ArticleAnalytical chemistry2025
Feasibility for Real-Time Monitoring of Bacterial Growth in Raw Milk Using a New Contactless Sensor.
Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Signal-Analytics Modeling of Fluorescence Time-to-Detection forACS omega · 2026Article
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9 authors.
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Abstract
A novel method was developed for real-time quantification of the total bacterial count in raw milk using an electrical bacterial growth sensor based on a capacitively coupled contactless resonance frequency detector. The proposed method continuously monitors changes in the resonance frequency induced by bacterial metabolic activity, allowing for the construction of growth curves without requiring sample pretreatment or reagent addition. Growth curve analysis was performed using the Gompertz model, and the inflection point (β) was used to construct a predictive model for determining the total bacterial count. A total of 55 raw milk samples were used for the predictive model and application of the proposed method, which were compared to the standard plate count reference method. The predictive model demonstrated a good coefficient of determination (
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Registered trials
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