Chemometrics and Species Identification (Topics in Current by Carla Armanino, Michele Forina, Philip H.E. Gardiner, E.J.

By Carla Armanino, Michele Forina, Philip H.E. Gardiner, E.J. van den Heuvel, Gerrit Kateman, Silvia Lanteri, H.C. Smit, Bernard G.M. Vandeginste

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49 49 52 4 Sampling for Detailed Description and Control 56 . . . . . . . 5 S a m p l i n g for Monitoring . . . . . . . . . . . . 60 6 O t h e r Objectives . . . . . . . . . . . . . 61 7 Conclusion . . . . . . . . . . . . . . . 61 8 References . . . . . . . . . . . . . . . 61 Sampling strategies depend on the type of the object to be sampled, the objective of the principal and the means that are available for analysis. Taking into account the properties of the object, optimal sampling schemes can be developed for particulate material and internally correlated objects (fluids, gases and soil).

These are roughly divided into three categories: interferences, matrix effects or interactions and a combination of both, a so-called interacting interference. An interferent is a compound, other than the anatyte, which contributes to the measured signal. When a compound other than the analyte does not contribute to signal, but instead influences the relationship between the analyte concentration and signal, there is a matrix interaction. An interacting interferent does both: it contributes to the signal and changes the sensitivity for the analyte.

Soc. 94, 421 (1972) 60. Derde, M. , Massart, D. : Chemisch Magazine 40, 563 (1984) 61. , Massart, D. L. : J. of Pharmaceutical and Biomedical analysis 1 (3), 331 (1983) 62. Dessy, R. ): Anal. Chem. 56, 1312A (1984) 63. Wade, A. P. D. Thesis, University of Wales, Swansea (1985) 64. Vandeginste, B. G. M. : Analusis 12, 496 (1984) 65. Klaessens, J. W. , and Vandeginste, B. G. M. : Trends Anal. , 4 (5), 114 (1985) 66. Meglen, R. : in Chemometrics Newsletter 12, 4 (1985) 67. Davies, O. L. (ed): "The design and analysis of industrial experiments", Oliver and Boyd, Edinburgh 1971 68.

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