以153个单植物源和混合植物源蜂蜜样品为研究对象,使用3种近红外光谱仪(FT型、CCD型、PDA型)采集蜂蜜的透反射和透射光谱,并应用近红外定量分析技术进行蜂蜜中主要成分(水分含量、果糖含量、葡萄糖含量)的检测研究。用偏最小二乘回归(partial leasts quare repression, PLSR)方法分别建立了蜂蜜水分含量、果糖含量、葡萄糖含量的近红外定量分析模型。结果表明,水分含量、果糖含量、葡萄糖含量的相关系数(r)分别达到0.9785,0.9311和0.8907,预测误差均方根(RMSEP)分别为0.4108(%),1.9144(%)和2.5319(%)。研究表明基于近红外光谱的蜂蜜主要成分快速无损检测准确度高,具有很高的实用价值。

The potential of near infrared spectroscopy(NIR)as a nondestructive method for determining the principle components of honeys was studied for 153 unifloralhoneys and multifloralh 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-leasts quare(PLS)regression, the models of honey were compared. The best calibration model gives the correlation coefficients of 0.9785, 0.9311 and 0.8907 for water, fructose and glucose, respectively, with the root means quare error of prediction(RMSEP)of 0.4108(%), 1.91448(%) and 2.5319(%) respectively. The results demonstrated that near-infrared spectrometry is avaluable, rapid and nondestructive tool for the quantitative analysis of the principle components in honey.