BioSim Incubator: A Non-Biological Egg Incubation Simulation Platform

This study presents the design, development, and evaluation of a BioSim incubator that integrates IoT-based environmental control with a biosimulation framework for predicting embryo development.The system employed an ESP8266 microcontroller, an SHT30 sensor, and a Node-RED/MQTT architecture to enable the real-time monitoring, automated actuation, and feedback control of temperature, humidity, and airflow.Experimental trials replicated the two key incubation stages: the development stage (Days 1-18, 37.5 0.2 , 50-55% RH) and the lockdown stage (Days 19-21, 37.5 0.2 , 65-70% RH).Results showed that the incubator maintained stable conditions within biologically favorable ranges, with only minor fluctuations that were rapidly corrected by the control logic.Comparison with practical risk guidelines indicated that the incubator's performance corresponded predominantly to the "guaranteed survival" zone.To extend evaluation beyond environmental parameters, a virtual embryo feedback system was implemented as part of the BioSim framework, mapping deviations in temperature and humidity to predicted biological outcomes, which consistently indicated healthy chick development.In addition to demonstrating technical feasibility, the BioSim incubator provides a safe and accessible tool for STEM education and training, allowing students to study the relationship between environmental control and biological development without the use of live eggs.

Authors

Publication Details

Journal
Sensors and Materials
Published
2025-12-05
DOI
https://doi.org/10.18494/sam5951
Primary Topic
Reproductive Biology and Fertility
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

BioSim Incubator: A Non-Biological Egg Incubation Simulation Platform

Pitikhate Sooraksa, Rapinpa Rasmidatta
Sensors and Materials
Reproductive Biology and Fertility
article

BioSim Incubator: A Non-Biological Egg Incubation Simulation Platform

Pitikhate Sooraksa, Rapinpa Rasmidatta
article en

Abstract

This study presents the design, development, and evaluation of a BioSim incubator that integrates IoT-based environmental control with a biosimulation framework for predicting embryo development.The system employed an ESP8266 microcontroller, an SHT30 sensor, and a Node-RED/MQTT architecture to enable the real-time monitoring, automated actuation, and feedback control of temperature, humidity, and airflow.Experimental trials replicated the two key incubation stages: the development stage (Days 1-18, 37.5 0.2 , 50-55% RH) and the lockdown stage (Days 19-21, 37.5 0.2 , 65-70% RH).Results showed that the incubator maintained stable conditions within biologically favorable ranges, with only minor fluctuations that were rapidly corrected by the control logic.Comparison with practical risk guidelines indicated that the incubator's performance corresponded predominantly to the "guaranteed survival" zone.To extend evaluation beyond environmental parameters, a virtual embryo feedback system was implemented as part of the BioSim framework, mapping deviations in temperature and humidity to predicted biological outcomes, which consistently indicated healthy chick development.In addition to demonstrating technical feasibility, the BioSim incubator provides a safe and accessible tool for STEM education and training, allowing students to study the relationship between environmental control and biological development without the use of live eggs.

Sensors and MaterialsVol. 37(12)
King Mongkut's Institute of Technology Ladkrabang
Openalex Percentile: Top 51%
Reproductive Biology and Fertility
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BioSim Incubator: A Non-Biological Egg Incubation Simulation Platform — Pitikhate Sooraksa, Rapinpa Rasmidatta · Sensors and Materials (2025) | TGRS Research Map | TGRS