ỨNG DỤNG CÁC PHƯƠNG PHÁP PHÂN TÍCH THỐNG KÊ ĐA BIẾN ĐỂ PHÂN LOẠI NGUỒN GỐC MẬT ONG Ở VIỆT NAM DỰA TRÊN DỮ LIỆU PHỔ 1H-NMR

Tóm tắt

Bee honey is the most well-known and economically important. Honey has long been used as a home
remedy to treat coughs and colds for children. Honey diversity is due to many diverse origins.
Properties and compositions of bee honey depend strongly on the type of flowers the bees visited,
season, on the climatic conditions in which the plants grow and treatment of beekeepers. The aim of
this study was to classify honey samples in Vietnam using 1H-NMR data combined multivariate
statistics (PCA, SIMCA, kNN, LDA and PLS-DA) methods. The similar results of origin classification of
un-known eight honey samples by four multivariate statistics methods were obtained and proved the
accurate applied methods. The results can help market managers and companies control the origin of
honey samples in Vietnam.