CO2 monitoring system for storage of grains and seeds

Saath, Reni; Wenneck, Gustavo Soares; Pereira, Gustavo Lopes; Vila, Vinícius Villa e; Alves, Luís Henrique Brambilla

doi:10.13083/reveng.v30i1.14026

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…The operationalization of the carbon dioxide (CO 2 ) monitoring system can contribute as a tool to maintain the quality of grains stored throughout the year (Wenneck et al, 2022). The increase in CO 2 levels in grains is a reliable indicator of deterioration and, consequently, of taking corrective measures in real time (Neethirajan et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

CO2 monitoring associated with the quality of soybean grains stored in different moisture contentes

SOUZA,

RESENDE,

ZUCHI

et al. 2023

Food Sci. Technol (Campinas)

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The objective of this study was to quantify the levels of CO2 produced by soybeans stored at room temperature in a prototype silo, with initial moisture contents of 12, 14, and 16% (w.b.), as well as to evaluate the quality of the product over storage. Analyses of the moisture content, ash, proteins, lipids, color, germination, and electrical conductivity were performed. In the atmosphere in the silos, the amount of CO2, relative humidity, and temperature were monitored every hour using a CO2 meter data logger. Grain quality evaluations took place at four storage times (0, 30, 60, and 90 days). Analyses were performed in triplicate, and data were analyzed using analysis of variance and regression, adopting the 5% level of significance. The moisture contents, protein, lipids, germination, and color were reduced over time, resulting in a loss of grain quality. Soybeans initially stored with 16% (w.b.) of initial moisture content showed greater losses associated with the rise in the levels of CO2. The rise in CO2 emission in the internal atmosphere of the silo signals the beginning of grain deterioration and can be used as a decision-making tool, aiming at preventing and reducing losses in product quality over storage.

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Section: Introductionmentioning

confidence: 99%

CO2 monitoring associated with the quality of soybean grains stored in different moisture contentes

SOUZA,

RESENDE,

ZUCHI

et al. 2023

Food Sci. Technol (Campinas)

View full text Add to dashboard Cite

show abstract

Monitoring and predicting the quality of soybeans for different drying and storage technologies on a real scale using sensors and Machine Learning models

Lima,

Coradi,

Rodrigues

et al. 2024

Journal of Stored Products Research

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CO2 levels, technical breakage and quality of maize grains stored under different conditions

Souza,

Resende,

Zuchi

et al. 2024

Rev. bras. eng. agríc. ambient.

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The use of CO2 sensors has been reported as an effective tool in the early detection of signs of deterioration, allowing good accuracy in decision-making about the quality of stored grains. The objective of this study was to quantify the CO2 levels produced by maize grains stored at ambient temperature in a prototype silo, with initial moisture contents of 14, 16 and 18% w.b., and to evaluate the quality of the product over time and the technical breakage. Analyses of moisture content, ash, proteins, lipids, Hue Angle (color), germination and electrical conductivity were performed. Inside the silos, the amount of CO2, relative air humidity and temperature were monitored every hour. Grain quality evaluations were carried out at four storage times (0, 30, 60 and 90 days). A completely randomized design in a 3 × 4 factorial scheme with six replicates was used. Grains with higher moisture contents showed higher technical breakage and losses associated with CO2 emissions. Moisture content, protein, lipids, germination, bulk density, lightness and chroma decreased over time, while the electrical conductivity increased, resulting in greater damage to membranes and loss of quality of maize grains. Monitoring of CO2 in the grain mass is a good tool to assess the quality of grain, and higher initial moisture content caused greater level of CO2 emission and reduction in quality of maize grains.

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CO2 monitoring system for storage of grains and seeds

Cited by 3 publications

References 10 publications

CO2 monitoring associated with the quality of soybean grains stored in different moisture contentes

CO2 monitoring associated with the quality of soybean grains stored in different moisture contentes

Monitoring and predicting the quality of soybeans for different drying and storage technologies on a real scale using sensors and Machine Learning models

CO2 levels, technical breakage and quality of maize grains stored under different conditions

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