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Cultivating Precision: Comparative Analysis of Sensor-Based Yogurt Fermentation Monitoring Techniques

Ege Keskin, İhsan Ozan Yıldırım

TL;DR

This study tackles the lack of integrated evaluation of sensor modalities for monitoring yogurt fermentation. It deploys a single experimental framework to compare pH, impedance, DC resistance, optical permeability, CO2, and ambient conditions. Findings show that pH provides the most direct fermentation progress signal, while optical permeability and impedance offer informative noninvasive cues; CO2 suffers from sensor saturation in closed systems, and ambient metrics alone offer limited insight. The work lays a foundation for sensor fusion and consumer-friendly fermentation monitoring approaches.

Abstract

Fermented dairy products, including yogurt, are widely consumed for their nutritional and health benefits. While numerous methods exist to monitor and understand yogurt fermentation, the literature lacks an integrated evaluation of diverse sensing approaches within a single experimental framework. To address this gap, this study systematically examines and compares multiple measurement techniques--electrical impedance, DC resistance, pH, optical transparency, carbon dioxide concentration, ambient temperature, and relative humidity--in tracking the yogurt fermentation process. By presenting a unified set of experimental results and assessing each method's observational characteristics, this work offers an encompassing reference point for researchers seeking to understand the relative merits and limitations of different sensing modalities. Rather than establishing definitive guidelines or practical recommendations, the findings provide a foundation for subsequent investigations into sensor-based fermentation monitoring, thereby contributing to a more comprehensive understanding of yogurt fermentation dynamics.

Cultivating Precision: Comparative Analysis of Sensor-Based Yogurt Fermentation Monitoring Techniques

TL;DR

This study tackles the lack of integrated evaluation of sensor modalities for monitoring yogurt fermentation. It deploys a single experimental framework to compare pH, impedance, DC resistance, optical permeability, CO2, and ambient conditions. Findings show that pH provides the most direct fermentation progress signal, while optical permeability and impedance offer informative noninvasive cues; CO2 suffers from sensor saturation in closed systems, and ambient metrics alone offer limited insight. The work lays a foundation for sensor fusion and consumer-friendly fermentation monitoring approaches.

Abstract

Fermented dairy products, including yogurt, are widely consumed for their nutritional and health benefits. While numerous methods exist to monitor and understand yogurt fermentation, the literature lacks an integrated evaluation of diverse sensing approaches within a single experimental framework. To address this gap, this study systematically examines and compares multiple measurement techniques--electrical impedance, DC resistance, pH, optical transparency, carbon dioxide concentration, ambient temperature, and relative humidity--in tracking the yogurt fermentation process. By presenting a unified set of experimental results and assessing each method's observational characteristics, this work offers an encompassing reference point for researchers seeking to understand the relative merits and limitations of different sensing modalities. Rather than establishing definitive guidelines or practical recommendations, the findings provide a foundation for subsequent investigations into sensor-based fermentation monitoring, thereby contributing to a more comprehensive understanding of yogurt fermentation dynamics.
Paper Structure (26 sections, 11 figures)

This paper contains 26 sections, 11 figures.

Figures (11)

  • Figure 1: Measurement setup with various sensors integrated into the fermentation container lid. The seam of the lid was covered with a soft tape to provide thermal insulation.
  • Figure 2: Electrical impedance measurement contacts inside the fermentation container.
  • Figure 3: Structure of the data package sampled every minute during fermentation. Optical data is not present here since it required a separate data collection setup.
  • Figure 4: Change of pH throughout the fermentation process where the x axis is seconds
  • Figure 5: The change of relative humidity and temperature inside the fermentation cavity throughout the fermentation process
  • ...and 6 more figures