光谱学
近红外光谱
偏最小二乘回归
红外光谱学
红外线的
果糖
分析化学(期刊)
校准
傅里叶变换红外光谱
化学
内容(测量理论)
材料科学
色谱法
数学
光学
食品科学
物理
统计
有机化学
数学分析
量子力学
作者
Zhenhua Tu,Bao-Ping Ji,Chao-Ying Meng,Dazhou Zhu,Linge Wang,Zhaoshen Qing
摘要
The potential of near infrared spectroscopy (NIR) as a nondestructive method for determining the principle components of honeys was studied for 153 unifloral honeys and multifloral honey samples. Fourier transform near-infrared spectroscopy (FT-NIR), CCD near-infrared spectroscopy and PDA near-infrared spectroscopy were evaluated to quantitatively determine water content, fructose content and glucose content in honey. On the basis of partial-least square (PLS) regression, the models of honey were compared. The best calibration model gives the correlation coefficients of 0.978 5, 0.931 1 and 0.90 7 for water, fructose and glucose, respectively, with the root mean square error of prediction (RMSEP) of 0.410 8(%), 1.914 48(%) and 2.531 9(%) respectively. The results demonstrated that near-infrared spectrometry is a valuable, rapid and nondestructive tool for the quantitative analysis of the principle components in honey.
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