NATIVE STATE OF METALS IN NON-DIGESTED TISSUES BY PARTIAL LEAST SQUARES REGRESSION ANALYSIS OF VISIBLE AND NEAR-INFRARED SPECTRA
スポンサーリンク
概要
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A procedure has been used for the classification and quantification of metals on the basis of a chemometric analysis of visible and near-infrared (Vis-NIR) spectra of metals such as Cu, Mn and Fe in the brain, liver, kidney and testis of mice without digestion. Transmittance spectra in the 600- to 1000-nm region subjected to partial least-squares (PLS) regression analysis and leave-out cross-validation facilitated development of chemometrics models for predicting metal concentration. From the models, Cu, Mn and Fe yielded the coefficients of determination in cross-validation (R^2_VAL) as 0.8013, 0.9021 and 0.8295 with standard errors of cross-validation (SECV) of 3.399, 0.8237 and 76.512 μg per g tissue, respectively. The respective detection limits of Cu, Mn and Fe were 12.19, 2.616 and 266.32 μg per g tissue. Furthermore, the regression coefficients of the models showed specific patterns for the respective metals. These results suggest that Vis-NIR spectroscopy may have a great potential for analysis of native state of metals in tissues.
- 日本トキシコロジー学会の論文
- 2007-05-16
著者
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Ikuta Kazuyoshi
Department Of Virology Research Institute For Microbial Diseases Osaka University
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IKUTA Kazuyoshi
Research Institute for Microbial Diseases, Osaka University
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Onodera Takashi
School Of Agricultural And Life Sciences University Of Tokyo
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Onodera Takashi
Department Of Molecular Immunology School Of Agriculture And Life Sciences University Of Tokyo
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Onodera Takashi
Faculty Of Agriculture The University Of Tokyo
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Sakudo Akikazu
School Of Agricultural And Life Sciences University Of Tokyo
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Sakudo Akikazu
Department Of Molecular Immunology School Of Agricultural And Life Sciences University Of Tokyo
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Onozuka Taisuke
Faculty Of Agriculture Kobe University
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YOSHIMURA Etsuro
School of Agricultural and Life Sciences, University of Tokyo
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TSENKOVA Roumiana
Faculty of Agriculture, Kobe University
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Yoshimura Etsuro
School Of Agricultural And Life Sciences University Of Tokyo
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Tsenkova Roumiana
Faculty Of Agriculture Kobe University
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Ikuta Kazuyoshi
Department of Virology, Research Institute for Microbial Diseases, Osaka University
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