Abstract
Two mathematical algorithms are presented in this paper, which permit the evaluation of the polychlorinated biphenyls existing in environmental samples, as functions of mixtures of commercial formulations (Aroclors). The first algorithm generalizes the one proposed by Zobel, while the second one is a new application of the Simplex optimization method of Nelder and Mead. The proposed algorithms have been applied to theoretical samples (linear combinations of chromatogrammes of Aroclors), synthetic samples (mixtures of standard solutions) and real samples with discrepancies of the order of less than 1, 6 and 25% respectively, between the chromatogram to be quantized and the proposed one.
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