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Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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Hydrostatic Water Displacement Sensing for Continuous Biogas Monitoring.

Marek Habara1, Jozef Molitoris1, Barbora Jankovičová2

  • 1Faculty of Mechanical Engineering, Slovak University of Technology in Bratislava, Námestie Slobody 17, 812 31 Bratislava, Slovakia.

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Summary

A new open-source platform enables continuous, low-cost monitoring of biogas and biomethane production. This automated system improves measurement accuracy and comparability, accelerating the development of sustainable energy technologies.

Keywords:
IoT platformPID temperature controlanaerobic digestionbiogascloud data acquisitioncontinuous monitoringhydrostatic water displacementpressure measurement

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Area of Science:

  • Biotechnology
  • Renewable Energy
  • Environmental Science

Background:

  • Biogas and biomethane are crucial for decarbonization and energy security.
  • Manual biogas measurement methods suffer from uncertainty and limited resolution.
  • Need for standardized, reliable biogas production monitoring exists.

Purpose of the Study:

  • To present an open-source, low-cost platform for continuous biogas monitoring.
  • To improve accuracy, temporal resolution, and comparability of biogas production measurements.
  • To facilitate the optimization and scale-up of biogas technologies.

Main Methods:

  • Utilized a hydrostatic water-displacement principle for gas volume measurement.
  • Implemented stabilized process conditions with precise temperature control (±0.02 °C).
  • Employed a 1 Hz sampling rate and cloud-based data visualization for continuous monitoring.

Main Results:

  • Achieved high measurement stability with low scatter (≈0.06 mL) and minimal drift (<0.15% per 24 h).
  • Demonstrated an expanded uncertainty of ≈3.1% at 100 mL.
  • The continuous method yielded 5.78% higher final volumes compared to discrete manual methods.

Conclusions:

  • The developed platform offers a replicable, cost-effective tool for biogas research and education.
  • Continuous monitoring enhances data quality, reproducibility, and accelerates technology development.
  • The system supports measurement standardization and the scale-up of biogas applications.