The establishment and evaluation of near infrared universal model to determinate the effective ingredient content in pesticide rapidly
A near infrared universal quantitative analysis model was established to determinate the effective ingredient content in pesticide EC （hikemalisation） by the PLS （partial least squares） algorithm, the model predictive ability was evaluated by the external inspection method. The model was established...
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| Veröffentlicht in: | Chinese chemical letters 2012-09, Vol.23 (9), p.1047-1050 |
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| container_title | Chinese chemical letters |
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| creator | Xiong, Yan Mei Song, Xiang Zhong Chen, Chang Zhou Lin, Hong Ping Tang, Guo Huang, Yue Duan, Jia Min, Shun Geng |
| description | A near infrared universal quantitative analysis model was established to determinate the effective ingredient content in pesticide EC （hikemalisation） by the PLS （partial least squares） algorithm, the model predictive ability was evaluated by the external inspection method. The model was established among samples containing the same active ingredient from five different companies, and the model determination coefficient R2 and RMSECV （root mean square error of cross validation） were 0.9997 and 0.0223, respectively, the relative error between predicted value and chemical value of the testing set samples was between -2.71% and 3.36%, which indicated that the method to determinate the effective ingredient content in pesticide EC by the established universal model can meet the need of pesticide market monitoring. |
| doi_str_mv | 10.1016/j.cclet.2012.06.017 |
| format | Article |
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The model was established among samples containing the same active ingredient from five different companies, and the model determination coefficient R2 and RMSECV （root mean square error of cross validation） were 0.9997 and 0.0223, respectively, the relative error between predicted value and chemical value of the testing set samples was between -2.71% and 3.36%, which indicated that the method to determinate the effective ingredient content in pesticide EC by the established universal model can meet the need of pesticide market monitoring.</description><identifier>ISSN: 1001-8417</identifier><identifier>EISSN: 1878-5964</identifier><identifier>DOI: 10.1016/j.cclet.2012.06.017</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Near infrared spectroscopy ; Pesticide EC ; Quantitative analysis ; Universal model ; 偏最小二乘法 ; 农药 ; 定量分析模型 ; 有效成分含量 ; 测定 ; 评价 ; 近红外 ; 通用模型</subject><ispartof>Chinese chemical letters, 2012-09, Vol.23 (9), p.1047-1050</ispartof><rights>2012 Shun Geng Min</rights><rights>Copyright © Wanfang Data Co. 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All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-c6d0a34a2e3ff8af5b6420f6664c3864f45c924b69113bd6370f0a227754e45f3</citedby><cites>FETCH-LOGICAL-c361t-c6d0a34a2e3ff8af5b6420f6664c3864f45c924b69113bd6370f0a227754e45f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/84039X/84039X.jpg</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.cclet.2012.06.017$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Xiong, Yan Mei</creatorcontrib><creatorcontrib>Song, Xiang Zhong</creatorcontrib><creatorcontrib>Chen, Chang Zhou</creatorcontrib><creatorcontrib>Lin, Hong Ping</creatorcontrib><creatorcontrib>Tang, Guo</creatorcontrib><creatorcontrib>Huang, Yue</creatorcontrib><creatorcontrib>Duan, Jia</creatorcontrib><creatorcontrib>Min, Shun Geng</creatorcontrib><title>The establishment and evaluation of near infrared universal model to determinate the effective ingredient content in pesticide rapidly</title><title>Chinese chemical letters</title><addtitle>Chinese Chemical Letters</addtitle><description>A near infrared universal quantitative analysis model was established to determinate the effective ingredient content in pesticide EC （hikemalisation） by the PLS （partial least squares） algorithm, the model predictive ability was evaluated by the external inspection method. The model was established among samples containing the same active ingredient from five different companies, and the model determination coefficient R2 and RMSECV （root mean square error of cross validation） were 0.9997 and 0.0223, respectively, the relative error between predicted value and chemical value of the testing set samples was between -2.71% and 3.36%, which indicated that the method to determinate the effective ingredient content in pesticide EC by the established universal model can meet the need of pesticide market monitoring.</description><subject>Near infrared spectroscopy</subject><subject>Pesticide EC</subject><subject>Quantitative analysis</subject><subject>Universal model</subject><subject>偏最小二乘法</subject><subject>农药</subject><subject>定量分析模型</subject><subject>有效成分含量</subject><subject>测定</subject><subject>评价</subject><subject>近红外</subject><subject>通用模型</subject><issn>1001-8417</issn><issn>1878-5964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkcFu1DAQhqMKJErpE3AxJ04Jduw4yaGHqiotUiUu5WxN7PGut1l7sb0LywPw3HXYqldO48N8_6_5XFUfGW0YZfLLptF6xty0lLUNlQ1l_Vl1zoZ-qLtRijflTSmrB8H6d9X7lDaUtsPA5Xn193GNBFOGaXZpvUWfCXhD8ADzHrILngRLPEIkztsIEQ3Ze3fAmGAm22BwJjkQgxnj1nnISPISaC3qXNYKtSqMW3J18HmZzpNdaXTaGSQRds7Mxw_VWwtzwsuXeVH9-Hr7eHNfP3y_-3Zz_VBrLlmutTQUuIAWubUD2G6SoqVWSik0H6SwotNjKyY5MsYnI3lPLYW27ftOoOgsv6g-n3J_gbfgV2oT9tGXRvVntf79NC0C6UhZVzb5aVPHkFJEq3bRbSEeFaNqka426p90tTCKSlWkF-rqRGE54uAwqqTL8booiMWIMsH9h__00roOfvWz2HutFbwrv8ZG_gxYJpmU</recordid><startdate>20120901</startdate><enddate>20120901</enddate><creator>Xiong, Yan Mei</creator><creator>Song, Xiang Zhong</creator><creator>Chen, Chang Zhou</creator><creator>Lin, Hong Ping</creator><creator>Tang, Guo</creator><creator>Huang, Yue</creator><creator>Duan, Jia</creator><creator>Min, Shun Geng</creator><general>Elsevier B.V</general><general>College of Science, China Agricultural University, Beijing 100193, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20120901</creationdate><title>The establishment and evaluation of near infrared universal model to determinate the effective ingredient content in pesticide rapidly</title><author>Xiong, Yan Mei ; Song, Xiang Zhong ; Chen, Chang Zhou ; Lin, Hong Ping ; Tang, Guo ; Huang, Yue ; Duan, Jia ; Min, Shun Geng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-c6d0a34a2e3ff8af5b6420f6664c3864f45c924b69113bd6370f0a227754e45f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Near infrared spectroscopy</topic><topic>Pesticide EC</topic><topic>Quantitative analysis</topic><topic>Universal model</topic><topic>偏最小二乘法</topic><topic>农药</topic><topic>定量分析模型</topic><topic>有效成分含量</topic><topic>测定</topic><topic>评价</topic><topic>近红外</topic><topic>通用模型</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xiong, Yan Mei</creatorcontrib><creatorcontrib>Song, Xiang Zhong</creatorcontrib><creatorcontrib>Chen, Chang Zhou</creatorcontrib><creatorcontrib>Lin, Hong Ping</creatorcontrib><creatorcontrib>Tang, Guo</creatorcontrib><creatorcontrib>Huang, Yue</creatorcontrib><creatorcontrib>Duan, Jia</creatorcontrib><creatorcontrib>Min, Shun Geng</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Chinese chemical letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xiong, Yan Mei</au><au>Song, Xiang Zhong</au><au>Chen, Chang Zhou</au><au>Lin, Hong Ping</au><au>Tang, Guo</au><au>Huang, Yue</au><au>Duan, Jia</au><au>Min, Shun Geng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The establishment and evaluation of near infrared universal model to determinate the effective ingredient content in pesticide rapidly</atitle><jtitle>Chinese chemical letters</jtitle><addtitle>Chinese Chemical Letters</addtitle><date>2012-09-01</date><risdate>2012</risdate><volume>23</volume><issue>9</issue><spage>1047</spage><epage>1050</epage><pages>1047-1050</pages><issn>1001-8417</issn><eissn>1878-5964</eissn><abstract>A near infrared universal quantitative analysis model was established to determinate the effective ingredient content in pesticide EC （hikemalisation） by the PLS （partial least squares） algorithm, the model predictive ability was evaluated by the external inspection method. The model was established among samples containing the same active ingredient from five different companies, and the model determination coefficient R2 and RMSECV （root mean square error of cross validation） were 0.9997 and 0.0223, respectively, the relative error between predicted value and chemical value of the testing set samples was between -2.71% and 3.36%, which indicated that the method to determinate the effective ingredient content in pesticide EC by the established universal model can meet the need of pesticide market monitoring.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.cclet.2012.06.017</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1001-8417 |
| ispartof | Chinese chemical letters, 2012-09, Vol.23 (9), p.1047-1050 |
| issn | 1001-8417 1878-5964 |
| language | eng |
| recordid | cdi_wanfang_journals_zghxkb201209015 |
| source | Elsevier ScienceDirect Journals; Alma/SFX Local Collection |
| subjects | Near infrared spectroscopy Pesticide EC Quantitative analysis Universal model 偏最小二乘法 农药 定量分析模型 有效成分含量 测定 评价 近红外 通用模型 |
| title | The establishment and evaluation of near infrared universal model to determinate the effective ingredient content in pesticide rapidly |
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