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Related Experiment Video

Updated: Jul 20, 2026

Biocontained Carcass Composting for Control of Infectious Disease Outbreak in Livestock

Biocontained Carcass Composting for Control of Infectious Disease Outbreak in Livestock

Published on: May 6, 2010

An integrated biochemical and physical model for the composting process.

Francina Sole-Mauri¹, Josep Illa, Albert Magrí

¹University of Lleida, Avda Rovira Roure, 191, E-25198, Lleida, Spain. francina@macs.udl.es

Bioresource Technology

|September 5, 2006

Summary

A new dynamic model simulates the composting process by integrating microbial activity and biochemical reactions. This model accurately predicts composting outcomes, highlighting key factors for efficient organic waste decomposition.

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Published on: July 13, 2012

Area of Science:

Environmental Science
Biotechnology
Biochemical Engineering

Background:

Composting is a vital process for organic waste management.
Existing models often lack integration of diverse microbial actions and physical transfers.
Understanding these complex interactions is crucial for optimizing composting efficiency.

Purpose of the Study:

To develop a dynamic model of the composting process.
To integrate biochemical and physical aspects, including microbial populations and heat/mass transfer.
To identify key parameters influencing composting.

Main Methods:

Developed a dynamic model incorporating mesophilic and thermophilic bacteria, actinomycetes, and fungi.
Accounted for substrate specialization (carbohydrates, proteins, lipids, etc.) and hydrolysis products.
Integrated heat and mass transfer across gas, liquid, and solid phases, considering gas composition (N2, O2, CO2, NH3, H2O).

Main Results:

Model simulations showed satisfactory agreement with experimental data.
Sensitivity analysis identified critical parameters for accurate composting description.
Substrate partitioning and microbial population dynamics significantly impact the process.

Conclusions:

The developed dynamic model provides a robust framework for understanding composting.
Key factors include substrate breakdown by specialized microbes and gas-liquid equilibrium.
The model aids in optimizing composting for efficient organic waste management.