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Related Concept Videos

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
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Related Experiment Video

Updated: Feb 28, 2026

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
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Raman Spectroscopic Signatures of Hepatic Carcinoma: Progress and Future Prospect.

Mina Kolahdouzmohammadi1,2, Erfaneh Shaygannia3, Kevan Wu4

  • 1Department of Surgery, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.

International Journal of Molecular Sciences
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

Raman spectroscopy offers a promising, non-invasive method for early liver cancer detection by analyzing biochemical changes in samples. Advanced analysis techniques enhance its diagnostic accuracy for this prevalent cancer.

Keywords:
Raman spectroscopybiomarkershepatocellular carcinomaliver cancer

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Area of Science:

  • Biomedical Optics
  • Analytical Chemistry
  • Oncology

Background:

  • Liver cancer remains a leading cause of cancer mortality worldwide.
  • Late diagnosis and lack of early biomarkers hinder effective treatment.
  • Raman spectroscopy presents a label-free, non-destructive technique for molecular profiling.

Purpose of the Study:

  • To review the current applications of Raman spectroscopy in liver cancer diagnosis.
  • To highlight key findings from studies utilizing various biological sample types.
  • To discuss challenges and future potential of Raman spectroscopy in clinical oncology.

Main Methods:

  • Analysis of biochemical alterations in biofluids (blood, urine, exosomes) and liver tissue using Raman spectroscopy.
  • Application of chemometric analysis, including machine learning and multivariate statistics, to interpret spectral data.
  • Integration of advanced techniques like Surface-Enhanced Raman Spectroscopy (SERS) and Raman Optical Activity (ROA).

Main Results:

  • Raman spectroscopy can differentiate malignant from non-malignant conditions by detecting subtle biochemical changes.
  • Chemometric analysis significantly improves diagnostic sensitivity and specificity.
  • Various sample types yield unique spectral fingerprints for liver cancer detection.

Conclusions:

  • Raman spectroscopy is a powerful tool for the early detection and diagnosis of liver cancer.
  • Advancements in analytical methods and complementary techniques enhance its clinical utility.
  • Further development is needed to establish Raman-based platforms as reliable diagnostic instruments in oncology.