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Feasibility for Real-Time Monitoring of Bacterial Growth in Raw Milk Using a New Contactless Sensor
Charles A Haab1, Jussiane S Silva2, Adriano M Jaime1
1Departamento de Processamento de Energia Elétrica, Universidade Federal de Santa Maria, 97105-900 Santa Maria, Rio Grande do Sul, Brazil.
Analytical Chemistry
|October 30, 2025
Summary
A new electrical sensor quantifies total bacterial count in raw milk in real-time. This rapid, green method reduces analysis time from 48 to 8 hours, offering a promising alternative for dairy quality control.
Area of Science:
- Food Science
- Microbiology
- Sensor Technology
Background:
- Accurate and rapid quantification of bacterial load in raw milk is crucial for ensuring dairy product safety and quality.
- Traditional microbiological methods, such as the standard plate count, are time-consuming and labor-intensive.
- There is a need for faster, greener, and more efficient methods for real-time bacterial monitoring in raw milk.
Purpose of the Study:
- To develop and validate a novel electrical bacterial growth sensor for real-time quantification of total bacterial count in raw milk.
- To compare the performance of the proposed sensor method with the standard plate count reference method.
- To assess the greenness and time efficiency of the new method for dairy quality control.
Main Methods:
- Development of a capacitively coupled contactless resonance frequency detector for monitoring bacterial metabolic activity.
- Real-time measurement of resonance frequency changes to construct bacterial growth curves without sample pretreatment.
- Application of the Gompertz model to growth curves for predictive modeling of total bacterial count.
- Validation using 55 raw milk samples and comparison with the standard plate count method.
Main Results:
- The predictive model achieved a coefficient of determination (R^2) of 0.75.
- No significant difference was observed between the proposed method and the standard plate count (t-test, 95% confidence level).
- The method demonstrated a limit of detection of 2.40 log CFU mL^-1 and a higher greenness score (0.75 vs 0.39).
- Analysis time was reduced from 48 hours to 8 hours.
Conclusions:
- The developed electrical sensor provides a feasible, rapid, and green alternative for real-time bacterial monitoring in raw milk.
- The method enables efficient classification of raw milk quality according to established regulations.
- This technology offers a promising advancement for microbiological quality control in the dairy industry.
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