Nair, V.V.Dhar, H.Kumar, S.Thalla, A.K.Mukherjee, S.Wong, J.W.C.2026-02-052016Bioresource Technology, 2016, 217, , pp. 90-999608524https://doi.org/10.1016/j.biortech.2016.03.046https://idr.nitk.ac.in/handle/123456789/25909The performance of a laboratory-scale anaerobic bioreactor was investigated in the present study to determine methane (CH<inf>4</inf>) content in biogas yield from digestion of organic fraction of municipal solid waste (OFMSW). OFMSW consists of food waste, vegetable waste and yard trimming. An organic loading between 40 and 120 kg VS/m3 was applied in different runs of the bioreactor. The study was aimed to focus on the effects of various factors, such as pH, moisture content (MC), total volatile solids (TVS), volatile fatty acids (VFAs), and CH<inf>4</inf> fraction on biogas production. OFMSW witnessed high CH<inf>4</inf> yield as 346.65 L CH<inf>4</inf>/kg VS added. A target of 60–70% of CH<inf>4</inf> fraction in biogas was set as an optimized condition. The experimental results were statistically optimized by application of ANN model using free forward back propagation in MATLAB environment. © 2016 Elsevier LtdBackpropagationBioconversionBiogasBioreactorsFatty acidsMethaneMunicipal solid wasteNeural networksOptimizationVolatile fatty acidsAnaerobic bioreactorsArtificial neural-network based modelingBiogas productionMATLAB environmentOptimized conditionsOrganic fraction of municipal solid wastesTotal volatile solidsVolatile fatty acids (VFAs)Anaerobic digestionbiogasmethanevolatile fatty acidbiofuelorganic compoundsolid wastewasteanoxic conditionsartificial neural networkbioreactorbiotechnologygas productionmunicipal solid wasteoptimizationorganic matterperformance assessmentvolatile substanceanaerobic bioreactoranaerobic digestionanaerobic reactorArticleback propagationgas chromatographymicrobial consortiummoisturenetwork learningpHpriority journalthermal conductivityvegetableanaerobic growthanalysisbiosynthesiscityfoodlaboratoryprincipal component analysisAnaerobiosisBiofuelsCitiesFatty Acids, VolatileFoodHydrogen-Ion ConcentrationLaboratoriesNeural Networks (Computer)Organic ChemicalsPrincipal Component AnalysisSolid WasteWaste Products