Using gases as biomarkers is receiving increasing attention across the field of gut health. The use of in-vitro digestion systems that measure gas is common to understand some of the complex systems that create these gases and previously have been conducted using long time period sampling schemes which miss important signatures regarding the dynamics of gas production. Here the development of a mono-compartment in-vitro digestion simulator capable of recording vital dynamic information in real-time including: CO₂ concentration; high sensitivity H₂ concentration; and pH are presented and validated utilising milk. The impact of a simplified bacterial model, bacterial population size and the presence of lactase are investigated. The favourable gas production outcomes are obtained when lactase is present, at 10⁶ CFU of bacteria, in good agreement with clinical observations. This proof-of-concept system demonstrates reliable and repeatable results and has the potential to enhance the information capacity of current and future in-vitro simulators.

在肠道健康领域，使用气体作为生物标志物正受到越来越多的关注。为了了解一些产生这些气体的复杂系统，通常使用测量气体的体外消化系统，并且以前使用长时间采样方案进行了采样，这些方案缺少有关气体生产动力学的重要特征。这里开发了一种单室体外消化模拟器，该模拟器能够实时记录重要的动态信息，包括：CO ₂浓度；高灵敏度H ₂专注; 介绍和使用牛奶验证pH值。研究了简化细菌模型，细菌种群大小和乳糖酶存在的影响。当乳糖酶存在于 细菌的10 ⁶ CFU条件下时，可获得良好的产气效果，与临床观察结果非常吻合。这个概念验证系统证明了可靠和可重复的结果，并且有可能增强当前和将来的体外模拟器的信息容量。