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Utilisation of front face fluorescence spectroscopy as a tool for the prediction of some chemical parameters and the melting point of semi-hard and hard cheeses: a preliminary study

机译:前表面荧光光谱法作为预测一些化学参数和半硬干酪和硬干酪熔点的工具:一项初步研究

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The objective of this preliminary study was to evaluate the usefulness of front face fluorescence spectroscopy to predict some chemical parameters [pH, fat, dry matter (DM), fat in DM, total nitrogen (TN) and water soluble nitrogen (WSN)] and cheese meltability of semi-hard and hard cheeses. Dynamic testing rheology was used to determine the melting point of cheeses corresponding to the temperature at which loss tangent (tan δ) = 1. Tryptophan and vitamin A fluorescence spectra were, also, recorded on cheese samples at 20 °C. The partial least squares (PLS) regression with the leave one-out cross-validation technique was used to build up calibration models. Excellent predictions were obtained from the tryptophan and vitamin A models for fat (R 2 = 0.99 and 0.97, respectively), DM (R 2 = 0.94 and 0.96, respectively), fat in DM (R 2 = 0.92 and 0.99, respectively), TN (R 2 = 0.91 and 0.91, respectively). Excellent predictions were also obtained for WSN (R 2 = 0.96) and melting point (R 2 = 0.97) from vitamin A spectra, while only good predictions for these two parameters (R 2 = 0.90 and R 2 = 0.87, respectively) were obtained from tryptophan spectra. The results for pH were good (R 2 = 0.82) and approximate (R 2 = 0.76) with tryptophan and vitamin A, respectively.
机译:这项初步研究的目的是评估正面荧光光谱法预测某些化学参数[pH,脂肪,干物质(DM),DM中的脂肪,总氮(TN)和水溶性氮(WSN)]的有用性,以及半硬奶酪和硬奶酪的奶酪融化性。动态测试流变学被用于确定干酪的熔点,该温度对应于损耗角正切(tanδ)= 1的温度。色氨酸和维生素A荧光光谱也记录在20°C的干酪样品上。使用带有留一法交叉验证技术的偏最小二乘(PLS)回归来建立校准模型。从色氨酸和维生素A模型获得的脂肪(R 2 = 0.99和0.97分别),DM(R 2 = 0.94和0.96分别),DM中的脂肪(R 2 = 0.92和0.99),TN(R 2 = 0.91和0.91)。还从维生素A光谱获得了对WSN(R 2 = 0.96)和熔点(R 2 = 0.97)的出色预测,而对这两个参数(R 2 分别从色氨酸光谱获得= 0.90和R 2 = 0.87)。色氨酸和维生素A的pH值分别为良好(R 2 = 0.82)和近似值(R 2 = 0.76)。

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