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The Use of a Micro Near Infrared Portable Instrument to Predict Bioactive Compounds in a Wild Harvested Fruit—Kakadu Plum (Terminalia ferdinandiana)

机译:使用微近红外便携式仪器预测野生收获的果实 - 卡径梅(北美岛Ferdinandiana)中的生物活性化合物。

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摘要

Kakadu plum (KP; Terminalia ferdinandiana Exell, Combretaceae) is an emergent indigenous fruit originating from Northern Australia, with valuable health and nutritional characteristics and properties (e.g., high levels of vitamin C and ellagic acid). In recent years, the utilization of handheld NIR instruments has allowed for the in situ quantification of a wide range of bioactive compounds in fruit and vegetables. The objective of this study was to evaluate the ability of a handheld NIR spectrophotometer to measure vitamin C and ellagic acid in wild harvested KP fruit samples. Whole and pureed fruit samples were collected from two locations in the Kimberley region (Western Australia, Australia) and were analysed using both reference and NIR methods. The standard error in cross validation (SECV) and the residual predictive deviation (RPD) values were 1.81% dry matter (DM) with an RPD of 2.1, and 3.8 mg g−1 DM with an RPD of 1.9 for the prediction of vitamin C and ellagic acid, respectively, in whole KP fruit. The SECV and RPD values were 1.73% DM with an RPD of 2.2, and 5.6 mg g−1 DM with an RPD of 1.3 for the prediction of vitamin C and ellagic acid, respectively, in powdered KP samples. The results of this study demonstrated the ability of a handheld NIR instrument to predict vitamin C and ellagic acid in whole and pureed KP fruit samples. Although the RPD values obtained were not considered adequate to quantify these bioactive compounds (e.g., analytical quantification), this technique can be used as a rapid tool to screen vitamin C in KP fruit samples for high and low quality vitamin C.
机译:Kakadu Plum(kp; Fermentia Ferdinandiana Exell,Combretaceae)是源自澳大利亚北部的紧急土着水果,具有宝贵的健康和营养特征和性质(例如,高水平的维生素C和鞣花酸)。近年来,手持式NIR仪器的利用允许原位定量水果和蔬菜中各种生物活性化合物。本研究的目的是评估手持式鼻腔分光光度计测量维生素C和野生收获KP水果样品中的鞣酸的能力。从金伯利地区(澳大利亚西部澳大利亚)的两个地区收集了整体和纯净的水果样品,并使用参考和NIR方法进行分析。交叉验证(SECV)中的标准误差和残留预测偏差(RPD)值为1.81%干物质(DM),RPD为2.1,3.8mg G-1 DM,RPD为1.9,用于预测维生素C.分别在整个KP水果中鞣果酸。 SECV和RPD值为1.73%DM,RPD为2.2和5.6mg G-1 DM,其分别在粉末KP样品中预测维生素C和鞣花酸的RPD。本研究的结果证明了手持式鼻腔仪器以全部和纯净的KP水果样品预测维生素C和鞣花酸的能力。尽管所获得的RPD值不被认为是足以量化这些生物活性化合物(例如,分析量化),但这种技术可以用作筛选维生素C的快速工具,以用于高低质量的维生素C.

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