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Related Concept Videos

Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

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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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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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Updated: Dec 27, 2025

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
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Biofluid diagnostics by FTIR spectroscopy: A platform technology for cancer detection.

Alexandra Sala1, David J Anderson1, Paul M Brennan2

  • 1WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.

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|March 1, 2020
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Fourier Transform Infrared Spectroscopy (FTIR) offers a rapid, cost-effective method for early cancer detection using blood serum. This technology, combined with machine learning, shows promise for transforming cancer diagnosis and treatment pathways.

Keywords:
ATR-FTIRBiofluidsBrain tumourCancerEarly detectionInfrared spectroscopySerum

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Area of Science:

  • Biomedical Spectroscopy
  • Clinical Diagnostics
  • Cancer Research

Background:

  • Fourier Transform Infrared Spectroscopy (FTIR) is a valuable tool in scientific research for cancer diagnosis.
  • FTIR analysis of biofluids and tissues offers a rapid, cost-effective method for cancer detection.
  • Previous studies have explored FTIR for discriminating between cancerous and healthy samples.

Purpose of the Study:

  • To highlight the importance of early cancer detection using FTIR.
  • To discuss the suitability of human blood serum for FTIR analysis.
  • To review pre-clinical factors and clinical translation requirements for FTIR in cancer diagnostics.

Main Methods:

  • Utilizing Fourier Transform Infrared Spectroscopy (FTIR) for biofluid and tissue analysis.
  • Employing machine learning algorithms for sample classification.
  • Focusing on human blood serum as the primary biofluid for analysis.

Main Results:

  • FTIR demonstrates ease of use, speed, and cost-effectiveness in analyzing blood serum.
  • High sensitivity and specificity are achievable in classifying samples using FTIR and machine learning.
  • A prospective clinical validation study on brain tumors demonstrated successful application.

Conclusions:

  • FTIR holds significant potential for transforming cancer referral pathways through early detection.
  • The combination of FTIR and machine learning offers a powerful approach to cancer diagnostics.
  • Further development and clinical translation are crucial for realizing the full potential of FTIR in cancer care.