Landon Kryger

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Since the late sixties, pattern recognition techniques have been used by analytical chemists to facilitate the interpretation of multivariate analytical information. Most research within the field has focused on adapting pattern recognition methods to chemical data. This has been necessary since chemical data are often complicated by the fact that(More)
The objective of the present study was to develop a solid mercury free electrode for the voltammetric determination of traces of nickel(II) in solution. For this purpose chemically modified electrodes (CME's) were constructed from glassy carbon coated with dimethylglyoxime-containing polymers. CME's based on a composite matrix, which contained polyvinyl(More)
The potential-time transient in potentiometric stripping analysis with a rotating mercury-film electrode is simulated digitally by means of the finite-difference Cranck-Nicolson method. Good agreement with experimental results is obtained. The relations between peak shape and signal duration for reversible analyte systems are discussed, and it is shown that(More)
The use of a single-point calibration in flow potentiometric stripping analysis has been evaluated. For a number of sample matrices, the results obtained by calibration methods agree with those obtained by using standard addition. The most serious source of systematic error is inhibition in the deposition step, caused by organic surfactants and chelating(More)
A chemically modified electrode (CME) containing 1-(2-pyridylazo-2-naphthol is evaluated for its ability to preconcentrate bismuth(III) prior to quantification by voltammetry. The CME approach is shown to be sufficiently sensitive for sub-nanomolar concentrations to be determinable after chemical deposition for 60 sec. Further, when the bismuth is deposited(More)
Chemically modified electrodes based on zeolite-containing graphite pastes were constructed and evaluated as sensor electrodes for the voltammetric determination of traces of metallic species in solution. Zeolite molecular sieves with pore sizes of 3, 4, 5, and 10 A were all suitable for chemical deposition and subsequent voltammetric quantitation of traces(More)
We describe a collaborative project between our research group and a small west-coast business to apply machine learning techniques to a document processing task. This experience suggests two key points: (1) even as machine learning and artificial intelligence matures, there are many business applications that have not yet exploited these techniques; and(More)
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