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采用平面色谱法对食品、甜叶菊叶及制剂中的甜菊糖苷进行定量分析,包括证明不存在甜菊醇和异甜菊醇。

Quantification of steviol glycosides in food products, Stevia leaves and formulations by planar chromatography, including proof of absence for steviol and isosteviol.

作者信息

Wald Julian P, Morlock Gertrud E

机构信息

Chair of Food Sciences, Institute for Nutritional Science and Interdisciplinary Research Center (IFZ), Justus Liebig University Giessen, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany.

Chair of Food Sciences, Institute for Nutritional Science and Interdisciplinary Research Center (IFZ), Justus Liebig University Giessen, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany.

出版信息

J Chromatogr A. 2017 Jul 14;1506:109-119. doi: 10.1016/j.chroma.2017.05.026. Epub 2017 May 11.

DOI:10.1016/j.chroma.2017.05.026
PMID:28552425
Abstract

Steviol glycosides may degrade in food products under certain processing and storage conditions. Hence, a method was developed that separated in the same chromatographic run seven important steviol glycosides, and additionally as a sum parameter, their reported breakdown products steviol and isosteviol. Through derivatizations with the 2-naphthol and the primuline reagent, the detection was selective and inexpensive. In case needed, the baseline separation of steviol and isosteviol was also demonstrated after a plate cut and subsequent short development (two-step method). The HPTLC method was robust with regard to varying sample matrix loads, as the stationary phase was used only once. A high sample throughput was achieved, i.e. 23 separations were performed in parallel on one plate. The total analysis time took 1h (30min application, 15min separation and 15min derivatization/densitometry) leading to a calculated analysis time of 2.6min per sample. The solvent consumption was 8mL in total (0.4mL per analysis). HPTLC-ESI-MS was employed for confirmation of the results obtained. Mass spectra were recorded only from the zones of interest, and not from matrix or background, leading to decisive advantages, such as less need for MS cleaning. The optimized HPTLC method was shown to effectively support quality control, as marketed samples may be falsified with cheaper synthetic sweeteners, which was also demonstrated in this study. The accuracy of the densitometric quantification in HPTLC was considered as high, as standards and samples were separated on fresh adsorbent and detected simultaneously under identical conditions, which minimized the influence of errors. Finally, the Aliivibrio fischeri bioassay was employed to obtain information on bioactive compounds in Stevia leaf extracts.

摘要

甜菊糖苷在某些加工和储存条件下可能会在食品中降解。因此,开发了一种方法,可在同一色谱运行中分离出七种重要的甜菊糖苷,此外,作为一个总和参数,还能分离出其报告的分解产物甜菊醇和异甜菊醇。通过用2-萘酚和 primuline 试剂进行衍生化,检测具有选择性且成本低廉。如有需要,在切板并随后进行短程展开(两步法)后,也证明了甜菊醇和异甜菊醇的基线分离。由于固定相仅使用一次,HPTLC 方法对于不同的样品基质负载具有稳健性。实现了高样品通量,即在一块板上并行进行23次分离。总分析时间为1小时(点样30分钟、分离15分钟和衍生化/光密度测定15分钟),计算得出每个样品的分析时间为2.6分钟。总溶剂消耗量为8毫升(每次分析0.4毫升)。采用HPTLC-ESI-MS对所得结果进行确认。质谱仅从感兴趣的区域记录,而不是从基质或背景记录,这带来了决定性的优势,例如对质谱清洗的需求较少。优化后的HPTLC方法被证明能有效支持质量控制,因为市售样品可能会被更便宜的合成甜味剂伪造,本研究也证明了这一点。HPTLC中光密度定量的准确性被认为很高,因为标准品和样品在新鲜吸附剂上分离,并在相同条件下同时检测,这最大限度地减少了误差的影响。最后,采用费氏弧菌生物测定法获取甜叶菊叶提取物中生物活性化合物的信息。

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