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1.
Element mobility and availability in natural solid matrices can be studied with single and sequential extraction procedures; such procedures provide reliable and useful information only if the experiments are correctly planned and executed and the results are properly interpreted. Chemometrics can be a valuable tool for these aims, especially taking into account the large amounts of data generated with extraction essays and the complexity of the processes under investigation. This review deals with the application of chemometrics in research studies involving single and sequential extractions on soils or sediments, for several purposes: the development and optimization of the extraction conditions, the calculation of element fractionation, the visual illustration of the experimental results, the acquisition of different areas of information, including relationships among variables, similarities and differences among samples, causes of the observed behaviour (e.g. source identification), risk assessment, models and predictions of future events. In Part I of the review, following an overview on extraction procedures, the applications of univariate and bivariate chemometric methods are reported; then the principles of multivariate techniques for pattern recognition based on variable reduction, their applications and the main findings obtained are addressed.  相似文献   

2.
A second part in the development of a generic flow injection analysis (FIA) method to determine compounds with a secondary amine or amide in their structure is described. This part consists in the selection and evaluation of the chemical reaction conditions. Sodium hypochlorite first converts the secondary amine or the amide to a primary amine. The latter reacts with o-phthalaldehyde (OPA) and a thiol (N-acetylcysteine (NAC)) to form a derivative which can be measured fluorimetrically. To investigate the influence of the different chemical reaction parameters on the peak height for a set of 31 pharmaceutical compounds, a quarter-fraction factorial design for six factors at two levels (26-2-resolution IV, 16 experiments) was executed. Effects on the responses were calculated for each compound. Parallel coordinate geometry (PCG) plots and principal component analysis (PCA) were also applied on the measured responses as aids in the interpretation of the results.  相似文献   

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