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Red Wine Age Estimation by the Alteration of Its Color Parameters: Fourier Transform Infrared Spectroscopy as a Tool to Monitor Wine Maturation Time

机译:通过更改其颜色参数来估计红酒年龄:傅里叶变换红外光谱作为监测酒成熟时间的工具

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Color, phenolic content, and chemical age values of red wines made from Cretan grape varieties (Kotsifali, Mandilari) were evaluated over nine months of maturation in different containers for two vintages. The wines differed greatly on their anthocyanin profiles. Mid-IR spectra were also recorded with the use of a Fourier Transform Infrared Spectrophotometer in ZnSe disk mode. Analysis of Variance was used to explore the parameter’s dependency on time. Determination models were developed for the chemical age indexes using Partial Least Squares (PLS) (TQ Analyst software) considering the spectral region 1830–1500?cm?1. The correlation coefficients () for chemical age index i were 0.86 for Kotsifali (Root Mean Square Error of Calibration (RMSEC) = 0.067, Root Mean Square Error of Prediction (RMSEP) = 0,115, and Root Mean Square Error of Validation (RMSECV) = 0.164) and 0.90 for Mandilari (RMSEC = 0.050, RMSEP = 0.040, and RMSECV = 0.089). For chemical age index ii the correlation coefficients () were 0.86 and 0.97 for Kotsifali (RMSEC 0.044, RMSEP = 0.087, and RMSECV = 0.214) and Mandilari (RMSEC = 0.024, RMSEP = 0.033, and RMSECV = 0.078), respectively. The proposed method is simpler, less time consuming, and more economical and does not require chemical reagents.
机译:使用两个年份的克里特岛葡萄品种(Kotsifali,Mandilari)酿制的红酒在九个月的熟化后,评估其颜色,酚含量和化学年龄值。这些葡萄酒的花色苷特性差异很大。还使用ZnSe盘模式的傅立叶变换红外分光光度计记录了中红外光谱。方差分析用于探讨参数对时间的依赖性。考虑到光谱区域1830–1500?cm?1,使用偏最小二乘(PLS)(TQ Analyst软件)开发了化学年龄指数的测定模型。化学年龄指数i的相关系数()对于Kotsifali为0.86(校准的均方根误差(RMSEC)= 0.067,预测的均方根误差(RMSEP)= 0,115,而验证的均方根误差(RMSECV)=曼迪拉里(RMSEC = 0.050,RMSEP = 0.040和RMSECV = 0.089)为0.164)和0.90。对于化学年龄指数ii,Kotsifali(RMSEC 0.044,RMSEP = 0.087和RMSECV = 0.214)和Mandilari(RMSEC = 0.024,RMSEP = 0.033和RMSECV = 0.078)的相关系数()分别为0.86和0.97。所提出的方法更简单,更省时,更经济并且不需要化学试剂。

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