Dept. of Molecular Biosciences and Bioengineering, Univ. of Hawaii of Manoa, Honolulu, HI 96822, USA.
J Food Sci. 2010 Mar;75(2):C208-14. doi: 10.1111/j.1750-3841.2009.01504.x.
Quantitative analysis of glucose, fructose, sucrose, and maltose in different geographic origin honey samples in the world using the Fourier transform infrared (FTIR) spectroscopy and chemometrics such as partial least squares (PLS) and principal component regression was studied. The calibration series consisted of 45 standard mixtures, which were made up of glucose, fructose, sucrose, and maltose. There were distinct peak variations of all sugar mixtures in the spectral "fingerprint" region between 1500 and 800 cm(-1). The calibration model was successfully validated using 7 synthetic blend sets of sugars. The PLS 2nd-derivative model showed the highest degree of prediction accuracy with a highest R(2) value of 0.999. Along with the canonical variate analysis, the calibration model further validated by high-performance liquid chromatography measurements for commercial honey samples demonstrates that FTIR can qualitatively and quantitatively determine the presence of glucose, fructose, sucrose, and maltose in multiple regional honey samples.
采用傅里叶变换红外（FTIR）光谱和偏最小二乘法（PLS）和主成分回归等化学计量学方法，对来自世界不同产地的蜂蜜样品中的葡萄糖、果糖、蔗糖和麦芽糖进行了定量分析。校准系列由 45 种标准混合物组成，由葡萄糖、果糖、蔗糖和麦芽糖组成。在光谱“指纹”区域 1500 到 800cm(-1)之间，所有糖混合物的峰变化都很明显。校准模型成功地使用 7 种合成糖混合物的数据集进行了验证。PLS 二阶导数模型表现出最高的预测精度，具有最高的 R(2)值为 0.999。结合典型变量分析，通过高效液相色谱法对商业蜂蜜样品的校准模型进一步验证，表明 FTIR 可以定性和定量地确定多个地区蜂蜜样品中葡萄糖、果糖、蔗糖和麦芽糖的存在。
