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便携式近红外光谱仪快速无损鉴别霍山石斛枫斗和河南石斛枫斗

江明珠 韩邦兴 颜辉 贾俊强 屠洁 马永昆

林产化学与工业2017,Vol.37Issue(5):101-106,6.
林产化学与工业2017,Vol.37Issue(5):101-106,6.DOI:10.3969/j.issn.0253-2417.2017.05.013

便携式近红外光谱仪快速无损鉴别霍山石斛枫斗和河南石斛枫斗

Rapid and Nondestructive Identification of Dendrobium huoshanense Fengdou and Dendrobium henanense Fengdou by Portable NIR Spectrometer

江明珠 1韩邦兴 2颜辉 3贾俊强 4屠洁 2马永昆2

作者信息

  • 1. 江苏大学食品与生物工程学院,江苏镇江212013
  • 2. 江苏科技大学生物技术学院,江苏镇江212018
  • 3. 皖西学院生物与制药工程学院,安徽六安237012
  • 4. 中国中医科学院中药资源中心,北京100700
  • 折叠

摘要

Abstract

The near infrared spectra of 231 samples of Dendrobium huoshanense and Dendrobium henanense were measured by portable near infrared spectroscopy .Nine kinds of preprocessing methods , such as first derivative(1stD), standard normal variate (SNV), mean centering(MNCN), multiplicative signal correction (MSC),normalize(N) and their combination were used to pretreat original spectrometer .The model of identifying D.huoshanense and D.henanense were established with PLS-DA method . Different spectral preprocessing methods were compared with the accuracy of model .The models were also evaluated with the accuracy, sensitivity and specificity of PLS-DA model.The results showed that the 1stD+SNV+MNCN preprocessing method had the best effect , the accuracy of the model was the highest .When the latent variable was 12, the prediction accuracy of calibration set , cross validation set and prediction set were 100%, and 100% specificity and sensitivity rate of PLS-DA model were also obtained .The results indicted that PLS-DA analysis with Near-Infrared can provide a new method for rapid and non-invasive identification of D.huoshanense Fengdou and D.henanense Fengdou.

关键词

便携式近红外光谱仪/PLS-DA/霍山石斛枫斗/河南石斛枫斗/无损鉴别

Key words

portable NIR spectrometer/PLS-DA/Dendrobium huoshanense Fengdou/Dendrobium henanense Fengdou/nondestructive identification

分类

化学化工

引用本文复制引用

江明珠,韩邦兴,颜辉,贾俊强,屠洁,马永昆..便携式近红外光谱仪快速无损鉴别霍山石斛枫斗和河南石斛枫斗[J].林产化学与工业,2017,37(5):101-106,6.

基金项目

科技部中医药行业专项资助(201407003) (201407003)

安徽省石斛产业化开发协同创新计划资助(无编号) (无编号)

林产化学与工业

OA北大核心CSCDCSTPCD

0253-2417

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