Automated 2-Dimensional Fingerprint Analysis for Routine Botanical Authentication Using the ACQUITY QDa Mass Detector

Library Number:
APNT134981491
Part Number:
720006284en
Author(s):
Jinchuan Yang and Paul Rainville
Source:
Waters
Content Type:
Application Notes
Content Subtype:
Application Notes
Related Products:
 
 
 
 
 
ACQUITY UPLC H-Class System

Botanical ingredients are widely used in dietary supplements, herbal medicines, cosmetics and personal care products. Potential contamination or misidentification of plants due to the lack of standardization of production has been a health concern to consumers. Ascertaining the authenticity of botanical ingredients and processed products is a challenging task due to their complex phytochemical constituents, the natural variation in their phytochemical profiles, and the similar phytochemical profiles of closely related species.

Recently, we have demonstrated the feasibility of using the ACQUITY UPLC H-Class System with the ACQUITY QDa Mass Detector for botanical authenticity testing.8 The distinctive MS ion chromatogram and the specific mass spectrum for a marker compound were found to be very effective in differentiating North American (NA) black cohosh (Actaea racemosa) from other Actaea species.

Chemometric analysis techniques, such as Principle Component Analysis (PCA), Similarity Analysis, and Clustering Analysis are powerful data processing tools for the authentication and classification of botanicals. However, data processing for these techniques is often sophisticated and time-consuming. In this application note, a simple 2-dimensional fingerprint analysis method is presented for NA black cohosh authenticity testing. The data processing was automatically handled by Empower CDS Software, which is convenient for routine analysis. The details of this 2-dimensional fingerprint analysis using Empower is described in this note.

 

See related application note: Benefits of Mass Detection Using the ACQUITY QDa Mass Detector for Routine Botanical Authentication (720006247en


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