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一种近红外光谱水果内部品质自动检测系统
引用本文:刘燕德,应义斌,傅霞萍,陆辉山.一种近红外光谱水果内部品质自动检测系统[J].浙江大学学报(自然科学版 ),2006,40(1):53-56.
作者姓名:刘燕德  应义斌  傅霞萍  陆辉山
作者单位:1.浙江大学 生物系统工程与食品科学学院, 浙江 杭州 310029;2. 江西农业大学 工学院,江西 南昌 330045
摘    要:基于傅里叶变换近红外漫反射光谱技术探讨了水果内部品质快速自动检测的新方法.建立水果的内部品质自动检测系统由光源、迈克尔逊干涉仪、近红外漫反射光纤探头组件、铟镓砷检测器、数据采集卡和水果样品室等部件组成.利用该系统对不同采收期雪青梨糖度和总酸度进行了自动检测试验并结合多元校正算法偏最小二乘法,建立了雪青梨漫反射光谱与其内部糖度、酸度的相关关系.试验结果为:定标误差分别为0.25%、0.02% ,预测误差分别为 0.32%、0.02%.经研究表明,该自动检测系统可以直接用于水果内部品质的快速定量分析.

关 键 词:  style="font-size:  12pt  font-family:  宋体  mso-ascii-font-family:  'Times  New  Roman'  mso-hansi-font-family:  'Times  New  自动检测" target="_blank">Roman'">自动检测    style="font-size:  12pt  font-family:  宋体  mso-ascii-font-family:  'Times  New  Roman'  mso-hansi-font-family:  'Times  New  近红外光谱" target="_blank">Roman'">近红外光谱  光纤探头  数据采集卡  水果  lang="EN-US"  style="font-size:  " target="_blank">12pt">
文章编号:1008-973X(2006)01-0053-04
收稿时间:2004-08-23
修稿时间:2004年8月23日

Automatic measurement system of fruit internal quality using near-infrared spectroscopy
LIU Yan-de,YING Yi-bin,FU Xia-ping,LU Hui-shan.Automatic measurement system of fruit internal quality using near-infrared spectroscopy[J].Journal of Zhejiang University(Engineering Science),2006,40(1):53-56.
Authors:LIU Yan-de  YING Yi-bin  FU Xia-ping  LU Hui-shan
Abstract:The methods of automatic measurement of intact fruit internal quality were investigated based on Fourier transform near-infrared spectroscopy,and the system was also developed.The system consisted of light source,interferometer,fiber optical sensor,InGaAs detector,data collection card and fruit holder.Quantitative tests for sugar content and total acidity of pears were carried out by this system and the relationship between the fruit reflectance and internal quality indices were obtained by using partial least squares calibration techniques.Standard errors of calibration(SEC) were 0.25%,0.02% for the calibration set,and standard errors of prediction(SEP) were 0.32,0.02% for prediction set respectively.The measurement system can be directly applied to fast quantification analysis of fruit internal quality.
Keywords:automatic measurement  near-infrared spectroscopy  optical fiber  data collection card  fruit
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