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Targeted and untargeted-metabolite profiling to track the compositional integrity of ginger during processing using digitally-enhanced HPTLC pattern recognition analysis
Journal of Chromatography B ( IF 3 ) Pub Date : 2018-02-19 , DOI: 10.1016/j.jchromb.2018.02.020
Reham S. Ibrahim , Hoda Fathy

Tracking the impact of commonly applied post-harvesting and industrial processing practices on the compositional integrity of ginger rhizome was implemented in this work. Untargeted metabolite profiling was performed using digitally-enhanced HPTLC method where the chromatographic fingerprints were extracted using ImageJ software then analysed with multivariate Principal Component Analysis (PCA) for pattern recognition. A targeted approach was applied using a new, validated, simple and fast HPTLC image analysis method for simultaneous quantification of the officially recognized markers 6-, 8-, 10-gingerol and 6-shogaol in conjunction with chemometric Hierarchical Clustering Analysis (HCA).

The results of both targeted and untargeted metabolite profiling revealed that peeling, drying in addition to storage employed during processing have a great influence on ginger chemo-profile, the different forms of processed ginger shouldn't be used interchangeably. Moreover, it deemed necessary to consider the holistic metabolic profile for comprehensive evaluation of ginger during processing.



中文翻译:

使用数字增强型HPTLC模式识别分析对加工过程中的目标和非目标代谢物进行分析,以追踪生姜的成分完整性

在这项工作中,跟踪了常用的采后和工业加工方法对生姜根茎成分完整性的影响。使用数字增强型HPTLC方法进行非目标代谢物谱分析,其中使用ImageJ软件提取色谱指纹,然后使用多变量主成分分析(PCA)进行模式识别。使用新的,经过验证的,简单且快速的HPTLC图像分析方法,采用有针对性的方法,同时结合化学计量学层次聚类分析(HCA)对官方认可的标记物6-,8-,10-姜油酚和6-shogaol进行了定量。

有针对性和无针对性的代谢产物分析结果均表明,加工过程中除皮,干燥以及储存外,对生姜的化学特性都有很大影响,不同形式的加工生姜不应互换使用。此外,认为有必要考虑整体代谢特性,以便在加工过程中对生姜进行综合评估。

更新日期:2018-02-19
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