title: Prediction of free air space in initial composting mixtures by a statistical design approach.
abstract: Free air space (FAS) is a physical parameter that can play an important role in composting processes to maintain favourable aerobic conditions. Aiming to predict the FAS of initial composting mixtures, specific materials proportions ranged from 0 to 1 were tested for a case study comprising industrial potato peel, which is characterized by low air void volume, thus requiring additional components for its composting. The characterization and prediction of FAS for initial mixtures involving potato peel, grass clippings and rice husks (set A) or sawdust (set B) was accomplished by means of an augmented simplex-centroid mixture design approach. The experimental data were fitted to second order Scheffé polynomials. Synergistic or antagonistic effects of mixture proportions in the FAS response were identified from the surface and response trace plots in the FAS response. Moreover, a good agreement was achieved between the model predictions and supplementary experimental data. Moreover, theoretical and empirical approaches for estimating FAS available in literature were compared with the predictions generated by the mixture design approach. This study demonstrated that the mixture design methodology can be a valuable tool to predict the initial FAS of composting mixtures, specifically in making adjustments to improve composting processes containing primarily potato peel.
authors.affiliation: Cernas - Natural Resources, Environment and Society Research Centre, College of Agriculture, Polytechnic Institute of Coimbra, Bencanta, P-3040-316 Coimbra, Portugal. msoares@esac.pt
authors.forename: Micaela A R
authors.initials: MA
authors.lastname: Soares
authors.forename: Margarida J
authors.initials: MJ
authors.lastname: Quina
authors.forename: Rosa
authors.initials: R
authors.lastname: Quinta-Ferreira
mesh_terms: D000388:Air; D003627:Data Interpretation, Statistical; D007220:Industrial Waste; D015233:Models, Statistical; D008962:Models, Theoretical; D012275:Oryza; D006109:Poaceae; D012037:Refuse Disposal / Q000379:methods* / Q000706:statistics & numerical data*; D012044:Regression Analysis; D015203:Reproducibility of Results; D012987:Soil; D011198:Solanum tuberosum; D014934:Wood
chemical_list: D007220:Industrial Waste; D012987:Soil
keywords: Composting; Free air space; Industrial potato peel; Mixture design