Micro-Incubator Protocol for Testing a CO2 Sensor for Early Warning of Spontaneous Combustion

A protocol for detecting the potential occurrence of spontaneous combustion (SC) in stored cottonseeds and peanuts using a micro-incubator is described. The protocol indicates how to quantify CO2 production rates and final CO2 levels in wet versus dry cottonseed and peanut samples, which can provide...

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Bibliographic Details
Published in:AgriEngineering 2024-11, Vol.6 (4), p.4294-4307
Main Authors: Pelletier, Mathew G., McIntyre, Joseph S., Holt, Greg A., Butts, Chris L., Lamb, Marshall C.
Format: Article
Language:English
Subjects:
Agribusiness
Carbon dioxide
Carbon dioxide concentration
Combustion
Commodities
Cotton
Design of experiments
Early warning systems
Experimental design
Fire detection
Fire safety
Heat
Industrial development
Insurance policies
Legumes
Metabolism
Moisture content
Oxidation
Peanuts
Relative humidity
Respiration
Risk management
Seeds
Spontaneous combustion
Storage facilities
Temperature
Warehouses
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Summary:A protocol for detecting the potential occurrence of spontaneous combustion (SC) in stored cottonseeds and peanuts using a micro-incubator is described. The protocol indicates how to quantify CO2 production rates and final CO2 levels in wet versus dry cottonseed and peanut samples, which can provide crucial data for the early detection of SC risk in storage facilities. The experimental design utilizes a micro-incubator to simulate conditions found in large bulk crop storage. Parameters monitored include CO2 concentration, temperature, and relative humidity. The protocol includes preparation methods, experimental procedures for both control (dry) and wet seed tests, and test termination criteria that allow for safe experimentation of likely pathogenic fungi. The protocol has three replicates for wet and dry conditions. The protocol is intended to facilitate future experimental studies and ultimately contribute to the development of a consistently reliable early warning fire detection system for SC in cottonseed and peanut warehouse facilities. A consistently reliable fire detection system would address a critical need in the cotton and peanut industry for improved fire risk management and insurability of storage facilities.
ISSN:2624-7402
2624-7402
DOI:10.3390/agriengineering6040242