De Nardo Thais, Shiroma-Kian Cecilia, Halim Yuwana, Francis David, Rodriguez-Saona Luis E
Department of Food Science and Technology, 110 Parker Food Science and Technology Building, The Ohio State University, 2015 Fyffe Road, Columbus, Ohio 43210, USA.
J Agric Food Chem. 2009 Feb 25;57(4):1105-12. doi: 10.1021/jf802920z.
The rapid quantification of lycopene and beta-carotene in tomato juices by attenuated total reflectance (ATR) infrared spectroscopy combined with multivariate analysis was evaluated. Two sample preparation methods were compared: a direct measurement of the tomato paste and an extraction method using hexane to isolate carotenoids. HPLC was used as the reference method. Cross-validated (leave-one-out) partial least-squares regression (PLSR) was used to create calibration models to predict these phytonutrient concentrations in blind test samples. The infrared spectra showed unique marker bands at 957 and 968 cm(-1) for lycopene and beta-carotene, respectively. Multivariate analysis of the infrared spectral data gave correlation coefficients (r values) of >0.9 between the ATR-IR predicted and HPLC reference values, and standard errors of cross-validation (SECV) of 0.5 and 0.04 mg/100 g of juice for lycopene and beta-carotene, respectively. ATR-IR could provide the tomato industry with a simple, rapid, and high-throughput technique for the determination of tomato quality.
评估了衰减全反射（ATR）红外光谱结合多变量分析对番茄汁中番茄红素和β-胡萝卜素的快速定量。比较了两种样品制备方法：直接测量番茄酱和使用己烷提取类胡萝卜素的方法。高效液相色谱法（HPLC）用作参考方法。采用交叉验证（留一法）偏最小二乘回归（PLSR）建立校准模型，以预测盲测样品中这些植物营养素的浓度。红外光谱显示，番茄红素和β-胡萝卜素分别在957和968 cm(-1)处有独特的标记带。对红外光谱数据进行多变量分析，ATR-IR预测值与HPLC参考值之间的相关系数（r值）>0.9，番茄红素和β-胡萝卜素的交叉验证标准误差（SECV）分别为0.5和0.04 mg/100 g果汁。ATR-IR可为番茄产业提供一种简单、快速且高通量的番茄品质测定技术。
