世界科学技术-中医药现代化
世界科學技術-中醫藥現代化
세계과학기술-중의약현대화
World Science and Technology-Modernization of Traditional Chinese Medicine
2015年
9期
1949-1952
,共4页
邱琳%刘莹%张媛媛%李婉怡%杨璇
邱琳%劉瑩%張媛媛%李婉怡%楊璇
구림%류형%장원원%리완이%양선
蜂蜜%近红外光谱%果糖%葡萄糖%还原糖
蜂蜜%近紅外光譜%果糖%葡萄糖%還原糖
봉밀%근홍외광보%과당%포도당%환원당
Honey%near-infrared spectroscopy%fructose%glucose%reducing sugar
目的:建立蜂蜜中主要成分含量的快速测定方法。方法:以不同生产基地的蜂蜜样品为研究对象,利用傅立叶近红外光谱仪采集蜂蜜的透反射光谱,并应用近红外定量分析技术进行了蜂蜜中主要成分(水分、果糖、葡萄糖和还原糖)的含量检测研究。用偏最小二乘法(Partial Least Squares,PLS)分别建立了蜂蜜水分、果糖、葡萄糖和还原糖的近红外定量分析模型。结果:蜂蜜中水分、果糖、葡萄糖和还原糖定量模型的相关系数(r)分别达到0.99725,0.97390,0.92794和0.95268,预测误差均方根(Root Mean Square Error of Prediction,RMSEP)分别为0.165%,0.564%,1.300%和1.270%。结论:应用近红外光谱技术对蜂蜜的主要成分进行快速无损测定具有较高精确度,该方法可用于蜂蜜主要成分的定量检测。
目的:建立蜂蜜中主要成分含量的快速測定方法。方法:以不同生產基地的蜂蜜樣品為研究對象,利用傅立葉近紅外光譜儀採集蜂蜜的透反射光譜,併應用近紅外定量分析技術進行瞭蜂蜜中主要成分(水分、果糖、葡萄糖和還原糖)的含量檢測研究。用偏最小二乘法(Partial Least Squares,PLS)分彆建立瞭蜂蜜水分、果糖、葡萄糖和還原糖的近紅外定量分析模型。結果:蜂蜜中水分、果糖、葡萄糖和還原糖定量模型的相關繫數(r)分彆達到0.99725,0.97390,0.92794和0.95268,預測誤差均方根(Root Mean Square Error of Prediction,RMSEP)分彆為0.165%,0.564%,1.300%和1.270%。結論:應用近紅外光譜技術對蜂蜜的主要成分進行快速無損測定具有較高精確度,該方法可用于蜂蜜主要成分的定量檢測。
목적:건립봉밀중주요성분함량적쾌속측정방법。방법:이불동생산기지적봉밀양품위연구대상,이용부립협근홍외광보의채집봉밀적투반사광보,병응용근홍외정량분석기술진행료봉밀중주요성분(수분、과당、포도당화환원당)적함량검측연구。용편최소이승법(Partial Least Squares,PLS)분별건립료봉밀수분、과당、포도당화환원당적근홍외정량분석모형。결과:봉밀중수분、과당、포도당화환원당정량모형적상관계수(r)분별체도0.99725,0.97390,0.92794화0.95268,예측오차균방근(Root Mean Square Error of Prediction,RMSEP)분별위0.165%,0.564%,1.300%화1.270%。결론:응용근홍외광보기술대봉밀적주요성분진행쾌속무손측정구유교고정학도,해방법가용우봉밀주요성분적정량검측。
This study was aimed to establish a fast determination method of main components in honey. Honey samples from difference production bases were used as study objects. Transmission and reflection spectra of different honey samples were collected with the Fourier transform near infrared spectrometer. The main components in honey (moisture content, fructose content, glucose content and reducing sugar content) were detected by the near infrared quantitative analysis technique. The near infrared quantitative analysis models of moisture content, fructose content, glucose content and reducing sugar content in honey were established by the partial least squares (PLS). The results showed that the correlation coefficient (r) of the moisture content, fructose content, glucose content and reducing sugar content in honey were 0.997 25, 0.973 90, 0.927 94 and 0.952 68, respectively. The root mean square error of prediction (RMSEP) were 0.165 (%), 0.564 (%), 1.300 (%) and 1.270 (%), respectively. It was concluded that determination of main components in honey by the near-infrared spectroscopy technology was a fast and nondestructive determination method with high accuracy, which can be used in the quantitative detection of main components in honey.