Research Group in Natural Products, Federal University of Rio Grande (FURG), Rua Barão Cahy, 125, Santo Antônio da Patrulha, Rio Grande do Sul ZIP code 95500-000, Brazil.
Group of Intensification, Modeling, Simulation, Control and, Optimization of Process (GIMSCOP), Department of Chemical Engineering, Federal University of Rio Grande do Sul (UFRGS), Rua Engenheiro Luiz Englert s/n, Prédio 12204, Porto Alegre, Rio Grande do Sul ZIP code 90040-040, Brazil.
Food Chem. 2019 Oct 1;294:565-571. doi: 10.1016/j.foodchem.2019.04.120. Epub 2019 May 2.
Raman spectroscopy is a rapid and non-destructive analytical technique that has found a growing interest in the characterization and quantification of microconstituents in foods. In this work, Raman spectroscopy was used to evaluate the carotenoids content of processed Bunchosia glandulifera, a native fruit from the Brazilian Atlantic Forest. The B. glandulifera pulps were dried in hot air at 65 and 85 °C, resulting in carotenoids degradation of about 75 and 80%, respectively. The degradation profile of carotenoids over time was analyzed by Raman spectroscopy, with and without the use of an internal standard (TiO). The reproducibility of the analyses was evaluated by PCA of spectral data. PLS regression was applied for modelling the total carotenoids in B. glandulifera. Resulting models show the Raman data correlate with carotenoids content on samples resulting in a satisfactory coefficient of determination for all sets of samples.
拉曼光谱是一种快速且无损的分析技术，在食品中微成分的表征和定量方面引起了越来越多的关注。在这项工作中，拉曼光谱被用于评估加工后的 Bunchosia glandulifera（一种来自巴西大西洋森林的本地水果）中的类胡萝卜素含量。B. glandulifera 的果肉在 65 和 85°C 的热空气中干燥，导致类胡萝卜素分别降解约 75%和 80%。通过拉曼光谱分析了类胡萝卜素随时间的降解情况，分别使用和不使用内标（TiO）。通过对光谱数据进行 PCA 评估了分析的重现性。PLS 回归用于建立 B. glandulifera 中总类胡萝卜素的模型。结果模型表明，拉曼数据与样品中的类胡萝卜素含量相关，所有样品组的决定系数均令人满意。
