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The electronic tongue and ATR-FTIR for rapid detection of sugars and acids in tomatoes

机译:电子舌和ATR-FTIR用于快速检测西红柿中的糖和酸

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The electronic tongue and attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) have been evaluated as novel rapid techniques in taste research. The electronic tongue, consisting of 27 potentiometric sensors, and ATR—FTIR, a well-established spectroscopic technique, have been used to determine the sugar and acid profile of four tomato cultivars: Aranca, Climaks, Clotilde and DRW 73-29. The most abundant sugars (glucose, fructose and sucrose) and organic acids (citric acid, malic acid, tartaric acid, fumaric acid and succinic acid) in tomatoes were measured with HPLC as a traditional reference technique. The ability of the novel techniques to detect differences in sugar and acid profiles between these four tomato cultivars has been studied by means of unsupervised and supervised multivariate data analysis techniques such as principal components analysis (PCA) and canonical discriminant analysis (CDA). Canonical correlation analysis (CCA) was applied to compare the information content of the reference technique with that of the electronic tongue and ATR-FTIR. The potential of both the electronic tongue and ATR-FTIR to predict the chemical composition of a sample has been evaluated using partial least squares (PLS) models. Both the electronic tongue and ATR-FTIR have the potential to measure taste determining compounds. Tomato cultivars can be classified based on their sugar and acid profile. However, the prediction of individual components in tomato juice is still inaccurate and needs further optimization.
机译:电子舌和衰减全反射傅里叶变换红外光谱(ATR-FTIR)已被评估为味觉研究中的新型快速技术。电子舌由27个电位传感器和ATR-FTIR(一种成熟的光谱技术)组成,已被用来确定四种番茄品种的糖和酸谱:Aranca,Climaks,Clotilde和DRW 73-29。番茄中最丰富的糖(葡萄糖,果糖和蔗糖)和有机酸(柠檬酸,苹果酸,酒石酸,富马酸和琥珀酸)是通过HPLC作为传统的参考技术进行测量的。已经通过无监督和有监督的多元数据分析技术(例如主成分分析(PCA)和规范判别分析(CDA))研究了该新技术检测这四个番茄品种之间糖和酸谱差异的能力。应用规范相关分析(CCA)来比较参考技术与电子舌和ATR-FTIR的信息内容。已使用偏最小二乘(PLS)模型评估了电子舌和ATR-FTIR预测样品化学成分的潜力。电子舌和ATR-FTIR都具有测量味道决定化合物的潜力。番茄品种可以根据其糖分和酸度进行分类。但是,对番茄汁中各个成分的预测仍然不准确,需要进一步优化。

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