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Related Concept Videos

Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
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Related Experiment Video

Updated: May 28, 2026

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
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Longitudinal Monitoring of Metabolic Gradients in Microreactor Culture Platforms by Raman Spectroscopy.

Maitane Márquez1,2, Javier Plou1, Stefan Merkens3

  • 1Nanoengineering Group, CIC nanoGUNE BRTA, Tolosa Hiribidea 76, 20018 San Sebastian, Spain.

Biosensors
|May 26, 2026
PubMed
Summary

This study introduces a novel 3D microreactor with Raman spectroscopy for real-time metabolic monitoring in cell cultures. It reveals how metabolic changes over time, not just space, drive cancer progression and treatment resistance.

Keywords:
Raman spectroscopymetabolic heterogeneitymicroreactorsreal-time monitoring

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Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
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Last Updated: May 28, 2026

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
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Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
13:48

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

Published on: May 29, 2012

Area of Science:

  • Biomedical Engineering
  • Cancer Biology
  • Spectroscopy

Background:

  • Metabolic heterogeneity fuels cancer progression and therapy resistance.
  • Current methods lack the spatial-temporal resolution to study metabolic dynamics in living systems.
  • Integrating 3D cell culture with real-time optical sensing is underdeveloped.

Purpose of the Study:

  • To develop an integrated platform for non-invasive, spatially resolved metabolic monitoring of living cell cultures.
  • To investigate the spatial and temporal dynamics of metabolic heterogeneity in the tumor microenvironment.
  • To enable mechanistic dissection of cell adaptation to microenvironmental stress and predict metabolic signatures related to drug response.

Main Methods:

  • Developed a 3D-printed microreactor culture chamber integrated with Raman spectroscopy.
  • Controlled oxygen and nutrient cues within the microreactor.
  • Acquired label-free Raman spectra for metabolic fingerprinting.
  • Analyzed metabolic variance across four cell lines.

Main Results:

  • The platform enabled real-time, label-free monitoring of extracellular metabolic fingerprints.
  • Temporal evolution was the primary source of metabolic variance, with spatial heterogeneity secondary.
  • Identified localized acidification and stress biomarkers (e.g., nucleotides) in diffusion-limited regions, undetectable by bulk assays.
  • Revealed metabolic shifts linked to cell catabolism (glucose, lactate) and acidification.

Conclusions:

  • The integrated microreactor-Raman platform offers a versatile tool for real-time metabolic mapping.
  • This approach allows for detailed mechanistic studies of cell adaptation to microenvironmental stress.
  • The findings support the prediction of metabolic signatures critical for understanding drug response and treatment outcomes.