Chen Chiachung
Department of Bio-industrial Mechatronics Engineering, National Chung Hsing University, 250 Kuokuang Road, Taichung 40227, Taiwan.
Foods. 2019 Jan 16;8(1):30. doi: 10.3390/foods8010030.
The water activity (Aw) and moisture content (MC) data of floral honey at five temperatures were determined using the Aw method and it was found that temperature significantly affected the Aw/MC data. The linear equation could be used to express the relationship between Aw and MC of honeys. The empirical regression equations between parameters and temperature were established. To evaluate the factors affecting the Aw/MC data, we used categorical tests of regression analysis to assess the effect of the correlation between Aw and MC of honey and examined the factors affecting the regression parameters. Six datasets from five countries were selected from the literature. The significance of the levels of qualitative categories was tested by -test. The slope of the relationship between Aw and MC was affected by the state of honey (liquid and crystallized). The intercepts were significantly affected by honey type (flower or honeydew), harvesting year, geographical collection site, botanical source and other factors. The outliers in the datasets significantly affected the results. With modern regression analysis, useful information on the correlation between Aw and MC could be found. The results indicated that no universal linear equation for Aw and MC could be used. The Aw value could be used as a criterion for the honey industry; then, the MC of honey could be calculated by the specific linear equation between Aw and MC.
采用水分活度(Aw)法测定了五种温度下花卉蜂蜜的水分活度(Aw)和水分含量(MC)数据,发现温度对Aw/MC数据有显著影响。线性方程可用于表示蜂蜜Aw和MC之间的关系。建立了参数与温度之间的经验回归方程。为了评估影响Aw/MC数据的因素,我们使用回归分析的分类检验来评估蜂蜜Aw和MC之间相关性的影响,并研究影响回归参数的因素。从文献中选取了来自五个国家的六个数据集。通过t检验对定性类别水平的显著性进行了检验。Aw和MC之间关系的斜率受蜂蜜状态(液态和结晶态)影响。截距受蜂蜜类型(花蜜或甘露蜜)、收获年份、地理采集地点、植物来源和其他因素的显著影响。数据集中的异常值对结果有显著影响。通过现代回归分析,可以找到关于Aw和MC之间相关性的有用信息。结果表明,不存在适用于Aw和MC的通用线性方程。Aw值可作为蜂蜜行业的一个标准;然后,蜂蜜的MC可以通过Aw和MC之间的特定线性方程来计算。