ArticleSensors (Basel, Switzerland)2024
Embedded IoT Design for Bioreactor Sensor Integration.
Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Traditional fermented food microbial ecosystems oriented towards industrial standards: multi-dimensional characterization and artificial regulation.NPJ science of food · 2026Review
- An IoT-Enabled Modular 3D Bioreactor for Vascular Tissue Engineering: Design, Fabrication, and Biological Validation.Bioengineering (Basel, Switzerland) · 2026Article
- Smart-driven bioengineering techniques for enhancing microalgal biohydrogen production.Biotechnology for biofuels and bioproducts · 2026Review
- Biology-aware scaling of microalgal biofuels: bioprocess constraints and data-centric digital twins.Frontiers in microbiology · 2026Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
This paper proposes an embedded Internet of Things (IoT) system for bioreactor sensor integration, aimed at optimizing temperature and turbidity control during cell cultivation. Utilizing an ESP32 development board, the system makes advances on previous iterations by incorporating superior analog-to-digital conversion capabilities, dual-core processing, and integrated Wi-Fi and Bluetooth connectivity. The key components include a DS18B20 digital temperature sensor, a TS-300B turbidity sensor, and a Peltier module for temperature regulation. Through real-time monitoring and data transmission to cloud platforms, the system facilitates advanced process control and optimization. The experimental results on yeast cultures demonstrate the system's effectiveness at maintaining optimal growth, highlighting its potential to enhance bioprocessing techniques. The proposed solution underscores the practical applications of the IoT in bioreactor environments, offering insights into the improved efficiency and reliability of culture cultivation processes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.