Value-added productsValue-added products of microbialMicrobial fermentationMicrobial fermentation are citric acid, vitamins, ethanol, lactic acid, bioplastics, enzymes, amino acids, antibiotics, single-cell protein, and biogas. In this study, anaerobic digestionAnaerobic digestion, another microbial fermentationMicrobial fermentation technique, was carried out to determine the biogas production potential of codigested cassava peel, sugarcane bagasse, and poultry manure. Prior to conducting the experiment, the potential of the feedstock mixture for biogas generation was analyzed using Fourier Transform Infrared Spectroscopy (FTIR), Energy Dispersive X-ray Fluorescence (EDXRF), Scanning Electron Microscopy (SEM), and UV spectroscopy. In bioreactor A and B, 200 mg/L and 300 mg/L of Clostridium welchiiClostridium welchii isolated from goat feces was, respectively, added and digested for 40 days. Error analysis was carried out to ascertain the extent of fit to 5 biogas kineticBiogas kinetics models; namely, First-Order, Modified First-Order, Transfert, Richards and Transference function model. The parameters in those models were determined using Excel Solver. First-Order kinetic model gives a coefficient of determination (COD), R2 = 0.7081 and 0.7477 for setup A and B, representing the best fit, followed by Modified First-Order and Transference function models. Generally, Setup B combines simplicity, stability, and the lowest error values, making it the most accurate and reliable for modeling cumulative biogas yield (CBY) in this study. It shows that the higher the population of microorganism, the more stable the system will be. Using similar feedstock, different microorganisms may be isolated specifically for biogas production and their performance analyzed via microbialMicrobial growth and/or biogas kineticBiogas kinetics models.

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Microbial Fermentation Strategy for Converting Organic Waste to Value-Added Product

  • Abdulhalim Musa Abubakar,
  • Hamadou Mamoudou,
  • Rashid Shamsuddin,
  • Saroj Raj Kafle

摘要

Value-added productsValue-added products of microbialMicrobial fermentationMicrobial fermentation are citric acid, vitamins, ethanol, lactic acid, bioplastics, enzymes, amino acids, antibiotics, single-cell protein, and biogas. In this study, anaerobic digestionAnaerobic digestion, another microbial fermentationMicrobial fermentation technique, was carried out to determine the biogas production potential of codigested cassava peel, sugarcane bagasse, and poultry manure. Prior to conducting the experiment, the potential of the feedstock mixture for biogas generation was analyzed using Fourier Transform Infrared Spectroscopy (FTIR), Energy Dispersive X-ray Fluorescence (EDXRF), Scanning Electron Microscopy (SEM), and UV spectroscopy. In bioreactor A and B, 200 mg/L and 300 mg/L of Clostridium welchiiClostridium welchii isolated from goat feces was, respectively, added and digested for 40 days. Error analysis was carried out to ascertain the extent of fit to 5 biogas kineticBiogas kinetics models; namely, First-Order, Modified First-Order, Transfert, Richards and Transference function model. The parameters in those models were determined using Excel Solver. First-Order kinetic model gives a coefficient of determination (COD), R2 = 0.7081 and 0.7477 for setup A and B, representing the best fit, followed by Modified First-Order and Transference function models. Generally, Setup B combines simplicity, stability, and the lowest error values, making it the most accurate and reliable for modeling cumulative biogas yield (CBY) in this study. It shows that the higher the population of microorganism, the more stable the system will be. Using similar feedstock, different microorganisms may be isolated specifically for biogas production and their performance analyzed via microbialMicrobial growth and/or biogas kineticBiogas kinetics models.