A sensitive lanthanide label array method for rapid fingerprint analysis of plant polyphenols based on time-resolved luminescence

文献情報

出版日 2019-09-03

DOI 10.1039/C9AY01067J

インパクトファクター 2.896

著者

Iqbal Bin Imran

原文を見る

要旨

Polyphenols are the most commonly available secondary metabolites with diverse bioactivities that vary with their chemical composition. Herein, fingerprint analysis of plant polyphenol composition is very crucial to reveal the overall bioactivities. In our current investigation, a generic and simplified method based on the time-resolved luminometric lanthanide label array technology has been developed for the rapid fingerprint analysis of plant polyphenols. This method works on the detection of the luminescence signal profiles specific to polyphenol compositions resulting from the nonspecific interaction of long-term unstable lanthanide chelates with polyphenols of plant samples. It is a simpler and cost-effective method in comparison to the many existing methods of polyphenol fingerprint analysis. This method allowed us to distinguish plant polyphenols based on their quenching effects on the luminescence in a time-dependent manner. Different samples provided different signal profiles based on their inherent polyphenol compositions. Principal component analysis (PCA) clearly clustered and distinguished oligomeric hydrolyzable tannin (HT) containing samples from the monomeric HT containing ones. UHPLC-DAD-ESI-MS identification and quantification of plant polyphenols was used as a reference for the validation of the method. Quantification results significantly correlated with the clustering of plant samples based on their polyphenol composition.

掲載誌

Analytical Methods

CiteScore: 5.1

自己引用率: 3.7%

年間論文数: 655

Analytical Methods welcomes early applications of new analytical and bioanalytical methods and technology demonstrating the potential for societal impact. We require that methods and technology reported in the journal are sufficiently innovative, robust, accurate, and compared to other available methods for the intended application. Developments with interdisciplinary approaches are particularly welcome. Systems should be proven with suitably complex and analytically challenging samples. We encourage developments within, but not limited to, the following technologies and applications: global health, point-of-care and molecular diagnostics biosensors and bioengineering drug development and pharmaceutical analysis applied microfluidics and nanotechnology omics studies, such as proteomics, metabolomics or glycomics environmental, agricultural and food science neuroscience biochemical and clinical analysis forensic analysis industrial process and method development