کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1167816 960562 2009 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel second-order standard addition analytical method based on data processing with multidimensional partial least-squares and residual bilinearization
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
A novel second-order standard addition analytical method based on data processing with multidimensional partial least-squares and residual bilinearization
چکیده انگلیسی

In the presence of analyte–background interactions and a significant background signal, both second-order multivariate calibration and standard addition are required for successful analyte quantitation achieving the second-order advantage. This report discusses a modified second-order standard addition method, in which the test data matrix is subtracted from the standard addition matrices, and quantitation proceeds via the classical external calibration procedure. It is shown that this novel data processing method allows one to apply not only parallel factor analysis (PARAFAC) and multivariate curve resolution-alternating least-squares (MCR-ALS), but also the recently introduced and more flexible partial least-squares (PLS) models coupled to residual bilinearization (RBL). In particular, the multidimensional variant N-PLS/RBL is shown to produce the best analytical results. The comparison is carried out with the aid of a set of simulated data, as well as two experimental data sets: one aimed at the determination of salicylate in human serum in the presence of naproxen as an additional interferent, and the second one devoted to the analysis of danofloxacin in human serum in the presence of salicylate.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Analytica Chimica Acta - Volume 651, Issue 2, 5 October 2009, Pages 165–172
نویسندگان
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