Rapid Analysis of Glucose, Fructose, Sucrose, and Maltose in Honeys from Different Geographic Regions using Fourier Transform Infrared Spectroscopy and Multivariate Analysis
Rapid Analysis of Glucose, Fructose, Sucrose, and Maltose in Honeys from Different Geographic Regions using Fourier Transform Infrared Spectroscopy and Multivariate Analysis
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DOI：
10.1111/j.1750-3841.2009.01504.x
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发表时间：
2010-03-01
影响因子：
3.9
通讯作者：
Li, Qing X.
中科院分区：
文献类型：
--
作者：
Wang, Jun;Kliks, Michael M.;Li, Qing X.
研究了利用傅里叶变换红外（FTIR）光谱法以及偏最小二乘法（PLS）和主成分回归等化学计量学方法对世界不同地理来源的蜂蜜样品中葡萄糖、果糖、蔗糖和麦芽糖进行定量分析。校准系列由45种标准混合物组成，这些混合物由葡萄糖、果糖、蔗糖和麦芽糖构成。在1500至800 cm⁻¹的光谱“指纹”区域，所有糖类混合物都有明显的峰变化。使用7组合成糖类混合物成功验证了校准模型。PLS二阶导数模型显示出最高的预测准确度，R²最高值为0.999。结合典型变量分析，通过对商业蜂蜜样品进行高效液相色谱测量进一步验证校准模型，结果表明FTIR能够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。
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.