Determination of amino acid content in tea infusion using NIR spectroscopy combined with characteristic variables selection methods
采用透射方式获取茶汤的近红外光谱, 利用特征变量筛选方法从茶汤的近红外光谱中提取氨基酸光谱信息, 建立茶汤中氨基酸含量的快速检测模型。分别利用间隔偏最小二乘法 (iPLS)和联合区间偏最小二乘法 (siPLS)从茶汤的近红外光谱中提取微弱的氨基酸信息, 建立其近红外光谱定量分析模型。结果表明,利用两种方法筛选的特征变量都避开了水的强吸收峰影响, 但利用siPLS方法建立的模型性能明显好于iPLS的。最优的siPLS模型对校正集样本的相关系数为0.912, 交互验证均方根误差为0.185; 用预测集中独立样本检验模型性能, 其相关系数为0.887, 预测均方根误差为0.202。研究结果可为液体茶...
Saved in:
Published in | Jiangxi nongye daxue xuebao = Acta agriculturae universitatis jiangxiensis Vol. 34; no. 5 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | Chinese |
Published |
01.10.2012
|
Subjects | |
Online Access | Get more information |
Cover
Loading…
Abstract | 采用透射方式获取茶汤的近红外光谱, 利用特征变量筛选方法从茶汤的近红外光谱中提取氨基酸光谱信息, 建立茶汤中氨基酸含量的快速检测模型。分别利用间隔偏最小二乘法 (iPLS)和联合区间偏最小二乘法 (siPLS)从茶汤的近红外光谱中提取微弱的氨基酸信息, 建立其近红外光谱定量分析模型。结果表明,利用两种方法筛选的特征变量都避开了水的强吸收峰影响, 但利用siPLS方法建立的模型性能明显好于iPLS的。最优的siPLS模型对校正集样本的相关系数为0.912, 交互验证均方根误差为0.185; 用预测集中独立样本检验模型性能, 其相关系数为0.887, 预测均方根误差为0.202。研究结果可为液体茶饮料中的成分实时快速检测提供参考。
The objective of this study was to evaluate the capacity of NIR spectroscopy to rapidly predict the content of amino acid in tea infusion. Transmission mode was used to attain NIR spectroscopy of tea infusion. Interval partial least square (iPLS) and synergy interval partial least square (siPLS) were applied to select the feeble amino acid information from NIR spectroscopy of tea infusion in this study. The optimized characteristic variables were used to develop PLS models. The results show that the selected feature variables based on iPLS and siPLS were not within the range of the strong Absorbance for water, but the built model using siPLS had better performance than that of iPLS. The optimal si |
---|---|
AbstractList | 采用透射方式获取茶汤的近红外光谱, 利用特征变量筛选方法从茶汤的近红外光谱中提取氨基酸光谱信息, 建立茶汤中氨基酸含量的快速检测模型。分别利用间隔偏最小二乘法 (iPLS)和联合区间偏最小二乘法 (siPLS)从茶汤的近红外光谱中提取微弱的氨基酸信息, 建立其近红外光谱定量分析模型。结果表明,利用两种方法筛选的特征变量都避开了水的强吸收峰影响, 但利用siPLS方法建立的模型性能明显好于iPLS的。最优的siPLS模型对校正集样本的相关系数为0.912, 交互验证均方根误差为0.185; 用预测集中独立样本检验模型性能, 其相关系数为0.887, 预测均方根误差为0.202。研究结果可为液体茶饮料中的成分实时快速检测提供参考。
The objective of this study was to evaluate the capacity of NIR spectroscopy to rapidly predict the content of amino acid in tea infusion. Transmission mode was used to attain NIR spectroscopy of tea infusion. Interval partial least square (iPLS) and synergy interval partial least square (siPLS) were applied to select the feeble amino acid information from NIR spectroscopy of tea infusion in this study. The optimized characteristic variables were used to develop PLS models. The results show that the selected feature variables based on iPLS and siPLS were not within the range of the strong Absorbance for water, but the built model using siPLS had better performance than that of iPLS. The optimal si |
Author | Yan Linyuan, Jiangxi Agricultural University, Nanchang (China), College of Engineering Wu Yanhong, Jiangxi Agricultural University, Nanchang (China), College of Engineering Ai Shirong, Jiangxi Agricultural University, Nanchang (China), College of Software |
Author_xml | – sequence: 1 fullname: Wu Yanhong, Jiangxi Agricultural University, Nanchang (China), College of Engineering – sequence: 2 fullname: Ai Shirong, Jiangxi Agricultural University, Nanchang (China), College of Software – sequence: 3 fullname: Yan Linyuan, Jiangxi Agricultural University, Nanchang (China), College of Engineering |
BookMark | eNqFjsFqw0AMRPeQQtM2nxDQDwQ2a2qac9rSXnIovQd5LccCWwqWktJzfjwb6L0XDWJmHvMQZqJCszBfxxhXKb3U92Fhxk2MKdVVldI8XF7JaRpZ0FkFtAMsjwJmbiGrOIkDCzhhke5kt1S5coDd5xfYkbJPalmPvyU-NizUwg97D7nHCXOBszlnOOPE2AxkYDSU0o0zkvfa2lO463AwWvzpY1i-v31vP1Yd6h4PBbDf7lJcV2V3_bxJ__lXaW9OpQ |
ContentType | Journal Article |
DBID | FBQ |
DatabaseName | AGRIS |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: FBQ name: AGRIS url: http://www.fao.org/agris/Centre.asp?Menu_1ID=DB&Menu_2ID=DB1&Language=EN&Content=http://www.fao.org/agris/search?Language=EN sourceTypes: Publisher |
DeliveryMethod | no_fulltext_linktorsrc |
DocumentTitle_FL | 近红外光谱结合特征变量筛选方法测定茶汤中的氨基酸含量 |
ExternalDocumentID | CN2013002659 |
GroupedDBID | -04 23M 5GY 5XA 5XE AFFDO ALMA_UNASSIGNED_HOLDINGS CCEZO CHDYS ECGQY FBQ U1G U5N |
ID | FETCH-fao_agris_CN20130026592 |
ISSN | 1000-2286 |
IngestDate | Tue Nov 07 23:23:43 EST 2023 |
IsPeerReviewed | false |
IsScholarly | true |
Issue | 5 |
Language | Chinese |
LinkModel | OpenURL |
MergedId | FETCHMERGED-fao_agris_CN20130026592 |
Notes | 2013002659 Q04 |
ParticipantIDs | fao_agris_CN2013002659 |
PublicationCentury | 2000 |
PublicationDate | Oct. 2012 |
PublicationDateYYYYMMDD | 2012-10-01 |
PublicationDate_xml | – month: 10 year: 2012 text: Oct. 2012 |
PublicationDecade | 2010 |
PublicationTitle | Jiangxi nongye daxue xuebao = Acta agriculturae universitatis jiangxiensis |
PublicationYear | 2012 |
SSID | ssib002263322 ssib051373411 ssib001050174 ssib001101296 ssj0002507615 |
Score | 3.863838 |
Snippet | 采用透射方式获取茶汤的近红外光谱, 利用特征变量筛选方法从茶汤的近红外光谱中提取氨基酸光谱信息, 建立茶汤中氨基酸含量的快速检测模型。分别利用间隔偏最小二乘法 (iPLS)和联合区间偏最小二乘法 (siPLS)从茶汤的近红外光谱中提取微弱的氨基酸信息,... |
SourceID | fao |
SourceType | Publisher |
SubjectTerms | ACIDE AMINE AMINO ACIDS AMINOACIDOS ESPECTROMETRIA http://www.fao.org/aos/agrovoc#c_342 http://www.fao.org/aos/agrovoc#c_50131 http://www.fao.org/aos/agrovoc#c_7283 http://www.fao.org/aos/agrovoc#c_7634 INFUSION PERFUSION SPECTROMETRIE SPECTROMETRY TE TEA THE |
Title | Determination of amino acid content in tea infusion using NIR spectroscopy combined with characteristic variables selection methods |
Volume | 34 |
hasFullText | |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3Pb9MwFLZWduGCQDABY9M7sJNV1DhN3R52KPuhgUQPbIjtNDmJ02aakmltxrrr_vG958aOIw0JEDs0alLVSfv82d97_t4zYx9lnIxk2tddEQ1TdFDCpDvUUncj1Ut7UgZparbp_DYZHP3ofz2NTtc6u55qqVrEn5K7R_NK_sWqeA3tSlmyf2FZ1yhewPdoXzyihfH4Rzbet1oWS_sUnpRcJXlqNOi0zk86RsqGLLKKAmO8MsGByZfv3CRZUjHL8mpJ0nL0kZ0WvVXGmd-gQ00pVnM-N9vmUDurrafnLXKLXW16m_OiLKZLzVN1W2mOr1iVfCfc5-NkobiaXttyH5pXVhZCORb8YvV9ktQ7pv-z4meqmFnhcH2HcdPIpactsdMFBcHN8jRtDr4jRiYa3ERIvBqMrr_n_HhGGX__8TbHOMP9Uo24-Ix2SM6LZbWKOT_Nb6kDOIFwUkA751ByvxB1RfB6UqojvLm37N8uC743EbTojC50NOqwjhzSIH_4ufEFkDjjaOvX-qOYo18bbxCGTe3GKAglMprABSiRG8uB2QHEPSDyr0z5_OvkJXtRO04wXqHgFVu7m71m9y0EQJmBQQAQAqBGAOQFIALAIgAMAgARAD4CwCIACAHQRgA4BIBDANQIeMO2Dg9O9o66-NDn1Lvn5_6_JjbYMwSEfssAaTK6LaqfBCLrR72eiuNIhiONXFZkqYresY3H23j_uw822fPG1h_YeoZDjt5C_rqIt42dHgCdJqf8 |
link.rule.ids | 783 |
linkProvider | FAO Food and Agriculture Organization of the United Nations |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Determination+of+amino+acid+content+in+tea+infusion+using+NIR+spectroscopy+combined+with+characteristic+variables+selection+methods&rft.jtitle=Jiangxi+nongye+daxue+xuebao+%3D+Acta+agriculturae+universitatis+jiangxiensis&rft.au=Wu+Yanhong%2C+Jiangxi+Agricultural+University%2C+Nanchang+%28China%29%2C+College+of+Engineering&rft.au=Ai+Shirong%2C+Jiangxi+Agricultural+University%2C+Nanchang+%28China%29%2C+College+of+Software&rft.au=Yan+Linyuan%2C+Jiangxi+Agricultural+University%2C+Nanchang+%28China%29%2C+College+of+Engineering&rft.date=2012-10-01&rft.issn=1000-2286&rft.volume=34&rft.issue=5&rft.externalDocID=CN2013002659 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1000-2286&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1000-2286&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1000-2286&client=summon |