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基于偏最小二乘法的板栗近红外光谱分析模型的建立
引用本文:傅谊,张拥军,陈华才,蒋家新,刘建风.基于偏最小二乘法的板栗近红外光谱分析模型的建立[J].食品科技,2012(5):42-45,51.
作者姓名:傅谊  张拥军  陈华才  蒋家新  刘建风
作者单位:中国计量学院生命科学学院;中国计量学院现代计量测试技术与仪器浙江省重点实验室
基金项目:浙江省科技厅重大招标科研项目(2006C12103)
摘    要:目的:应用近红外光谱技术和化学计量学方法,建立板栗品质分析的近红外光谱模型。方法:采用傅里叶变换近红外光谱仪,采集样品的近红外漫反射光谱,再用传统理化分析方法测得样品的各项品质参数,采用偏最小二乘法(PLS)建立定标模型,内部交叉验证法对模型进行检验。结果:对板栗分别建立了水分、淀粉、硬度和糖度的PLS模型,4种PLS模型都非常理想,模型的相关系数均大于0.99。结论:采用近红外光谱法可以实现板栗品质指标的快速无损检测。

关 键 词:板栗  近红外光谱法  偏最小二乘法(PLS)  含量测定

Establishment of NIR models for components determination in fresh chestnut
FU Yi,ZHANG Yong-jun,CHEN Hua-cai,JIANG Jia-xin,LIU Jian-feng.Establishment of NIR models for components determination in fresh chestnut[J].Food Science and Technology,2012(5):42-45,51.
Authors:FU Yi  ZHANG Yong-jun  CHEN Hua-cai  JIANG Jia-xin  LIU Jian-feng
Affiliation:1(1.College of Life Sciences,China Jiliang University,Hangzhou 310018;2.Modern Measurement Technology and Instrument Key Laboratory of Zhejiang Province,China Jiliang University,Hangzhou 310018)
Abstract:Objective:To quantitative determinate several components of fresh chestnut directly and rapidly by using near infrared spectroscopy and chemometrics.Method:The NIR spectra of calibration set samples were collected with FT-NIR spectrometer,and the reference concentrations of components were analyzed with the standard chemical analysis methods.The calibration models were established using partial least square(PLS) regression and validated with leave-one-out cross validation method.Result:Result:The calibration models for analysis of water,amylum,texture and sugar contents were established with correlation coefficients over 0.99.Conclusion:It is possible to use NIR method to rapidly determinate the content of the above components in fresh chestnut.
Keywords:fresh chestnut  near infrared spectroscopy(NIR)  partial least square(PLS)  content determination
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