Using Fourier transform IR spectroscopy to analyze biological materials

By M. Baker, Júlio Trevisan, P. Bassan, R. Bhargava, Holly J. Butler, K. Dorling, P. Fielden, Simon W. Fogarty, N. Fullwood, Kelly A. Heys and 11 more. Nature Protocols, 2014

1,764 citations recorded by the source corpus.

IR spectroscopy is an excellent method for biological analyses. It enables the nonperturbative, label-free extraction of biochemical information and images toward diagnosis and the assessment of cell functionality. Although not strictly microscopy in the conventional sense, it allows the construction of images of tissue or cell architecture by the passing of spectral data through a variety of computational algorithms. Because such images are constructed from fingerprint spectra, the notion is that they can be an objective reflection of the underlying health status of the analyzed sample. One of the major difficulties in the field has been determining a consensus on spectral pre-processing and data analysis. This manuscript brings together as coauthors some of the leaders in this field to allow the standardization of methods and procedures for adapting a multistage approach to a methodology that can be applied to a variety of cell biological questions or used within a clinical setting for disease screening or diagnosis. We describe a protocol for collecting IR spectra and images from biological samples (e.g., fixed cytology and tissue sections, live cells or biofluids) that assesses the instrumental options available, appropriate sample preparation, different sampling modes as well as important advances in spectral data acquisition. After acquisition, data processing consists of a sequence of steps including quality control, spectral pre-processing, feature extraction and classification of the supervised or unsupervised type. A typical experiment can be completed and analyzed within hours. Example results are presented on the use of IR spectra combined with multivariate data processing.

Subfields: Analytical Chemistry, Biophysics, Insect Science

View Paper: https://www.semanticscholar.org/paper/058cce5d3fe120b3bf068e33cbe57bcbb537b5a8

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Citations in the corpus

Phonon-polaritonics: enabling powerful capabilities for infrared photonics (2019, background): “These low-loss surface modes can be utilized for new capabilities in longer-wavelength infrared (LWIR) spectroscopic sensing relevant to part of the IR fingerprint spectrum and smaller molecules [269, 270].”
Contributions of Fourier transform infrared spectroscopy in microplastic pollution research: A review (2020, methodology): “FTIR spectroscopic imaging (mFTIR) is found to be label-free, nondes- tructive chemical analysis and powerful tool for studying live biological cells (Chan & Kazarian, 2013; Baker et al., 2014).”