约旦蜂胶样品的元素图谱测定和分类

IF 0.4 Q4 CHEMISTRY, MULTIDISCIPLINARY
Basel Al-Saida, E. S. Abu-Nameh, Amal A. Al-Abbadi
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引用次数: 0

摘要

由于环境条件和收获季节对蜂胶的化学成分有影响,因此可以根据其植物或地理来源对各种蜂胶样品进行分类。在目前的研究中,根据蜂胶样品的矿物/金属含量对其进行了测定和地理分类。酸消化用于矿物/金属回收,电感耦合等离子体发射光谱用于精确定量。应用主成分分析和PLS-DA多元技术对不同蜂胶样品进行无监督和监督分类。测量的分析数据可以使用化学计量工具(如PCA和PLS-DA)进行简单操作。PLS-DA报告了分离来自工业和农业但不是沙漠地区的蜂胶样品的充分结果。蜂胶中矿物/金属含量的变化有助于鉴别。矿物质,如Ca、Na和K,是根据地理来源区分蜂胶的最重要变量。基于矿物和金属含量,PLS-DA模型对蜂胶样品进行了有效分类,根据混淆矩阵估计,准确率为92%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination and Classification of Jordanian Propolis Samples According to Their Elemental Profile
It is possible to classify various propolis samples based on their botanical or geographic origins, since environmental conditions and the harvest season have an impact on the chemical ingredients that make up propolis. In the current research, the determination and geographical classification of propolis samples according to their mineral/metal content are addressed. Acid digestion was employed for mineral/metal recovery and inductively-coupled plasma-optical emission spectrometry was used for accurate quantification. Multivariate techniques, PCA and PLS-DA, were applied for unsupervised and supervised classification for different propolis samples. The measured analytical data can be simply manipulated using chemometric tools, like PCA and PLS-DA. Adequate results were reported by PLS-DA to separate propolis samples that were obtained from industrial and agricultural, but not desert regions. The variations in mineral/metal contents present in propolis were helpful for discrimination purposes. Minerals, like Ca, Na, and K, were the most significant variables for propolis discrimination according to their geographical origins. Based on mineral and metal content, PLS-DA model was effective to classify propolis samples with 92% accuracy as estimated from the confusion matrix.
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来源期刊
Jordan Journal of Chemistry
Jordan Journal of Chemistry CHEMISTRY, MULTIDISCIPLINARY-
CiteScore
0.50
自引率
0.00%
发文量
7
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