ARC Industrial Transformation Training Centre for Uniquely Australian Foods, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Coopers Plains, Australia.
Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, Australia.
J Sci Food Agric. 2021 Jun;101(8):3208-3213. doi: 10.1002/jsfa.10950. Epub 2020 Dec 2.
The objective of this study was to evaluate the feasibility of using either mid-infrared (MIR) or near-infrared (NIR) spectroscopy to predict the vitamin C content in Kakadu plum (Terminalia ferdinandiana Exell, Combretaceae) powder samples. Vitamin C is the main and quality-determining bioactive compound in Kakadu plum (KP). Kakadu plum powder samples were analyzed by ultra-performance liquid chromatography coupled to a photodiode array detector (UPLC-PDA) and scanned using both MIR and NIR spectroscopy.
The coefficient of determination (R ) and the standard error in cross validation (SECV) for vitamin C were 0.93 and 1811 mg 100 g dry weight (DW) and 0.91 and 1839 mg 100 g DW using MIR and NIR spectroscopy, respectively. The coefficient of correlation and the standard error of prediction (SEP) obtained using the independent set (n = 5) were 0.65 (SEP: 2367 mg 100 g DW) and 0.73 (SEP: 4773 mg 100 g DW) using MIR and NIR spectroscopy, respectively.
The results obtained in this study clearly showed that it is possible to calibrate IR spectroscopic instruments for the measurement of vitamin C in KP plum powder samples. Mid-infrared spectroscopy showed the most promising results; however, Fourier transform near-infrared (FTNIR) spectroscopy also produced models capable of good quantification of this important bioactive compound and vitamin. These findings are promising in terms of using high-throughput IR spectroscopy as a routine technology to determine vitamin C in plant-based foods and derived products. © 2020 Society of Chemical Industry.
本研究旨在评估中红外（MIR）或近红外（NIR）光谱法用于预测卡卡杜李（Terminalia ferdinandiana Exell，山龙眼科）粉末样品中维生素 C 含量的可行性。维生素 C 是卡卡杜李（KP）中的主要和质量决定生物活性化合物。采用超高效液相色谱法-光电二极管阵列检测器（UPLC-PDA）对卡卡杜李粉末样品进行分析，并采用 MIR 和 NIR 光谱法进行扫描。
MIR 和 NIR 光谱法测定维生素 C 的决定系数（R ）和交叉验证标准误差（SECV）分别为 0.93 和 1811 mg 100 g 干重（DW）和 0.91 和 1839 mg 100 g DW。使用独立集（n = 5）获得的相关系数和预测标准误差（SEP）分别为 0.65（SEP：2367 mg 100 g DW）和 0.73（SEP：4773 mg 100 g DW）。
本研究结果清楚地表明，校准 IR 光谱仪以测量 KP 李粉样品中的维生素 C 是可行的。中红外光谱显示出最有希望的结果；然而，傅里叶变换近红外（FTNIR）光谱也产生了能够很好地定量这种重要生物活性化合物和维生素的模型。这些发现有望利用高通量 IR 光谱法作为一种常规技术来测定植物性食品及其衍生产品中的维生素 C。 © 2020 化学工业协会。
