UPCOMING RESEARCH Optimal Minimal Neural Interpretation of Spectra OMNIS is based on principal component analysis and artificial neural networks. It is useful for the classification or quantitation of visible and near-IR spectra as well as sound or any other large quantity of correlated data. OMNIS reduced the standard error of prediction on two near-IR data sets by 5 0 - 7 5 % as compared with PCR and PLS. Claus Borggaard* and Hans Henrik Thodberg, The Danish Meat Research Institute, Maglegaardsvej 2, DK-4000 Roskilde, Denmark Spray Extraction of Volatile Organic Compounds from Aqueous Systems into the Gas Phase for Gas Chromatography/Mass Spectrometry Volatile and semivolatile organic compounds in aqueous systems can be extracted into the gas phase by dispersing very small droplets of the liquid phase in a carrier gas. Low concentrations (down to 1 0 - 3 0 ng/L with 2 min of sampling) of contaminants can be determined by GC/MS using spray-and-trap sampling. Gôkhan Baykut* and Annette Voigt, Bruker-Franzen Analytik GmbH, Fahrenheit Str. 4, 2800 Bremen 33, Germany
• p H , ORP, DO Electrodes · Conductivity Sensors · Custom Sensor D e s i g n s · Fermentation, Steam-Sterilizable Probes · New Combination Ion-Selective Electrodes pHoenix Electrode Company's new catalogue offers 48 different styles of pH & ORP electrodes along with 27 types of ISE's
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ANALYTICAL CHEMISTRY, VOL. 64, NO. 4, FEBRUARY 15, 1992 · 257 A
