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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.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
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Raman Spectroscopy Instrumentation: Overview01:26

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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Gastrointestinal (GI) diagnostic studies are pivotal in confirming, ruling out, diagnosing, or staging various diseases, including cancers. Following diagnosis, allocating time for discussions with the patient and providing informational resources is crucial. Diagnostic assessments of the GI tract often occur in outpatient settings like endoscopy suites or GI labs. Preparation for these tests may include dietary restrictions, fasting, liquid bowel preparations, laxatives, enemas, and the...
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Rous Sarcoma Virus (RSV) and Cancer01:03

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Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
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Applications of IR Spectroscopy: Overview01:11

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The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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Related Experiment Video

Updated: Aug 6, 2025

Surface-enhanced Resonance Raman Scattering Nanoprobe Ratiometry for Detecting Microscopic Ovarian Cancer via Folate Receptor Targeting
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Serum Raman spectroscopy: Prognostic applications in oral cancers.

Panchali Saha1,2, Sharada Sawant1, Atul Deshmukh3

  • 1Tata Memorial Centre, Advanced Centre for Treatment, Education and Research in Cancer, Navi Mumbai, Maharashtra, India.

Head & Neck
|March 15, 2023
PubMed
Summary

Serum Raman spectroscopy (SRS) can identify oral cancer (OC) patients at high risk for recurrence after surgery. This non-invasive technique shows potential for early detection of minimal residual disease.

Keywords:
Raman spectroscopyloco-regional recurrenceoral squamous cell carcinomaserum

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Area of Science:

  • Biomedical Optics
  • Spectroscopy
  • Cancer Diagnostics

Background:

  • Loco-regional recurrences are a major cause of mortality in oral cancer (OC).
  • Field cancerization and minimal residual cancer contribute significantly to OC recurrence.
  • Identifying recurrence-prone OC subjects is crucial for effective patient management.

Purpose of the Study:

  • To evaluate the potential of serum Raman spectroscopy (SRS) for identifying oral cancer subjects prone to recurrence.
  • To assess the feasibility of using SRS for early detection of minimal residual disease post-surgery.

Main Methods:

  • Serum samples were collected from 8 healthy subjects and 57 OC subjects (with-recurrence, without-recurrence, suspicious-lesions) before and after surgical tumor excision.
  • Raman spectra were recorded and analyzed using multivariate statistical models.
  • OC subjects were followed up for 7 years to correlate spectral data with recurrence outcomes.

Main Results:

  • Serum Raman spectra from healthy subjects were 100% distinguishable from all oral cancer groups.
  • Post-surgery (AS) serum spectra allowed for high-accuracy discrimination (84%) between oral cancer patients with and without recurrence.
  • No significant spectral stratification was observed in pre-surgery (BS) samples, indicating the importance of post-surgical analysis.

Conclusions:

  • Serum Raman spectroscopy (SRS) demonstrates significant potential for identifying oral cancer patients at high risk of recurrence.
  • SRS can effectively stratify patients based on recurrence risk using serum collected as early as one week post-surgery.
  • This technique offers a promising non-invasive approach for monitoring minimal residual disease and guiding adjuvant therapy in oral cancer patients.