Comparison of the vibration mode of metals in HNO3 by a partial least-squares regression analysis of near-infrared spectra.

The near-infrared (NIR) spectra of such metals as Cu(II), Mn(II), Zn(II) and Fe(III) in HNO(3) in the 700-1,860 nm region were subjected to a partial least-squares regression analysis and leave-out cross-validation to develop chemometric models. The models yielded a coefficient of determination in cross validation of 0.9744 [Cu(II)], 0.9631 [Mn(II)], 0.9154 [Zn(II)] and 0.741 [Fe(III)]. The regression coefficients for Cu(II), Mn(II) and Zn(II), but not for Fe(III), showed strong negative peaks at around 1,050-1,200 nm, a zone where spectral bands have been reported to decrease with increasing pH value. A positive peak at around 710-750 nm, which may have been due to water absorption, was observed in regression coefficients of Cu(II), Mn(II) and Zn(II) but not in Fe(III), while a negative peak was observed in that for Fe(III) at around 710-750 nm. These results indicate that the divalent cations [Cu(II), Mn(II) and Zn(II)] showed different absorption in the NIR region from the trivalent cation [Fe(III)], suggesting that the vibration mode of water, which mirrors the interaction between cations and water, may be influenced by valency.

A novel diagnostic method for human immunodeficiency virus type-1 in plasma by near-infrared spectroscopy.

Presently, the diagnosis of virus infections is based mainly on serological assays. Although polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA) have been increasingly used for the diagnosis of such viral infections, the risk of transfusion-transmitted blood-borne viruses remains. Furthermore, PCR and ELISA are expensive and time-consuming, and sometimes cause falsepositive or false-negative results. Therefore, a rapid, accurate and cost-effective diagnostic procedure is needed. We subjected plasma from individuals infected with human immunodeficiency virus type-1 (HIV-1), the causative agent of acquired immune deficiency syndrome (AIDS), as well as plasma from uninfected individuals as a control to near-infrared (NIR) spectroscopy, which may provide a rapid diagnostic method for HIV-1 infection without using any reagent. NIR spectra in the 600-1,000 nm region for plasma from pre-serologically HIV-1-infected individuals and healthy donors were subjected to partial least squares (PLS) regression analysis and leave-out cross-validation to develop a multivariate model to estimate the concentration of HIV-1. Simultaneously, the same plasma samples were examined for HIV-1 p24 by ELISA. The results obtained by the NIR spectroscopy model for HIV-1 yielded a good correlation with those obtained by the reference method (HIV-1 p24 ELISA). These results suggest that NIR spectroscopy using plasma could provide a rapid, accurate, cost-effective tool for large-scale diagnosis of HIV-1 infection.