首页> 外文期刊>American Journal of Analytical Chemistry >Use of the &sup&13&/sup&C/&sup&12&/sup&C, &sup&15&/sup&N/&sup&14&/sup&N and &sup&18&/sup&O/&sup&16&/sup&O Isotopic Ratios of Theobromine and Caffeine in the Characterization of Geographic Origin
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Use of the &sup&13&/sup&C/&sup&12&/sup&C, &sup&15&/sup&N/&sup&14&/sup&N and &sup&18&/sup&O/&sup&16&/sup&O Isotopic Ratios of Theobromine and Caffeine in the Characterization of Geographic Origin

机译:使用&& / sup& c / s,& / sup& c,& sup& n / sup,&& / sup,& n / sup,&& / sup& n,& sup,& / sup& c / s,& / sup,& 1。 ; 18& / sup& o / o / st; 16& / sup& o表现romoomine和咖啡因的表征在地理起源的表征

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The aim of this work is to characterize the geographical origin of cocoa beans and coffee beans. This study aims to contribute to the traceability of raw materials in order to fight against falsification. For this purpose, we based our work on the measurement of isotope ratios in ~(13)C, ~(15)N and ~(18)O. The multi-element isotope ratios have been evaluated as a means to distinguish fermented cocoa beans of different geographic and varietal origins. The isotopic ratios of ~(13)C, ~(15)N and ~(18)O were measured in theobromine obtained from samples of fermented cocoa beans. Twenty-two (22) samples of different geographical origins covering the four mainland cocoa producing areas were analyzed on the one hand and on the other hand, 16 caffeine samples from various origins were also analyzed. The treatment of the values resulting from these isotopic analyzes by statistical methods, namely the principal component analysis (PCA) makes it possible to visualize the discriminations between the different origins. The most discriminating variables identified as responsible for the geographic and varietal differences were the δ ~(15)N, δ ~(13)C and δ ~(18)O values of cocoa beans and certain extracts and tissues. We have shown that the isotope ratios are correlated with the altitude and precipitation conditions encountered in the different cocoa growing regions.
机译:这项工作的目的是表征可可豆和咖啡豆的地理来源。本研究旨在为原材料的可追溯性做出贡献,以抵抗伪造。为此目的,我们基于我们在〜(13)C,〜(15)n和〜(18)o中同位素比测量的作品。多元素同位素比已被评估为区分不同地理和品种起源的发酵可可豆的方法。在从发酵可可豆样品获得的机球甘氨酸中测量〜(13)C,〜(15)℃的同位素比率。一方面分析了二十二(22)个不同地理起源的不同地理起源样本,另一方面分析了来自各种起源的16个咖啡因样品。通过统计方法处理由这些同位素分析产生的值,即主要成分分析(PCA)使得可以可视化不同起源之间的鉴别。鉴定为地理和变异差异的最具判别变量是δ〜(15)n,δ〜(13)c和δ〜(18)o值的可可豆和某些提取物和组织。我们已经表明,同位素比与不同的可可变区中遇到的海拔和沉淀条件相关。

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