HPLC Fingerprint Combined with Quantitation of Phenolic Compounds and Chemometrics as an Efficient Strategy for Quality Consistency Evaluation of Sambucus nigra Berries

Abstract

Sambucus nigra L. berries have been traditionally used as culinary and medicinal ingredients. To ensure the highest quality of elderberry plant products for consumers, the objective of this study was to develop a HPLC fingerprint procedure for quality consistency evaluation of S. nigra berries obtained from various herbal manufacturers in Poland. The HPLC profiles of thirteen batches of elderberries showed more than sixty peaks in each chromatogram, including fourteen well-resolved common peaks. Four of these were assigned to caffeic acid, syringic acid, myricetin and quercetin. Based on the chromatographic profiles of all the samples, the reference HPLC fingerprint and similarity values were calculated by Matlab 9.1 software. Quantitation of phenolic compounds (flavonols and phenolic acids) revealed that the S. nigra samples with the highest quantity differ to a small extent with regard to the mean content of phenolic compounds. On the other hand, in batches of elderberries with lower similarity values, higher differences in the mean phenolic compound content were observed. The results of hierarchical cluster and principal component analyses showed that samples classified into one group are associated with a similar chemical composition, reflected in fourteen common HPLC peaks and similarity values. Chromatographic fingerprint combined with quantitation of plant bioactive compounds and unsupervised data analysis techniques can be a useful and efficient strategy for monitoring the quality consistency of elderberry fruits.