化学计量学在姜黄精油抗氧化活性挥发物分类测定中的应用

Rosy Islamadina, A. Can, A. Rohman
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引用次数: 1

摘要

姜黄精油具有抗氧化活性。进行了各种体外抗氧化活性测定。与本研究相关的是,它试图检查姜黄精油的抗氧化潜力,并结合化学计量学研究负责抗氧化活性的成分。使用的研究方法是对从几个数据库中获得的60篇文章进行叙述性综述。本文综述了用气相色谱-质谱法鉴定的姜黄精油类化合物的谱图,以及最常用的清除自由基2,2-二苯基-1-吡啶肼(DPPH)和2,2-氮唑(3-乙基苯并噻唑-6磺酸(ABTS)的方法对姜黄精油的抗氧化活性进行了评价。用于分组各种多变量数据主体和确定变量之间关系的分析方法是主成分分析(PCA)和聚类分析(CA)。综述表明,姜黄精油具有潜在的抗氧化活性,其化学成分也存在差异。主成分分析成功地对具有各种相关变量的受试者进行分组,确定影响最大的变量和变量之间的相关性。CA方法可以在不需要相互关联变量的情况下对样本进行分组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chemometrics Application for Grouping and Determinating Volatile Compound which related to Antioxidant Activity of Turmeric Essential Oil (Curcuma longa L)
Turmeric essential oil is known to have antioxidant activity. Various in vitro antioxidantactivity assays has been carried out. Related to this research, it tries to examine the antioxidantpotential of turmeric essential oil and see the composition that is responsible for antioxidant activitycombine with chemometrics. The research method used was a narrative review of 60 articlesobtained from several databases. The review conducted on profiling essential oil compounds thatidentified using GC-MS and evaluation of the antioxidant activity of turmeric essential oil with themost commonly used method including scavenging radical 2,2 diphenyl-1-picrylhydrazyl (DPPH)and 2,2-azinobis (3-ethylbenzothiazoline-6 sulfonic acid (ABTS). Analysis methods used forgrouping various multivariate data subjects and determaining the relationship between thevariables were Principal Component Analysis (PCA) and Cluster Analysis (CA). According to thereview, turmeric essential oils are proven to have potential antioxidant activity and have variationsin chemical contents. PCA was success for grouping subjects with various correlated variables,determining variables wich the most influential and correlation between variables. CA method canbe used to group samples without requiring mutually correlated variables.
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