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IR Frequency Region: Fingerprint Region

IR Frequency Region: Fingerprint Region

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 C=O, C=N, and C=C occur between 1600–1850 cm−1.
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Updated: Jun 2, 2026

High-definition Fourier Transform Infrared (FT-IR) Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

High-definition Fourier Transform Infrared (FT-IR) Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

Published on: January 21, 2015

[Study on the meningoima using FT-mid-IR spectroscopy].

Wei-Qing Wan¹, Qing-Hua Pan, Gui-Jun Jia

¹College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China. weiqingw@sina.com

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|April 23, 2011

Summary

This summary is machine-generated.

Fourier-transform mid-infrared (FT-mid-IR) spectroscopy can differentiate benign and malignant meningioma tissues. This non-invasive technique analyzes spectral differences for accurate brain tumor diagnosis.

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Area of Science:

Biomedical Spectroscopy
Medical Physics
Oncology

Context:

Meningiomas are primary brain tumors originating from the meninges.
Accurate differentiation between benign and malignant meningiomas is crucial for treatment planning.
Current diagnostic methods may be invasive or time-consuming.

Purpose:

To investigate the potential of Fourier-transform mid-infrared (FT-mid-IR) spectroscopy combined with attenuated total reflectance (ATR) for distinguishing between benign and malignant meningioma tissues.
To analyze spectral differences in meningioma tissues based on histological type and grade of malignancy.
To evaluate the accuracy of FT-mid-IR spectroscopy in meningioma diagnosis.

Summary:

FT-mid-IR spectroscopy with ATR was used to analyze 24 meningioma tissue samples (12 benign, 12 malignant).
Significant spectral differences were observed between different meningioma subtypes and varying grades of malignancy.
Distinguishing features, particularly in the 1000-1500 cm⁻¹ range, allowed differentiation of malignant from benign tumors with >85% accuracy.

Impact:

FT-mid-IR spectroscopy offers a promising novel method for rapid, non-invasive brain tumor diagnosis.
This technique could complement or potentially replace existing invasive diagnostic procedures.
The findings support the development of spectroscopic tools for intraoperative tumor margin assessment.