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利用衰减全反射红外光谱和选择离子流管质谱快速鉴别和表征香草豆提取物。

Rapid discrimination and characterization of vanilla bean extracts by attenuated total reflection infrared spectroscopy and selected ion flow tube mass spectrometry.

机构信息

The Ohio State Univ., 2015 Fyffe Rd., Columbus, Ohio 43210, USA.

出版信息

J Food Sci. 2012 Mar;77(3):C284-92. doi: 10.1111/j.1750-3841.2011.02544.x.

DOI:10.1111/j.1750-3841.2011.02544.x
PMID:22384952
Abstract

Vanilla beans have been shown to contain over 200 compounds, which can vary in concentration depending on the region where the beans are harvested. Several compounds including vanillin, p-hydroxybenzaldehyde, guaiacol, and anise alcohol have been found to be important for the aroma profile of vanilla. Our objective was to evaluate the performance of selected ion flow tube mass spectrometry (SIFT-MS) and Fourier-transform infrared (FTIR) spectroscopy for rapid discrimination and characterization of vanilla bean extracts. Vanilla extracts were obtained from different countries including Uganda, Indonesia, Papua New Guinea, Madagascar, and India. Multivariate data analysis (soft independent modeling of class analogy, SIMCA) was utilized to determine the clustering patterns between samples. Both methods provided differentiation between samples for all vanilla bean extracts. FTIR differentiated on the basis of functional groups, whereas the SIFT-MS method provided more specific information about the chemical basis of the differentiation. SIMCA's discriminating power showed that the most important compounds responsible for the differentiation between samples by SIFT-MS were vanillin, anise alcohol, 4-methylguaiacol, p-hydroxybenzaldehyde/trimethylpyrazine, p-cresol/anisole, guaiacol, isovaleric acid, and acetic acid. ATR-IR spectroscopy analysis showed that the classification of samples was related to major bands at 1523, 1573, 1516, 1292, 1774, 1670, 1608, and 1431 cm(-1) , associated with vanillin and vanillin derivatives.

摘要

香草豆已被证明含有 200 多种化合物,其浓度因收获豆荚的地区而异。已发现几种化合物,包括香草醛、对羟基苯甲醛、愈创木酚和茴香醇,对香草的香气特征很重要。我们的目标是评估选定的离子流管质谱(SIFT-MS)和傅里叶变换红外(FTIR)光谱技术对香草豆提取物进行快速区分和特征分析的性能。香草提取物来自不同的国家,包括乌干达、印度尼西亚、巴布亚新几内亚、马达加斯加和印度。采用多元数据分析(软独立建模分类分析,SIMCA)来确定样品之间的聚类模式。这两种方法都能区分所有香草豆提取物的样品。FTIR 基于官能团进行区分,而 SIFT-MS 方法则提供了关于区分化学基础的更具体信息。SIMCA 的判别能力表明,SIFT-MS 法区分样品的最重要化合物是香草醛、茴香醇、4-甲基愈创木酚、对羟基苯甲醛/三甲基吡嗪、对甲酚/苯甲醚、愈创木酚、异戊酸和乙酸。ATR-IR 光谱分析表明,样品的分类与与香草醛和香草醛衍生物相关的 1523、1573、1516、1292、1774、1670、1608 和 1431 cm(-1)处的主要波段有关。

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