Evaluation of Laboratory‐Scale Composting Reactors to Simulate Compost Barn Bedding Dynamics

ABSTRACT Efficient management of compost bedding is essential for sustainability and animal welfare in Compost Barns (CBs). This study evaluated laboratory‐scale bioreactors as tools to simulate CB composting dynamics, focusing on temperature control, aeration, and wood shaving supplementation. Three sequential experiments were conducted. Test 1 used a 50:50 mix of shavings and compost bedding for three months. Test 2 operated 1‐week cycles with 100% compost bedding without temperature control. Test 3, also lasting 1 week, applied active temperature regulation at 39°C with 100% bedding. Aeration was set at 15 mL/min in Tests 2 and 3. All experiments included initial and final measurements of pH, total solids (TS), and microbiological indicators. Results indicated that temperature control in Test 3 improved organic matter degradation and suggested enhanced pathogen reduction. These findings demonstrate that laboratory‐scale bioreactors are effective for simulating CB composting and underscore the importance of temperature and aeration management. Future studies should further optimize temperature control and reactor design to enhance microbial activity and compost stabilization. To our knowledge, this is the first study to validate 3‑L laboratory‐scale bioreactors specifically for simulating CB bedding dynamics.

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Publication Details

Journal
Environmental Quality Management
Published
2025-12-21
DOI
https://doi.org/10.1002/tqem.70254
Primary Topic
Composting and Vermicomposting Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of Laboratory‐Scale Composting Reactors to Simulate Compost Barn Bedding Dynamics

Caio T. Inácio, Marcelo Henrique Otênio, Luana de Araújo Coimbra, Gabriela Maria Fernandes Fiães et al.
Environmental Quality Management
Composting and Vermicomposting Techniques
article

Evaluation of Laboratory‐Scale Composting Reactors to Simulate Compost Barn Bedding Dynamics

Caio T. Inácio, Marcelo Henrique Otênio, Luana de Araújo Coimbra, Gabriela Maria Fernandes Fiães, Leonardo de Souza Ramos
article en

Abstract

ABSTRACT Efficient management of compost bedding is essential for sustainability and animal welfare in Compost Barns (CBs). This study evaluated laboratory‐scale bioreactors as tools to simulate CB composting dynamics, focusing on temperature control, aeration, and wood shaving supplementation. Three sequential experiments were conducted. Test 1 used a 50:50 mix of shavings and compost bedding for three months. Test 2 operated 1‐week cycles with 100% compost bedding without temperature control. Test 3, also lasting 1 week, applied active temperature regulation at 39°C with 100% bedding. Aeration was set at 15 mL/min in Tests 2 and 3. All experiments included initial and final measurements of pH, total solids (TS), and microbiological indicators. Results indicated that temperature control in Test 3 improved organic matter degradation and suggested enhanced pathogen reduction. These findings demonstrate that laboratory‐scale bioreactors are effective for simulating CB composting and underscore the importance of temperature and aeration management. Future studies should further optimize temperature control and reactor design to enhance microbial activity and compost stabilization. To our knowledge, this is the first study to validate 3‑L laboratory‐scale bioreactors specifically for simulating CB bedding dynamics.

Environmental Quality ManagementVol. 35(3)
Universidade Federal de Juiz de Fora (BR), Brazilian Agricultural Research Corporation (BR), Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Responsible consumption and production
Openalex Percentile: Top 34%
Composting and Vermicomposting Techniques
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Evaluation of Laboratory‐Scale Composting Reactors to Simulate Compost Barn Bedding Dynamics — Caio T. Inácio, Marcelo Henrique Otênio, et al. · Environmental Quality Management (2025) | TGRS Research Map | TGRS