FTIR Analysis of Cell Wall Cellulose

For the analysis of cellulose organization in leaves of M. giganteus and maize plants, the cell wall was isolated from frieze-dried leaves and purified from starch. The mid-infrared spectra were collected using Fourier transform infrared spectrometer (FTIR) Nicolet iZ 10 module (Thermo Fisher Scientific) and the ATR accessory equipped with a diamond crystal. Interferograms (256) were gathered at the resolution of 4 cm⁻¹ and co-added within the wavelength range between 4000 and 400 cm⁻¹ using OMNIC (v. 8.1, Thermo Fisher Scientific) software. The spectra were normalised to the unit area (1800–900 cm⁻¹) after the baseline correction and processed for analysis using the ChemoSpec (Hanson 2017 (link)) and the hyperSpecc (Beleites and Sergo 2018 (link)) packages in the R (R Core Team 2018 (link)).

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Bilska-Kos A., Mytych J., Suski S., Magoń J., Ochodzki P, & Zebrowski J. (2020). Sucrose phosphate synthase (SPS), sucrose synthase (SUS) and their products in the leaves of Miscanthus × giganteus and Zea mays at low temperature. Planta, 252(2), 23.

Publication 2020

Nicolet iZ 10 module OMNIC (v. 8.1,

Cell wall Cellulose Diamond Ftir Maize Plants Starch

Corresponding Organization : Plant Breeding and Acclimatization Institute - National Research Institute

Other organizations : Rzeszów University, Instytut Biologii Doświadczalnej im. Marcelego Nenckiego, Polish Academy of Sciences

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Variable analysis

independent variables

Type of plant: M. giganteus and maize

dependent variables

Mid-infrared spectra of cell walls isolated from the leaves

control variables

Fourier transform infrared spectrometer (FTIR) Nicolet iZ 10 module (Thermo Fisher Scientific) with ATR accessory equipped with a diamond crystal
Resolution of 4 cm^-1 for interferograms (256) collected within the wavelength range between 4000 and 400 cm^-1
Use of OMNIC (v. 8.1, Thermo Fisher Scientific) software for data acquisition
Normalization of spectra to the unit area (1800–900 cm^-1) after baseline correction
Analysis using the ChemoSpec and hyperSpecc packages in the R software

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