Honey is a complex mixture of carbohydrates, in which the monosaccharides glucose and fructose are the most abundant compounds. Currently, more than 20 oligosaccharides have been identified in different varieties of honey normally at quite low concentration. A method was developed and validated using high-performance anion-exchange chromatography coupled to a mass spectrometry detector to investigate the composition of carbohydrates in honey samples. The method was tested for linearity range, trueness, instrumental and method detection and quantification limits, repeatability, and reproducibility. It was applied to determine seven monosaccharides, eight disaccharides, four trisaccharides, and one tetrasaccharide in various honey samples. The present work describes the composition of sugars in unifloral, multifloral, and some honeydew honey, which were produced and collected by beekeepers in the Trentino Alto-Adige region. Statistical techniques have been used to establish a relationship based on levels of carbohydrates among different Italian honey. The results emphasize that mono- and oligosaccharide profiles can be useful to discriminate different honeys according to their floral characteristics and inter-annual variability.

蜂蜜是碳水化合物的复杂混合物，其中单糖葡萄糖和果糖是最丰富的化合物。目前，在不同品种的蜂蜜中通常以相当低的浓度鉴定出20多种寡糖。开发了一种方法，并使用高性能阴离子交换色谱法与质谱检测器联用，以研究蜂蜜样品中碳水化合物的组成。测试了该方法的线性范围，真实性，仪器和方法的检测和定量限，可重复性和可重复性。它用于测定各种蜂蜜样品中的七个单糖，八个二糖，四个三糖和一个四糖。本工作描述了单花，多花和一些蜜露糖中糖的成分，由特伦蒂诺上阿迪杰地区的养蜂人生产和收集。统计技术已被用来建立基于不同意大利蜂蜜中碳水化合物含量的关系。结果强调，单糖和寡糖概况可根据其花性和年际变异性来区分不同的蜂蜜。