Quality assurance spectral analysis

R.C. Lyon, D.S. Lester, E.N. Lewis, E. Lee, L.X. Yu, E.H. Jefferson and A. S., Hussain, Near-infrared spectral imaging for quality assurance of pharmaceutical products analysis of tablets to assess powder blend homogeneity, AAPS Pharm. Sci. Tech., 3(3), 1-15 (2002). 

Lyon, R.C. Lester, D.S. Lewis, E.N. Lee, E. Yu, L.X. Jefferson, E.H. 8t Hussain, A.S., Near-Infrared Spectral Imaging for Quality Assurance of Pharmaceutical Products Analysis of Tablets to Assess Powder Blend Homogeneity AAPS PharmSciTech. 2002, 3(3), article 17, 1-15. 

The RELMA method is a laser induced emission spectral analysis, which is applicable as an instrament for quality assurance in the rubber mixing room. With the RELMA technique, relative element concentrations and their distribution can be determined in a macroscopic scale in usual cycle times of internal mixers. Therefore, quality statements about the compound or even end products can be drawn very fast. Within this paper the optimised RELMA method will be presented and some examples for the application will be shown. In the second part of the application, the RELMA method as a quality assurance instrament for liquids (plasticisers) and disperse solids (carbon black) will be described. 11 refs. 

To detect adulteration of wine. Bums et al. (2002) found that the ratios of acetylated to p-coumaroylated conjugates of nine characteristic anthocyanins served as useful parameters to determine grape cultivars for a type of wine. Our laboratory utilized mid-infrared spectroscopy combined with multivariate analysis to provide spectral signature profiles that allowed the chemically based classification of antho-cyanin-containing fruits juices and produced distinctive and reproducible chemical fingerprints, making it possible to discriminate different juices. " This new application of ATR-FTIR to detect adulteration in anthocyanin-containing juices and foods may be an effective and efficient method for manufacturers to assure product quality and authenticity. 

However, it must be kept clear in mind that direct instrumental detection methods for trace substances are physically relative methods which require calibration, during which systematic errors, caused for instance by spectral and nonspectral interferences, may occur. Relative methods are in fact matrix-dependent and would require the analysis of Certified Reference Materials (CRMs) in order to guarantee the good quality of the analytical data. Unfortunately, CRMs are not available for polar snow and ice and hence the only way to assure the quality of the data is, whenever possible, to make careful intercomparisons of the techniques able to measure the same analytes with different approaches. 

---