Honey classification from semi-arid, Atlantic and transitional forest zones in Bahia, Brazil

Journal of the Brazilian Chemical Society

Lacerda, Julian Júnio de Jesus¹  Universidade Estadual do Sudoeste da Bahia, Vitória da Conquista, Brazil¹  Santos, Sabrina Novaes dos¹  Santos, Núbia Soares dos¹  Santos, José Soares dos¹  Santos, Maria Lúcia Pires dos¹ 

关键词: honey;    cluster analysis;    principal component analysis;    PCA;    heavy metals;    geographical classification;    semi-arid zone;   

DOI  :  10.1590/S0103-50532008000300018

学科分类：化学（综合）

来源: SciELO

【 摘 要 】

In this study, samples of honey produced in three different regional climates in the southwest Bahia, Brazil (semi-arid, Atlantic and Transitional Forest Zones) were characterized on the basis of their mineral and trace elements, ash content and electrical conductivity. The metals were determined by atomic absorption spectrophotometry. The cluster and principal component analysis (PCA) methods were applied to the chemical concentration data in order to study the chemistry variables capable of promoting a characterization of the honey produced in each area. Cluster analysis and PCA distinguishes the different groups of honey samples corresponding to each region of the three geographical origins. The high correlation between electrical conductivity and Cu observed in honey samples from transitional forest zones suggested a coupling to the nutrient cycle, and can be attributed to use of copper compounds in coffee production, a major activity developed in all transitional forest zones.

【 授权许可】

Unknown