基于NIRS与PLS-DA的红提产地鉴别研究

doi:10.19640/j.cnki.jtau.2020.01.005

天津农学院学报 ›› 2020, Vol. 27 ›› Issue (1): 21-23.doi: 10.19640/j.cnki.jtau.2020.01.005

基于NIRS与PLS-DA的红提产地鉴别研究

吕晨菲^1a, 杨静慧^{1a,通信作者}, 刘艳军^1a, 杨仁杰^1b, 张超², 吴楠^1b

1. 天津农学院 a. 园艺园林学院,b. 工程技术学院,天津300384;
2. 天津天狮学院,天津301700

收稿日期:2019-05-05 发布日期:2020-04-01
通讯作者: 杨静慧（1961-）,女,教授,博士,主要从事园艺植物栽培、抗逆生理和分子育种研究。E-mail：jinghuiyang2@aliyun.com。
作者简介:吕晨菲（1995-）,女,硕士在读,主要从事果树生理生态、分子育种等研究。E-mail：1787410311@qq.com。
基金资助:
天津市林果现代农业产业技术体系创新团队项目（ITTFPRS2018002）; 天津市科技特派员项目（18JCTPJC68000）; 天津市农村科技帮扶项目（17ZXBFNC00310）

Identification of red grape origin based on NIRS and PLS-DA

LÜ Chen-fei^1a, YANG Jing-hui^{1a,Corresponding Author}, LIU Yan-jun^1a, YANG Ren-jie^1b, ZHANG Chao², WU Nan^1b

1. Tianjin Agricultural University, a. College of Horticulture and Landscape, b. College of Engineering and Technology, Tianjin 300384, China;
2. Tianjin Tianshi College, Tianjin 301700, China

Received:2019-05-05 Published:2020-04-01

摘要/Abstract

摘要： 红提产区分布广、生态类型复杂,不同产地红提果实品质和市场效应具有较大差异。研究基于近红外光谱技术（NIRS）与偏最小二乘判别（PLS-DA）对不同产地的红提果品进行识别和鉴伪。试验购置了美国红提、秘鲁红提、国产红提,每种45个,共135个样品。在4 000~12 000 cm^-1范围内采集所有样品的近红外漫反射光谱。对光谱数据进行主成分（PCA）分析,结果发现PCA方法无法完全实现3种产地红提的聚类鉴别。最后,建立PLS-DA模型,对3种产地的红提进行判别,识别率均为100%。

关键词: 红提, 产地识别, 近红外光谱, 偏最小二乘判别

Abstract: The red grape producing areas are widely distributed and the ecological types are complex. The fruit quality and market effects of red grapes in different producing areas are quite different. Based on near-infrared spectroscopy（NIRS）and partial least squares discrimination（PLS-DA）, the red grape fruits from different regions were identified and authenticated. American red grape, Peruvian red grape and domestic red grape were purchased from supermarkets, each containing 45 samples, totaling 135 samples. Near-infrared diffuse reflectance spectra of all samples were collected in the range of 4 000~12 000 cm^-1. Principal component（PCA）analysis of the spectral data showed that the PCA method could not fully realize the cluster identification of the three types of red grape producing areas. Finally, the PLS-DA model was established to discriminate the three red grape producing areas, and the recognition rate was 100%.

Key words: red grape, origin identification, near-infrared spectroscopy, partial least squares discriminant analysis

中图分类号:

S663.1

吕晨菲, 杨静慧, 刘艳军, 杨仁杰, 张超, 吴楠. 基于NIRS与PLS-DA的红提产地鉴别研究[J]. 天津农学院学报, 2020, 27(1): 21-23.

LÜ Chen-fei^1a, YANG Jing-hui^1a, LIU Yan-jun^1a, YANG Ren-jie^1b, ZHANG Chao², WU Nan^1b. Identification of red grape origin based on NIRS and PLS-DA[J]. Journal of Tianjin Agricultural University, 2020, 27(1): 21-23.

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http://xuebao.tjau.edu.cn/CN/Y2020/V27/I1/21

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基于NIRS与PLS-DA的红提产地鉴别研究

Identification of red grape origin based on NIRS and PLS-DA

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