16 research outputs found
High rate of complications and radiographic loosening of the biaxial total wrist arthroplasty in rheumatoid arthritis: 32 wrists followed for 6 (5–8) years
Impaired insulin-like growth factor I-mediated stimulation of glucose incorporation into glycogen in vivo in the ob/ob mouse
Repeated intrathecal administration of plasmid DNA complexed with polyethylene glycol-grafted polyethylenimine led to prolonged transgene expression in the spinal cord
10.1038/sj.gt.3301970Gene Therapy10141179-1188GETH
Severe cerebral hypovolemia on perfusion CT and lower body weight are associated with parenchymal haemorrhage after thrombolysis
The use of diffuse reflectance mid-infrared spectroscopy for the prediction of the concentration of chemical elements estimated by X-ray fluorescence in agricultural and grazing European soils
The aim of this study was to develop partial least-squares (PLS) regression models using diffuse reflectance
Fourier transform mid-infrared (MIR) spectroscopy for the prediction of the concentration of elements
in soil determined by X-ray fluorescence (XRF). A total of 4130 soils from the GEMAS European
soil sampling program (geochemical mapping of agricultural soils and grazing land of Europe) were used
for the development of models to predict concentrations of Al, As, Ba, Ca, Ce, Co, Cr, Cs, Cu, Fe, Ga, Hf, K, La,
Mg, Mn, Na, Nb, Ni, P, Pb, Rb, Sc, Si, Sr, Th, Ti, V, Y, Zn and Zr in soil using MIR spectroscopy. The results
were compared with those obtained where MIR models were developed with the same soils but using the
concentration of elements extracted with aqua regia (AR).
The PLS models were cross-validated against the experimental log-transformed XRF values of all the
elements. The calibration models were derived from a set of 1000 randomly selected calibration samples.
The rest of the samples (3130) were used as an independent validation set. According to the residual predictive
deviation (RPD), predictions were classified as follows: ‘‘Good quality’’, Ca (2.9), Mg (2.5), Al (2.3),
Fe (2.2), Ga (2.2), Si (2.1), Na (2.0); ‘‘Indicator quality’’, V (1.9), Ni (1.9), Sc (1.9), K (1.8), Ti (1.8), Rb (1.8),
Zn (1.7), Co (1.7), Zr (1.6), Cr (1.6), Sr (1.6), Y (1.6), Nb (1.6), Ba (1.5), Mn (1.5), As (1.5), Ce (1.5); ‘‘Poor
quality’’, Cs (1.4), Th (1.4), P (1.4), Cu (1.4), Pb (1.3), La (1.2), Hf (1.1).
Good agreement was observed between the RPD values obtained for the elements analysed in this
study and those from the AR study. Despite the different elemental concentrations determined by the
XRF method compared to the AR method, MIR spectroscopy was still capable of predicting elemental
concentrations
