Native state of metals in non-digested tissues by partial least squares regression analysis of visible and near-infrared spectra.
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 microg per g tissue, respectively. The respective detection limits of Cu, Mn and Fe were 12.19, 2.616 and 266.32 microg 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.
Sakudo
Akikazu
A
School of Agricultural and Life Sciences, University of Tokyo, Yayoi, Tokyo, Japan.
Yoshimura
Etsuro
E
Tsenkova
Roumiana
R
Ikuta
Kazuyoshi
K
Onodera
Takashi
T
D000818:Animals; D001923:Brain Chemistry; D007668:Kidney / Q000737:chemistry; D016018:Least-Squares Analysis; D008099:Liver / Q000737:chemistry; D008297:Male; D019216:Metals, Heavy / Q000737:chemistry*; D051379:Mice; D008810:Mice, Inbred C57BL; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D013737:Testis / Q000737:chemistry
D019216:Metals, Heavy