光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2009年
12期
3291-3294
,共4页
屠振华%籍保平%孟超英%朱大洲%王林舸%庆兆珅
屠振華%籍保平%孟超英%硃大洲%王林舸%慶兆珅
도진화%적보평%맹초영%주대주%왕림가%경조신
蜂蜜%近红外光谱%水%果糖%葡萄糖
蜂蜜%近紅外光譜%水%果糖%葡萄糖
봉밀%근홍외광보%수%과당%포도당
Honey%Near infrared spectroscopy%Water%Fructose%Glucose
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、果糖含最、葡萄糖含量)的检测研究.用偏最小二乘回归(partial least square 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0.978 5,0.931 1和0.890 7,预测误差均方根(RMSEP)分别为0.410 8(%),1.914 4(%)和2.531 9(%).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.
以153箇單植物源和混閤植物源蜂蜜樣品為研究對象,使用3種近紅外光譜儀(FT型、CCD型、PDA型)採集蜂蜜的透反射和透射光譜,併應用近紅外定量分析技術進行蜂蜜中主要成分(水分含量、果糖含最、葡萄糖含量)的檢測研究.用偏最小二乘迴歸(partial least square repression,PLSR)方法分彆建立瞭蜂蜜水分含量、果糖含量、葡萄糖含量的近紅外定量分析模型.結果錶明,水分含量、果糖含量、葡萄糖含量的相關繫數(r)分彆達到0.978 5,0.931 1和0.890 7,預測誤差均方根(RMSEP)分彆為0.410 8(%),1.914 4(%)和2.531 9(%).研究錶明基于近紅外光譜的蜂蜜主要成分快速無損檢測準確度高,具有很高的實用價值.
이153개단식물원화혼합식물원봉밀양품위연구대상,사용3충근홍외광보의(FT형、CCD형、PDA형)채집봉밀적투반사화투사광보,병응용근홍외정량분석기술진행봉밀중주요성분(수분함량、과당함최、포도당함량)적검측연구.용편최소이승회귀(partial least square repression,PLSR)방법분별건립료봉밀수분함량、과당함량、포도당함량적근홍외정량분석모형.결과표명,수분함량、과당함량、포도당함량적상관계수(r)분별체도0.978 5,0.931 1화0.890 7,예측오차균방근(RMSEP)분별위0.410 8(%),1.914 4(%)화2.531 9(%).연구표명기우근홍외광보적봉밀주요성분쾌속무손검측준학도고,구유흔고적실용개치.
The potential of near infrared spectroscopy (NIR) as a nondestructive method for determining the principle compo-nents of honeys was studied for 153 unifloral honeys and multifloralh honey samples. Fourier transform near-infrared spectrosco-py (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. 890 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.