Literature DB >> 9593577

Applications of infrared spectroscopy to medical biology.

P Franck1, P Nabet, B Dousset.   

Abstract

This short review presents the great power of Fourier transform infrared (FT-IR) spectroscopy in the field of medicinal biology. New spectrometers as well as new accessories for sampling have significantly contributed to extend the application fields of the infrared techniques. During the past few years, it has been pointed out that FT-IR spectroscopy can be used to identify bacteria, to characterize neoplasic changes from biopsies, to recognize the various forms of arthritis by analysis of synovial fluid. This paper intends also to illustrate two clinical chemistry applications: the determination of the fecal lipids by FT-IR spectroscopy with an attenuated total reflectance accessory (ATR) and the measurement of the carbone monoxide in blood.

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Year:  1998        PMID: 9593577

Source DB:  PubMed          Journal:  Cell Mol Biol (Noisy-le-grand)        ISSN: 0145-5680            Impact factor:   1.770


  5 in total

1.  Application of linear discriminant analysis and Attenuated Total Reflectance Fourier Transform Infrared microspectroscopy for diagnosis of colon cancer.

Authors:  Mohammadreza Khanmohammadi; Amir Bagheri Garmarudi; Simin Samani; Keyvan Ghasemi; Ahmad Ashuri
Journal:  Pathol Oncol Res       Date:  2010-12-31       Impact factor: 3.201

2.  Fourier-transform infrared spectroscopic imaging of articular cartilage and biomaterials: A review.

Authors:  Nagarajan Ramakrishnan; Yang Xia
Journal:  Trends Appl Spectrosc       Date:  2013

3.  Fourier-transform infrared spectroscopic analysis is a powerful tool for studying the dynamic changes in Staphylococcus aureus small-colony variants.

Authors:  Karsten Becker; Nahed Al Laham; Wolfgang Fegeler; Richard A Proctor; Georg Peters; Christof von Eiff
Journal:  J Clin Microbiol       Date:  2006-09       Impact factor: 5.948

Review 4.  Perspectives in the utilisation of Fourier-transform infrared spectroscopy of serum in sports medicine: health monitoring of athletes and prevention of doping.

Authors:  C Petibois; G Déléris; G Cazorla
Journal:  Sports Med       Date:  2000-06       Impact factor: 11.928

5.  Influence of a Deep Learning Noise Reduction on the CT Values, Image Noise and Characterization of Kidney and Ureter Stones.

Authors:  Andrea Steuwe; Birte Valentin; Oliver T Bethge; Alexandra Ljimani; Günter Niegisch; Gerald Antoch; Joel Aissa
Journal:  Diagnostics (Basel)       Date:  2022-07-05
  5 in total

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