首页> 外文期刊>Journal of Agricultural and Food Chemistry >Determination by near-infrared spectroscopy of perseitol used as a marker for the botanical origin of avocado (Persea americana Mill.) honey.
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Determination by near-infrared spectroscopy of perseitol used as a marker for the botanical origin of avocado (Persea americana Mill.) honey.

机译:通过近红外光谱法测定作为牛油果(Persea americana Mill。)蜂蜜植物来源标记的紫苏醇。

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This paper reports the application of near-infrared (NIR) reflectance spectroscopy to determine the concentration in honey of perseitol, a sugar that is specific to avocado honey. Reference values for perseitol were obtained by high-performance liquid chromatography analysis in 109 honey samples. Although the average concentration of perseitol in honey samples was only 0.48%, accurate prediction equations were successfully developed. The regression model of modified partial least squares was superior to that of principal component regressions. Calibrations based on the first or second derivative of Log(1/R) were equally good (R(2) > 0.95). Using half of the samples for calibration and the second half for validation, the correlation between actual and predicted values of the second half was satisfactory (R(2) = 0.87), the slope did not differ from 1, bias was low (0.005%), and the standard error of prediction was relatively low (0.13%). It was concluded that NIRS analysis may be used to detect to what extent honeybees have harvested avocado nectar but not to authenticate avocado honey as unifloral.
机译:本文报道了近红外(NIR)反射光谱法在确定蜂蜜中perseitol的浓度中的应用,perseitol是一种鳄梨蜂蜜特有的糖。通过高效液相色谱分析在109个蜂蜜样品中获得了perseitol的参考值。尽管蜂蜜样品中的perseitol的平均浓度仅为0.48%,但成功开发了准确的预测方程。改进的偏最小二乘回归模型优于主成分回归模型。基于Log(1 / R)的一阶或二阶导数进行的校准同样好(R(2)> 0.95)。使用一半样品进行校准,另一半样品进行验证,下半年的实际值和预测值之间的相关性令人满意(R(2)= 0.87),斜率与1的差异不大,偏差低(0.005%) ),而预测的标准误则相对较低(0.13%)。结论是,NIRS分析可用于检测蜜蜂收获鳄梨花蜜的程度,但不能鉴定鳄梨蜂蜜为单花蜜。

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