Analysis and discrimination of soldering tin samples by collinear multi-pulse laser induced breakdown spectrometry, supported by inductively coupled plasma optical emission and mass spectrometry

Qualitative discrimination of coal aerosols by using the statistical evaluation of laser-induced breakdown spectroscopy data

“…The statistical functions and methods used in the present work are known in the literature and we also described them in detail in our earlier qualitative discrimination studies performed on other sample types (e.g. [16,31,34]), so here we only briefly outline their concept.…”

“…In our implementation, we normalize these functions to the range of 0 to 1. This range defines a degree of similarity (Q), where a value of 1 means "full similarity" and Q= 0 indicates "full dissimilarity" of the compared spectra [16,31,34].…”

“…First, we attempted to use common comparative functions to discriminate between the coal aerosols. We tested three functions, namely linear correlation, sum of squared deviations and overlapping integral, which we had found earlier to be fairly efficient in discrimination applications [16,31,34]. The calculations were performed on unscaled data, following spectral masking (data were only retained in the spectral windows of 344-366 nm, 376-430 nm, 460-488 nm, 599-652 nm, 730-757 nm, 807-832 nm and 856-884 nm) in order to give more weight to significant spectral features.…”

“…Mukherjee and Cheng investigated how different mass loadings in the plasma induce matrix effects during the quantitative analysis of carbonaceous aerosols [12]. At the same time, no studies have addressed the on-line, qualitative discrimination of coal aerosols according to their source coal type so far, although the potential of LIBS for the classification/identification of samples has already been successfully demonstrated on various samples, for example in microbiological [25][26][27], medical [28,29], industrial [16,30,31] or forensic [32][33][34] applications.…”

Analitikai módszerek fejlesztése folyadék és szilárd minták LIBS vizsgálatára

“…A sikeres diszkrimináció jelentős eredmény, hiszen a különbségek a két minta között csak a nyomnyi szennyezőktől származtak [122].…”