Literature DB >> 25558776

Applications of FT-IR spectrophotometry in cancer diagnostics.

Andrei A Bunaciu1, Vu Dang Hoang, Hassan Y Aboul-Enein.   

Abstract

This review provides a brief background to the application of infrared spectroscopy, including Fourier transform-infrared spectroscopy, in biological fluids. It is not meant to be complete or exhaustive but to provide the reader with sufficient background for selected applications in cancer diagnostics. Fourier transform-infrared spectroscopy (FT-IR) is a fast and nondestructive analytical method. The infrared spectrum of a mixture serves as the basis to quantitate its constituents, and a number of common clinical chemistry tests have proven to be feasible using this approach. This review focuses on biomedical FT-IR applications, published in the period 2009-2013, used for early detection of cancer through qualitative and quantitative analysis.

Entities:  

Keywords:  FT-IR spectroscopy; biomedical analysis; clinical diagnosis; early detection of cancer

Mesh:

Year:  2015        PMID: 25558776     DOI: 10.1080/10408347.2014.904733

Source DB:  PubMed          Journal:  Crit Rev Anal Chem        ISSN: 1040-8347            Impact factor:   6.535


  5 in total

1.  Prediction of tumor size in patients with invasive ductal carcinoma using FT-IR spectroscopy combined with chemometrics: a preliminary study.

Authors:  Zhimin Zhu; Chen Chen; Cheng Chen; Ziwei Yan; Fangfang Chen; Bo Yang; Huiting Zhang; Huijie Han; Xiaoyi Lv
Journal:  Anal Bioanal Chem       Date:  2021-03-22       Impact factor: 4.142

Review 2.  Edge-Computing and Machine-Learning-Based Framework for Software Sensor Development.

Authors:  Pál Péter Hanzelik; Alex Kummer; János Abonyi
Journal:  Sensors (Basel)       Date:  2022-06-03       Impact factor: 3.847

3.  Early detection of breast cancer using total biochemical analysis of peripheral blood components: a preliminary study.

Authors:  Udi Zelig; Eyal Barlev; Omri Bar; Itai Gross; Felix Flomen; Shaul Mordechai; Joseph Kapelushnik; Ilana Nathan; Hanoch Kashtan; Nir Wasserberg; Osnat Madhala-Givon
Journal:  BMC Cancer       Date:  2015-05-15       Impact factor: 4.430

4.  Prediction of Ewing Sarcoma treatment outcome using attenuated tissue reflection FTIR tissue spectroscopy.

Authors:  Radosław Chaber; Kornelia Łach; Christopher J Arthur; Anna Raciborska; Elżbieta Michalak; Krzysztof Ciebiera; Katarzyna Bilska; Katarzyna Drabko; Józef Cebulski
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

5.  Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) Spectroscopy Analysis of Saliva for Breast Cancer Diagnosis.

Authors:  Izabella C C Ferreira; Emília M G Aguiar; Alinne T F Silva; Letícia L D Santos; Léia Cardoso-Sousa; Thaise G Araújo; Donizeti W Santos; Luiz R Goulart; Robinson Sabino-Silva; Yara C P Maia
Journal:  J Oncol       Date:  2020-02-10       Impact factor: 4.375

  5 in total

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