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基于姜辣素衍生物分析的特征指纹图谱,结合高效液相色谱-二极管阵列检测和化学计量学,用于根据地理来源鉴别生姜(Zingiber officinale)。

Characteristic fingerprint based on gingerol derivative analysis for discrimination of ginger (Zingiber officinale) according to geographical origin using HPLC-DAD combined with chemometrics.

机构信息

Chromatography and Separation Research Unit, Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.

Sensor Research Unit, Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.

出版信息

Food Chem. 2014 Sep 1;158:101-11. doi: 10.1016/j.foodchem.2014.02.086. Epub 2014 Feb 28.

Abstract

Chromatographic fingerprints of gingers from five different ginger-producing countries (China, India, Malaysia, Thailand and Vietnam) were newly established to discriminate the origin of ginger. The pungent bioactive principles of ginger, gingerols and six other gingerol-related compounds were determined and identified. Their variations in HPLC profiles create the characteristic pattern of each origin by employing similarity analysis, hierarchical cluster analysis (HCA), principal component analysis (PCA) and linear discriminant analysis (LDA). As results, the ginger profiles tended to be grouped and separated on the basis of the geographical closeness of the countries of origin. An effective mathematical model with high predictive ability was obtained and chemical markers for each origin were also identified as the characteristic active compounds to differentiate the ginger origin. The proposed method is useful for quality control of ginger in case of origin labelling and to assess food authenticity issues.

摘要

建立了来自中国、印度、马来西亚、泰国和越南五个不同生姜生产国的生姜的色谱指纹图谱,以鉴别生姜的产地。测定并鉴定了生姜的辛辣生物活性成分——姜辣素和其他六种姜辣素相关化合物。通过相似度分析、层次聚类分析(HCA)、主成分分析(PCA)和线性判别分析(LDA),它们在 HPLC 图谱中的变化形成了每个产地的特征模式。结果表明,生姜图谱倾向于根据原产国的地理接近程度进行分组和分离。获得了一个具有高预测能力的有效数学模型,并确定了每个产地的化学标记物作为区分生姜产地的特征活性化合物。该方法可用于生姜的质量控制,以确保产地标签的真实性,并评估食品的真实性问题。

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