Literature DB >> 21158469

Theory of infrared microspectroscopy for intact fibers.

Brynmor J Davis1, P Scott Carney, Rohit Bhargava.   

Abstract

Infrared microspectroscopy is widely used for the chemical analysis of small samples. In particular, spectral properties of small cylindrical samples are important in forensic analysis, understanding relationships between microstructure and mechanical properties in fibers or fiber composites, and development of cosmetics and drugs for hair. The diameters of the constituent cylinders are typically of the order of the central wavelength of light used to probe the sample. Hence, structure and material spectral response are coupled and recorded spectra are usually distorted to the extent of becoming useless for molecular identification. In this paper, we apply rigorous optical theory to predict the spectral distortions observed in IR microspectroscopic data of fibers. The theory is used, first, to compute the changes that are observed for cylinders of various dimensions under different instrument configurations when compared to the bulk spectrum from the same material. We provide a method to recover intrinsic material spectral response from fibers by correcting for distortion introduced by the cylindrical structure. The theory reported here should enable the routine use of IR microspectroscopy and imaging for the molecular analysis of cylindrical domains in complex materials.

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Year:  2011        PMID: 21158469     DOI: 10.1021/ac102239b

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  10 in total

1.  Analysis of variance in spectroscopic imaging data from human tissues.

Authors:  Jin Tae Kwak; Rohith Reddy; Saurabh Sinha; Rohit Bhargava
Journal:  Anal Chem       Date:  2011-12-28       Impact factor: 6.986

2.  Attenuated total reflectance Fourier-transform infrared spectroscopic imaging for breast histopathology.

Authors:  Michael J Walsh; Andre Kajdacsy-Balla; Sarah E Holton; Rohit Bhargava
Journal:  Vib Spectrosc       Date:  2012-05-01       Impact factor: 2.507

3.  Label-free characterization of cancer-activated fibroblasts using infrared spectroscopic imaging.

Authors:  S E Holton; M J Walsh; A Kajdacsy-Balla; R Bhargava
Journal:  Biophys J       Date:  2011-09-20       Impact factor: 4.033

Review 4.  Infrared Spectroscopic Imaging Advances as an Analytical Technology for Biomedical Sciences.

Authors:  Tomasz P Wrobel; Rohit Bhargava
Journal:  Anal Chem       Date:  2018-02-06       Impact factor: 6.986

Review 5.  Infrared spectroscopic imaging: the next generation.

Authors:  Rohit Bhargava
Journal:  Appl Spectrosc       Date:  2012-10       Impact factor: 2.388

6.  On the importance of image formation optics in the design of infrared spectroscopic imaging systems.

Authors:  David Mayerich; Thomas van Dijk; Michael J Walsh; Matthew V Schulmerich; P Scott Carney; Rohit Bhargava
Journal:  Analyst       Date:  2014-08-21       Impact factor: 4.616

7.  High-definition infrared spectroscopic imaging.

Authors:  Rohith K Reddy; Michael J Walsh; Matthew V Schulmerich; P Scott Carney; Rohit Bhargava
Journal:  Appl Spectrosc       Date:  2013-01       Impact factor: 2.388

8.  Development of a practical spatial-spectral analysis protocol for breast histopathology using Fourier transform infrared spectroscopic imaging.

Authors:  F Nell Pounder; Rohith K Reddy; Rohit Bhargava
Journal:  Faraday Discuss       Date:  2016-06-23       Impact factor: 4.008

9.  Discrete frequency infrared microspectroscopy and imaging with a tunable quantum cascade laser.

Authors:  Matthew R Kole; Rohith K Reddy; Matthew V Schulmerich; Matthew K Gelber; Rohit Bhargava
Journal:  Anal Chem       Date:  2012-11-19       Impact factor: 6.986

10.  The effect of deformation of absorbing scatterers on Mie-type signatures in infrared microspectroscopy.

Authors:  Maren Anna Brandsrud; Reinhold Blümel; Johanne Heitmann Solheim; Achim Kohler
Journal:  Sci Rep       Date:  2021-02-25       Impact factor: 4.379

  10 in total

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