Wavelet analysis used for spectral background removal in the determination of glucose from near-infrared single-beam spectra

Wavelet analysis is developed as a preprocessing tool for use in removing background information from near-infrared (near-IR) single-beam spectra before the construction of multivariate calibration models. Three data sets collected with three different near-IR spectrometers are investigated that involve the determination of physiological levels of glucose (1-30 mM) in a simulated biological matrix containing alanine, ascorbate, lactate, triacetin, and urea in phosphate buffer. A factorial design is employed to optimize the specific wavelet function used and the level of decomposition applied, in addition to the spectral range and number of latent variables associated with a partial least-squares calibration model. The prediction performance of the computed models is studied with separate data acquired after the collection of the calibration spectra. This evaluation includes one data set collected over a period of more than 6 months. Preprocessing with wavelet analysis is also compared to the calculation of second-derivative spectra. Over the three data sets evaluated, wavelet analysis is observed to produce better-performing calibration models, with improvements in concentration predictions on the order of 30% being realized relative to models based on either second-derivative spectra or spectra preprocessed with simple additive and multiplicative scaling correction. This methodology allows the construction of stable calibrations directly with single-beam spectra, thereby eliminating the need for the collection of a separate background or reference spectrum.

Evaluation of the IFCC reference method for alanine aminotransferase: spurious blank ALT activity due to contamination of D-alanine with L-alanine, and recommendations for a correction

During an evaluation of the IFCC reference method for alanine aminotransferase (ALT, EC 2.6.1.2), we noted that the specimen blank activity reaction was markedly increased. Experience with five different lots of D-alanine from four commercial sources indicated that substantial and varying negative bias (up to -10%) could be introduced into the blank-corrected ALT activity, depending on the lot of D-alanine used. Although the IFCC procedure for ALT mentions the possibility of this L-alanine contamination, we believe that the degree of contamination in commercial reagents is underestimated. Analyzing the five lots of D-alanine for L-alanine, we found the magnitude of negative bias to be correlated directly with L-alanine contamination. Here, we describe a quick, sensitive assay based on coupled reactions of L-amino acid oxidase/peroxidase for quantifying L-alanine in the concentration range of 0-15 mmol/L without a sample-dilution step. Results by this alternative L-alanine assay agreed well with those recommended in the IFCC ALT procedure. Further examination suggested an even simpler solution to the L-alanine contamination problem, because we found no difference in the blank-corrected ALT activity determined in Tris HCl buffer, with or without D-alanine (free of L-alanine). We therefore propose that D-alanine be omitted from the IFCC reference ALT procedure.