Bk. Choi et al., Quantitative LC-ESI-MS analysis for pesticides in a complex environmental matrix using external and internal standards, INT J ENV A, 77(4), 2000, pp. 305-322
Citations number
13
Categorie Soggetti
Environment/Ecology
Journal title
INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY
Quantitative liquid chromatography electrospray mass spectrometry (LC-MS) a
nalysis for pesticides in a complex environmental matrix using external and
internal standard calibration was investigated. Various approaches to intr
oducing different internal standard compounds to address quantitative error
s associated with signal suppression were also examined. The study involved
the analysis of pesticides in wheat hay matrix samples using three kinds o
f internal standard compounds: deuterium labeled (D-3) carbon-13 (singly la
beled), and structural analogs (derivatives) of the target analytes. Introd
uction of the internal standard by volumetric addition and direct post-colu
mn infusion were also studied and compared.
Isotopically labeled internal standards (i.e. D-3- C-13-) were found to be
effective in correcting quantitative errors associated with signal suppress
ion. The application of singly labeled C-13 compounds may result in nonline
ar calibration due to mass interference with the target analyte species. Th
e interference may be compensated by using quadratic curve-fitting or subtr
action of the interfering component. Although ineffective as volumetric int
ernal standards, structural analogs can be effective in compensating for si
gnal suppression when introduced into the LC effluent by continuous post-co
lumn infusion. Furthermore, the post-column introduction method allows the
application of a single internal standard compound for the quantification o
f each analyte in a multi-component mixture.
The use of internal standards can be effectively incorporated into residue
analysis development methods for pesticides in environmental matrices. High
accuracy and reproducibility can be achieved while improving method effici
ency by reducing the need for comprehensive sample clean-up.