Automated analysis system was developed to identify and estimate major components of cosmetic products using combination of two analytical methods rapidly and accurately. This system consists of two sub-systems corresponding to the two different groups of analytical data, and a total-system which produces final results by comparing and integrating the output from each sub-system.
In the first
13C-NMR sub-system, the chemical shifts of unknown spectrum are compared with the chemical shifts of the sub-structures of cosmetic ingredients, which have been registered in the System/34 as data base, and the sub-structures likely to be present in sample are retrieved. This is followed by the procedure to list up the total-structures (in most cases, expressed as homologous series) of cosmetic ingredients that can be constructed from the retrieved substructures by searching the total-structure data base. All the organic compounds, registered as data base can be retrieved so long as they are present at a level higher than their respective detection limits. At the same time, the approximate contents of individual total-structures retrieved are determined from the
13C-NMR signal intensities, and are divided into three ranks, major (rank 3), medium (rank 2) and minor (rank 1).
In the second GC sub-system, the retention time of each peak is compared with those of n-alkanes previously measured under the same conditions, and is converted into MU values which is expressed as the corresponding carbon number of n-alkane. By doing so, each compound shows a definite value regardless of the measuring conditions. Hence, each peak observed in an unknown sample can be identified by comparing its MU values with those of standard compounds registered as data base. At the same time, each ingredient is determined quantitatively from its peak area because of the excellent quantitative performance of GC.
Having such performances as described above, each sub-system can of course be used independently; however, to ensure correct results, it is necessary to compare and integrate the solutions obtained from these sub-systems, The total system is designed to compare the two results qualitatively, extract the components common to the two sub-systems, compare the semi-quantitative values of these common components, and take, as final solutions, only those ingredients which have been confirmed to present in nearly the same amount. Qualitative comparison is performed through comparison of common code #s registered in each data base, while quantitative comparison is executed through signal intensity ranking as described above.
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