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Anaerobic digestion is a process that may be used to handle food scraps, and it is a method that is both effective and efficient. The biogas that is generated as a byproduct of this process has the potential to be utilized as a renewable source of bioenergy. Anaerobic digestion is a promising option to manage and treat food wastes and recover resources. To determine the efficiency of methane production, batch biochemical methane pot testing was performed. This paper reviews the system stability and efficiency of additives in anaerobic digestion. It is possible to produce biogas at different temperatures (27±2°C, 35±2°C, and 45±2°C). Biogas enhancement is dependent on temperature. The experiments were conducted for a 45-day digestion period.  The 35±2°C fermenter produced the highest total biogas yield of 13093.55 ml and the highest methane content of 63.71%. The study was designed to determine the optimal temperature for increasing household levels in future applications.

Due to high demand in the industry field, fuel supply has been reduced due to overconsumption. Algae served as the most promising biofuels; Cyanobacteria is preferred as a material for producing biodiesel based on the comparative advantage. Cyanobacteria can produce high lipids profiles that can be used to produce biofuel or biodiesel. The present investigation aimed to identify the application of Cyanobacteria that have proposed lipid standards for the algae biofuel industry. Three main objectives are involved in these experiments: to isolate and identify different strains of Cyanobacteria, convert the lipid from microalgae into biodiesel through transesterification, and estimate the proposed lipid standard of Cyanobacteria for the algae biofuel industry. The microalgae involve isolated using a plankton net. The water sample is brought into the lab for the identification of Cyanobacteria. After the Cyanobacteria are identified, the Cyanobacteria undergo mass cultivation to ensure the biomass is enough for lipid screening. After lipid content is identified, the lipid in the Cyanobacteria is extracted and further transesterification process. The GC analysis showed the variation of fatty acid in this cyanobacterium, a saturated, monounsaturated, and polyunsaturated fatty acid. The study also revealed that hexadecanoic acid, pentadecanoic acid and pentadecanoic acid was found in Oscillatoria sp. Lipid screening can determine the quantity of lipid present in the Cyanobacteria to estimate the lipid content for biofuel production.

This paper presents application of influence of degree of polymerization (DP) on optimally pretreated using a response surface methodology (RSM) approach for decreased DP level of optimal chemical and biological pretreatments from sunflower stalk. All experiments in this paper are applied by statistical designs for developing a statistic multifunction analysis model that focus on the effect of dissimilar factors for describing of the optimum values of the changed surface response on any variables. The process parameters of chemical model (Sodium Hydroxide concentration and Time) to pretreat for DP. The chemical pretreatment model was certified by 13 runs, at two factors, NaOH (1, 1.5, 2%) and Day (1, 2, 3) by central composite design (CCD). DP value of the chemical model was estimated by a Design Expert program version 11 trial: chemical model of DP highest and lowest of 25.80 and 6.16, consecutively. The aim of this experiments to investigate only DP from the chemical model of pretreatment. The procedure there are effective on sugar conversion and DP of the lignocellulosic biomass. Which pretreatment is a challenge for cost and competitive technology on large-scale of fermentable sugar in the step of hydrolysis.