Patent Document ID: 9792404
Application ID: 14093520
Patent Flag: 1

Claim One:
1. A method for producing methane, hydrogen, or electricity with optimally-selected microorganisms to generate renewable energy from biological waste materials in a microbial fuel cell (MFC), in a wastewater treatment system, or in another energy-generating reactor, the method comprising the steps of: prior to performing a computerized data analysis, designing user-defined and user-desired metabolic smart properties criteria from microorganisms, wherein the user-defined and user-desired metabolic smart properties criteria represent each microorganism's ability to generate at least one of methane, hydrogen, and electricity induced by an anaerobic fermentation that accommodates biochemical interactions or digestion of the biological waste materials by at least a subset of the microorganisms; inputting the user-defined and user-desired metabolic smart properties criteria into a machine-learning processing system; generating combinations and sub-combinations of microorganisms' profiles for methanogenic, hydrogenic, and electrogenic properties designed by the user-defined and user-desired metabolic smart properties criteria in the machine-learning processing system, wherein the combinations and the sub-combinations of microorganisms' profiles contain genetic and chemical fingerprints of metabolic and energy-generating biological pathways specific to the user-defined and user-desired metabolic smart properties criteria; grouping the microorganisms into pathway characteristics by utilizing the combinations and sub-combinations of the microorganisms' profiles designed by the user-defined and user-desired metabolic smart properties criteria, wherein the step of grouping is executed on a CPU and a memory unit of the machine-learning processing system; identifying a newly-discovered microorganism from the machine-learning processing system from the pathway characteristics; generating a scoring system from the machine-learning processing system to quantify each microorganism's ability to satisfy the methanogenic, the hydrogenic, and the electrogenic properties designed by the user-defined and user-desired metabolic smart properties criteria; executing the scoring system in the machine-learning processing system to quantify whether the newly-discovered microorganism from the machine-learning processing system has a higher or lower likelihood of satisfying the user-defined and user-desired metabolic smart properties criteria; and generating methane, hydrogen, or electricity with the newly-discovered microorganism in the wastewater treatment system, in the microbial fuel cell (MFC), or in another energy-generating reactor, if the newly-discovered microorganism has the higher likelihood of satisfying the user-defined and user-desired metabolic smart properties criteria.