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1.
Acta Pharmaceutica Sinica ; (12): 113-118, 2013.
Article Dans Chinois | WPRIM | ID: wpr-235695

Résumé

A novel rapid method for detection of the illicit beta2-agonist additives in health foods and traditional Chinese patent medicines was developed with the desorption corona beam ionization mass spectrometry (DCBI-MS) technique. The DCBI conditions including temperature and sample volume were optimized according to the resulting mass spectra intensity. Matrix effect on 9 beta2-agonists additives was not significant in the proposed rapid determination procedure. All of the 9 target molecules were detected within 1 min. Quantification was achieved based on the typical fragment ion in MS2 spectra of each analyte. The method showed good linear coefficients in the range of 1-100 mg x L(-1) for all analytes. The relative deviation values were between 14.29% and 25.13%. Ten claimed antitussive and antiasthmatic health foods and traditional Chinese patent medicines from local pharmacies were analyzed. All of them were negative with the proposed DCBI-MS method. Without tedious sample pretreatments, the developed DCBI-MS is simple, rapid and sensitive for rapid qualification and semi-quantification of the illicit beta2-agonist additives in health foods and traditional Chinese patent medicines.


Sujets)
Agonistes des récepteurs béta-2 adrénergiques , Médicaments issus de plantes chinoises , Chimie , Nourriture biologique , Spectrométrie de masse MALDI , Détection d'abus de substances , Méthodes , Spectrométrie de masse en tandem
2.
China Journal of Chinese Materia Medica ; (24): 143-146, 2003.
Article Dans Chinois | WPRIM | ID: wpr-266798

Résumé

<p><b>OBJECTIVE</b>To establish chemical pattern recognition method for the identification and evaluation of Atractylodes macrocephala.</p><p><b>METHOD</b>The chemical constituents in methanol extract of 32 samples of A. macrocephala were determined by HPLC. The fingerprints were obtained and were handled by hierarchical clustering analysis and stepwise discriminant analysis.</p><p><b>RESULT AND CONCLUSION</b>According to the result of classification, all samples collected were devided into three Grades--the superior, the ordinary and the fake. Chemical pattern recognition method was established. It may be of practical value for the quality control of A. macrocephala.</p>


Sujets)
Atractylodes , Chimie , Chromatographie en phase liquide à haute performance , Méthodes , Analyse de regroupements , Reconnaissance automatique des formes , Plantes médicinales , Chimie , Contrôle de qualité , Rhizome , Chimie
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