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Verifying the provenance of rice using stable isotope ratio and multi-element analyses: a feasibility study

机译:验证使用稳定大米的出处同位素比率和多元化的分析:一个可行性研究

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Different varieties of rice grown in various countries around the world (Australia, China P.R., France, India, Italy, Japan, Korea, Malaysia, Myanmar, Pakistan, Spain, Taiwan, Thailand, USA and Vietnam) were analysed using isotope ratio mass spectrometry and inductively coupled plasma mass spectrometry. The stable isotope ratios of carbon, nitrogen, oxygen and hydrogen and the multi-elemental compositions were assessed as variables for discrimination of the geographical origins of the rice samples. The data were processed by canonical discriminant analysis (CDA) enabling classification according to geographical origin. Fifteen key variables were identified by CDA as providing the maximum discrimination between the rice samples across different rice types and categorised on the basis of broad geographical areas (Asia, Australia, Europe, India and Pakistan, North America and Southeast Asia), enabling 90.7% correct classification for the model generated. This feasibility study demonstrated that the methodology has good potential in identifying the geographical origin for different rice types and useful as a database for the examination of unknown rice samples.
机译:不同种类的水稻生长在不同世界各国(澳大利亚、中国’变为贬义词、法国、印度、意大利、日本、韩国、马来西亚、缅甸、巴基斯坦、西班牙、台湾、泰国、美国和越南)进行分析使用同位素比率质谱分析和归纳耦合等离子体质谱法。同位素比值的碳、氮、氧和氢和multi-elemental组成被评估为变量的歧视吗地理起源的大米样品。数据处理规范判别分析(CDA)使分类显示地理起源。确定了CDA提供最大大米样本之间的歧视不同的水稻类型,在此基础上广泛的地理区域(亚洲、澳大利亚、欧洲,北美和印度和巴基斯坦东南亚),使90.7%正确分类模型的生成。可行性研究证明了在识别方法具有良好的潜力为不同的水稻类型和地理起源有用的作为数据库的检查未知的大米样品。

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