Study on the Correlation Between the Appearance Traits and Intrinsic Chemical Quality of Bitter Almonds Based on Fingerprint-Chemometrics. (9th April 2022)

• Record Type: Journal Article
• Authors: Zhang, Guoqin; Li, Huanhuan; Sun, Lili; Liu, Yi; Cao, Ying; Ren, Xiaoliang; Liu, Yanan
• Is Part Of: Journal of chromatographic science. Volume 61:Number 2(2023)
• Page Start: 110
• Page End: 118
• Publication Date: 2022-04-09
• Subjects: Chromatographic analysis -- Periodicals; 543.8
• DOI: 10.1093/chromsci/bmac026
• Languages: English
• ISSNs: 0021-9665

Abstract

Abstract: Bitter almond is a well-known and commonly used traditional Chinese medicine (TCM) for relieving coughs and asthma. However, the bioactive chemical composition of bitter almonds, especially their amygdalin content, which determines their quality for TCM use, is variable and this can cause problems with formulating and prescribing TCMs based on bitter almonds. Therefore, a simple method was developed to evaluate the compositional quality of bitter almonds from their appearance traits, based on a combination of chromatographic fingerprinting and chemometrics. Bitter almonds were analyzed by high-performance liquid chromatography (HPLC). Hierarchical cluster analysis (HCA) and principal components analysis (PCA) were applied to classify bitter almonds, which split the samples into two independent clusters. Three chemical markers (amygdalin, prunasin, and one unidentified component) were found by partial least squares-discriminant analysis (PLS-DA). What's more, a new PLS-DA model was reconstructed to confirm the obtained chemical markers from PLS-DA. Additionally, the appearance trait indices and amygdalin content of bitter almond were determined and the classification was confirmed by one-way analysis of variance. This method can easily determine the quality of bitter almonds from their appearance alone, high quality correlated closely with kernels that were larger, oblong in shape and heavier.