Video Experimental Relacionado

Updated: Feb 11, 2026

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

Descifrando las respuestas al estrés por acetato en metanógenos mediante espectroscopia Raman de célula única marcada

Min Li¹, Xiuxia Meng², Erqi Nie³

¹College of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo 255000, China; Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China.

Bioresource technology

|February 9, 2026

Abstract:

Volatile fatty acid accumulation from rapid degradation of biodegradable substrates is a key challenge in anaerobic digestion. Methanosarcina barkeri shows exceptional adaptability and acetate stress tolerance, but the mechanisms are not fully understood at the single-cell level. Using heavy water-labeled single-cell Raman spectroscopy (D₂O-SCRS), we examined the physiological and metabolic responses of M. barkeri to different acetate concentration gradients. High acetate levels (200 mM) inhibited methane production and microbial growth. Raman analysis revealed concentration-dependent inhibition, with the C-D ratio (metabolic activity marker) dropping below 10% at 200 mM, compared to 10-30% at 50 and 100 mM. Multivariate analysis showed metabolic reprogramming and distinct phenotypic transitions under acetate stress. Principal component-linear discriminant analysis identified biomarkers for nucleic acids, proteins, and lipids, suggesting disruption of cellular functions. Together, these findings offer single-cell insights into M. barkeri's adaptive strategies and highlight the value of D₂O-SCRS in studying archaeal responses in anaerobic ecosystems.

Palabras clave:

Digestión anaeróbica Espectroscopia Raman con agua pesada Heterogeneidad metabólica Clasificación fenotípica Adaptación al estrés

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