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通过咖啡因的多元素稳定同位素分析对绿咖啡(阿拉比卡咖啡)进行产地评估。

Origin assessment of green coffee (Coffea arabica) by multi-element stable isotope analysis of caffeine.

作者信息

Weckerle Bernhard, Richling Elke, Heinrich Sandra, Schreier Peter

机构信息

Lehrstuhl für Lebensmittelchemie, Universität Würzburg, Am Hubland, Germany.

出版信息

Anal Bioanal Chem. 2002 Nov;374(5):886-90. doi: 10.1007/s00216-002-1560-z. Epub 2002 Oct 18.

Abstract

The delta(13)C(VPDB), delta(2)H(VSMOW) and delta(18)O(VSMOW) values of caffeine isolated from Arabica green coffee beans of different geographical origin have been determined by isotope ratio mass spectrometry (IRMS) using elemental analysis (EA) in the "combustion" (C) and "pyrolysis" (P) modes (EA-C/P-IRMS). In total, 45 coffee samples (20 from Central and South America, 16 from Africa, six from Indonesia, and three from Jamaica and Hawaii) were analysed, as well as three reference samples of synthetic caffeine. Validation was performed by excluding isotope discrimination in the course of sample preparation and determining linear dynamic ranges for EA-P-IRMS measurements. The values for caffeine from green coffee ranged from -25.1 to - 29.9 per thousand, -109 to -198 per thousand, and +2.0 to -12.0 per thousand for delta(13)C(VPDB), delta(2)H(VSMOW), and delta(18)O(VSMOW), respectively. Data evaluation by linear discrimination analysis (LDA) and by classification and regression tree (CART) analysis revealed the delta(18)O(VSMOW) values to be highly significant. Use of LDA on the delta(2)H(VSMOW) and delta(18)O(VSMOW) data from coffee of African and Central/South American provenance led to error rates of 5.7% and 7.7% for adaption and cross validation, respectively.

摘要

采用“燃烧”(C)和“热解”(P)模式下的元素分析(EA)结合同位素比率质谱法(IRMS)(EA-C/P-IRMS),测定了从不同地理来源的阿拉比卡生咖啡豆中分离出的咖啡因的δ(13)C(VPDB)、δ(2)H(VSMOW)和δ(18)O(VSMOW)值。总共分析了45个咖啡样品(20个来自中美洲和南美洲,16个来自非洲,6个来自印度尼西亚,3个来自牙买加和夏威夷)以及3个合成咖啡因参考样品。通过在样品制备过程中排除同位素歧视并确定EA-P-IRMS测量的线性动态范围来进行验证。生咖啡豆中咖啡因的δ(13)C(VPDB)、δ(2)H(VSMOW)和δ(18)O(VSMOW)值范围分别为-25.1‰至-29.9‰、-109‰至-198‰和+2.0‰至-12.0‰。通过线性判别分析(LDA)和分类回归树(CART)分析进行数据评估,结果显示δ(18)O(VSMOW)值具有高度显著性。对来自非洲以及中美洲/南美洲产地咖啡的δ(2)H(VSMOW)和δ(18)O(VSMOW)数据进行LDA分析,适应性和交叉验证的错误率分别为5.7%和7.7%。

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