Use of multiple emission lines and principal component regression for quantitative analysis in inductively coupled plasma atomic emission spectrometry with charge coupled device detection

AbstractIn the present paper, multi-element characterisation of 26 bagged teas was carried out using inductively-coupled plasma atomic emission spectrometry. Na, K, Ca and Mg were the metals with major contents. Among the essential elements, Fe and Zn were the most abundant, followed by Se, Cu, Mo and Cr. The tea bag samples also contained significant contents of Mn and Al. The chemometric techniques of linear correlation analysis, principal component analysis (PCA) and cluster analysis (CA) were used for differentiation of the tea bag samples according to their metal content. The samples analysed were classified into four groups by PCA and CA. The first group includes hibiscus, nettle, mint, rtanj tea, thyme, bearberry and sage. Green and black teas are in the second group. The third group contains strawberry, lime, pineapple, pomegranate, elder, blueberry, milfoil, apricot and chamomile. Exotic fruits, sweet cherry, forest fruits, apple, St John’s wort, rose hips, cherry and raspberry are in the fourth group.

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Optimised simultaneous multi-element analysis of environmental slurry samples by inductively coupled plasma atomic emission spectrometry using a segmented array charge-coupled device detector

Analytica Chimica Acta ◽

10.1016/0003-2670(95)00151-o ◽

1995 ◽

Vol 311 (2) ◽

pp. 123-134 ◽

Cited By ~ 11

Author(s):

Les Ebdon ◽

Michael Foulkes ◽

Karen O'Hanlon

Keyword(s):

Inductively Coupled Plasma ◽

Atomic Emission ◽

Atomic Emission Spectrometry ◽

Emission Spectrometry ◽

Plasma Atomic Emission ◽

Plasma Atomic Emission Spectrometry ◽

Element Analysis ◽

Charge Coupled Device ◽

Inductively Coupled ◽

Multi Element Analysis

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Use of Normalized Relative Line Intensities for Qualitative and Semi-Quantitative Analysis in Inductively Coupled Plasma Atomic Emission Spectrometry Using a Custom Segmented-Array Charge-Coupled Device Detector. Part II: Applications to Qualitative Analysis with Line-Rich Matrices

Applied Spectroscopy ◽

10.1366/0003702963905402 ◽

1996 ◽

Vol 50 (8) ◽

pp. 959-964 ◽

Cited By ~ 8

Author(s):

Cedric Rivier ◽

Jean-Michel Mermet

Keyword(s):

Inductively Coupled Plasma ◽

Atomic Emission ◽

Atomic Emission Spectrometry ◽

Emission Spectrometry ◽

Plasma Atomic Emission ◽

Plasma Atomic Emission Spectrometry ◽

Charge Coupled Device ◽

Inductively Coupled ◽

Line Intensities ◽

Relative Line

In a previously published work, a procedure was described to conduct qualitative analysis in inductively coupled plasma atomic emission spectrometry, keeping in mind the possibility of spectral interferences. This procedure is based on the use of both line correlation and normalized relative line intensities of given elements. When spectral interferences due to a single or two major elements are observed for an analyte, use of multiple linear regression of the normalized relative line intensities of both the analyte and the major element provides information about the certainty of the presence of the analyte. This procedure has been used with an echelle grating-based dispersive system equipped with a custom segmented-array charge-coupled device detector and evaluated with the use of line-rich matrices such as Fe, Cr, and Ni. Satisfactory results were obtained even when several lines of the analyte suffered from interference. The only limitation was the number of available lines for a given analyte.

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