Department of Chemistry and Biology-DAQBI, Federal University of Technology-Paraná, Francisco Beltrão, Brazil.
UMR408 SQPOV, Sécurité et Qualité des Produits d'Origine Végétale, INRA, Avignon University, F-84000 Avignon, France.
Carbohydr Polym. 2019 May 15;212:186-196. doi: 10.1016/j.carbpol.2019.02.021. Epub 2019 Feb 8.
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. 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 for total neutral sugars; 1075, 1440-1450, 1616 and 1740 cm for pectins; 895, 1035-1041 and 1160-1163 cm for cellulose and 1035-1041 cm for lignin. Limitations of the reference methods to analyze cell wall components (biochemical assays, spectrophotometry, chromatography) affecting the prediction accuracy were also discussed.
采用红外光谱结合多元分析(如线性回归)的方法,评估了 29 个植物物种所属的大量不同水果和蔬菜的主要细胞壁成分。该方法在原始冷冻干燥粉末及其相应的通过溶剂交换干燥的 AIS(醇不溶性固体)上进行了测试。最具信息量的光谱区域为 1750-1035 cm。对于 AIS 产量以及 AIS 样品中的阿拉伯糖、总葡萄糖、非纤维素葡萄糖、总中性糖、甲醇和淀粉含量,获得了极好的预测结果(决定系数 R2≥0.9,剩余预测偏差 RPD≥3.0)。关键波数为:1740 cm 处为总中性糖;1075、1440-1450、1616 和 1740 cm 处为果胶;895、1035-1041 和 1160-1163 cm 处为纤维素,1035-1041 cm 处为木质素。还讨论了参考方法(生化分析、分光光度法、色谱法)分析细胞壁成分的局限性,这些局限性影响了预测的准确性。