An in-depth analysis of biogas production from locally agro-industrial by-products and residues. An Italian case

Recycling food and agriculture by-products to mitigate climate change: a review

“…According to the research results, using the by-products of edible plants as raw materials for biogas production has a series of advantages: (1) Possibility: the by-products of edible plants are renewable resources that can replace fossil energy; (2) Environmental protection: Using it as biogas raw material can discharge pollutants and have a positive effect on protection; (3) Economy: compared with the use of new raw materials such as biomass energy, the production cost can be reduced, and the economic benefit can be improved. However, at the same time, its use inevitably has some disadvantages, such as high treatment costs and the need to solve the problems of odor and waste treatment (Petrovič et al 2022;Scano et al 2021). Generally, in the future, with the output of edible plant by-products, the application of edible plant by-products as biogas raw materials will expand gradually.…”

Granular activated carbon stimulates biogas production in pilot-scale anaerobic digester treating agro-industrial wastewater

“…The fact that these types of waste can cause high levels of pollution, and that food production has to meet increasing demand as population grows, highlight the necessity for proper management. For example, the co-digestion of manure with other agroindustrial wastewaters, such as dairy wastewater and olive mill wastewater (OMW), has been examined in the past (Scano et al, 2021). It seems, that co-digestion could (1) provide a better nutrient balance, and (2) dilute possible toxic compounds, such as ammonia in manure and phenols in OMW, resulting in increased biogas production (Rubio et al, 2022) During the AD process, microbial communities share electrons among themselves, creating a set of interactions, known as "interspecies electron transfer" (IET) (Kato et al, 2012).…”

Investigation of Seasonal Variation in Fatty Acid and Mineral Concentrations of Pecorino Romano PDO Cheese: Imputation of Missing Values for Enhanced Classification and Metabolic Profile Reconstruction

“…Probabilistic Principal Component Analysis (PPCA) is a multivariate model that addresses some of the limitations of its deterministic formulation, as it provides the ability to reconstruct a data matrix wherever missing data are present while retaining a model parameter solution equivalent to that obtained from the conventional formulation [ 18 ]. In addition, PPCA offers a more robust classification model thanks to its probabilistic approach, which enables a better assessment of the uncertainty in the resulting model response [ 19 ]. To the best of the authors’ knowledge, the study of the impact of seasonality on the nutritional properties of cheese through modelling methods capable of dealing with missing data appears to be lacking.…”