Ya-Qin Wen,Jinzhen Zhang,Yi Li,Lanzhen Chen,Wen Zhao,Jinhui Zhou,Yue Jin
The phenolic and proline content were determined in honey samples of different floral origins (rapeseed, sunflower, buckwheat andCodonopsis) from five different regions of China. The phenolic and proline profile of these samples were used to construct a statistical model to distinguish honeys from different floral origins. Significant differences were identified among the studied honey samples from multivariate chemometric methods. The proline content varied among the four types of honeys, with the values decreasing in the order: buckwheat >Codonopsis> sunflower > rapeseed. Rapeseed honeys contained a high level of benzoic acid, while rutin,p-coumaric acid,p-hydroxybenzoic acid were present at relatively high levels in buckwheat honeys. Principal component analysis (PCA) revealed that rapeseed honey could be distinguished from the other three unifloral honeys, and benzoic acid, proline and kaempferol could serve as potential floral markers. Using 18 phenolic compounds and proline the honey samples were satisfactorily classified according to floral origin at 94% correct prediction by linear discriminant analysis (LDA). The results indicated that phenolic compounds and proline were useful for the identification of the floral origin of the four type honeys.Keywords:botanical origin;phenolic compounds;proline;chemometrics;unifloral honeys
Protein is the most important characteristic component of honey. The types and content of proteins in different kinds of honey are imparity, but those in the same kind of honey are very similar. Capillary zone electrophoresis (CZE) method, used to detect proteins, was developed for authenticating of four mono-floral honeys (n = 45), including medlar honey, chaste honey, jujube honey and locust honey. Electrophoresis conditions including capillary inner diameter (50–70 μm), pH (2.5–9), the concentration of anionic surfactant (0.3–0.5 mmol L −1 ), injection time (3–7 s) and separation voltage (3–7 KV) were optimized. The results showed that the honey sample was highly stable and the detection limit was 10%, the relative standard deviation of retention time and peak area were lower than 1.40% and 1.76%, respectively. The CZE fingerprints were established on the basis of different protein characteristics in different mono-floral honeys combined with chemometric analysis. All 45 honeys could be correctly identified according to their floral origins. This method does not need to confirm the type of protein, and has the advantages of simple and fast verification of the authenticity of honey.
危险品化学品经营许可证（带存储）