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| Main Authors: | , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
2025
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/40088845/ |
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Table of Contents:
- Advancing anaerobic microbial studies with in situ Raman spectroscopy: Methanogenic archaea as a model. Zhuo, Jintao Zheng, Rikuan Luan, Zhendong Li, Lianfu Xi, Shichuan Du, Zengfeng He, Wanying Sun, Chaomin Zhang, Xin Spectrum Analysis, Raman Methane Anaerobiosis Archaea Carbon Dioxide Methanol Methanogenic archaea play a critical role in methane (CH) production and the global carbon cycle, yet accurately monitoring their gas metabolism under anaerobic conditions remains a technical challenge. In this study, we developed a Raman spectroscopy-based gas quantification model, achieving high-precision monitoring of CO-N-CH ternary gas mixtures over a temperature range of 12-52 °C. The model exhibited strong linear correlations between the Raman peak area ratios and gas molar ratios, which were further validated against gas chromatography, revealing no significant differences (p > 0.05). This confirms the reliability and accuracy of the approach.. Building upon this model, we conducted real-time monitoring of the gas metabolism of methylotrophic methanogenic archaea under anaerobic conditions. The results demonstrated that methanol concentration significantly influenced the gas production kinetics. At a methanol concentration of 10 μL/mL, the highest CH yield (59.97 %) was achieved, along with stable metabolic activity. In contrast, higher concentrations caused substrate saturation effects, leading to decreased metabolic efficiency. Furthermore, by integrating Raman spectroscopy with high-precision pressure monitoring, this study successfully achieved real-time molar quantification of CH and CO during methanogen cultivation. This approach provided detailed insights into gas production dynamics and substrate utilization patterns. Compared to traditional methods, this non-destructive, real-time monitoring platform offers a novel tool for anaerobic metabolism research and lays a solid foundation for applications in biogas optimization, industrial fermentation, and renewable energy development.