginosa—A phenomenon of bacterial resistance. J. Med. Microbiol. 2009, 58, 1133–1148. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Yousaf, S.; Anam, M.; Ali, N. Evaluating the production and bio-stimulating effect of 5-methyl 1, hydroxy phenazine on microbial fuel cell performance. Int. J. Environ. Sci. Technol. 2017, 14, 1439–1450. [Google Scholar] [CrossRef]
  45. Ali, N.; Anam, M.; Yousaf, S.; Maleeha, S.; Bangash, Z. Characterization of the Electric Current Generation Potential of the Pseudomonas aeruginosa Using Glucose, Fructose, and Sucrose in Double Chamber Microbial Fuel Cell. Iran. J. Biotechnol. 2017, 15, 216–223. [Google Scholar] [CrossRef] [Green Version]
  46. Fujita, A.; Kimura, K.; Yokoyama, S.; Jin, W.; Wachino, J.; Yamada, K.; Suematsu, H.; Yamagishi, Y.; Mikamo, H.; Arakawa, Y. Characterization of Piperacillin/Tazobactam-Resistant Klebsiella oxytoca Recovered from a Nosocomial Outbreak. PLoS ONE 2015, 10, e0142366. [Google Scholar] [CrossRef] [PubMed]
  47. Higashi, B.; Mariano, T.B.; de Abreu Filho, B.A.; Gonçalves RA, C.; de Oliveira AJ, B. Effects of fructans and probiotics on the inhibition of Klebsiella oxytoca and the production of short-chain fatty acids assessed by NMR spectroscopy. Carbohydr. Polym. 2020, 248, 116832. [Google Scholar] [CrossRef] [PubMed]
  48. Tahir, C.A.; Pásztory, Z.; Agarwal, C.; Csóka, L. Electricity Generation and Wastewater Treatment with Membrane-Less Microbial Fuel Cell. In Application of Microbes in Environmental and Microbial Biotechnology; Springer: Singapore, 2022; pp. 235–261. [Google Scholar]
  49. Moon, J.-Y.; Lim, J.-M.; Ahn, J.-H.; Weon, H.-Y.; Kwon, S.-W.; Kim, S.-J. Paenalcaligenes suwonensis sp. nov., isolated from spent mushroom compost. Int. J. Syst. Evol. Microbiol. 2014, 64 Pt 3, 882–886. [Google Scholar] [CrossRef]
  50. Wang, Y.; Jiang, X.; Xu, Z.; Ying, C.; Yu, W.; Xiao, Y. Identification of Raoultella terrigena as a Rare Causative Agent of Subungual Abscess Based on 16S rRNA and Housekeeping Gene Sequencing. Can. J. Infect. Dis. Med. Microbiol. 2016, 2016, 1–4. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Microbial fuel cell prototype.
Figure 1. Microbial fuel cell prototype.
Processes 10 00942 g001
Figure 2. Values of (a) voltage and (b) electrical current monitored from microbial fuel cells.
Figure 2. Values of (a) voltage and (b) electrical current monitored from microbial fuel cells.
Processes 10 00942 g002
Figure 3. Monitoring of (a) pH, (b) conductivity, and (c) Brix values of microbial fuel cells.
Figure 3. Monitoring of (a) pH, (b) conductivity, and (c) Brix values of microbial fuel cells.
Processes 10 00942 g003aProcesses 10 00942 g003b
Figure 4. (a) Values of internal resistance and (b) power density according to current density.
Figure 4. (a) Values of internal resistance and (b) power density according to current density.
Processes 10 00942 g004
Figure 5. FTIR spectra of banana waste in its initial and final state.
Figure 5. FTIR spectra of banana waste in its initial and final state.
Processes 10 00942 g005
Figure 6. Dendrogram of bacterial clusters isolated from the MFC anode plate with banana substrate.
Figure 6. Dendrogram of bacterial clusters isolated from the MFC anode plate with banana substrate.
Processes 10 00942 g006
Table 1. BLAST characterization of the rDNA sequence of bacteria isolated from the MFC anode plate with banana juice substrates.
Table 1. BLAST characterization of the rDNA sequence of bacteria isolated from the MFC anode plate with banana juice substrates.
Sample
Identification
BLAST CharacterizationLength of Consensus Sequence (nt)% Maximum IdentityAccession NumberPhylogeny
BANANAPseudomonas aeruginosa1442100.00MT633047.1Cellular organisms; Bacterium; Proteobacterium; Gammaproteobacterium; Pseudomonadales; Pseudomonadaceae; Pseudomonas; Pseudomonas aeruginosa group
BANANAPaenalcaligenes suwonensis146899.09NR_133804.1Cellular organisms; Bacterium; Proteobacterium; Betaproteobacteria; Burkholderiales; Alcaligenaceae; Paenalcaligenes
BANANAKlebsiella oxytoca146899.39NR_118853.1Cellular organisms; Bacterium; Proteobacterium; Gammaproteobacterium; Enterobacter; Enterobacteriaceae; Klebsiella
BANANARaoultella terrigena147599.80LR131271.1Cellular organisms; Bacterium; Proteobacterium; Gammaproteobacterium; Enterobacter; Enterobacteriaceae; Raoultella
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Rojas-Flores, S.; De La Cruz-Noriega, M.; Nazario-Naveda, R.; Benites, S.M.; Delfín-Narciso, D.; Angelats-Silva, L.; Murga-Torres, E. Use of Banana Waste as a Source for Bioelectricity Generation. Processes 2022, 10, 942. https://doi.org/10.3390/pr10050942

AMA Style

Rojas-Flores S, De La Cruz-Noriega M, Nazario-Naveda R, Benites SM, Delfín-Narciso D, Angelats-Silva L, Murga-Torres E. Use of Banana Waste as a Source for Bioelectricity Generation. Processes. 2022; 10(5):942. https://doi.org/10.3390/pr10050942

Chicago/Turabian Style

Rojas-Flores, Segundo, Magaly De La Cruz-Noriega, Renny Nazario-Naveda, Santiago M. Benites, Daniel Delfín-Narciso, Luis Angelats-Silva, and Emzon Murga-Torres. 2022. "Use of Banana Waste as a Source for Bioelectricity Generation" Processes 10, no. 5: 942. https://doi.org/10.3390/pr10050942

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop