ATR-FTIR spectroscopy to determine cell wall composition: Application on a large diversity of fruits and vegetables. (15th May 2019)

• Record Type: Journal Article
• Authors: Canteri, Maria H.G.; Renard, Catherine M.G.C.; Le Bourvellec, Carine; Bureau, Sylvie
• Is Part Of: Carbohydrate polymers. Volume 212(2019)
• Page Start: 186
• Page End: 196
• Publication Date: 2019-05-15
• Subjects: AIS alcohol insoluble solids -- Ara arabinose -- ATR-FTIR Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy -- AUA anhydrous uronic acid -- DM degree of methylation -- DW dry weight -- Fuc fucose -- Gal galactose -- Glc glucose -- Lig lignin -- LV latent variables -- MeOH methanol -- MVA Multivariate analysis -- NCGlc non-cellulosic glucose -- PCA Principal Component Analysis -- PLS Partial Least-Squares -- R2 coefficient of determination for the validation set -- Rha rhamnose -- RM raw material -- RMSECV root mean square error of cross-validation -- RPD residual predictive deviation -- SD standard deviation -- SNV standard normal variate -- Xyl xylose; Attenuated Total Reflectance Fourier Transform Infrared -- Alcohol insoluble solids -- Pectins -- Cellulose -- Partial Least Square Regression; Polysaccharides -- Periodicals; Polysaccharides -- Periodicals; Polysaccharides -- Périodiques; Electronic journals; 547.78
• DOI: 10.1016/j.carbpol.2019.02.021
• Languages: English
• ISSNs: 0144-8617

Abstract

Graphical abstract: Highlights: The variability of cell wall composition was described in 29 plant species. FT-IR is an interesting and relevant tool to characterize cell wall. AIS yields could be predicted by FT-IR on freeze-dried raw powders. Six components of cell wall could be predicted by FT-IR on AIS samples. Brazilian native fruits presented a particular high content of lignin and xylose. Abstract: Infrared spectroscopy coupled with multivariate analyses such as linear regressions was applied to assess the main cell wall components of a huge diversity of fruits and vegetables belonging to 29 plant species. The methodology was tested on the raw freeze-dried powders and on their corresponding AIS (Alcohol Insoluble Solids) dried by solvent exchanges. The most informative spectral region was 1750-1035 cm −1 . Excellent predictions (determination coefficient R2 ≥ 0.9 and residual predictive deviation RPD ≥ 3.0) were obtained for AIS yields and for arabinose, total glucose, non-cellulosic glucose, total neutral sugars, methanol and starch contents in the AIS samples. The key wavenumbers were: 1740 cm -1 for total neutral sugars; 1075, 1440–1450, 1616 and 1740 cm -1 for pectins; 895, 1035–1041 and 1160-1163 cm -1 for cellulose and 1035–1041 cm -1 for lignin. Limitations of the reference methods to analyze cell wall components (biochemical assays, spectrophotometry, chromatography) affecting the prediction accuracy were also discussed.