|本期目录/Table of Contents|

[1]蒋霞,张晓,白铁成,等.近红外光谱技术结合PLS和SPA检测鲜冬枣表面农药残留量的方法[J].江苏农业科学,2018,46(02):146-149.
 Jiang Xia,et al.Analysis of pesticide residues on fresh jujube surface using near infrared spectra recognition method based on partial least squares and successive projections algorithm[J].Jiangsu Agricultural Sciences,2018,46(02):146-149.
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近红外光谱技术结合PLS和SPA检测
鲜冬枣表面农药残留量的方法
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第46卷
期数:
2018年02期
页码:
146-149
栏目:
贮藏加工与检测分析
出版日期:
2018-01-20

文章信息/Info

Title:
Analysis of pesticide residues on fresh jujube surface using near infrared spectra recognition method based on partial least squares and successive projections algorithm
作者:
蒋霞 张晓 白铁成 陈杰 张楠楠
塔里木大学信息工程学院/中国农业科学院农业信息研究所新疆南疆农业信息化研究中心,新疆阿拉尔 843300
Author(s):
Jiang Xiaet al
关键词:
近红外光谱农药残留量SPA冬枣PLS
Keywords:
-
分类号:
O433.1;O657.33;S481+.8
DOI:
-
文献标志码:
A
摘要:
以喷洒不同浓度毒死蜱的鲜冬枣为研究对象,研究近红外光谱技术结合偏最小二乘法(PLS)和连续投影算法(SPA)检测鲜冬枣表面农药残留的方法。运用Antaris Ⅱ近红外光谱仪对喷洒不同浓度的毒死蜱的鲜冬枣样品进行扫描,首先建立全波段PLS模型,然后应用SPA提取特征波长,作为PLS的输入变量,建立SPA-PLS模型,将全波段PLS模型和SPA-PLS模型进行比较。经SPA提取5个特征波长建立的模型,使用变量数仅占全波段的032%,但建立的冬枣表面农药残留模型的准确度和精度优于全波段所建立的模型。近红外光谱技术结合SPA和PLS建立鲜冬枣表面不同浓度毒死蜱农药残留的模型是可行的,同时SPA算法简化模型复杂度,提高模型精度及稳定性。
Abstract:
-

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备注/Memo

备注/Memo:
收稿日期:2017-04-20
基金项目:国家自然科学基金应急管理项目(编号:61640413);中国农业科学院农业信息研究所新疆南疆农业信息化研究中心开放课题(编号:ZX2015005、ZX2015004)。
作者简介:蒋霞(1982—),女,甘肃甘谷人,硕士,讲师,主要从事农产品品质无损检测和光谱图像方面的研究。E-mail:49429533@qq.com。
通信作者:张晓,硕士,讲师,主要从事农产品品质无损检测和光谱图像方面的研究。E-mail:zhangxiaoscnu@163.com。
更新日期/Last Update: 2018-01-20